Jari Kukkonen Scaffolding Inquiry in Science Education by Means of Computer Supported Collaborative Learning: Pupils’ and Teacher Students’ Experiences Publications of the University of Eastern Finland Dissertations in Education, Humanities, and Theology No 62 JARI KUKKONEN Scaffolding inquiry in science education by means of computer supported collaborative learning: pupils’ and teacher students’ experiences Esitetään Itä-Suomen yliopiston filosofisen tiedekunnan suostumuksella julkisesti tarkastettavaksi Joensuussa Educa-rakennuksen salissa E100 perjantaina 20. helmikuuta klo 12. Kopio Niini Oy Helsinki, 2015 Sarjan toimittaja: Ritva Kantelinen Myynti: Itä-Suomen yliopiston kirjasto ISBN: 978-952-61-1678-5 (print.) ISSNL: 1798-5625 (print.) ISSN: 1798-5625 (print.) ISBN: 978-952-61-1679-2 (PDF) ISSNL: 1798-5625(PDF) ISSN: 1798-5633 (PDF) Kukkonen, Jari Scaffolding inquiry in science education by means of computer supported collaborative learning: pupils’ and teacher students’ experiences Joensuu, University of Eastern Finland, 2015. Publications of the University of Eastern Finland. Dissertations in Education, Humanities, and Theology; 62 ISBN: 978-952-61-1678-5 (print.) ISSNL: 1798-5625 (print.) ISSN: 1798-5625 (print.) ISBN: 978-952-61-1679-2 (PDF) ISSNL: 1798-5625(PDF) ISSN: 1798-5633 (PDF) ABSTRACT: SCAFFOLDING INQUIRY IN SCIENCE EDUCATION BY MEANS OF COMPUTER SUPPORTED COLLABORATIVE LEARNING: PUPILS’ AND TEACHER STUDENTS’ EXPERIENCES This dissertation investigates firstly computer supported collaborative scaffolded science inquiry learning from the perspectives of primary school pupils as learners and teacher students conceptions of scaffolded science inquiry teaching and learning. Research evidence has accumulated showing that inquiry learning is beneficial for the development of the scientific understanding of complex topics e.g. circulation systems in biology, and that inquiry learning with simulation helps understanding of topics like the greenhouse effect. In both cases the learning gains shown by research seem to be related to substantial scaffolding of the inquiry learning process. The scaffolding of science inquiry should be incorporated in the design of learning environments with suitable technology, curricula strategies, and the conscious efforts of teachers to support the learning. Moreover, one of the important aims of science instruction is in the acquisition of scientific thinking and communicating which can be achieved through the use of accurate scientific models and scientific (cultural) tools e.g. symbols, numeracy, representations of the discipline, and certain forms of technology. The first two studies (Studies I and II) discuss computer supported collaborative inquiry learning in the context of advances in fifth grade pupils understanding of a complex and multifaceted phenomena, the greenhouse effect. The design experiment addresses the effects of sequential scaffolds for simulation-based collaborative inquiry learning and the role of knowledge artefacts in the learning process. The theoretical investigation of the simulation based inquiry shows that simulations are effective means of instruction when they are integrated with other forms of instruction, when there are well designed support structures for learners interacting with the simulation, and when learner reflection which challenges previous conceptions is encouraged. The importance of integration with other forms of instruction is tied with the fact that learners need to have enough background information to be able to productively interact with the simulation. The problem of learning about the greenhouse effect has been studied extensively and research that iii learning needs to take into account complex matters like the carbon cycle (CO2), water cycle (vapour), structure of the atmosphere (e.g. confusion with the ozone layer, greenhouse gases) and energy balance (interactions of sun and heat radiation). Following the principles of design research, an instructional intervention, that is a sequence of lessons and scaffolding of the lessons during the studying process, was designed with practitioners, a teacher student and his supervisor. In Study I, it was found through the qualitative analysis of pre- and post-intervention annotated drawings that pupils demonstrated significant enrichments in their piecemeal evolving conceptions about the atmosphere and the greenhouse effect. Furthermore the delayed interview data discussed in Study II showed some permanency in the conceptions and hinted that the conceptions related to the intervention had connected with other studies e.g. mentions about photosynthesis. Studies III and IV discuss pre-service teachers’ readiness for enacting computer supported collaborative inquiry learning. Study III focuses on the conceptions the preservice teacher have about inquiry learning and how the conceptions are reflected in the context of a winter ecology inquiry scaffolded with cross linked small group blogs. The conceptions about the inquiry teaching and learning at the beginning were somewhat vague, referring loosely to some observations and interesting questions to be answered. The reflections during and after the inquiry activity could be categorized mostly as considerations about what design, material, and methods were used and could be used in teaching the winter ecology inquiry. Also the purposeful use of Blogs was reflected from a curricula point of view. However, there was less reflection on ways to enact (how) the instructional, pedagogical and curricula issues were and should be implemented in practice. Study III raised the question: to what extent do teacher students come to realize, during their studying in a designed (course) setting, the benefits of scaffolding offered by technology, peers and the teacher? Study IV investigated pre-service teachers’ experiences of the scaffolded use of a Wiki in structuring a dissection inquiry of the adaptation to life in water. The Wiki was designed to scaffold the use of digital imaging to support problematizing (noticing the features and functions of organs beyond the surface level) during the sense making process and enabling pre-service teachers to make model comparisons between their own models and expert models. Quantitative data on the benefits experienced were collected through responses to questions posted through an online questionnaire. Structure equation modelling was carried out in investigating the relationships between scaffolding and the experienced benefits of using technology. As an indicator of intentional and active participation the technology was seen to encourage knowledge acquisition and support deeper thinking on the topic. Digital imaging had the strongest positive relationship to the experienced benefits of the technology, but there was no direct relationship with the use of the Wiki. However, scaffolding by structuring the activity with the Wiki had meditational, indirect, effects through visualizations and peer support to intentional and active participation and thus the scaffolds were working during the inquiry synergistically. In the context of teacher education this may mean that teacher students iv recognize the benefits of using technology only from a significant experience (the visualization in this study) and thus may under value the role of the technology itself. The deeper structure and benefits of the intended scaffolding with the technology in the design of the inquiry learning environment, the Wiki in the Study IV, may go unnoticed. These two sets of studies (pupils: Studies I and II; teacher students: Studies III and IV) share in their designs the collaborative learning settings using computer-based artefacts, and the design focus on scaffolding the complex learning settings. For the science inquiry perspective, the settings included modelling and the learning was facilitated by comparisons of models. This dissertation also emphasizes the importance of teacher training by recognizing the difficulty that teacher students have in reflecting and fully understanding the demands of inquiry teaching. Most likely, in-service teacher training will be needed to address this matter. v Kukkonen, Jari Luonnontieteiden yhteisöllisen tutkivan oppimisen tukeminen tietokonetuetun yhteisöllisen oppimisen keinoin: oppilaiden ja opettajaksi opiskelevien kokemuksia Joensuu, University of Eastern Finland, 2015. Publications of the University of Eastern Finland. Dissertations in Education, Humanities, and Theology; 62 ISBN: 978-952-61-1678-5 (print.) ISSNL: 1798-5625 (print.) ISSN: 1798-5625 (print.) ISBN: 978-952-61-1679-2 (PDF) ISSNL: 1798-5625(PDF) ISSN: 1798-5633 (PDF) TIIVISTELMÄ: LUONNONTIETEIDEN YHTEISÖLLISEN TUTKIVAN OPPIMISEN TUKEMINEN TIETOKONETUETUN YHTEISÖLLISEN OPPIMISEN KEINOIN: OPPILAIDEN JA OPETTAJAKSI OPISKELEVIEN KOKEMUKSIA Tässä väitöskirjassa tutkitaan tieto-ja viestintäteknologiaa käyttävässä oppimisympäristössä tapahtuvaa tuettua (scaffolded) luonnontieteen yhteisöllistä tutkivaa oppimista. Tutkimuksessa käsitellään ensimmäiseksi viidesluokkalaisten oppilaiden kokemuksia tuetusta luonnontieteiden tutkivasta oppimisesta simulaation avulla ja toiseksi luokanopettajaksi opiskelevien käsityksiä ja kokemuksia tutkivasta oppimisesta ja opettamisesta. Edeltävä tutkimustieto osoittaa, että tuettu tutkiva oppiminen auttaa oppilaita hankkimaan luonnontieteellistä ymmärrystä suhteellisen monimutkaisista ilmiöistä, kuten verenkiertojärjestelmä ja kasvihuoneilmiö. Sekä simulaatioiden avulla että muutoin tapahtuvan luonnontieteellisen tutkivan opiskelun, oppimisen ja opettamisen tuloksellisuus on kytköksissä tutkivan oppimisen prosessin suhteellisen runsaaseen tukemiseen (scaffolding). Edelleen tutkivan oppimisen prosessin tukemisen tulee onnistuakseen olla sidoksissa sopivan teknologisen oppimisympäristön suunnitteluun, opetussuunnitelmallisiin ratkaisuihin; sekä erityisesti opettajan tietoiseen pyrkimykseen ja ponnisteluun oppimisen tukemisessa. Luonnontieteiden oppimisen yhtenä tärkeänä päämääränä on luonnontieteellisen ajattelutavan ja kommunikoinnin oppiminen. Näiden päämäärien saavuttamiseksi edellytetään luonnontieteellisten mallien ja välineiden; esimerkiksi symbolien, laskentamenettelyjen, tieteenalan esitystapojen, sekä tiettyjen teknologioiden hallintaa. Väitöskirjatutkimuksen ensimmäinen osa, tutkimukset yksi (I) ja kaksi (II), tarkastelevat miten viidesluokkalaisten oppilaiden ymmärrys kasvihuoneilmiöstä muuttuu opiskeltaessa tietokonetuetusti simulaation avulla, yhteisöllisen ja tutkivan oppimisen mallin mukaan. Tämän design –tutkimuksen tehtävänä on tarkastella jatkumona seuraavien tukimuotojen sekä tieto-artefaktien roolia oppimisprosessin edistämisessä. Aiempien tutkimustulosten perusteella simulaatioiden avulla tutkiva oppiminen on tehokasta silloin, kun simulointi integroituu muuhun opetukseen; oppija saa riittävästi tukea simulaation kanssa tapahtuvaan vuorovaikutukseen sekä vi simulointitehtävät haastavat reflektoimaan omia ennakkokäsityksiään kognitiivisten ristiriitojen muodostumiseksi. Erityisen tärkeäksi simuloinnin avulla tutkimisessa muuhun opetukseen integroinnin tekee se, että oppilaalla on oltava riittävästi ennakkotietoa tutkittavana olevista käsitteistä, joiden vaikutusta simulaation avulla tutkitaan. Vasta tällöin oppija pystyy tuotteliaaseen päämäärätietoiseen vuorovaikutukseen simulaation avulla. Kasvihuoneilmiön ymmärtämistä koskeva aiempi tutkimus osoittaa, että ilmiön ymmärtäminen vaatii toisiinsa vuorovaikuttavien tekijöiden tuntemusta. Tekijöitä ovat mm. hiilenkierto, vedenkierto, ilmakehän rakenne ja kasvihuonekaasut sekä auringosta tulevan säteilyn vuorovaikutus maapallon energiatasapainoon. Design ¬–tutkimuksen periaatteiden mukaisesti aluksi suunniteltiin edeltävän tutkimuksen pohjalta opetuskokeilu (design –experiment). Opetuskokeilun lähtökohtana oli rakentaa opetuksellinen jatkumo, joka tarjoaisi tukea kasvihuoneilmiön tutkimiseen simulaation avulla. Ensimmäiseksi oppilaat tutkivat tuetusti keskeisiä ilmiöitä, kuten ilmakehän rakennetta ja lopuksi simulaation avulla systemaattisesti kasvihuoneilmiötä. Ensimmäisessä tutkimuksessa esitetään, kuinka viidesluokkalaisten oppilaiden käsitykset kasvihuoneilmiöstä muuttuivat opetuskokeilun vaikutuksesta. Käsitysten muutosta tutkittiin oppilaiden tekemien selittein varustettujen piirrosten avulla. Oppilaiden piirustuksista, jotka oli tehty ennen ja jälkeen kokeilun, voitiin todeta merkittävää tieteellisten mallien mukaisten käsitteiden lisääntymistä ilmakehän rakenteesta ja kasvihuoneilmiöstä. Lisäksi tutkimuksessa II tehdyn viivästetyn haastattelun tulosten perusteella voidaan todeta, että käsityksissä kasvihuoneilmiöstä on pysyvyyttä sekä joitain sidoksia myöhemmin opetuksessa käsiteltyihin ilmiöihin, kuten yhteyttämiseen. Tutkimuksissa kolme (III) ja neljä (IV) tarkasteltiin opettajaksi opiskelevien valmiuksia suunnitella ja toteuttaa tietokoneavusteista yhteisöllistä luonnontieteiden tutkivaa oppimista. Väitöskirjan osatutkimuksen kolme kohteena oli selvittää opettajaksi opiskelevien käsityksiä tutkivasta oppimisesta sekä selvittää, miten he reflektoivat omaa käsitystään tutkivasta oppimisesta opetuskokeilun yhteydessä. Opiskelijat tekivät itsenäistä talviluonnon ekologiaan liittyvää tutkimusta. Lisäksi tutkittiin, kuinka käsitykset tutkivan oppimisen luonteesta muuttuvat. Opiskelijoiden omaa talviluonnon tutkimista tuettiin rss-syötteiden avulla toisiinsa kytkettyjen blogien avulla, siten että eri ryhmät pystyivät seuraamaan samanaikaisesti oman pienryhmänsä sekä muiden ryhmien tutkimuksen suunnittelua ja etenemistä. Tutkimuksen (III) alkuvaiheessa opettajaksi opiskelevat kuvasivat tutkivaa oppimista epämääräisesti; mielenkiintoisen kysymyksen selvittämisenä sekä havaintojen tekemisenä. Opiskelijoiden reflektiota selvitettiin opiskelun jälkeen analysoimalla heidän blogikirjoituksensa ja havaittiin, että opiskelijat pohtivat mitä materiaaleja, menetelmiä sekä opetuksen järjestelyjä tarvitaan. Lisäksi he pohtivat blogin käyttöä opetussuunnitelmallisesta näkökulmasta sisällön opettamisen ja tieto- ja viestintäteknologian yhdistämisen mahdollisuutena. Sen sijaan pedagoginen pohdinta siitä, miten koetun kaltainen tutkiva oppiminen voisi edistää luonnontieteellisen ymmärryksen kehittymistä, oli vähäisempää. Kolmas tutkimus nosti esiin entistä selvemmin tutkimuksellisen ongelman; missä määrin opettajaksi opiskelevat osaavat erottaa opiskelun tueksi suunnitellun teknologian käytön, vertaistuen sekä opettajan antaman tuen merkitystä opiskelun ja oppimisen edistämisessä. vii Väitöskirjan neljäs tutkimus käsitteli opettajaksi opiskelevien kokemuksia Wikin avulla jäsennettyä tietokonetuettua tutkimusta kalojen sopeutumisesta vesielämään. Tutkimuksessa Wikiä käytettiin tukemaan preparointi-tutkimista ja mallintamista digitaalisen kuvankäsittelyn avulla. Wikin käyttö suunniteltiin problematisoimaan havaintojen tekoa ja suuntaamaan opiskelijoiden tutkimista syvällisempään analyysiin kalan elinten toimintojen ymmärtämisessä sekä ohjaamaan heitä vertaamaan omia mallejaan asiantuntijan malleihin. Tutkimusaineisto kerättiin online –kyselyn avulla; tarkoituksena oli selvittää, miten opettajaksi opiskelevat kokivat hyötyvänsä teknologian käytöstä tutkimuksen tekemisessä. Aineisto analysoitiin kvantitatiivisesti. Rakenneyhtälö –mallinnuksen avulla pyrittiin selvittämään tutkimuksen tekemisen tukijärjestelyiden hyödyllisyyttä sekä tukijärjestelyiden välistä yhteyttä oman aktiivisen, tavoitteellisen ja tarkoituksenmukaisen opiskelun kokemiseen. Analyysi osoitti, että opettajaksi opiskelevat kokivat hyödyllisimmäksi tukijärjestelyksi digitaalisen kuvan avulla mallintamisen. Vaikka Wiki oli suunniteltu tärkeimmäksi tukimuodoksi, sen koettiin ensisijaisesti tukeneen digitaalista mallintamista sekä yhteisöllistä työskentelyä pienryhmissä. Wiki osoittautui olevan vain välillisesti yhteydessä oman aktiivisen, tavoitteellisen ja tarkoituksenmukaisen opiskelun kokemiseen. Opettajankoulutuksen kannalta tulos valitettavasti näyttäisi osoittavan, että opettajaksi opiskelevat eivät välttämättä tiedosta niitä tukimuotoja, joilla heidän oppimistaan tuetaan. Vain ne tuet havaitaan, jotka ovat välittömimmin koettavissa; esimerkiksi tässä tutkimuksessa mallintaminen digitaalisen kuvan avulla. Yhteisenä piirteenä kaikissa neljässä osatutkimuksessa oli selvittää tapoja yhteisöllisen tutkivan oppisen tukemiseksi tietokoneperustaisten artefaktien avulla monimutkaisten ilmiöiden opetuksessa. Luonnontieteiden opetuksen näkökulmasta tässä tutkimuksessa korostuvat opiskelijoiden omien ja luonnontieteellisten mallien vertailun merkitys sekä opettajan tietämyksen merkitys tutkivan oppimisen tukena. Väitöskirjan tulosten perusteella on syytä kiinnittää huomiota opettajankoulutuksessa tarjottavien tutkivan oppimisen kokemusten monipuolisuuteen ja riittävyyteen. Myöskin on erityisesti huolehdittava siitä, että tuen muodot tulevat eksplisiittisesti reflektoinnin kohteeksi. Kun huomioidaan opettajankoulutuksen sisältöjen monipuolisuus, on varsin todennäköistä, ettei opettajankoulutuksen aikana luonnontieteiden tutkiva oppiminen tule riittävästi käsitellyksi. Etenkin tästä syystä kentällä työskentelevät opettajat tarvitsevat kyseisen aiheen täydennyskoulutusta. viii Acknowledgements The work towards this dissertation started from an EU-funded project VccSSe (Virtual Community Collaborating Space for Science Education). From the early phase of the project Professor Tuula Keinonen, Lecturer Sirpa Kärkkäinen and Senior Researcher Teemu Valtonen actively collaborated with me. Very soon this collaboration started to focus on intensive research in scaffolding of science inquiry learning (thanks to Tuula) and furthermore application of the approach within teacher education. In