IMPACT OF ASSESSMENT PROCEDURE ON PHYSICS ACHIEVEMENT AT COGNITIVE LEVEL OF KNOWLEDGE By ‘Femi A. Adeoye* and P. N. Okpala National Open University of Nigeria, Lagos, Nigeria. AUGUST, 2005 INTRODUCTION Research studies that sought to provide solutions to problem of student underachievement in physics had always focused on the improvement of physics achievement at the general cognitive level without much attention at the specific cognitive levels of knowledge, understanding and thinking respectively (Okpala and Onocha, 1988; Onwuegbu, 1998; Sotayo, 2002). The few studies at the specific cognitive levels tend to shed light on potent assessment and instructional methods for developing in physics students terminal behaviours that are associated with higher levels of cognitive outputs (Umoinyang, 2000, Iroegbu and Okpala, 1998). Desirous as this objective may be, the terminal behaviours seem to be the apex of a pyramid whose base consists of prerequisite capabilities that are rooted in the specific cognitive level of knowledge (knowledge of physics terms, laws, principles, concepts, relationships, operations, etc.). This study is thus aimed at examining the efficacy of systematic assessment procedure, as integral part of instructional method, in improving physics achievement at the cognitive level of knowledge. More so, when impact of assessment procedures on instruction and learning is still under researched (Obanya, 2005). This is in-spite of the views of science educators that the planned and organized nature of continuous assessment implementation should augur well for effective teaching of science subjects (Abe, 1999; Okpala and Onocha, 1995). Further more, against the background that physics learning is becoming increasingly analytical (Orji, 1998) and that gender stereotyping is still persisting in Nigerian learning environment (Obanya, 2004), the study also sought to evaluate the effects of cognitive style and gender on the physics achievement. More specifically, the study provided answers to the following questions: 1. Is physics achievement of students at the cognitive level of knowledge significantly affected by (a) assessment procedure (treatment), (b) cognitive style, and (c) gender? 2. Is physics achievement of students at the cognitive level of knowledge significantly affected by interaction of: (a) treatment and cognitive style; (b) treatment and gender; 2 (c) cognitive style and gender; (d) treatment, cognitive style and gender? METHOD Design This is a quasi-experimental study that made use of pretest-posttest nonrandomized control group design in which the treatment (at two levels) was crossed with cognitive style (at two levels) and gender. Sample The subjects consisted of 120 year II physics students (72 males and 48 females) of varied cognitive style orientations (66 analyticals and 54 non-analyticals) and age (mean age = 17.3 years; SD = 0.98). Stratified cluster sampling technique was used to select the students from four co-educational secondary schools that are distantly located from each other within Ibadan City, Nigeria. Instrumentation The study involved using the following valid and reliable instruments: Cognitive Style Test, CST (Test –retest reliability value= 0.92); Long Multiple Choice Test in Physics, LMTP (K-R20 reliability = 0.92) and Short Multiple Choice Tests in Physics, SMTP (K-R reliability ranged from 0.88-0.92) Nature of the Programme Procedure First, the physics teachers of the participating students (who are trained on how to use the treatment package and instrument) made the students to respond to two instruments: Cognitive Style Test (CST), and Long Multiple Choice Test in Physics (LMTP). After this, the teachers provided the treatment conditions to the two experimental schools and the two control schools). The treatment lasted for eight weeks. At appropriate points in the course of the treatment, six other tests were administered to the students in experimental and control groups at the same time. The last of the test (Physics Achievement Test) served as the posttest. 