Cognitive load and knowledge sharing in Learning Networks

被引:8
|
作者
Hsiao, Ya P. [1 ]
Brouns, Francis [1 ]
Kester, Liesbeth [1 ]
Sloep, Peter [1 ]
机构
[1] Open Univ Netherlands, Ctr Learning Sci & Technol CELSTEC, Heerlen, Netherlands
关键词
Learning Networks; cognitive load; knowledge sharing; peer support; peer tutoring; INSTRUCTIONAL-DESIGN; EDUCATIONAL-RESEARCH; EFFICIENCY; STUDENT; TASKS; MODEL; WIKI; ARCHITECTURE; MATCHMAKING; ACHIEVEMENT;
D O I
10.1080/10494820.2010.548068
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
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.
引用
收藏
页码:89 / 100
页数:12
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