Cognitive load and knowledge sharing in Learning Networks

Ya P. Hsiao, Francis Brouns, Liesbeth Kester, Peter Sloep

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Learning Networks (LNs) are online social networks designed to support nonformal learning; they are therefore particularly suitable for self-directed learners. In LNs, learners need to construct knowledge through knowledge sharing with other participants. However, without support, learners have to organize knowledge sharing themselves and this could induce extraneous cognitive load. When working on complex learning tasks, this organizing process could have a detrimental effect on knowledge construction. To optimize cognitive load, we propose using a peer support system that applies the mechanisms of peer tutoring to support knowledge sharing. Its mechanisms reduce, we argue, the extraneous load imposed by having to organize knowledge sharing as well as induce germane load by directing the freed-up cognitive capacity to processes that contribute to knowledge construction.

Original languageEnglish
Pages (from-to)89-100
Number of pages12
JournalInteractive Learning Environments
Volume21
Issue number1
DOIs
Publication statusPublished - Feb 2013
Externally publishedYes

Keywords

  • cognitive load
  • knowledge sharing
  • Learning Networks
  • peer support
  • peer tutoring

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