Modeling personalized learning styles in a web-based learning system

Chia Cheng Hsu, Kun Te Wang, Yueh-Min Huang

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

An innovative learning mechanism for identifying learners' learning styles to improve adaptive learning is proposed. Hypermedia-learning tools are highly interactive to learners in web-based environments that have become increasingly popular in the field of education. However, these learning tools are frequently inadequate for individualize learning because accessing adaptive learning content is required for learners to achieve objectives. For predicating adaptive learning, a neuron-fuzzy inference approach is used to model the diagnosis of learning styles. Then, according to the diagnosis results, a recommendation model is constructed to help learners obtain adaptive digital content. The proposed approach has the capability of tracking learning activities on-line to correspond with learning styles. The results show that the identified model successfully classified 102 learners into groups based on learning style. The implemented learning mechanism produced a clear learning guide for learning activities, which can help an advanced learning system retrieve a well-structure learning unit.

原文English
主出版物標題Transactions on Edutainment IV
頁面12-21
頁數10
DOIs
出版狀態Published - 2010 十一月 8
事件5th International Conference on E-learning and Games, Edutainment 2010 - Changchun, China
持續時間: 2010 八月 12010 八月 1

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
6250 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

Other5th International Conference on E-learning and Games, Edutainment 2010
國家China
城市Changchun
期間10-08-0110-08-01

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Theoretical Computer Science

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