3 Experimental Group The peculiarity of treatment given to this group was that the group members were exposed to systematic (planned and orgnised) assessment procedure. Before the commencement of the 8 weeks teaching, the physics teacher discussed with the group on the nature of assessment to be adopted. The discussion involved making the students aware of the following: (i) topics on which assessment of the 8 weeks of teaching should be based; (ii) number of assessment scheduled for the period, (iii) topics to be covered by each assessment; (iv) date for each assessment; and (v) type of instrument (e.g. multiple-choice test, essay test, project, practical test, etc.) to be used during each assessment. In the course of the 8 weeks teaching, the physics teachers in the experimental group conducted the assessment of students in the group in line with the forementioned issues raised in the initial discussion. Control Group Students in this group were exposed to unsystematic assessment procedure. There were no discussion and planning whatsoever, involving teacher and students, on the nature of assessment procedure as was the case with the experimental group. Students in this group, thus were NOT aware of the (i) topics on which assessment should be based, (ii) number of assessment scheduled for the period, (iii) topics to be covered by each assessment, (iv) date for each assessments, and (v) type of instrument (e.g. multiple-choice test, essay test, project, practical test, etc.) to be used during each assessment. Data Analysis The posttest achievement scores (at the cognitive level of knowledge) were subjected to analysis of covariance using pretest scores (at the cognitive level of knowledge) as covariates. Graphical illustration was also employed as post-hoc measures to disentangle significant interaction effects. 4 RESULTS Table 1 shows data from the analysis of covariance of physics achievement scores (at the cognitive level of knowledge) by treatment (assessment procedure), students” cognitive style and gender. The table shows significant main effects of treatment (F(1,119) == 474.267: p < 0.05), cognitive style (F (1, 119) == 144.879; p < 0.05) and gender (F(1, 119) == 29.085; p < 0.05). It also shows significant two-way interaction effect of treatment and cognitive style (F(1, 119) == 56.358; p < 0.05) TABLE 1: Summary of 2x2x2 ANCOVA of Physics Achievement Test Scores of Subject According to Treatment, Cognitive Style and Gender at the Cognitive Level of Knowledge Source of Variation Covariates Pretest Sum square of DF 1407.105 1407.105 MAIN EFFECTS 8994.408 Treatment 5819.101 Cognitive Style 1777.613 Gender 356.868 2-WAY 790.037 INTERACTION 691.494 Treatment X Cog. 16.533 Style 42.912 Treatment X Gender 4.484 Cog. Style X Gender 3-WAY 4.484 INTERACTIONS 11196.034 Treatment X Cog. 1361.933 Style 12557.967 X Gender EXPLAINED RESIDUAL TOTAL Mean square F Sig. of F 1 1 3 I I I 3 1 1 1 1 1407.105 1407.105 2998.136 5819.101 1777.613 356.868 263.346 691.494 16.533 42.912 4.484 114.682 114.682 244.354 474.267 144.879 29.085 21.463 56.358 1.347 3.497 .365 .000 .000 .000 .000* .000* .000* .000 .000* .248 .064 .547 1 8 111 119 4.484 1399.504 12.270 105.529 .365 114.062 .547 .000 The Multiple Classification analysis, MCA (Table 2), reveals that students exposed to systematic assessment procedure performed significantly better than their counterparts in the control group. The MCA also shows that analyticals performed better than non-analyticals while girls performed better than boys. In all, the MCA 5 reveals a multiple R squared value of 0.828 and beta values of 0.69, 0.47 and 0.17 for treatment, cognitive style and gender respectively. TABLE 2: Multiple Classification Analysis (MCA) of Physic Achievement Test Score Subjects According to Treatment, Cognitive Stlye and Gender at the Cognitive level of Knowledge Grand Mean = 32.78 Variable + ‘N’ Unadjusted ‘Eta’ Adjusted for Beta Independent deviation Treatment 1. SAP 2. UAP 65 55 7.14 -8.44 0.76 6.50 -7.68 5.29 0.57 4.38 Cognitive Style 1. Analytic 66 2. NonAnalytic 54 Gender 1.Male 2. Female 72 48 -6.46 -0.89 1.33 0.11 Multiple R2 Multiple R SAP Stands for Systematic Assessment Procedure UAP Stands for Unsystematic Assessment Procedure 0.69 -5.35 .47 -1.45 2.18 .17 .828 .910 The significant two way interaction of treatment and cognitive style was disentangled. This is illustrated graphically in Figure 1. The Figure shows ordinal interaction and is such that students exposed to systematic assessment procedure achieved better than their counterparts in the control group irrespective of the students’ cognitive style. It also shows that the effect of treatment on physics achievement was more for non-analyticals than analyticals irrespective of the result