Download PDF by Slava Kalyuga: Cognitive Load Factors in Instructional Design for Advanced

By Slava Kalyuga

The empirical proof defined during this ebook exhibits that tutorial designs and tactics which are cognitively optimum for much less a professional inexperienced persons is probably not optimum for extra complicated newbies. educational designers or teachers have to evaluation properly the learner degrees of craftsmanship to layout or opt for optimum tutorial tactics and codecs. often, beginners must be assessed in actual time in the course of an educational consultation with a view to alter the layout of additional guide competently. conventional trying out methods will not be appropriate for this objective. the next chapters describe a cognitive load method of the advance of speedy schema-based exams of learner services. The proposed tools of cognitive analysis might be in keeping with modern wisdom of human cognitive structure and may be extra used as technique of optimizing cognitive load in learner-tailored computer-based studying environments.

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There have been two major approaches in using the results of cognitive research on knowledge structures in the design of instructional systems (Glaser, 1990). The first approach has been developed in the tradition of knowledge engineering in artificial intelligence and design of expert systems. It requires exposing the learner to the knowledge characteristics of well- developed expertise. The well-known example of a computer-based instructional system designed in accordance with this approach is the GUIDON project (Clancey & Letsinger, 1984).

However, Sweller & Cooper (1985) did not observed a significant difference in performance on transfer problems between students learning from worked-examples and conventional problem-solving practice. By simplifying the task and providing more examples to study, Cooper & Sweller (1987) were able to obtain better transfer for the worked examples group. Extensive practice is required to automate problem-solving operators before any improvement can be observed for different problems. Automation frees up cognitive capacity, allowing the trainee to make appropriate generalizations.

For example, the secondary task used by Chandler and Sweller (1996) consisted of recalling the previous letter seen on the screen of a separate computer while encoding the new letter appearing after a tone sounded. An important requirement is that a secondary task should affect the same working memory processing system (visual and/or auditory) as the primary task; otherwise, it may not be sensitive to changes in actual cognitive load. Dual-task techniques for measurement of cognitive load in multimedia learning were studied by Brünken, Plass, & Leutner (2003, 2004), Brünken, Steinbacher, Plass, & Leutner (2002), and Plass, Chun, Mayer, & Leutner (2003).

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