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

Xiaokang Zhou; Qun Jin

doi:10.1007/978-3-319-09635-3_19

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

Xiaokang Zhou, Qun Jin

School of Human Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	Advances in Web-Based Learning, ICWL 2014 - 13th International Conference, Proceedings
Publisher	Springer Verlag
Pages	173-178
Number of pages	6
ISBN (Print)	9783319096346
DOIs	https://doi.org/10.1007/978-3-319-09635-3_19
Publication status	Published - 2014 Jan 1
Event	13th International Conference on Advances in Web-Based Learning, ICWL 2014 - Tallinn, Estonia Duration: 2014 Aug 14 → 2014 Aug 17

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8613 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Advances in Web-Based Learning, ICWL 2014
Country/Territory	Estonia
City	Tallinn
Period	14/8/14 → 14/8/17

Keywords

Adaptive Learning
Learning Analytics
Learning Pattern
Sharable Learning Process

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-09635-3_19

Cite this

Zhou, X., & Jin, Q. (2014). Analysis of sharable learning processes and action patterns for adaptive learning support. In 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); Vol. 8613 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-09635-3_19

Analysis of sharable learning processes and action patterns for adaptive learning support. / Zhou, Xiaokang; Jin, Qun.
Advances in Web-Based Learning, ICWL 2014 - 13th International Conference, Proceedings. Springer Verlag, 2014. p. 173-178 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8613 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhou, X & Jin, Q 2014, Analysis of sharable learning processes and action patterns for adaptive learning support. in Advances in Web-Based Learning, ICWL 2014 - 13th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8613 LNCS, Springer Verlag, pp. 173-178, 13th International Conference on Advances in Web-Based Learning, ICWL 2014, Tallinn, Estonia, 14/8/14. https://doi.org/10.1007/978-3-319-09635-3_19

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

Zhou, Xiaokang ; Jin, Qun. / Analysis of sharable learning processes and action patterns for adaptive learning support. Advances in Web-Based Learning, ICWL 2014 - 13th International Conference, Proceedings. Springer Verlag, 2014. pp. 173-178 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "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.",

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

Abstract

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Conference

Keywords

ASJC Scopus subject areas

Access to Document

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