Guidance navigation: support algorithms for grasping learning situations in unrestricted CSCL

Authors:
Shoichi Nakamura;Kazuhiko Sato;Youzou Miyadera;Akio Koyama;Zixue Cheng
Affiliations:
The University of Aizu, Aizuwakamatsu, Fukushima, Japan;Muroran Institute of Technology, Muroram Hokkaido, Japan;Tokyo Gakugei University, Koganei, Tokyo, Japan;Yamagata University, Yonezawa, Yamagata, Japan;The University of Aizu, Aizuwakamatsu, Fukushima, Japan
Venue:
ACM SIGGROUP Bulletin
Year:
2002

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Abstract

Recently, learning activities adopting web documents as learning materials have become quite prosperous with the rapid developments of network environment. This change has brought about diversification of needs in learning. Therefore, development of novel learning styles, which can satisfy various needs based on each learner's interests, knowledge, and so on, is strongly demanded. In this research, a synthetic environment for supporting novel learning styles has been developed.This paper mainly describes algorithms for supporting instructors to grasp learning situation, which is quite important for effective guidance. Specifically, algorithms for constructing valuable support knowledge based on visualization of learning information are developed. Algorithms for creating guidance navigation, which manages each instructor's guidance styles and assists his selecting support knowledge, are also developed. Finally, the effectiveness of developed support algorithms has been shown by experiments.