the first study the classroom experimentation would not have happened without help from Teacher Päivi Vesala (during VccSSe project there were many other teachers, whom I owe similar gratitude from insights of the practicalities in simulation based inquiry in school). From the beginning of this research the continuous support from my supervisors Tuula Keinonen and Sirpa Kärkkäinen have been invaluable. Lecturer Anu Hartikainen-Ahia and the TOTY-group have been part of the knowledge building community during the application of the inquiry approach within teacher education. In the later stages of this research, Professor Patrick Dillon joined the core group and became one of my supervisors. While the persons mentioned are those who have been the active co-authors for the articles in this dissertation there are several other people from the Philosophical Faculty and especially the School of Applied Educational Science and Teacher Education who have supported the advancement of this work. I would like to express my gratitude to external reviewers of the thesis Professor Shu-Nu Chang Rundgren, and Professor Heli Ruokamo for their efforts, comments, and advice for further develop of my dissertation. Also there are many anonymous reviewers of the articles, whose contribution has greatly helped to develop the dissertation. Of course, during such a long period of time there are a lot of people who have been supporting my working (e.g. “east-wing team”, friends, relatives and family) who I wish to thank here also. Joensuu, December 2014 Jari Kukkonen ix List of empirical studies Study I Kukkonen, J. E., Kärkkäinen, S., Dillon, P., & Keinonen, T. (2014). The effects of scaffolded simulation-based inquiry learning on fifth-graders' representations of the greenhouse effect. International Journal of Science Education, 36(3), 406-424. http://dx.doi.org/10.1080/09500693.2013.782452 Study II Kukkonen, J. E., Kärkkäinen, S., & Keinonen, T. (2013). Fifth Graders' Views of Atmosphere. The International Journal of Science, Mathematics and Technology Learning.19(3), 113-129. Study III Kukkonen, J., Kärkkäinen, S., Valtonen, T. & Keinonen, T. (2011). Blogging to Support Inquiry-based Learning and Reflection in Teacher Students Science Education. Problems of education in the 21st century, 31(31), 73-84. Study IV Kukkonen, J., Dillon, P., Kärkkäinen, S., Hartikainen-Ahia, A. & Keinonen, T. (2014). Preservice teachers’ experiences of scaffolded learning in science through a computer supported collaborative inquiry. Education and Information Technologies. Online first 22.4.2014 http://dx.doi.org/10.1007/s10639-014-9326-8 The author of this dissertation was the corresponding author for these four studies. The author had significant responsibility in planning, designing, analysis as well as reporting the results for these four studies. x Table of Contents Abstract .................................................................................................................... iii Tiivistelmä ............................................................................................................... vi Acknowledgements ............................................................................................... ix List of empirical studies........................................................................................ x Table of Contents ................................................................................................... xi 1 Introduction ......................................................................................................... 1 2 Computer supported collaborative inquiry learning ................................... 3 2.1 Scaffolding in science inquiry learning ..................................................................... 3 2.2 An overview of computer supported collaborative inquiry learning................... 5 2.3 Computer supported collaborative inquiry learning in science education .......... 7 3 Scaffolding the CSCL process in science education ..................................... 12 4 Empirical Research.............................................................................................. 17 4.1 Aims of the research .................................................................................................... 17 4.2 Design-based research as practise oriented program ............................................. 17 4.3 Design of the empirical studies .................................................................................. 19 5 An overview of the empirical studies.............................................................. 21 5.1 Pupils learning from scaffolded simulation-based inquiry (Studies I and II) ..... 21 5.2 Teacher students’ inquiry learning and teaching conceptions (Study III) ........... 26 5.3 Teacher students’ inquiry learning experiences of scaffolding (Study IV) .......... 28 6 Main Findings and General Discussion ......................................................... 34 6.1 The effects of sequential scaffolds for simulation-based collaborative inquiry learning ............................................................................................................................... 34 6.2 Teacher students’ inquiry teaching and learning conceptions .............................. 36 6.3 Teacher students’ experienced benefits of scaffolding with technology for collaboration ....................................................................................................................... 37 6.4 Conclusions: Scaffolding and model comparisons.................................................. 38 References................................................................................................................ 40 xi LIST OF TABLES Table 1: The empirical studies their design and research topics, data sources and main methods. ................................................................................................................................. 20 Table 2: Tasks and scaffolds in the learning process. ....................................................... 23 LIST OF FIGURES Figure 1: Technology-enhanced scaffolds for computer supported collaborative inquiry learning. .................................................................................................................................. 15 Figure 2: Technology-enhanced scaffolds for computer supported collaborative inquiry learning. .................................................................................................................................. 29 Figure 3: Relations of scaffolds to experienced benefits after dissection inquiry (standardized estimates). ..................................................................................................... 31 THE MOST ESSENTIAL ABBREVIATIONS AND SYMBOLS CSCL………………………………….…….Computer supported collaborative learning ICT ................................................................Information and communication technology SEM………………………………………………………....Structural equation modelling TPACK…………………………………..Technological pedagogical content knowledge xii 1 Introduction This dissertation started from an EU-funded project VccSSe (Virtual Community Collaborating Space for Science Education, 2007-2009) that was concerned with advancing the use of simulations in education. In the VccSSe-project we were interested in designing, studying and disseminating effective ways to use simulations in science education. My task among others in the project was to participate in the experimentation and implementation of simulation-based learning in the classroom. A greenhouse effect simulation was used in the project first with an activity with teacher students who experimented with some simulations from the University of Colorado PhET collection (http://phet.colorado.edu) and also translated some of the simulations into Finnish. Later an instructional intervention, based on the idea of simulation-based inquiry, was developed in collaboration with a teacher student, a supervising teacher and me during the advanced teaching practice of the teacher student. Even though several other teachers were contacted in order to accomplish similar activities for using simulations in teaching, only a few volunteered for the VccSSe-project’s intervention activities. In part, these experiences aroused my interest in investigating teacher students’ skills and their willingness to enact inquiry teaching and learning. Using previous research literature to investigate effective ways to use simulations in science education, we noticed that it was essential to further study the circumstances where effective inquiry-based science teaching and learning approaches could be implemented. It soon turned out that while the definitions of inquiry itself varies, inquiry refers at least to what scientist do, how students learn and the pedagogical approach teachers employ. However, research on effective inquiry learning shares an essential feature, namely, the scaffolding of the inquiry learning. There is substantial researchbased knowledge about effective simulation-based science learning; here again the scaffolding and inquiry learning turned out to be the key concepts. Therefore scaffolding the science inquiry learning was an important activity also in the VccSSe-project where the effects of scaffolded inquiry were to be examined among fifth graders. Earlier we had found also that learner-centred collaborative teaching approaches, such as inquiry-based science education, are challenging to implement with information and communication technology (ICT) even for experienced teachers (Valtonen, Wulff, & Kukkonen, 2006; Valtonen, Kukkonen, Puruskainen, & Hatakka, 2007). The challenges of inquiry learning raised the question of studying also teacher students’ conceptions and perceived benefits of the scaffolding that accompanies inquiry learning. In the case of computer supported science inquiry learning, it is always necessary that teachers have the skills to plan and carry out the inquiry process with their pupils. Teacher education should be able to support teacher students´ development of the skills, knowledge and habits required in conducting inquiry learning processes. For at least a decade research and development with technology enhanced learning environments including scaffolded science inquiry learning have been conducted under 1 the framework of design based research. While rapidly developing technology had previously lead to sequential approaches in testing new developments in “interventions” in the classroom, the design based approach takes account of social context early in the design process. Design based research attempts to advance research, design and practice by requiring participants to collaborate in the early phase of the design of the technology enhanced learning environment in order to achieve maximal fit in the local context. The process of actual enactment in different settings is an important part of the research e.g. in the case of science inquiry learning the different settings include the interactions between the materials, the teachers and the learners. Also this dissertation addresses the challenge to adapt rapidly changing technologies (e.g. adapting simulations and social software; blog and Wiki) to local contexts and to study the features of design and the effect of the design on learning. While previous research clearly states that in many cases science inquiry learning would be an effective way of learning science, the actual enactment of computer supported collaborative science inquiry learning is dependent on the design in use. The computerized collaborative science inquiry learning environments are designed to be used mainly with a different language than Finnish and to fit into a different curriculum and educational system, therefore it is important to study the adaptation of the designs in Finnish educational settings. The personal experiences gained from the VccSSe-project, showed great diversity in curriculum, educational systems, and teachers’ willingness to conduct simulation-based inquiry as well as in possibilities to use ICT in classrooms in the five participating European countries. This dissertation contributes to the field of computer supported collaborative science inquiry learning in the context of primary school education. Firstly, the aim is to examine the scaffolding of fifth graders’ science inquiry learning process, while aiming to design a model for scaffolded simulation-based inquiry and the effects of scaffolding. Secondly, the aim is to examine primary school teacher students’ readiness to enact inquiry teaching and learning, and furthermore the effects of scaffolded inquiry to the experienced benefits of the scaffolding. 2 2 Computer supported collaborative inquiry learning Science education has been one of the influential fields of study and application in the research area of using ICT in education. The gradual shift of focus from the study of supporting individual learners to supporting learning through participating in communities of practices has been a characteristic of the research in both fields: the development of computer supported collaborative learning in the field of ICT in education; and inquiry-based approaches in field of science education. According to Minner, Levy and Century (2010) inquiry learning refers to the way students learn, the pedagogical approach, and what the scientist do. The core activity of inquiry learning is defined by Quintana, Reiser, Davis, Krajcik, Fretz, Duncan and Soloway (2004, 341) “as the process of posing questions and investigating them with empirical data, either through direct manipulation of variables via experiments or by constructing comparisons using existing data sets”. Inquiry-based science education is a wider concept which includes inquiry learning as a core concept, but inquiry-based science education also addresses several other issues e.g. the nature of science (NOS), curricular knowledge, the teachers’ knowledge base for implementing inquiry, student learning of science process skills to name a few (Keys & Bryan, 2001; Capps & Crawford, 2013). Research and development in the field of ICT in education has recently become oriented more towards an approach called computer supported collaborative learning (CSCL) (e.g. Koschmann, 1996; Strijbos, Kirschner, & Martens, 2004; Stahl, Koschmann, & Suthers, 2006; Lipponen 2001; Resta & Laferrière, 2007; Valtonen, 2011; Laru, 2012). Stahl et al. (2006) claim that CSCL is an emerging branch of learning sciences and the development of CSCL parallels paradigmatic changes in the field of learning sciences generally and the development of science inquiry learning especially. Both of these fields have moved from considering learning as almost solely an individual or personal matter to it being a more social and group related process (Koschmann, 1996; Kirschner, Martens, & Strijbos, 2004; Stahl, 2005). 2.1 SCAFFOLDING IN SCIENCE INQUIRY LEARNING In the field of science education a synthesis of research for the years 1984 to 2002 concludes that inquiry-based science instruction has had a positive impact on content learning (Minner et al., 2010). More specifically, the amount of active thinking and 3 emphasis on drawing conclusions from data were predictors of understanding science. Moreover, the amount of inquiry, especially hands-on engagement with science phenomena and students’ taking responsibility for their own learning, were significant predictors of better learning (Minner et al., 2010). However, in the studies analysed “students’ own responsibility” was not found to mean that inquiry learning is one form of ‘‘minimally guided instruction’’ as Kirschner, Sweller and Clark (2006) claim. Instead, most of the studies analysed had incorporated substantial scaffolding during the science inquiry learning (Minner et al., 2010). Kirschner et al. (2006) importantly points out that when novices study new content, it is extremely important to take into account the limitations of their working and long-term memory, otherwise teaching and learning can be ineffective and frustrating. Hmelo-Silver, Duncan and Chinn (2007) responded to the challenges that Kirschner et al. (2006) raised, by arguing that inquiry learning has usually been shown to be effective when it is combined with extensive scaffolding and guidance to facilitate student learning. Also Alfieri, Brooks, Aldrich and Tenenbaum (2011) based on a meta-analysis of 160 studies suggest that unassisted inquiry does not benefit learners whereas enhanced inquiry with feedback, worked examples, scaffolding and elicited explanations, does. Minner et al.’s (2010) review emphasises several long-term research-projects dedicated to developing computerised collaborative science inquiry learning environments that take into account and combine the characteristics of effective learning environments. Quite often computerised collaborative science inquiry needs to be combined with curricula development and teacher training. Some examples of environments so developed are: WISE, Web-Based Integrated Science Environment (Varma & Linn, 2012); BGuILE, Biology Guided Inquiry Learning Environment (Reiser, Tabak, Sandoval, Smith, Steinmuller, & Leone, 2001); CoVis; Collaborative Visualization over the Internet (Pea, 2002), TinkerTools (White & Frederiksen, 1998). For at least a decade this kind of research and development with technology enhanced learning environments (e.g. concerning necessary scaffolding during science inquiry learning) has been conducted under the framework of design based research (Wang & Hannafin, 2005). While rapidly developing technology had previously lead to sequential approaches in testing new developments in “interventions” in the classroom, the design based approach takes account of social context early in the design process. Design based research attempts to advance research, design and practice by requiring participants (e.g. teachers) to collaborate in the early phase of the design of the technology enhanced learning environment in order to achieve maximal fit in the local context. The process of actual enactment in different settings is an important part of the research e.g. in the case of science inquiry learning the different settings include the interactions between the materials, the teachers and the learners (the Design-Based Research Collective, 2003). However, design based research also grounds the designs in earlier research and aims to develop more general advances for both theory and design simultaneously (Wang & Hannafin, 2005; the Design-Based Research Collective, 2003). In the case of computer supported science inquiry learning, it is always necessary that teachers have the skills to plan and carry out the inquiry process with their pupils (e.g. Williams, Linn, Ammon, & Gearhart, 2004; Viilo, Seitamaa-Hakkarainen, & Hakkarainen, 4 2011; Gerard, Varma, Corliss, & Linn, 2011). Teacher education should be able to support teacher students´ development of skills, knowledge and habits required in conducting inquiry learning processes. Unfortunately neither the teachers’ nor the teacher students’ readiness to enact inquiry teaching (Fishman, Marx, Best, & Tal, 2003; Kim & Tan, 2011; Williams et al., 2004; Windschitl, 2003; Windschitl, 2004; Lakkala, Lallimo, & Hakkarainen, 2005), nor habits of scaffolding (Bliss, Askew, & Macrae, 1996) can be taken for granted. In a series of studies, Windschitl (2003,2004) has shown that teacher students’ conceptions of inquiry learning are too simplified, linear and unproblematized, and too loosely connected to theory or modelling (Windschitl, Thompson, & Braaten, 2008). Windchitl (2004) also points out that the actual willingness of the teacher or teacher students to carry out inquiry based teaching seems to be explained more by their previous experiences of participation in demanding scientific research or demanding inquiry teaching and learning. It takes years of practice to be skilled in the use of methods of inquiry and to develop relevant content knowledge and reasoning within this domain. 