Tina Seufert Self-Regulation and Cognitive Load in - Uni

Fach Psychologie
Prof. Dr. Markus Dresel
Prof. Dr. Ingo Kollar
Universität Augsburg
Universitätsstr. 10
86159 Augsburg
[email protected]
[email protected]
www.uni-augsburg.de/psy/
Vortragsankündigung im Psychologischen Forschungskolloquium im SoSe 2017
Tina Seufert
Abt. Lehr-Lernforschung, Institut für Psychologie und Pädagogik der Universität Ulm
Self-Regulation and Cognitive Load in Multimedia Learning
Donnerstag, 29. Juni 2017, 17:30 – 19:00 Uhr, Raum 2102
Abstract: Computer based learning environments require learners to self-regulate their learning process.
Learners set their goals based on individual conditions, they choose their strategies, they reflect on their progress and they may also try to optimize their affective state. In multimedia learning settings learners moreover
can decide on which representation to focus first or at all. The nature of this regulation process is highly dynamic as learners adapt their goals and strategies during the learning process. Until now, Cognitive Load Theory has particularly focused on how to design learning environments in order to optimize cognitive affordances
of a task. The view of an optimal learning situation derives from a static perspective on learning and does not
take into account that learners themselves might re-arrange the task and the goals. Hence, the cognitive requirements of a task will vary during learning and depends on learner´s decision. Cognitive load might even be
the reason to regulate and to change strategies in order to optimize the individual load level. Moreover the
regulation process itself can impose cognitive load. Metacognitive monitoring, choosing and conducting the
adequate strategy, coping with negative affect, trying to suppress distraction or any other regulatory activities
require cognitive resources. They must not be directly related to the task, but they are not necessarily extraneous. In my talk I will analyze the role of self-regulation for learning and its relation to cognitive load as a cause
as well as an effect.
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