that both groups of students seem to significantly improve their achievement when exposed to systematic assessment procedure. FIGURE 1 6 DISCUSSION The result that treatment had significant effect on students’ achievement in physics at the cognitive level of knowledge is explicable considering the views of Okpala and Onocha (1995) that the act of providing a student with advance information on the topics on which the assessment of an entire educational programme should be based and the content areas to be covered by specific assessment is likely to motivate the student’s learning and help clarify instructional objectives; thus providing him with a better knowledge of the learning outcomes to be achieved. Such a student, generally, is likely to tailor his study towards the specific content area to be covered by each assessment. In addition, the student is more likely to engage in meaningful in-depth study of the content area (Ezewu and Okoye, 1982). A student who has an advance information on the number of assessment to be undertaken during an educational programme and the date for each assessment is likely to be more organized and prepared towards improving his study habits. Providing students with such information could also help to demystify tests and examinations as well as reduce the associated threats (Yoloye, 1994). These, perhaps, would further explain the significant differences in the achievement of students in the experimental and control groups. The type of assessment instrument to be used during instructional process could influence students’ study habits and what they learn (Okpala and Onocha, 1985; Abe, 1995.). For instance, essay tests tend to encourage writing skills and study habits which emphasize global units and perception of relationship and trend (Ohuche and Akeju, 1977); while the use of multiple – choice tests tend to encourage study habits which direct attention to details (Okpala, Onocha and Oyedeji, 1993). As for the practical tests, they provide opportunity for students to learn various skills such as weighing, setting up of apparatus, handling and reading of instruments, plotting of graph etc while projects encourage students to think, thereby gaining much knowledge which they would otherwise have lost (Varghese, 1988). Again, the use of multiplechoice test (unlike essays, practicals and projects) give the teacher more opportunity to set a large number of questions covering all aspects of the content areas. 7 Generally, when students are aware of these attributes of different types of assessment instruments, they tend to modify their study habits to suit the type of instrument they expect during assessment. A student who has an advance information on the type of instrument to be used during each assessment, thus, has a better chance of organizing his study habits towards obtaining high scores in physics irrespective of the cognitive level under consideration. In this regard, it is explicable that students in the experimental group (who had advance information on the type of instrument to be used during each assessment) could achieve significantly better in the acquisition of knowledge of physics concepts, terms, principles, etc. The result that analytical subjects performed better than the non-analytical corroborates the view that a student’s performance in physics is a function of the extent to which the student is analytically inclined as was stated by Saracho and Dayton (1970), and Aghadiuno (1992). Indeed science educators (e.g. Ritchey and Lashier, 1981) had argued that since science learning requires analytical approach, it is to be expected that analytical individuals would achieve better than the nonanalytical ones. The significant cognitive style-group differences in achievement could also be attributed to the nature of the student groups. As indicated by Moss and Sigel (1963) analytical students exhibit the tendency to split stimulus into discrete entities and then differentiate or analyse them separately in contrast to the non-analytical students whose categorization and response are based on a whole. In addition, Crow and Piper (1986) noted that the analytical students are not easily distracted by extraneous things unlike the non-analytical ones. The superiority of female students over their male counterparts in the acquisition of knowledge of physics concepts, terms, etc. seem explicable considering the study