2.2 AN OVERVIEW INQUIRY LEARNING OF COMPUTER SUPPORTED COLLABORATIVE One practical limitation in educational settings where the collaborative use of ICT is introduced has been the cost of the equipment which has led to working in pairs and groups rather than individually. However this limitation of resources has, in practice, in some respects, been a success factor for ICT and collaborative learning. Lou, Abrami and d’Apollonia (2001) found many beneficial effects of group learning with computer technology compared to individual studying with computers. In their meta-analysis of 122 studies, working in pairs was found to support better individual achievement (posttest scores). Also larger groups performed better in tests than those studying alone. In group tasks (e.g. grades given based on group assignments/products) bigger groups (3-5 students) were found to have better performance than pairs. Learner-controlled software was found to support group task performance better and also minimal or no feedback from software was found to be more effective than elaborate feedback from software in group performance. Employing specific cooperative learning strategies, instead of offering general encouragement to collaborate or work individually was found to improve group performance. For group performance difficult tasks were found to be more favourable. Interestingly, social context was most important in achievement tests for low ability students but it also improved the achievement of high ability learners (Lou et al., 2001). Scardamalia and Bereiter’s (1994) research and development on Computer Supported Intentional Learning Environment (CSILE) parallels the rise of the computer supported collaborative learning (CSCL) paradigm. According to Scardamalia and Bereiter (1994), the ideas in CSILE were based on three lines of research and thought: 1. Intentional learning, phrased as a matter of having life goals that include a personal learning agenda (Scardamalia & Bereiter, 2006) instead of just trying to do well in school tasks and activities. 2. The process of progressive expertise: “a process of reinvestment in progressive inquiry or problem solving, addressing at increasing levels of complexity, the 5 problems of one's domain”. 3. Restructuring schools so that they become knowledgebuilding communities. This restructuring requires combining social support with intentional learning and supporting the process of developing progressive expertise with continued adaptation by making a contribution to increasing collective knowledge. Recently Scardamalia and Bereiter (2006) emphasized the importance of collective improvement of ideas as an aim of knowledge building during collaborative inquiry to enrich the collective knowing of the learning community. Scardamalia and Bereiter (2006) point out that people are not honoured for what they keep in their minds, rather for what they contribute to the community’s knowledge. In contributing to the community’s knowledge the creation of “epistemic artefacts” such as conceptual artefacts, theories and models or “epistemic things” like concrete models and experimental setups, have enhanced deliberate knowledge creation and idea improvements in the community (Scardamalia & Bereiter, 2006). Interestingly the research related to using computers in education has influenced the learning sciences generally. In research focusing on individual learning, the study of artificial intelligence and cognitive tutoring have provided sophisticated models of information processing in human learners and in computerised tutoring of individual learners. However, research on implementing the tutoring systems in actual educational settings has also made clear that in order for the tutoring to be an effective instructional tool one has to: 1) investigate the fit with curricula and 2) the learner support and scaffolding must be collaboratively developed with skilful teachers (Koedinger & Corbett, 2006). This kind of change in the focus of research and development in the field of intelligent tutoring systems in education is an illustrative example of the development in ICT in education. The field has changed from an optimistic view of individualised learning with computer based tools (Anderson, 1983) to more socially oriented, situated and community based approaches e.g. study of collaborative learning with an algebra tutor (Rummel, Mullins, & Spada, 2012). Regarding the relationship between collaborative learning and knowledge building, Stahl (2006; 2012) suggests that small groups are the engines of knowledge building and the artefacts in use are of utmost importance to progressive knowing within those groups. According to Lemke (2001), artefacts in science are similarly important: the core sense-making process of scientific investigation involves instrumentation and technologies, distributing cognition between persons and artefacts and between persons and persons, and distributed cognition mediated by artefacts, discourses, symbolic representations and the like. These remarks of the importance of artefacts in science are related to the sociocultural approach of science education (Lemke, 2001; Osborne & Dillon 2010) and they are grounded in research about the interconnectedness of the scientists´ activities to the social organization of scientific work (e.g. studies of Bruno Latour: Latour & Woolgar, 1986; Latour 1991/2006). However, Hakkarainen (2003a) criticizes sociology of science studies for neglecting the cognitive aspects of scientific work and the role of individual learning of the scientists through cultural activities. Hakkarainen (2003a) states that cognitive explanations cannot and should not be excluded from the analysis of “science in action”, but instead cognition should be considered from a cultural-historical theory of cognition (e.g. Vygotsky, 1978; Wertsch, 6 1985). Hakkarainen (2003a) argues that a cultural-historical theory of cognition explains the development of mental processes by connecting the use of symbol systems and psychological tools during communicative activity. Furthermore, Hakkarainen (2003a) concludes that the nature of scientific research, introducing the actual processes of the creation and the discovery of scientific knowledge, and especially progressive inquiry, should be part of science education (see also Lemke, 2001; Osborne & Dillon, 2010). However, Hakkarainen (2003a) as well as Lemke (2001) and Osborne and Dillon (2010) emphasizes that it is important to guide students in using systematically external representational tools (artefacts) in a disciplinary way (see also Tabak & Reiser, 2008). Recently Dillenbourg, Järvelä and Fischer (2009) have characterized the evolution of research in computer supported collaborative learning. According to them, there is a shift towards some kind of merging of CSCL into wider pedagogical settings and approximately from 1995 to 2005 the focus of the research in CSCL has been to engineer learning environments to include real time analysis of activities and to utilize these in different educational settings. According to Dillenbourg et al. (2009), after 2005 the focus of research and development has moved into “more comprehensive environments” including non-collaborative activities, multiple activities and multiple tools in both digital and physical spaces in which the teacher is one key actor and the activities must be orchestrated properly in order for the teaching to be effective. Dillenbourg et al. (2009) raise some key questions arising from the research of CSCL. Firstly, in CSCL there is not a single recipe, but in the design of CSCL environments one should create conditions in which effective interactions will occur. Three main categories of interaction have been found to facilitate learning: explanation, argumentation/negotiation and mutual regulation. Secondly, the focus of research has moved from individual learner-system interactions to group and social interactions even though the theoretical perspective takes into account both individual learning and social cognition. Thirdly, task representations mediate verbal interactions and shape social interactions, and if they get internalized they shape learners´ reasoning - a Vygotskian statement about the importance of psychological tools (cf. Vygotsky, 1978; Wertsch, 1985). Fourthly, not all interactions in collaborative learning are productive (e.g. Lipponen, 2001; Kreijns, Kirschner, & Jochems, 2003; Häkkinen & Järvelä, 2006; Häkkinen & Hämäläinen, 2012) and therefore interactions need to be scaffolded (e.g. with scripting cf. Hämäläinen, 2008; Laru, 2012) even though there is a risk of over-scripting (Dillenbourg, 2002; Hämäläinen, 2008, 56-58). 2.3 COMPUTER SUPPORTED COLLABORATIVE INQUIRY LEARNING IN SCIENCE EDUCATION In his book “Vygotsky’s Educational Theory in Cultural Context” Kozulin (2003) describes psychological tools as symbolic artefacts –signs, symbols, texts, formula, and graphic organizers– that after internalization help individuals to master their own psychological functions. Kozulin (2003) also emphasizes that each culture has its own set of tools and situations, socio-cultural activities, in which the appropriation of these tools is done by the learners. Activity here means humans as active subjects interacting with 7 fragments of the world (objects of the activity), changing it, and changing themselves in the process (Giest & Lompscher, 2003). In a Vygotskian view one key challenge for science education is that scientific concepts are fundamentally different from spontaneous concepts. Spontaneous concepts arise from generalizations of everyday activities whereas scientific concepts represent generalizations of the experiences of humankind (Karpov, 2003). According to Wertsch (1985), this difference between spontaneous concepts and scientific concepts was described by Vygotsky in terms of scientific concepts having decontextualized relationships –scientific concepts have internal hierarchical systems of interrelationships mediated through other concepts (Wertsch 1985, 103) whereas spontaneous concepts have structures that are more unsystematic and more in direct connection with the objects. However, Karpov (2003) points out that Vygotsky´s views on scientific concepts and their importance to learning did not take into account the need to include procedural knowledge in the learning of the concepts. Wertsch (1985, 196) also points out that semiotic mediation of word meanings is not enough, more accurate would be to consider activity as the unit of analysis. For science learning this means that scientific concepts mediate meanings only if they are supported by students’ mastery of relevant procedures. In other words, scientific concepts must be accompanied with methods for scientific analysis in those subject domains (Karpov, 2003, 68). In a sociocultural perspective on learning, cognitive competencies emerge through guided participation in communities of practice in which there is continuous interaction with other people through meditational means or cultural tools (Hatano & Wertsch, 2001). According to Gauvain (2001) cultures have developed many types of cultural tools like symbol systems, numeracy, and forms of technology that support daily activities, communicate ideas and sometimes transform human thinking. She also states that one important part of mental development is the gradual acquisition of skills for understanding and using symbolic, representational systems in culturally specific ways. In guided participation the scaffolds for appropriating cultural tools are essential and closely related to Tabak´s disciplinary stance, that is, disciplinary ways of knowing, doing and talking (Tabak, 2004). Cultural tools enable some communality among the group of practitioners, yet they allow individuals to be active and make unique actions. These interrelated means or tools include physical tools, shared knowledge, and shared patterns of behaviour in using the means (Hatano & Wertsch, 2001). Scientific models have an important role in communities of scientists; they serve as cultural tools in the community of practice by contributing to communication between scientists. Models, which are used as cultural tools in scientific communities have several characteristics: 1) the model is related to the target (e.g. a system, object), 2) the model is a research tool which is used to obtain information about the target which cannot be directly observed or measured, 3) the model cannot interact directly with the target it represents, 4) the model bears some analogies to the target and it allows the possibility to derive and test hypotheses when studying the target, 5) the model is, in general, as simple as possible and differs from the target, 6) the model compromises between analogies and differences with the target, and 7) the model is developed through iteration, revised during the stages of studying the target (Van Driel & Verloop, 1999). 8 According to Gobert and Pallant (2004), scientific inquiry type learning involves replicating the activities and tasks of science –including developing, working and communicating with scientific models. In these activities, students are engaged in a collaborative search for evidence, and engage in collaborative design and collaborative analysis and reporting. There is evidence of problems regarding students’ conceptions of scientific models such as respiratory systems (Chi, De Leeuw, Chiu, & LaVancher, 1994; Gadgil, NokesMalach, & Chi, 2012). Setting up comparisons between expert scientific models and students personal models has been suggested as an effective way to support the learning of complex phenomena. Gadgil et al. (2012) studied change in students’ mental models of the respiratory system through making a study contrasting a self-explanation approach and a holistic confrontation approach. In the holistic confrontation approach (Gadgil et al., 2012), during study learners were asked to make comparisons of their own diagrams (flawed models) with an expert model, while in the self-explanation approach students were asked to explain the expert model. During the intervention, students were asked to think aloud but also some questions were asked: in the comparison situation they had to explain about comparison of the models as well as their structure and function, whereas in the explaining situation they had to explain about the expert model, its structure and function. Gadgil et al. (2012) found that comparison of the models led to better learning; specifically, after the intervention 90 % of the students were able to produce a correct double-loop model, whereas self-explanation led to 64% being correct. Declarative knowledge and knowledge interference tests indicated similar effects. Analysis also showed that students produced more constructive, function related statements in the model comparison condition than they did in the explaining condition (Gadgil et al., 2012). Özdemir and Clark (2007) characterize the problem of studying students’ conceptions as cognitive (mental) models, questioning whether the student´s knowledge is most accurately represented as a coherent theory like construction (as scientific models are), or if it is more like a collection of piecemeal, continually evolving, constructs (which they call ‘knowledge-as-elements perspective’) (e.g. p-prims of diSessa, 2002). In order to demonstrate the difference between these points of view, diSessa, Gillespie and Esterly (2004) made what they called a ‘quasi-replication’ of Ioannides and Vosniadou (2002) study and found that in the case of the concept of forces, thee coherence in pupils´ conceptions is not as strong as Ioannides and Vosniadou (2002) claimed. A somewhat similar discrepancy in the conceptions of force was found from Turkish students´ knowledge in Özdemir´s and Clark´s (2009) study. Özdemir and Clark (2007) also discuss the implications of this discrepancy in pupils’ conceptions (knowledge-as-elements perspective) in curricula design. Namely, it raises the need to activate the reconstruction of knowledge from these piecemeal constructs in multiple contexts, with multiple (computational) representations, and to expect more diversity in students’ descriptions of complex phenomena. Pupils have also difficulties in identifying the relevant meanings of individual concepts in their proper contexts with respect to the problems, like multifaceted environmental problems such as the greenhouse effect (Österlind, 2005). 