Learning analytics for monitoring students participation online: Visualizing navigational patterns on learning management system

Kin Man POON, Siu Cheung KONG, Thomas S. H. YAU, Michael WONG, Man Ho Alpha LING

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

With the increasing use of blended learning approaches in classroom, various kinds of technologies are incorporated to provide digital teaching and learning resources to support students. These resources are often centralized in learning management systems (LMSs), which also store valuable learning data of students. The data could assist teachers in their pedagogical decision making but they are often not well utilized. This paper proposes the use of data mining and visualization techniques as learning analytics to provide a more comprehensive overview of students’ learning online based on log data from LMSs . The focus of this study is the discovery of frequent navigational patterns by sequential pattern mining techniques and the demonstration of how presentation of patterns through hierarchical clustering and sunburst visualization could facilitate the interpretation of patterns. The data in this paper were collected from a blended statistics course for undergraduate students. Copyright © 2017 Springer International Publishing AG.
Original languageEnglish
Title of host publicationBlended learning: New challenges and innovative practices: 10th International Conference, ICBL 2017, Hong Kong, China, June 27-29, 2017, Proceedings
EditorsSimon K.S. CHEUNG , Lam-for KWOK , Will W.K. MA , Lap-Kei LEE, Harrison YANG
Place of PublicationCham
PublisherSpringer
Pages166-176
ISBN (Electronic)9783319593609
ISBN (Print)9783319593593
DOIs
Publication statusPublished - 2017

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Citation

Poon, L. K. M., Kong, S. C., Yau, T. S. H., Wong, M., & Ling, M. H. (2017). Learning analytics for monitoring students participation online: Visualizing navigational patterns on learning management system. In S. K. S. Cheung, L.-F. Kwok, W. W. K. Ma, L.-K. Lee, & H. Yang, (Eds.), Blended learning: New challenges and innovative practices: 10th International Conference, ICBL 2017, Hong Kong, China, June 27-29, 2017, Proceedings (pp. 166-176). Cham: Springer.

Keywords

  • Learning analytics
  • Blended learning
  • Sequential pattern mining
  • Hierarchical clustering
  • Navigational pattern
  • LMS
  • Moodle