Analysis of Sharable Learning Processes and Action Patterns for Adaptive Learning Support

  • Xiaokang Zhou
  • Qun Jin
Conference paper

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

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8613)
Cite this paper as:
Zhou X., Jin Q. (2014) Analysis of Sharable Learning Processes and Action Patterns for Adaptive Learning Support. In: Popescu E., Lau R.W.H., Pata K., Leung H., Laanpere M. (eds) Advances in Web-Based Learning – ICWL 2014. ICWL 2014. Lecture Notes in Computer Science, vol 8613. Springer, Cham

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.

Keywords

Learning Pattern Learning Analytics Sharable Learning Process Adaptive Learning 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Xiaokang Zhou
    • 1
  • Qun Jin
    • 1
  1. 1.Graduate School of Human SciencesWaseda UniversityJapan

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