9 Schoultz, Säljö and Wyndhamn (2001) discuss the tool dependent nature of human reasoning. When a concrete tool like a globe is used to support pupils’ thinking, there is clear benefit to their reasoning and they produce more accurate explanations about gravitation and scientific conceptions of it. Stahl (2006) also emphasises the role of tools, using the term artefacts when defining group cognition and social meaning making processes. Stahl (2006) points out that in Vygosky´s theory the cultural tools or artefacts (including symbols) are central to interpersonal meaning making. The meaning emerges firstly in the external intersubjective world of other peoples and physical objects in which individuals reciprocally construct interpretations during joint activity. In the second stage these meaning making activities can take further transformations and lead to internalization of the process as a psychological function or cognitive artefact (Stahl, 2006, 339). Schoultz et al. (2001) demonstrated in their study how cultural models reshaped the way pupils re-interpreted their conceptions during social participation, in this case when discussing about gravitation and the Earth. Vosniadou, Skopeliti and Ikospentaki (2005) could partially reproduce the effect of pupils reasoning with external, cultural models leading to more accurate scientific conceptions. However, pupils (1st and 3rd graders) still tended to produce confused explanations soon after the tool was removed. Vosniadou et al. (2005, 336) state that when describing reasoning with readymade models, different learning goals are in question than when one generates one’s own models and bases one’s reasoning on them. The importance of cultural tools in reasoning has also been demonstrated by Jakobsson, Mäkitalo and Säljö (2009) in the gradual refinement of pupils´ conceptions of the greenhouse effect. They show how skilful pupils are in reasoning about the phenomenon when they are allowed to interact with each other and with cultural tools as meditational means. Computer simulations have been shown to offer one effective way to present concrete scientific models to support student-centred science instruction which emphasizes the skills, attitudes and values of scientific inquiry (Smetana & Bell, 2012). Clark, Nelson, Sengupta and D’Angelo (2009) define simulations as computational models of real or hypothesized situations or phenomena that allow users to explore the implications of manipulating or modifying parameters in the model where simulations can be started, stopped, examined and restarted with new parameters in ways not possible in real situations. Smetana and Bell (2012) conclude, based on a review of 61 studies starting from the 1970s, that simulations are effective instructional tools when instruction involves students in inquiry-based science explorations. According to them simulations can help students to cope with complex tasks and the use of simulations can be supportive to lower achieving students. However, the effective use of simulations presumes that the simulation-based inquiry: (a) is integrated with other forms of instruction, i.e. curricular fit in design; (b) incorporates high-quality support structures for learners interacting with the simulation, i.e. it is properly scaffolded; (c) encourages learner reflection; and (d) promotes cognitive dissonance for challenging previous conceptions. Smetana and Bell (2012) also point out that the relationship of scaffolding to the instructional setting and the sequence in which simulations are most effective in different settings are both worthy of further study. 10 Previous research has frequently highlighted that an inquiry-based approach and field work are not only important but essential in teaching and learning about ecology at primary and secondary school levels, as well as at university level (e.g. Chin & Chia, 2006; Ergazaki & Zogza, 2008; Finn, Maxwell, & Calver, 2002; Sander, Jelemenska, & Kattmann, 2006). After careful comparison of inquiry learning models, Bell, Urhahne, Schanze and Ploetzner (2010) discovered that collaborative inquiry learning has been described with its main elements being similar to those of the inquiry process. Typically, a model starts from “orienting and asking questions”, from which students ideally find the driving question to be investigated by scientific means. This is followed by the hypothesis generation process in which an observable relation between variables can be formulated. In the planning process, validation of the hypothesis is explicated by the selection of appropriate measurement instruments or methods. The investigation process consists of empirical actions to collect information or data e.g. making experiments, measurements, and organizing the data. In the analysis and interpretation phase, the data should be used for making arguments for or against the hypothesis. In the case of science learning, there should be a process of model creation or refinement based on theoretical considerations combined with the results of the inquiry process. In the conclusions and evaluation process, all the students’ previous accomplishments should be evaluated against other experiments and theory in the field in question in order to find out how the results fit within the theory or models. Communication is described as a whole process lasting through the inquiry and leading to reflection on one’s own work while at the same time collaborating with other participants in the inquiry work. Finally, the “prediction” process connects knowledge already gained and the results of the inquiry process into broader possibilities of application to the theory which might lead back to the starting point, asking new questions and orienting to a new inquiry cycle (Bell et al., 2010). Since a dedicated computerised collaborative inquiry learning environment is not always available, it is necessary that teachers have the skills to plan and carry out the inquiry process with their pupils. Teacher education should be able to support teacher students´ development of the skills, knowledge and habits required in conducting inquiry learning processes. Recently there has been heavy emphasis toward using social software as tools for collaborative learning practices. Social software like blogs, wikienvironments, Facebook etc. have been described as software which support users’ interaction and collaboration (Boyd, 2003). According to Alexander (2006), social software sets users into more active roles; users create and publish material, comment on each other’s work, create and participate, acting simultaneously both as readers and writers (Maged, Kamel, & Wheelert, 2007; Sinclair, 2007). These characteristics of social software align well with the features of inquiry learning described by Bell et al. (2010) and explained in the previous paragraph. Social software potentially provides numerous tools for supporting students’ active interaction and the building of new knowledge during the inquiry process. 11 3 Scaffolding the CSCL process in science education According to Wood, Bruner and Ross (1976), scaffolding is a process during which a more expert person helps another who is less expert in the context of skill acquisition or problem solving. Through scaffolding the novice will be able to accomplish the task goal or solve a problem that is beyond unassisted efforts. In order to be able to learn from the experience, the novice must comprehend and be able to recognize a path which provides a solution to a class of problems and be able to produce the solutions without assistance. Wood et al. (1976) also propose six critical tasks or scaffolds for the tutor: 1. Recruitment: arousing and sustaining the learner’s interest in the task; 2. Reduction in degrees of freedom: reducing the number or complexity of the activities which are needed to accomplish the task; 3. Direction maintenance: keeping the learner on track towards the furthest goal, not being satisfied with accomplishing success in the sub-goal; 4. Marking the critical features: showing the relevancy of features in the process of accomplishing the task; 5. Controlling frustration: helping the learner to avoid stress overload during work, yet avoiding full dependency on the tutor or scaffolds; 6. Demonstrating or modelling the solution of the task. Puntambekar and Kolodner (2005) have rephrased the central features of scaffolded instruction: a. common goal, shared understanding of the activity; b. ongoing diagnosis of the student’s capacities and level of understanding as a basis for evaluating the support needed for accomplishment of the task and sub-goals; c. dynamic and adaptive support, based on the ongoing diagnosis; d. dialogic interaction which enables teacher and peers to assess the student´s understanding and role changes during the task; e. fading and gradual transfer of responsibility (of control) to the learner. According to Sharma and Hannafin (2007), scaffolding and the zone of proximal development (ZDP) both involve interaction between the novice and the expert; the novice usually being the learner, working and performing a task at a developmental level that would be out of his/her reach without the assistance of an expert, i.e. the strategies suggested by Wood et al. (1976) and Puntambekar and Kolodner (2005). Reiser (2004) offers two aims for scaffolding: the first is to support the learner in accomplishing the task and the second is to support learning from the task and improving future performance. These two goals imply two scaffolding strategies: scaffolding by structuring and scaffolding by problematizing. Further, Reiser (2004) claims that the main situations where scaffolding is needed in collaborative inquiry learning are: unfamiliar strategies (e.g. inquiry strategies); unfamiliar interaction practices (e.g. collaborative planning, evaluation, keeping track of alternatives); unfamiliar discourse practices (e.g. expressing hypothesis, arguing on the basis of 12 evidence, also falsifying); non-reflective work, which raises the need for scaffolding by problematizing (the learner tends to focus on superficial aspects of products/objects instead of the explanations and arguments they produce); and superficial understanding (e.g. no scientific constructs and formal representations). Development of expert like model-based reasoning during inquiry is an important learning goal for all learners of science and scaffolding the process is very important. For example Hsu, Lin, Wu, Lee and Hwang (2011) studied how people with different levels of knowledge and expertise reason while designing an inquiry for investigating air quality: experts (atmospheric science PhD students), ‘intermediates’ (PhD students in a different field), advanced novices (talented 11th and 12th graders) and novices (10th graders). They asked the participants to elaborate details of their research design, including potential variables, data collection and the prediction of results. In their analysis, they identified different reasoning strategies and found that experts used model-based theory driven reasoning; intermediates and advanced novices used relationbased reasoning; and novices used phenomena-based reasoning or in many cases, inappropriate reasoning and justifications. Overall, the designing of an appropriate investigation about air quality was a somewhat difficult task for the participants and it was almost too difficult for the novices, the 10th graders. However, Hsu et al. (2011) concluded that there was a gradual increase in modelling skills across the groups as well as interaction between the knowledge structures and modelling skills, leading to expertlike knowledge and reasoning. Based on their findings, Hsu et al. (2011) suggest the following design principles for model-based teaching and curricular development: 1. Designing of learning activities to encourage model-based reasoning; 2. Scaffolding one’s modelling with multiple representations; 3. Testing the models in an authentic context; and 4. Nurturing novices’ domain-specific knowledge during modelling. Similar learning needs in teacher students have been reported by Windschitl (2003; 2004). Windschitl (2003; 2004) claims that in many cases teacher students’ conceptions of inquiry learning are too simplified, linear and unproblematic and loosely connected to theory or modelling. However, with a carefully scaffolded inquiry project most of the participating teacher students reconceptualised more expert like conceptions about the importance of theory and model-based reasoning during inquiry and about the inquiry process and learning within it (Windschitl et al., 2008). Nowadays, scaffolding in computer supported collaborative learning includes symbols, numeracy, representations of the discipline, and certain forms of technology (Sherin, Reiser, & Edelson 2004; Quintana et al., 2004). According to Reiser (2004), tools can be a critical factor in tasks that involve accessing, manipulating, storing and reasoning about information; for example, visualisation with tools can provide conceptually meaningful representations and help users form deep models of the underlying system. Quintana et al. (2004) define three central processes related to scientific reasoning and scaffolding: sense making as a process for testing hypotheses and interpreting data; process management for controlling the inquiry process and articulation; and reflection, as a process for constructing and articulating what has been learned. Firstly, in sense making, learners must understand how to represent with formal scientific representations (e.g. chemical structures) what they intuitively know and what 13 is also known. They must also be able to modify these representations to develop an empirical test, encode new information into representations (e.g. numerical values and graphical representation) and make inferences in a disciplinary way, while noting what is important about scientific situations. Secondly, science inquiry is an ill-structured problem solving process in which learners need support for process management. During the investigation, novice learners may lack the expert’s knowledge about the relevant actions and activities such as implementing the investigation plan and keeping track of the hypothesis and results. Thirdly, reflection processes are critical parts of inquiry and essential to process management and sense making. Inquiry involves constructing and articulating arguments, reviewing and reflecting on them, synthesizing explanations of results, deciding the weaknesses and strengths in one’s own thinking and within the investigation process (Quintana et al., 2004). Wu and Pedersen (2011) found that at least in a relatively short (10 sessions) intervention, a combination of early teacher-based metacognitive and computer-based continuous procedural scaffolding was most effective in supporting the development of science inquiry skills. However, students still needed conceptual scaffolds to support their conceptual learning. Kali and Linn (2008) in an analysis of supports used in studies of several technologyenhanced science learning environments (e.g. Wise, Model-IT) have listed four scaffolding meta-principles found to be effective: a) make science accessible e.g. by communicating the diversity of science inquiry and by connecting the learning to interests or ideas of the learner, b) make thinking visible e.g. by templates to organize learners ideas or by animating, visualizing, articulating, or representing complex phenomena in multiple ways, c) enable students to learn from each other e.g. by asking them to explain their ideas and to critique the ideas of others, and d) promote selfdirected learning e.g. by encouraging reflection, helping the monitoring of progress and encouraging self-explanations. To summarize, the scaffolding inquiry with means of computer supported collaborative learning should take into account the scaffolding principles presented in Figure 1. Figure 1 is a tentative model of technology-enhanced scaffolds for computer supported collaborative inquiry learning. The model is made by integrating Kali and Linn’s (2008) scaffolding principles with (i) previously discussed socio-cultural learning principles (see chapter 2.3.); (ii) Stahl’s (2006, 210) mediating tools and systems (see also Suthers, 2006); and (iii) mental model development (Buckley, Gobert, Kindfield, Horwitz, Tinker, Gerlits, Wilensky, Dede, & Willet, 2004). 