result of Iroegbu and Okpala (1998) that females would achieve better than males when test items are based on physics contents/concepts that require learners of medium numerical ability while the reverse would be the case when the test is based on physics concepts/contents that require learners of high numerical ability. It thus seems that high achievement in physics tests at the higher cognitive levels (e.g. thinking) demands testees of high numerical ability most of whom are usually males. As suggested in a previous investigation (Okpala and Adeoye, 1999), male students 8 seem to be involved more than the females in critical thinking – an attribute considered necessary for solving physics problems as well as learning difficult and abstract physics contents/concepts. The significant two-way interaction, when viewed against the background of significant main effects of treatment, suggests that practicing physics teachers should use systematic assessment procedure (as integral part of physics teaching) for both analytical and non-analytical students. In addition, the result (when viewed against the background of significant main effect of students’ cognitive style) provides empirical evidence supporting the use of systematic assessment procedure by physics teachers as remedial treatment for physics students who are disadvantaged because of their non –analytical orientation. The result that no significant interaction effect of treatment and students gender on physics performance existed at the cognitive level of knowledge shows that the effect of using systematic assessment procedure in teaching on the physics achievement seems not to be gender-sensitive. This result, when viewed against the background of significant main effect of treatment, suggests that in situations where students are to be tested at the cognitive level of knowledge, practising physics teachers should freely use systematic assessment procedure while teaching male and female students since gender does not seem to inhibit the extent to which a student benefits from the procedure. The result that the interaction effect of students’ cognitive style and gender on achievement in physics at cognitive levels of knowledge is not significant shows that the influence of students’ cognitive style (which the study also identified to be significant) is not gender–sensitive. The result also indicates that the identified significant gender influence on the achievement does not depend on whether a student is analytical or non-analytical. It could thus be suggested that any intervention strategy targeted at remedying the negative impact of students’ cognitive style on physics performance should be extended to male and female students. In the same light, any of such strategies with respect to gender should cater for both analytical and non-analytical students. There is also indication (the non-significant three-way interaction, viewed against the background of significant main effect of treatment) that 9 practicing physics teachers should freely use systematic assessment procedure while teaching students of any cognitive style-gender combination (analytical boys, analytical girls, non-analytical boys, and non-analytical girls) for acquisition of knowledge of physics concepts, terms, principles, etc. In all, the independent variable (treatment) and the moderators (cognitive style and gender), when taken together, could be used to explain 82.8% of the variation in the physics achievement – a level of explanation that is considered significant (p < 0.01). The order of contribution of the variables to the explanation is treatment (69%), followed by cognitive style (47%) and the least is gender (17%). CONCLUSION The results reported in this study provide an empirical basis for sharing the view that: (i) Educational policies and practices should be made to ensure that systematic assessment procedure is used while teaching for acquisition of knowledge of physics terms, concepts, principles, laws, theories, relationships, operations, etc. (ii) Pre-service and in-service method courses aimed at facilitating teachers’ capacity to integrate systematic assessment procedure in teaching should be organized for physics teachers in Nigerian secondary schools. (iii) Practicing teachers should be encouraged to use systematic assessment procedure as a remedial treatment for non-analytical male and female students who are under-achievers in physics because of their cognitive style orientation. It is hoped that the implementation of these recommendations would assist in solving the problem of students’ underachievement in physics ( a topical educational issue) in Nigeria. 