Learning activity sharing and individualized recommendation based on dynamical correlation discovery

Xiaokang Zhou*, Jian Chen, Qun Jin, Timothy K. Shih

*この研究の対応する著者

研究成果: Conference contribution

抄録

In this study, we concentrate on learning activity sharing and individualized recommendation based on dynamical user correlations, in order to support and facilitate the web-based learning process integrated with social streams. A user correlation-based learning activity model is built to demonstrate the relations among user, learning task and learning activity. Based on these, an integrated method is proposed to provide a target user with the possible learning activity as the next learning step, which is expected to enhance the learning efficiency. Finally, design of a Moodle-based prototype system is discussed.

本文言語English
ホスト出版物のタイトルAdvances in Web-Based Learning, ICWL 2012 - 11th International Conference, Proceedings
ページ200-206
ページ数7
DOI
出版ステータスPublished - 2012 9月 14
イベント11th International Conference on Advances in Web-Based Learning, ICWL 2012 - Sinaia, Romania
継続期間: 2012 9月 22012 9月 4

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7558 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference11th International Conference on Advances in Web-Based Learning, ICWL 2012
国/地域Romania
CitySinaia
Period12/9/212/9/4

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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