14 Interpersonal Cultural models and tools Scaffolds: Help Learners Learn from Each Other Mediating Organisational tools and memory artifactssystems Model comparison Cuturalartifacts Instructional models diagrams explanations graphs simulations Scaffolds: Make Science Accessible Learner's model Interpretation declarative, procedural, and inferential knowledge inference reasoning generating evaluation Model revision Intrapersonal Individual Public statements Personal external memory devices prior knowledge Model reinforcement Scaffolds: Make Thinking Visible Phenomena experiences experiments new information Scaffolds: Promote Reflection Cultural Figure 1: Technology-enhanced scaffolds for computer supported collaborative inquiry learning. According to Stahl (2006), the computerized tools can have an important role in a small group’s shared meaning making, allowing the participants to make mutual contributions and interpretations in the joint social problem space (see also Sarmiento & Stahl, 2008a, 2008b). The computerized learning environments can serve as an organisational memory of the group, and also as a place to (re)construct participants own conceptions (Stahl, 2012). Similarly, Jonassen, Peck and Wilson (1999) and Vahtivuori, Ruokamo, Tella and Tuovinen (2002) argue, when defining critical factors of meaningful learning, that learning should be active enabling learners to manipulate the environment and the objects in it in order to see the consequences of their activities (see also Ausubel, 1963). For meaningfulness the learning should also be constructive offering possibilities for learners to articulate (e.g. by making artifacts) and express their own conceptions (after making interpretations) and then explore the topic (e.g. with cultural models) and reflect on it more deeply in order to develop more complex mental models (e.g. by making comparisons of their own mental models with cultural/scientific models). In Figure 1 it is also suggested that cultural models and tools of the science community/culture should be made accessible by scaffolding. This scaffolding could mean that by designing and offering instructional models, usually somewhat simpler models than those used by the researchers/scientific community, students’ reasoning that would otherwise be too demanding (e.g. by primary school children cf. Edelson, Gordin, 15 & Pea, 1999) might be supported. In this dissertation one example is the simulation of the greenhouse effect which is modified for pedagogical reasons. However, as mentioned earlier, also the models of the research community (cultural models in Figure 1) differ in level of detail or analogy to the phenomena (cf. Van Driel & Verloop, 1999) and therefore several instructional models may be required during instruction. Several models may be needed also in order to have available the multiple representations suggested by Hsu et al., (2011). However, research seems to indicate that in many cases learning of complex phenomena leads to learners’ models (cf. Buckley et al., 2004) that are inconsistent and more like collections of piecemeal, continually evolving, constructs (knowledge-as elements) (Özdemir & Clark 2007, 2009; diSessa, 2002; diSessa et al., 2004). Model comparison may help the process of gaining more coherent scientific conceptions (Gadgil et al., 2012). Recently Belland (2011) has reviewed computer supported scaffolding of illstructured problems from the perspective of distributed cognition and sets out the ultimate goal of scaffolding to gradually transfer responsibility of executive functioning from scaffold provider to learner. In the context of distributed cognition, the cognitive system consists of information and agents with an executive function, where cognition is distributed among the individual, other individuals and various artefacts such as physical and symbolic tools (cf. Lemke, 2001), and no individual alone carries out the entire extent of the cognition required to complete the overall task (e.g. inquiry or problem solving) (Hutchins, 1991; Putnam & Borko, 2000; Belland, 2011). This perspective changes the nature of computer-based scaffolds so that the scaffolds allow students to engage in cognition that is beyond what they can do by themselves, for example scaffolds can simplify the process of creating and making evidence-based arguments (Belland, 2011; Tabak & Reiser, 2008). Belland (2011) also offers four principles for scaffolding, derived from a review of research findings), which he claims are supported by empirical evidence of their effectiveness. (The two most extensively supported by the literature are: 1) support problem reformulation through qualitative modelling, and 2) have students work cooperatively. The first: 1) support problem reformulation through qualitative modelling, is similar to Kali and Linn’s (2008) guideline of making thinking visible and by reformulating the problem through qualitative modelling: students can make choices regarding pertinent information and pertinent characteristics of stakeholders in order to assume the executive function. Also Jonassen et al. (1999) and Vahtivuori et al., 2002) suggest that learning should be intentional (the learner having the executive function) and the learning environment should offer opportunities for learners to articulate their own goals, the decisions they make, the strategies they use, and the answers they find. The second: 2) have students work cooperatively, is similar to Kali and Linn’s (2008) guideline of enabling students to learn from each other. In a distributed cognitive perspective, having multiple students’ representations and shared tools may lead to more elaboration from different perspectives during problem solving (Belland, 2011). Jonassen et al. (1999) and Vahtivuori et al. (2002) suggest that for meaningful learning the learning should be collaborative and conversational; the learning environment should offer learners opportunities (scaffolding) to negotiate common understandings about the topic and benefit from the multiple viewpoints of their peers. 16 4 Empirical Research 4.1 AIMS OF THE RESEARCH This research investigates scaffolding as a critical aspect of the design and implementation of computer supported collaborative inquiry learning in science education among primary school pupils and teacher students. The first two studies (studies I and II) discuss computer supported collaborative inquiry learning investigating: a) The effects of sequential scaffolds for simulation-based collaborative inquiry learning b) The role of knowledge artefacts in advancing understanding of a complex and multifaceted phenomena (the greenhouse effect). The research task of the two following studies (III and IV) about teacher students’ conceptions of inquiry learning arose from the initial design of the first two studies of simulation-based inquiry. Specifically, the teacher student and supervising teacher who enacted the final design into practice in a fifth grade class both raised concerns about the demanding nature of the simulation-based inquiry of the greenhouse effect. A review of the literature revealed similar concerns about inquiry teaching and so the two matters came together as a topic for further research. The context of Study III was a teacher students’ winter ecology inquiry and the context of Study IV was teacher students’ inquiry learning about the adaptation of fish to water. The research investigations of the second two studies were to investigate teacher students: a) Initial conceptions of inquiry (Study III) b) The effects of scaffolding (Study III and Study IV) on their experiences with inquiry learning and conceptions about scaffolding needs and effective ways of scaffolding c) The role of knowledge artefacts and multiple representations in advancing understanding of complex and multifaceted topics: winter ecology (Study III) and fish adaptation into water (Study IV). 4.2 DESIGN-BASED RESEARCH AS PRACTISE ORIENTED PROGRAM In recent years research in ICT in education has increasingly combined iterative design, research and practice with concurrent activity in design-based research in order to develop both theoretical insights and practical influences (Wang & Hannafin, 2005). The rapid development of technologies may offer new possibilities in dealing with educational problems but it also brings new challenges. Similarly science education inquiry learning offers promises of learning gains (cf. Minner et al, 2010), but also is challenging for both teachers and students. This dissertation investigates inquiry learning in science education through design-based research and investigates the modes of scaffolding with technology in the process of inquiry learning. 17 The Design-Based Research Collective (2003) argues that design-based research is a blended approach which tries to address the need to integrate and engineer theorydriven learning environments and to support research of learning in context through the systematic design of instructional strategies and tools such as activity structures, institutions, scaffolds, and curricula (see also Collins, Joseph, & Bielaczyc, 2004). According to Barab and Squire (2004), the fundamental assumption in design-based research is that cognition does not belong solely to an individual thinker, instead it is a distributed process co-constituted across individuals, the environment, and the activity in which the learner participates (see also Vesisenaho & Dillon, 2013). Barab and Squire (2004) stress that in seeking to engage students in the making of science, it has been found that learning science must involve developing technological tools, curriculum and theories (also “prototheories”; Design-Based Research Collective, 2003). In this way students may systematically develop an understanding of how such learning occurs and be able to make predictions about it. Such design research can yield outcomes that have better potential for influencing educational practice, while the designs can be adopted elsewhere and the research results can be validated through subsequent use (Barab & Squire, 2004). In design research the research process is managed, designed, implemented and systematically refined in collaboration with practitioners (e.g. teachers, students) in order to advance pragmatic and theoretical aims simultaneously (Wang & Hannafin, 2005; Design-Based Research Collective, 2003; Barab & Squire (2004 ). Barab and Squire (2004) claim that design-based research has pragmatic philosophical underpinnings (also Cobb, Confrey, diSessa, Lehrer, & Schauble, 2003; Wang & Hannafin, 2005) in which theories are judged not by claims to truth but by their ability to produce changes in the world (Barab & Squire, 2004, 6). In other words, the importance of local context is not only affecting the research but the changes in local context arising from the design experiments are necessary, though not sufficient, evidence for the viability of a theory. This according to Barab and Squire (2004) is consequential to the issue of what counts as creditable evidence for the theory and they propose that sound methodological argument in the social sciences should touch the issues of trustworthiness, creditability and usefulness. Trustworthiness and creditability are according to Barab and Squire (2004) akin to reliability and validity and usefulness somewhat akin to generalizability and external validity. However, these claims do not necessarily require the use of objective and quantitative methods for demonstrating that criteria have been met. Barab and Squire (2004) explain that design-based research is a mode of inquiry that embraces the notion of consequential validity and even though the research is adapted to local practices (Wang & Hannafin, 2005; Design-Based Research Collective, 2003; Barab & Squire, 2004) it can achieve replicability of essential features of the design and theory, not by simply sharing the designed artefact, but by providing rich descriptions of context (also in qualitative approach see Onwuegbuzie & Leech, 2007), guiding the emerging theory, the design features of the intervention, and the impact of these features on participation and learning (Barab & Squire, 2004). Anderson and Shattuck (2012) claim that in practice the design-based research program has utilized mixed methods approaches for a decade by using a variety of research tools and techniques (Anderson & Shattuck, 2012). The design-based research 18 program shares the same pragmatic philosophical underpinning to mixed methods approaches as explained by Johnson and Onwuegbuzie (2004). However, Niaz (2008, 288) has explained how modern philosophy can be applied to mixed methods research to resolve some of the problems with pragmatic philosophical approaches. As Niaz (2008, 302) observes, “mixed methods research programmes (not paradigms) in education can facilitate the construction of robust research strategies, provided that we let the problem situation (as studied by practicing researchers), decide the methodology”. 4.3 DESIGN OF THE EMPIRICAL STUDIES The four studies are presented in Table 1. The table shows participants, design and research topics, data sources and methods. This dissertation investigates inquiry learning in science education by making design-based research and investigates the modes of scaffolding with technology in the process of inquiry learning. The central design topic for studies I and II is to develop the sequence of scaffolds to enable the young pupils to conduct the simulation-based inquiry (practical aim of Studies I and II) and simultaneously investigate the effects of the scaffolding and use of the multiple representations in collaborative learning of a complex, multifaceted topic, in this case the greenhouse effect (learning theoretical aim). The central design topic for studies III and IV is to scaffold the teacher students’ collaborative inquiry with social media (blog and Wiki) and simultaneously investigate teacher students’ conceptions about inquiry teaching and learning, and their conceptions about scaffolding. In these empirical studies we assume the mixed methods approach for design-based research as relevant; the problem situation has great influence on the methodology for both the design of the learning environment (practical aims) as well as to the research methods (theoretical aims). 19 Table 1: The empirical studies their design and research topics, data sources and main methods. Study I Subjects Design and Research Data Source Data analysis topic Fifth grade Design topic: sequence Annotated Qualitative pupils (n=21) of scaffolds of drawings content analysis simulation-based inquiry Research topic: Effects of scaffolded simulation-based inquiry and multiple representations to pupils’ conceptions of II the greenhouse effect. Fifth grade Design topic: scaffolds Stimulated (with Qualitative pupils (n=21) of simulation-based drawings) content analysis inquiry interview Research topic: Consistency of the pupils’ conceptions of the greenhouse effect. III Primary school Design topic: blog writings/ Qualitative teacher scaffolding collaborative postings content analysis students inquiry learning with online (descriptive (n=12) blogs questionnaire statistics) Research topic: Teachers students conceptions of inquiry IV teaching and learning Primary school Design topic: online Statistical teacher scaffolding collaborative questionnaire analysis students inquiry learning with (n=114) Wiki and digital imaging Research topic: Teachers students conceptions of scaffolds during inquiry learning 20 5 An overview of the empirical studies 5.1 PUPILS LEARNING FROM SCAFFOLDED SIMULATION-BASED INQUIRY (STUDY I AND II) Study I Kukkonen, J. E., Kärkkäinen, S., Dillon, P., & Keinonen, T. (2014). The effects of scaffolded simulation-based inquiry learning on fifth-graders' representations of the greenhouse effect. International Journal of Science Education, 36(3), 406-424. http://dx.doi.org/10.1080/09500693.2013.782452 Study II Kukkonen, J. E., Kärkkäinen, S., & Keinonen, T. (2013). Fifth Graders' Views of Atmosphere. The International Journal of Science, Mathematics and Technology Learning. 