Analysis of sharable learning processes and action patterns for adaptive learning support

Xiaokang Zhou, Qun Jin

研究成果: Conference contribution

抜粋

In this study, we focus on the deep analysis of the learning behavior patterns in the task-oriented learning process, which aims to extract and describe the sharable learning processes for adaptive learning support. The LA-Patterns are extracted to represent an individual's learning behavior patterns. Three categories, named Regular Patterns, Successive Patterns, and Frequent Patterns, are classified to describe users' learning patterns with different features, which can be utilized to recommend users with the adaptive learning process as the learning guidance. The experiment and analysis results in a learning management system are discussed finally.

元の言語English
ホスト出版物のタイトルAdvances in Web-Based Learning, ICWL 2014 - 13th International Conference, Proceedings
出版者Springer Verlag
ページ173-178
ページ数6
ISBN(印刷物)9783319096346
DOI
出版物ステータスPublished - 2014 1 1
イベント13th International Conference on Advances in Web-Based Learning, ICWL 2014 - Tallinn, Estonia
継続期間: 2014 8 142014 8 17

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)
8613 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Conference

Conference13th International Conference on Advances in Web-Based Learning, ICWL 2014
Estonia
Tallinn
期間14/8/1414/8/17

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • これを引用

    Zhou, X., & Jin, Q. (2014). Analysis of sharable learning processes and action patterns for adaptive learning support. : Advances in Web-Based Learning, ICWL 2014 - 13th International Conference, Proceedings (pp. 173-178). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 8613 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-09635-3_19