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

Xiaokang Zhou, Qun Jin

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationAdvances in Web-Based Learning, ICWL 2014 - 13th International Conference, Proceedings
PublisherSpringer Verlag
Pages173-178
Number of pages6
ISBN (Print)9783319096346
DOIs
Publication statusPublished - 2014 Jan 1
Event13th International Conference on Advances in Web-Based Learning, ICWL 2014 - Tallinn, Estonia
Duration: 2014 Aug 142014 Aug 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8613 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Advances in Web-Based Learning, ICWL 2014
CountryEstonia
CityTallinn
Period14/8/1414/8/17

Keywords

  • Adaptive Learning
  • Learning Analytics
  • Learning Pattern
  • Sharable Learning Process

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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