19(3), 113-129. Studies I and II examined the influence of scaffolded simulation-based inquiry learning on fifth-graders’ (n=21) conceptions of the atmosphere generally and of the greenhouse effect specifically. Background A key mechanism is that greenhouse gases selectively absorb some of the Sun’s energy that is first radiated by the Earth’s surface and then radiated back towards the Earth, warming the atmosphere. The main greenhouse gases are water vapour, carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O). Even this simplified description shows that complex phenomena are involved which require a multiplicity of topics to be covered in the design of instructional interventions to assist pupils in learning about them. The design of the studies builds on earlier research as follows: Shepardson, Niyogi, Roychoudhury and Hirsch, (2011b) composed a ‘climate system framework’ which includes several key constructs among which are: climate and weather system, earth´s energy budget, solar radiation, atmosphere, oceans and land and vegetation. They claim that in order to acquire the knowledge and skills to understand climate change, pupils should study historical data and use model-based projections in support of gradual conceptual progression. Edelson et al. (1999) have addressed global warming within a similar integrative curricular framework incorporating a computer-based, visual inquiry approach. Varma and Linn (2012) suggest investigating the underlying processes through 21 visual inquiry where activities are offered for controlled experimentation and exploration of interactions of the variables involved: solar energy, infrared energy, greenhouse gases, clouds and albedo. In the work reported in this dissertation, we used a translated version of the greenhouse effect simulation from the University of Colorado PhET collection (http://phet.colorado.edu) within a series of scaffolded lessons. The simulation is visually rich and involves experimenting with variables. Design Principles Important to Learning Design research tries to advance the principle that results have better potential for influencing educational practice when the designs can be adopted elsewhere and research results can be validated through consequential use. The key design principles of each design topic are reported hereafter for each study in the dissertation. Since studies I and II share the same design, the shared design principles are reported here. Based on the results of 61 studies, Smetana and Bell (2012) conclude that simulations are effective instructional tools when they: (a) are integrated with other forms of instruction; (b) incorporate high-quality support structures for learners interacting with the simulation; (c) encourage learner reflection; and (d) promote cognitive dissonance for challenging previous conceptions. Chang, Chen, Lin and Sung (2008) combine aspects of scaffolding which in several studies have been found to be conditions for significant advantages in simulation-based inquiry learning. The first is to ascertain the level of background knowledge in order for learners to make a hypothesis. The better the background knowledge, the more learners benefit from higher interactivity simulations (i.e. those involving more parameters) and gain significantly increased comprehension scores. Learners with lower background knowledge benefit more from lower interactivity (restricted parameters), but do not necessarily get a significant increase in comprehension scores (Park, Lee, & Kim, 2009). Second, it is important to help learners to make, evaluate and modify hypotheses while conducting experiments in simulation-based inquiry learning. Then learners need help in conducting experiments and in interpreting data. Finally, they need help in regulating the learning process (i.e. following through an activity rather than stopping when early sub-goals are achieved) which is also one target for scaffolding. These critical aspects of simulation-based inquiry learning are in accordance with the findings of Rutten, van Joolingen and van der Veen (2011) who conclude that it is very important to find the right balance between mandatory support and creative freedom. When giving support, the best timing for providing background information is before task practice. Methods The context of the studies I and II was the unit “What is the greenhouse effect?” for fifth grade pupils. The intervention was developed by the school teacher, the teacher student and the two science educators/researchers through a series of iterative development 22 cycles on the planning and revision of instruction guides, assignments and worksheets and the evaluation of resources. The unit comprised five lessons dealing with an introduction to the Earth as a planet of different interacting cycles and systems which affect each other, including the basic physics and chemistry. The topics included the climate, the atmosphere, clouds, gases, the carbon cycle and their impact on the greenhouse effect culminating in a systematic investigation, with the aid of the simulation, about the dynamic interactional effects of these factors to the average temperature as the central mechanism of the greenhouse effect. Based on previous studies, it was assumed that for the utility of the simulation-based inquiry, there should be two important scaffolds (Table 2): the first to ensure some background knowledge of the factors (variables) that contribute to the phenomena under investigation with the simulation (the greenhouse effect) and the second to ensure systematic experimentation with the simulation, namely systematically controlling the variables and making observations. Table 2: Tasks and scaffolds in the learning process. Lesson Tasks Scaffold 1st, 45 min Drawing and mind map Discussion 2nd, 90 min Structure of atmosphere, Background information, Water cycle (Problem guiding solving, group work, use of questions on worksheet, discussion internet, discussion) 3rd, 45 min Carbon cycle Background (Reading, inquiry, search for information on worksheet, discussion information, the net, group work, discussion ) 4th, 90 min Greenhouse effect (Simulation: greenhouse University a effect of Procedural scaffolding for translated version simulation from Colorado of the investigation of one variable at a time PhET (http://phet.colorado.edu collection ) 5th, 45 min Drawing, mind map Discussion Data of Study I The pupils were asked to make annotated drawings about the greenhouse effect both before and after scaffolding through simulation-based instructional interventions. The data were analysed qualitatively (Patton, 1990) to investigate the impact of the interventions on the representations that pupils used in their descriptions of the greenhouse effect. 23 Results of Study I The study focused on the development and enrichment of pupils’ representations as an indicator of the extent to which they had appropriated the tools and the representations used in the scaffolded simulation-based inquiry sequence. The emergence of new systematic representations of radiation was found from the post intervention annotated drawings. Most pupils (18) had drawn photons either with balls (14) or with arrows (4); the use of these representations was similar to those used in the simulation. Sixteen of them had also labelled the photons as infrared and sunlight photons in a very systematic manner. Nine drawings had descriptions of the sun’s radiation turning into infrared radiation “rays coming from the sun go down, heat radiation goes up”. Nine drawings showed clouds preventing heat or infrared radiation escaping from the atmosphere. Four drawings showed unnamed gases preventing heat or infrared radiation escaping from the atmosphere. The models pupils drew could be grouped into six categories according to their diversity. The five (out of 21) most diversified models included descriptions of photon types which were drawn and named; there were also descriptions of how radiation behaves when being absorbed and emitted from the Earth’s surface and the prevention of heat or infrared radiation escaping from the atmosphere. The next four (4/21) models were similar to the most diversified, except that they did not have the description of radiation being absorbed and emitted from the Earth’s surface. In the third group of models (4/21) the photon types were drawn and named, the behaviour of radiation was described as being absorbed and emitted from the Earth’s surface, but the prevention mechanism was not described. In the fourth group of models (3/21) the photon types were drawn and labelled. There were two models which presented only photons and three drawings in which these representations were not used. The classification of pupils´ descriptions of their drawings against the model categories of Shepardson, Choi, Niyogi & Charusombat (2011a) was used. The most diversified drawings related to the Shepardson model 4 (greenhouse gases ‘trap’ the Sun’s rays, heating the Earth; may or may not identify specific greenhouse gases) and model 5 (Sun rays are ‘bounced’ or reflected back and forth between the Earth’s surface and greenhouse gases, heating the Earth). The spread of the seven models in third and fourth categories in this study were similar to Shepardson et al.’s (2011a) model 4 (greenhouse gases, but no heating mechanism) and model 3 (simply gases in the atmosphere) respectively but with added elements (photons). Interestingly, of the two least diversified models in this study, one belonged to the most advanced model 5 (Sun rays are ‘bounced’ or reflected) of the categorisation of Shepardson et al. (2011a) and the other to model 3. Data of Study II After the intervention twelve pupils were interviewed. The interview comprised of asking the pupils open-ended questions and probing, whenever necessary, to obtain data seen as useful by the researcher. Pupils were chosen based on their willingness to 24 participate and with parents’ permission for them to be interviewed. The interviews (1015 minutes) were conducted in a quiet room at school four months after the intervention in order to find out the longer term consistency of the pupils models. The interview started with the interviewer presenting the pupil with his/her annotated drawing. The interview simulated the approach of Jakobsson et al. (2009) in the way that drawings served as an external tool to reason about the phenomena. Results of Study II The analysis of the interview is presented in the context of the annotated drawings showing pupils’ conceptions about the atmosphere. Before the intervention, pupils generally drew and wrote about such gases as carbon dioxide, oxygen and nitrogen whereas after the intervention, they included other gases, for example ozone, hydrogen, argon and methane. In terms of changing conceptions about carbon dioxide and oxygen: before the intervention, pupils had not drawn or written anything about carbon dioxide being taken out of the atmosphere. However, after the intervention pupils explained during the interview how the process of photosynthesis affects the amounts of oxygen and carbon dioxide. This may indicate that pupils’ conceptions about the atmosphere included some knowledge of the carbon cycle (see table 2). Before the intervention, pupils drew the atmosphere surrounding the Earth, but after the intervention many (9) pupils also drew and named different layers in the atmosphere. Before the intervention, no pupils mentioned anything about the elements of the Earth’s energy cycle, but after the intervention they drew and wrote that the amount of energy retained by the Earth is dependent on the Earth’s surface. When pupils were interviewed, one girl, Elsa, spoke about incoming solar radiation and outgoing terrestrial radiation emitted by the Earth. After the intervention, pupils mentioned the important role of the atmosphere. For example, they spoke about how the atmosphere protects us from harmful radiation and the ozone layer protects the Earth from the Sun's harmful ultraviolet rays. After the intervention, pupils wrote that clouds reflect visible radiation back to space; clouds also reflect part of the infrared radiation back to the surface. Interviews also showed that many pupils could still, after four months, explain how radiation interacts with the earth surface, clouds and greenhouse gases. Conclusions of Studies I and II Studies I and II indicate that the scaffolded sequence produced enrichment in pupils’ conceptions about the atmosphere. Based on the analysis of the annotated drawings in Study I, it was noticed that the pupils’ models were still inconsistent indicating that they were more like piecemeal evolving constructs. The analysis of the interview data in Study II also showed inconsistencies in the pupils’ models and there was uncertainty in their verbal descriptions about the issues represented in the drawings. Studies I and II discuss one group of 21 students which was an ordinary primary school class. The arrangement of another treatment group called a ‘loosely scaffolded inquiry group’ (not ensuring the amount of background knowledge) had only 10 25 participating pupils (not reported in these articles). The loosely scaffolded group’s teacher arranged the session of working with simulation without ensuring similarly students’ knowledge of atmosphere, greenhouse gases, carbon cycle, as it was in the case of the more scaffolded group reported here. The loosely scaffolded group, comprising of ten boys, did not name or produce descriptions of photon types, the behaviour of radiation was not described, nor the prevention of heat or infrared radiation escaping from the atmosphere, in their after simulation annotated drawings. The differences in the groups’ drawings provides tentative support for the necessity of scaffolding the simulation by ensuring the relevant background knowledge of the variables in the simulation. On the other hand, these studies (I and II) cannot conclusively differentiate the effects of the simulation and the sequence of the knowledge related to the variables in the simulation activity, and therefore more research should be conducted to find out about the interaction of the pupils with the technology and with other pupils. 5.2 TEACHER STUDENTS’ INQUIRY LEARNING AND TEACHING CONCEPTIONS (STUDY III) Study III Kukkonen, J., Kärkkäinen, S., Valtonen, T. & Keinonen, T. (2011). Blogging to Support Inquiry-based Learning and Reflection in Teacher Students Science Education. Problems of education in the 21st century, 31(31), 73-84. Study III aimed to clarify primary school teacher students’ (n=12) conceptions of inquiry learning and their experiences with the use of cross linked (with rss-feeds) blogs for scaffolding collaborative knowledge building in the context of a science course which included collaborative inquiry-based approaches. Design Principles Important to Learning Neither teachers’ nor teacher students’ readiness to enact inquiry teaching (Fishman et al., 2003; Williams et al., 2004; Kim & Tan, 2011; Windschitl, 2003; Windschitl, 2004) can be taken for granted. In a series of studies, Windschitl (2003,2004) has shown that teacher students’ conceptions of inquiry learning are too simplified, linear, unproblematic, and too loosely connected to theory and modelling (Windschtl et al., 2008). Methods Teacher education should be able to support teacher students´ development of skills, knowledge and habits required for conducting inquiry learning. Teacher students were asked to design and conduct a small inquiry and report the phases of the process in a blog along with their ideas about inquiry-based teaching and learning. The inquiry process was scaffolded mostly by the teacher but also by groups through shared meaning making and collaboration with the blogs and between groups by linking the blogs with rss-feeds. 26 Research data consists of the students’ written work in their blogs concerning inquirybased learning, the use of blogs, and the role of both inquiry-based learning and the use of blogs in primary school science education. A group of four students worked with one blog which was related to their topic and altogether there were three different project blogs. Before inquiry work, the teacher students were asked to write about their conceptions of inquiry learning with a few sentences and twelve postings were written in the three blogs. During the project, teacher students reported progress with their work in the group blogs. In addition, they were asked to write reflectively about the use of blogs in their inquiry learning project, the role of inquiry learning in their own learning and in their future teaching, and about their expectations for inquiry learning as future primary school teachers. In total they wrote about two to three pages of postings (text) per blog. The students were also asked to complete a questionnaire about technological pedagogical content knowledge (TPACK) (see Koehler & Mishra, 2009) in order to reveal insight into their views about the scaffolding needed for their own inquiry processes, as well as the role of scaffolding in inquiry learning in primary schools. Results Initially the results indicated that the twelve students mentioned only some of the main processes of inquiry learning: conducting experiments (4 mentions), working with a research question (3 mentions) and some kind of analysis (4 mentions). Less was written about setting a hypothesis (one mention), working with theory (2 mentions) or reporting the results (2 mentions). In the beginning of the process, the following were missing from their descriptions: clear definitions of data collection, modelling and making predictions, processes that set the inquiry into wider conceptual and theoretical frameworks. The most common category about inquiry learning and blogging apparent in teacher students’ reflections was about the instructional approach, knowledge about inquiry learning and blogging, and the premise of the approach (why does it matter what methods, materials or course design were used and what would I use?). The second most common category was reflections on instructional content, what advantages or limitations this kind of instructional approach had or could have in their own teaching. The third category was reflections of cross-disciplinary integration of biology, ICT (blogging) and inquiry learning. The fourth category was reflections about the important learning experiences, both potential and realised, that could be achieved in the teacher students’ own teaching. The fifth category was reflections on curricular premises of ICT integration and inquiry learning. Reflections on processes (the ‘how’ questions) were fewer. There was even less reflection on issues of pedagogical knowledge and least reflection on how to arrive at the goals and rationale. Conclusions The teacher students were able to formulate meaningful problems for inquiry in accordance with curricula demands. However, teacher students noticed the need for care and sufficient time in developing the research questions and suitable methods for the 27 study. These problems required teacher students to ponder on how they could find out what they wanted to know, leading them to varied information gathering methods and different modes of inquiry (field studies, surveys). These findings indicate the progress made by the teacher students in extending the overwhelmingly simplified assumptions about inquiry learning they had written before the inquiry learning activity. This might imply the gradual development of a more accurate view of inquiry learning and teaching as well as related professional knowledge and the teacher´s skills that Windchitl (2004) refers to. The teacher students could critically reflect on the instructional approach of using blogs to support the process of inquiry learning, focusing on the content issues (what design, material and methods were used and what would I use?) and also figuring out premises (why does it matter what methods, materials or course design were used) and how blogging supports the group working. They did not, however, reflect so much on how blogging supported the shared meaning making and how this effect could be achieved in future teaching. The combination of blogging, inquiry learning and field work was, in general, seen as good. The teacher students clearly stated many good arguments for this kind of approach. However, the questionnaire did raise serious doubts about their actual confidence in applying online teaching (e.g. blogs) in their own future teaching. The target group of this case study was small (12 teacher students) and unfortunately only 7 out of 12 teacher students responded to the TPACK-questionnaire, therefore the results of that part of this study remain only suggestive. The context was a voluntary course and therefore one could assume that the students were motivated and confident with their inquiry skills. A larger group of students may have increased the variety of inquiry skills yet the small volunteer group of teacher students was considered to be representative case of inquiry skilled teacher students. 