Instructional designs for the development of transferable knowledge and skills: A cognitive load perspective

  • Authors:

  • Slava Kalyuga

  • Affiliations:

  • School of Education, University of New South Wales, Kensington Campus, Sydney, NSW 2052, Australia

  • Venue:
  • Computers in Human Behavior
  • Year:
  • 2009

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Abstract

This paper analyzes the main points and results of a set of the previous papers in this Special Issue from the point of view of developing characteristics of flexible-transferable-expertise. It focuses on cognitive load issues related to the acquisition of deep transferable knowledge structures and developing metacognitive and self-regulation skills. The contributions to this Special Issue demonstrate that appropriate instructional support and optimal levels of control over the learning processes, enhanced by self-explanation and self-visualization techniques, may enhance learners' abilities to transfer their knowledge and skills. Better understanding of the role of germane cognitive load, as well as our abilities to measure different types of load and high-level cognitive processes are essential for further progress in this area.