10 REFERENCES Abe C. V. (1999) “Educational Evaluation and Quality Control in Secondary Education in Nigeria” in Obemeata (Ed.) Evaluation in Africa. Stirling Horden Publishers (Nig.) Ltd.. pp. 112-122. Abe, C. V. (1995) A Causal Model of Some Socio-psychological Variables As Determinants of Achievement in secondary School Social Studies, Unpublished PhD Thesis, University of Ibadan, Ibadan. Aghadiuno M. C. K. (1992) A Path-analytic Study of Cognitive Style, Understanding of Science and Attitudinal Variables as Correlates of Achievement in Secondary School Chemistry. Unpublished PhD Thesis, University of Ibadan, Ibadan. Crow, L. W. and Piper M. K. (1986) “A study of Field Independent Based Mental Ability tests in Community college Science Classes”, Journal of Research in Science Teaching, 23 (9), 817 – 822. Ezewu E. E. and Okoye N. N. (1982) Principles and Practice of Continuous Assessment. Evans Brothers (Nig.) Publishers. Iroegbu T. O. and Okpala N. P. (1998) “Problem-based Learning Instructional Strategy and Numerical Ability as Determinants of Senior Secondary Achievement in Physics” Journal of Curriculum Studies, Vol. 2, pp. 54-65. J. STAN, 24 (1 & 2). Moss A and Sigel I. E. (1963) “Cognitive Style Implications for Learning and Instructions”. Psychology in School (8), 152 – 161. Obanya Pai (2004) Educating for the Knowledge Economy. Mosuro Publishers (Nig.) Ltd., 197pp. Obanya Pai (2005) Revitalizing Institutes of Education in Nigerian Universities. A Lead Paper Delivered at the Inaugural Meeting of Directors of Institutes of Education in Nigeria, Conference Centre, University of Ibadan, pp 21. Ohuche R. O. and Akeju S. A. (1979) Testing and Evaluation in Education, Lagos; African Educational Resources (AER). Okpala N. P. and Adeoye F. A. (1999) “Assessment Procedure, Student Cognitive Style and Gender as Determinants of Physics Performance at cognitive Level of Thinking” African Journal of Educational Research, vol. 5, No. 1, pp. 39-50. Okpala N. P and Onocha C.O. 1985) “The Effects of a Teacher Vacation Course (TVC) on Perceived Instructional Needs of Practising Physics Teachers”, 11 Okpala N. P. and Onocha C. O. (1988) “Student Factors as Correlates of Achievement in Physics” Physics Education (A Journal of the British Institute of Physics) Vol. 23, No. 6, pp 301 – 365. Okpala N. P. and Onocha C. O. (1995) “Teacher Assessment of a New Physics Curriculum for Nigerian Schools”, Olumo Journal of Education, Vol. 2, No. 2, pp. 28-35. Okpala, N. P. and Onocha C. O. (1995) Tools for Educational Research. StirlingHordens Publishers (Nig.) Ltd. 153pp. Okpala N. P.; Onocha C. O. and Oyedeji O.A. (1993) Measurement and Evaluation in Education, Stirling –Horden Publishers (Nig.) Ltd, 261pp. Onwuegbu O. C. (1998) Effects of Cognitive Style, Study Habits and Instructional Strategy on Students’ Learning Outcomes in Senior Secondary School Physics in Delta State. Unpublished Ph.D. Thesis, University of Ibadan, Nigeria. Orji A. B. C. (1998) Effects of Problem-solving and Concept-mapping Instructional Strategies on Students’ Learning Outcomes in Physics. Unpublished Ph.D. Thesis, University of Ibadan, Nigeria. pp. 247 – 253. Ritchey, P.A. and Lashier, W. S. (1981) “The Relationship Between cognitive Style, Intelligence and Instructional Mode of Achievement of College Science Students”, Journal of Research in Science Teaching, 18 (1), 41 -45. Saracho O. N. and Dayton C. M. (1970) “Relationship of teachers’ cognitive Styles to Pupils’ academic Gains”. Journal of Educational Psychology, 72 (40), pp. 544549. Sotayo G. (2002) Impact of Computer-and Text- Assisted Instruction on Secondary School Students’ Achievement in Physics. Unpublished Ph.D. Thesis, University of Ibadan, Nigeria. Umoinyang I. E. (2000) Student Socio-psychological Factors as Determinants of Achievement in Senior Secondary School Physics. Unpublished Ph.D. Thesis, University of Ibadan, Nigeria. Varghese, A (2002) “Project Work in Science” Association of Nigeria, 21 (1), 181-189. Journal of Science teachers’ Yoloye E.A. (1994) Continuous Assessment. A Simple Guide for Teachers, London. Cassell Ltd. 12
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