5.3 TEACHER STUDENTS’ INQUIRY LEARNING EXPERIENCES OF SCAFFOLDING (STUDY IV) Study IV Kukkonen, J., Dillon, P., Kärkkäinen, S., Hartikainen-Ahia, A. & Keinonen, T. (2014). Preservice teachers’ experiences of scaffolded learning in science through a computer supported collaborative inquiry. Education and Information Technologies. Online first 22.4.2014 http://dx.doi.org/10.1007/s10639-014-9326-8 In study IV the dissection inquiry activity was designed for teacher students to learn about scaffolded collaborative inquiry and collaborative knowledge building, using cultural tools of the discipline and modelling during inquiry (in biology). Design Principles Important to Learning The design of the scaffolding for the inquiry was made using the principles of technology-enhanced scaffolding for computer supported collaborative inquiry learning as suggested in paragraph 3 of this dissertation (see Figure 2). 28 Interpersonal Scaffolds: Help Learners Learn from Each Other Peer support in groups Mediating Organisational tools and memory artifactssystems Model comparison Cuturalartifacts Instructional models diagrams explanations graphs simulations Cultural models and tools Scaffolds: Make Science Accessible Access to science through Wiki Learner's model Interpretation declarative, procedural, and inferential knowledge inference reasoning generating evaluation prior knowledge Model reinforcement Model revision Intrapersonal Individual Scaffolds: Make Thinking Visible Visualisation (problematizing with Public representations) statements Phenomena Personal external experiences experiments memory devices new information Scaffolds: Promote Reflection Model comparisons Cultural Figure 2: Technology-enhanced scaffolds for computer supported collaborative inquiry learning. The preconfigured Wiki was intended to be the support for the organisational memory of the group (Stahl, 2006, 210) and offer ‘scaffolding by structuring’ for using the cultural tools of the discipline of biology (cf. Tabak & Reiser, 2008) thus making the science accessible for the teacher students (cf. Kali & Linn, 2008). The modelling tasks assigned through the Wiki with images was designed to encourage the students “to make the thinking visible” (cf. Kali & Linn, 2008; Larusson & Alterman, 2009) to peers and to support the emergence of the joint social problem space for the small groups (Roschelle & Teasley, 1995; Sarmiento & Stahl, 2008a). The modelling with images as structured in the Wiki was designed to encourage making comparisons between models: teacher students’ own models, fellow students’ models and expert models (cf. Gadgil et al, 2012) and thus promote reflection. The models delivered with the Wiki were assumed to be tools for visualisation (cf. Reiser, 2004) that would provide conceptually meaningful representations and help students form deep models of underlying systems (fish organs, their functions and knowledge of adaptation to water life). White and Pea (2011) point out that during challenging collaborative tasks, the use of multiple representations can help learners to reappraise their roles in team activities and experiment with finding different meanings and uses for the representations. However, realising the problems students have in conducting inquiries (cf. Study III), scaffolding that utilises devices and strategies to 29 support and guide students (novices) in carrying out complex and difficult tasks, the Wiki was used to offer representational structures and materials to guide student´s interactions during collaboration (cf. Larusson & Alterman, 2009). Methods The research in Study IV was conducted with 114 teacher students (75% female, 25% male). The teacher students worked in 28 groups of four, investigating the adaptation of fish to water. The groups conducting the investigation were equipped with laptops with a wireless connection, digital cameras, one fish per group and dissection equipment and a preconfigured Wiki. Data on pre-service teachers’ experiences of the scaffolding offered by the computer supported collaborative inquiry activity were collected through an online questionnaire. The questionnaire was modified from the instrument used by Valtonen, Kukkonen, Dillon and Väisänen (2009) for investigating meaningful learning with high school students in online contexts. The questionnaire contained 40 items concerning issues such as learning about the science content (e.g. the prestructured Wiki helped me understand the topic as a whole), visualization (e.g. image modelling clarified my understanding of the structure-function relation), intentionality of learning (e.g. I was able to set my own learning goals), peer support in groups (e.g. working in groups motivated me to work harder), and active participation (e.g. technology encouraged me in knowledge acquisition). In order to investigate the relations between the experiences of scaffolding, the data were analysed through structural equation modelling (SEM). SEM offers the possibility to simultaneously carry out confirmatory factor analysis (CFA) and regression analysis to develop a model which allows estimation and statistical testing of the interrelationships among latent constructs. The SEM modelling allows also statistical estimation of the goodness of fit of the model with the data and the parameter estimates of the relations between the constructs (Reisinger & Mavondo 2007). Results The relative small number of participants (114) constrained the SEM analysis and the amount of indicator variables had to be carefully assigned/selected. For accurate parameter estimates, a sample size of 100 may be adequate when variances are low and each latent construct is represented with 3 or 4 measured variables (Fabrigar, Porter, & Norris, 2010). Taking this into consideration, and the results of preliminary principal component analysis from the same data (Vesisenaho, Valtonen, Kukkonen, HavuNuutinen, Hartikainen, & Kärkkäinen, 2010), a five latent constructs model with 14 indicator variables was developed with Amos 21 software (Figure 3). The model in figure 3 showed a reasonably good fit. The normal fit index (NFI = 0,864) was somewhat lower than the 0,95 which Hu and Bentler (1999) recommend as the lower limit yet the NFI has been shown to underestimate the fit with small samples (Byrne, 2001). According to Byrne (2001), for smaller sample sizes the comparative fit index CFI and Tucker-Lewis 30 Index TLI should be chosen. These goodness-of-fit indices were above the suggested lower limit of 0,95 (Hu & Bentler, 1999; Byrne, 2001) CFI =0,977 and TLI =0,971. Also the root mean square error of approximation RMSEA = 0,038 was below the recommended upper limit of 0,05 indicating a good fit (Byrne, 2001). The standardized root mean square residual SRMR (0,0664) was below the recommended 0,08 (Hu & Bentler, 1999). Figure 3: Relations of scaffolds to experienced benefits after dissection inquiry (standardized estimates). 31 Figure 3 shows relationships between the three constructs concerned with the experienced benefits of scaffolding and the constructs ‘active participation’ and ‘intentional participation’. The predicted relations: There will be experienced benefits in making the topic accessible by structuring and scaffolding the activity with a pre-structured Wiki and that this in turn will have a positive relation on 1) students’ experienced benefits of technology to support intentional participation and 2) their experienced benefits of technology to support active participation in collaborative inquiry (Reiser, 2004; Larusson & Alterman, 2009). The predicted relations from the construct ‘access to science through Wiki’ in the hypothesis could not be established with statistical significance. There were positive relationships between the construct ‘access to science through Wiki’ and the construct ‘visualization’ (β=0,44; p =0,003) and between ‘access to science through Wiki’ and ‘peer support’ (β=0,28; p=0,025). The predicted relationships: There will be experienced benefits of making visualizations with digital imaging in order to compare models and this in turn will have a positive relation on 1) students’ experienced benefits of technology to support intentional participation and 2) their experienced benefits of technology to support active participation in collaborative inquiry (Gadgil et al., 2012; White & Pea, 2011; Tabak, 2004) could be established with statistical significance. There was a positive relationship between ‘visualization’ and ‘intentional participation’ ( β=0,48; p=0,005) and between ‘visualization’ and ‘active participation’ (β=0,49; p=0,004). The predicted relationships: There will be experienced benefits of peer support and that this in turn will have a positive relation on 1) students’ experienced benefits of technology to support intentional participation and 2) their experienced benefits of technology to support active participation in collaborative inquiry (Scardamalia & Bereiter ,1994; Roschelle & Teasley, 1995; Scardamalia & Bereiter, 2006; Stahl, 2006; Sarmiento & Stahl, 2008a) could be established only partially. There was a positive relationship between ‘peer support’ and ‘intentional participation’ (β=0,39; p=0,021). Interestingly the strongest direct relationship was between ‘intentional participation’ and ‘active participation’ (β=0,58; p=0,001). For the hypothesized relationships in a) there were indirect, mediated positive relationships between the construct ‘access to science through Wiki’ and the construct ‘intentional participation’ (β=0,32; p= 0,002) and between the construct ‘access to science through Wiki’ and the construct ‘active participation’ (β=0,400; p=0,003). For the hypothesized relationships in c) there was in addition to the direct relationship also an indirect, mediated positive relationship between the construct ‘peer support’ and the 32 construct ‘active participation’ (β=0,228; p=0,008). Interestingly, the construct ‘visualization’ had the strongest total effect (direct + indirect) in the model to the construct ‘active participation’ (β=0,768; p=0,008). On the 1-5 scale measuring the extent to which the pre-service teachers agreed with given statements, the three items for ‘visualization’ gave the highest level of agreement with a mean of 3,99 (SD=0,615), indicating the importance of the pre-service students’ modelling with images and then comparing their own models with expert models in order to better understand the structure of the fish. The second most agreed scale was ‘peer support’, with a mean of 3,9 (SD=0.759) indicating the importance of peer support in motivating work and drawing attention to detail that would otherwise have gone unnoticed by some individuals. An almost similar agreement concerned ‘access to science through Wiki’ with a mean of 3,76 (SD=0,79) indicating the role of the Wiki in scaffolding to help the pre-service teachers focus on the central concepts and understand the phenomena as a whole (e.g. the structure-function relation and the adaptation of the fish to water). Conclusions The four scaffolding meta-principles suggested by Kali and Linn (2008), combined with Jonassen et al.’s (1999) principles for using technology for meaningful learning, seem to be appropriate for designing technology-enhanced learning environments for science inquiry e.g. as guidelines for the design of pre-structured Wikis and perhaps for other social media tools. Scaffolding with the pre-structured Wiki facilitated the pre-service teachers’ inquiry by making the science accessible (Kali & Linn, 2008): it was influential in the visualization and also in peer support in the groups, The path model (Figure 2) suggests that scaffolding by structuring the activity with the Wiki had meditational, indirect, effects through visualizations and peer support to intentional and active participation and thus there is reason to assume that the scaffolds were working during the inquiry activity as synergistic, enmeshed, intertwined, scaffolds (cf. Tabak, 2004). The data from Study IV consisted of the responses of one cohort (n=114) of teacher students. For exploratory factor analysis the size of the data is large enough (first phase of the analysis) but in the structural equation modelling the size of the data was somewhat limiting (e.g. in amount of included variables). Yet, the analysis yielded to a model with reasonably good fit and therefore the results of Study IV should be generalizable to primary school teacher students in the early phase of their teacher education. 33 6 Main Findings and General Discussion 6.1 THE EFFECTS OF SEQUENTIAL SCAFFOLDS FOR SIMULATIONBASED COLLABORATIVE INQUIRY LEARNING The intervention designed for studying the atmosphere and the greenhouse effect produced a substantial increase of pupils’ relevant descriptions of the factors involved in the explanation of this very demanding topic. Study I shows that there was an increase in knowledge; pupils produced increased amounts of descriptions of composition of the clouds and more gases were mentioned in the annotated drawings after the intervention. The most remarkable change was in the emergence of systematic descriptions of the role of radiation in the greenhouse effect. However, this increase in descriptions did not lead to consistent conceptual models, as shown in Study I. When compared to the models of Shepardson et al. (2011a) pupils’ models were more like continually evolving constructs (knowledge-as-elements). The interview data in Study II also further confirms that the pupils’ conceptions still were evolving, for example in the case of the carbon cycle and photosynthesis and their relation to the greenhouse effect. According to Hansen (2010), the greenhouse effect, even in a condensed and popularized version, is a very demanding topic for both teachers and [Norwegian] students in secondary education. One recurring finding in research about students’ conceptions about the greenhouse effect is the confusion between the greenhouse effect and ozone depletion. As Hansen (2010) points out one of the reasons for this is that educators believe that there is a lack of possibilities to offer experimental approaches in teaching about factors involved in the greenhouse effect. In Study I the scaffolded simulation-based collaborative inquiry showed that studying the greenhouse effect can lead to experimental approaches if the instruction includes a simulation of it. However, in the light of previous research about both using simulations and inquiry approaches in education, it was clear that the design of the instruction needs to be carefully scaffolded (orchestrated). From the theoretical point of view, in the design it was noticed that the simulation could be effective only if the pupils have relevant background information (Chang et al., 2008) and the simulation is integrated with other forms of instruction (Smetana & Bell, 2012). In practice this was noticed as a key challenge during the design of the simulationbased inquiry intervention. This became clear also from the discussions and the scaffold development work with the teacher student and his supervising teacher, as well as from the “curriculum guidelines”. It was noticed from the literature that the background knowledge to the greenhouse effect should be substantial in order for pupils to being able to benefit from interacting with the simulation in ways suggested by the literature (cf. 34 Giest & Lompscher, 2003). There are many complex interacting systems affecting the greenhouse effect (e.g. Shepardson et al. 2011b), that need to be considered as relevant key “variables” or abstract scientific principles. Varma and Linn (2012) suggest that for learning the greenhouse effect pupils should investigate the underlying processes through visual inquiry and exploration of interactions of the variables involved: solar energy, infrared energy, greenhouse gases, clouds and albedo. Shepardson et al. (2011b) suggest a ‘climate system framework’ which includes several key constructs among which are: climate and weather system, earth´s energy budget, solar radiation, atmosphere, oceans and land and vegetation. As in any design, in this study also there were constrains like the curriculum and, most importantly, time. The curriculum guidelines for primary schools set the learning goal: “knows air composition, knows chemical symbols for gases in atmosphere and understands the importance of atmosphere for life” which implicitly includes the “natural” greenhouse effect. After negotiation with the teacher student and supervising teacher the following were produced: worksheets (templates) with the main online sources to structure the pair activities in investigating the structure of the atmosphere, the water cycle, and the carbon cycle, and procedural scaffolding for simulation of the greenhouse effect with a translated version of greenhouse effect simulation from the University of Colorado PhET (http://phet.colorado.edu collection). The learning gains suggest that local practical implementation was successful, thus indicating the viability of the theoretical framework for the design of the scaffolds tied with the background knowledge and the curricula fit (cf. Chang et al., 2008; Smetana & Bell, 2012). The scaffolding guidelines suggested by Kali and Linn (2008) were endorsed in this study. They are: first guideline a), make science accessible e.g. by communicating the diversity of science inquiry and by connecting the learning to interests or ideas of the learner. In this study this was achieved by making the annotated drawings in the beginning of the sequence of lessons. However, the drawings were mainly used for data collection and for future designs it would be of interest to see if pupils arranging their own (pre)models, e.g. with blogs to continuously encourage comparison of models, would affect the learning (cf. Gadgil et al., 2012). For example pupils had some previous knowledge about carbon dioxide (CO2) as a greenhouse gas and pupils also included sources of it in their drawings. However, the role of vapour and its interaction with radiation was more accurately described in the post intervention drawings. The second guideline b), make thinking visible e.g. by templates to organize learners ideas or by animating, visualizing, articulating, or representing complex phenomena in multiple ways. In the greenhouse effect intervention this guideline was enacted with document templates to structure the pupils’ inquiry in topics, and the materials suggested to support the studying process included multiple representations of the phenomena (e.g. for carbon cycle http://www.smy.fi/koulut/carbon/index.html). Kali and Linn (2008) have suggested scaffolding guideline c), enable students to learn from each other e.g. by asking students to explain their ideas and to critique the ideas of others. In this case pupils worked as pairs during the investigations and each session ended with whole class discussions on the results of the pupils’ investigations. Again it would be interesting to investigate if the sharing of products e.g. by the use of linked blogs (as in Study III) 35 would enhance learning of the topics. These discussions also might be considered as a means to partially fulfil guideline d), promote self-directed learning e.g. by encouraging reflection, monitoring of progress and, and by (self-) explanations. Interestingly many of the topics were remembered also in the interview (see Study II), however, since the drawings were used during the interview one could argue that many of the topics discussed by the pupils during the interview are a form of tool dependent reasoning, which Schoultz et al. (2001) demonstrated also in their study. 6.2 TEACHER STUDENTS’ INQUIRY TEACHING AND LEARNING CONCEPTIONS In Study III teacher students were challenged to conduct an inquiry about winter ecology from a biological or a geographical perspective. During their inquiry the students were requested to reflect on the process in order to gain insights for their future teaching. The inquiry was scaffolded mostly by the instructor due to fact that the group was small (16 students at the beginning) and the students were allowed to freely choose the topic of their inquiry. However, the process and the reflection of it were also scaffolded with blogs for communicating both within the groups of four students and between the groups by connecting the blogs with rss-feeds to exchange information about group progress with the task. Unfortunately in the beginning the findings that teachers’ readiness is limited (cf. Fishman et al., 2003; Kim & Tan, 2011; William et al., 2004; Windschitl, 2003; Windschitl, 2004) was reinforced from the data of the reflections students made when starting their inquiry. However, during the process teacher students gained a clearer picture about the inquiry process as well as the possibilities of technology to support the process. The analysis revealed that the reflection teacher students produced in their blogs focused mostly on instructional and curricula knowledge; there was less about pedagogical matters. Teacher students reflected most on the instructional aspects of the inquiry learning and teaching. The reflections could be categorized as considerations about what design, material, and methods were used and could be used in teaching the winter ecology inquiry, and also the premises: why such an approach, combining the inquiry with continuous reporting in blogs, was technically enabling collaboration. Also the purposeful use of ICT in education was reflected from a curricula point of view. There was less reflection on ways to enact (how) the instructional, pedagogical and curricular issues were implemented and should be implemented in practice. This pattern of reflection, with less about how the instructional, pedagogical and curricula aims could be achieved, was similar to the results in Granberg’s (2010) study. In conclusions the benefits of the blogs as a shared workspace were somewhat realised. However, Study III raises the question: to what extent do teacher students come to realize, during their studying in a designed (course) setting, the benefits of scaffolding offered by technology, peers and the teacher? There is evidence that computer supported collaborative inquiry learning is demanding for teachers and that a productive, progressive inquiry culture emergences in the classroom only through teachers’ efforts (Hakkarainen, 2003b). Urhahne, Schanze, Bell, Mansfield and Holmes (2010) have studied the roles of teachers in four computer 36 supported collaborative inquiry learning environments in classrooms. The studies affirm the importance of the teacher in the context of inquiry learning. Williams et al. (2004, 190) note that: “Inquiry teaching is challenging for many elementary science teachers, because it requires them to integrate and utilize deep understanding of science content, pedagogy, and technology.” Teachers are considered to develop their knowledge and understanding through critical reflection. Usually these processes of reflection are triggered by an unexpected or puzzling event which cannot be handled with daily routines (Schön, 1987). 6.3 TEACHER STUDENTS’ EXPERIENCED BENEFITS OF SCAFFOLDING WITH TECHNOLOGY FOR COLLABORATION Study IV investigated how technology, especially a pre-structured Wiki, could be used as an effective addition to the collaboration between lecturer and teacher students in coconstructing synergistic scaffolds for inquiry learning in science education. Small groups were equipped with: a laptop with a wireless connection, digital cameras, and a prestructured Wiki to scaffold the activity by structuring and problematizing. They used digital imaging to make comparisons while conducting structure-function reasoning during an inquiry into the adaptation of fish to life in water. Even though there was no direct relation to self-reported learning benefits from the use of the Wiki as would be suggested by the findings of Larusson and Alterman (2009), the Wiki was indeed the place in which the teacher students produced and used the multiple representations during challenging, collaborative tasks to help their peers reappraise their roles in team activities (cf. White & Pea, 2011). Only two out of six hypothesized connections could be established with statistical significance during the structural equation modelling. The strongest positive relation was from comparisons (digital imaging and edited rapports in the Wiki) to intrapersonal learning (see Figure 3). The second direct relation was from peer support in the small groups to intentional learning. However, there was also an indirect relation from peer support in the small groups through intentional learning to intrapersonal learning. In addition to the hypothesized relations there was also a positive relation from intentional learning to intrapersonal learning. The scaffolding constructs correlated structuring, and problematizing correlated with comparisons; structuring, and problematizing correlated with peer support in the small groups, and peer support in the small groups correlated with structuring and problematizing. Thus this Study IV gave reason to assume that the designed use of technology was working as synergistic scaffolds (cf. Tabak, 2004) during the inquiry activity. In Study IV the use of the pre-structured Wiki and digital imaging served as critical parts of a joint social problem space by allowing the teacher students to make model comparisons collaboratively and to learn from each other. The model comparisons (with digital imaging) were found to be effective both in making science accessible with examples of expert and peer produced models, and in promoting self-directed learning 37 by encouraging reflection and self-explanations (cf. Kali & Linn, 2008, Figure 1) while comparing the different models in collaboration with peers. 6.4 CONCLUSIONS: SCAFFOLDING AND MODEL COMPARISONS These two sets of studies (pupils: Studies I and II; teacher students: Studies III and IV) have in common the following: the collaborative learning settings included, or were facilitated by, comparisons of models and use of computer-based artefacts, and the design focus was on using scaffolding in complex learning settings (cf. Figure 1). In the case of the greenhouse effect the main focus was to design and try out the scaffolding needed to support the teaching and learning of a very demanding topic. Based on the previous research literature, a sequence of activities (curricular design) was developed enabling young pupils (fifth graders) to carry out an inquiry sequence on this demanding and complex topic which consists of many systems e.g. the carbon cycle, the water cycle, the structure of the atmosphere and radiation. The process began with externalization through annotated drawings of the pupils’ own conceptions about the atmosphere and the greenhouse effect. Later the issues in the model were investigated with online sources and finally with a dynamic simulation. After the intervention the pupils again made annotated drawings which included carefully made representations of radiation (radiation with labels) which may indicate that pupils had appropriated some new tools to interpret and describe the phenomena. In this respect, the study demonstrates that the design of the scaffolding was supporting the learning. However, it is still a matter for further investigation if the consistency of the pupils’ conceptions of the greenhouse effect could be advanced with use of larger groups sharing their models and products. In Studies I and II, pupils worked in pairs during their investigations; the use of computers as organizational memories (cf. Figure 1) could be made available for example with similar use of Wiki or blogs as in Study IV. Also the research on the way pupils used the knowledge artefacts (working templates, online recourses, simulation) to construct joint activities could be video recorded and analyzed in order to investigate the ways in which pupils construct cognitive artefacts (cf. Stahl, 2006). In Study III the teacher students stated that they had benefitted from possibilities to construct and share and compare the artefacts used and produced during their inquiries. However, the teacher students clearly also noticed both the complexity of inquiry as learners and the scaffolding the teacher needs to offer. Study III was a small group case study and it would be interesting to make the experiment with a larger group of teacher students and develop further the processes of reflection, especially investigating the relation of reflecting into pedagogical issues to the “how” questions and to technological pedagogical content knowledge (TPACK). In Study III unfortunately only some of the teacher students responded to the questionnaire and therefore this question could not be addressed. In Study IV teacher students evaluated as highly beneficial the model comparisons and peer support in groups, but less highly the structuring and problematizing with Wikis. Also, the structural equation modelling showed positive relationships only between the first two scaffolds and the experienced benefits of the use of technology. Yet, 38 the structuring and problematizing with Wikis was aimed, in the design, to be the most important scaffolding (of course accompanying the teacher scaffolding). This may indicate that it is difficult for teacher students as learners to become cognizant with the factors that support demanding working (accomplishing tasks that would not be possible without scaffolding) and offer explanations of why inquiry teaching is so demanding for the teachers. In Study IV data from answers to the open questions in the questionnaire and the contents of the Wiki are still to be analyzed and reported. These data will inform further the accomplishments the teacher students made during the inquiry and also their reflections about the modelling as a teaching and learning tool. Preliminary analysis of the open questions (Hartikainen, Kärkkäinen, Kukkonen, & Valtonen, 2009) supports the results in the model (Figure 3) presented in Study IV, mostly recognizing the importance of the modelling. Studies I to IV show that the inquiry learning and teaching is demanding, but effective for learning complex topics. The studies also show that research offers knowledge and relevant scaffolding guidelines for teachers in instructional design (cf. Figure 1) and that well designed online recourses (e.g. freely available simulations) and social software can be used as critical parts of the learning environment. In Study IV, pre-service teachers clearly noticed the benefit of using the visualizations with digital imaging, but the use of Wikis was somewhat unnoticed by the participants. For teacher education this unfortunately means that pre-service teachers may recognize the benefits of using technology only from a significant, immediate, experience of it (the visualization in the Study IV) and thus under value the role of the technology itself. The deeper structure and benefits of the technology-enhanced inquiry learning environment (the Wiki in the Study IV) may remain unnoticed. 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Henki vastaan alkoholi: AA-toiminnan synty ja kehitys Lahdessa 1950-1995. 2014. 52. Jani Kaasinen. Perinnerakentaminen käsitteenä ja osana teknologiakasvatusta - opettajaopiskelijoiden käsitykset, käsitysten jäsentyneisyys ja muutos perinnerakentamisen opintojakson aikana. 2014. 53. Gerson Lameck Mgaya. Spiritual gifts: A sociorhetorical interpretation of 1 cor 12–14. 2014. 54. Pauli Kallio. Esimiehen muuttuvat identiteetit: Narratiivinen tutkimus keskijohdon identiteeteistä ja samastumisesta organisaatiomurroksessa. 2014. 55. Sirpa Tokola-Kemppi. Psykoanalyyttisen psykoterapian merkityksiä kirjailijahaastattelujen valossa. 2014. 56. Dhuana Affleck. How does Dialogical Self Theory appear in the light of Cognitive Analytic Therapy? Two approaches to the self. 2014. 57. Teemu Ratinen. Torjuttu Jumalan lahja. Yksilön kamppailu häpeällistä seksuaalisuutta vastaan. 2014. 58. Päivi Löfman. Tapaustutkimus itseohjautuvuudesta sairaanhoitajakoulutuksen eri vaiheissa. 2014. 59. Päivi Kujamäki. Yhteisenä tavoitteena opetuksen eheyttäminen. Osallistava toimintatutkimus luokanopettajille. 2014. 60. Henriikka Vartiainen. Principles for Design-Oriented Pedagogy for Learning from and with Museum Objects. 2014. 61. Päivi Kaakkunen. Lukudiplomin avulla lukemaan houkutteleminen yläkoulussa. Lukudiplomin kehittämistutkimus perusopetuksen vuosiluokilla 7–9. 2014. 122 Jari Kukkonen Scaffolding Inquiry in Science Education by Means of Computer Supported Collaborative Learning: Pupils’ and Teacher Students’ Experiences This dissertation investigates firstly computer supported collaborative scaffolded science inquiry learning. Inquiry learning gains seem to be related to substantial scaffolding . The first two studies (studies I and II) discuss scaffolding the computer supported collaborative inquiry learning in the context of fifth grade pupils understanding of greenhouse effect. Studies III and IV discuss pre-service teachers’ readiness for enacting computer supported collaborative inquiry learning. These two sets of studies (pupils and teacher students) share in their designs the collaborative learning settings using computer-based artefacts, and the design focus on scaffolding the complex learning settings. Publications of the University of Eastern Finland Dissertations in Education, Humanities, and Theology isbn: 978-952-61-1678-5 (print.) issnl: 1798-5625 (print.) issn: 1798-5625 (print.) isbn: 978-952-61-1679-2 (PDF) issn: 1798-5633 (PDF)
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