Behaviour Analytics - A Moodle Plug-in to Visualize Students’ Learning Patterns

Rita Kuo, Ted Krahn, Maiga Chang

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

9 Citations (Scopus)


Learning Management System (LMS) is widely used in higher education. How to track students’ learning behaviours in a LMS like Moodle becomes an important issue. This research designs a Moodle plug-in that not only can visualize students’ learning behaviour patterns from the log but also can cluster students into different groups based on their behaviour patterns. Teachers can easily see how students went through one learning object to another; review the common learning pattern that students in the same group have; and, annotate the learning pattern a group or an individual student has based on his or her observations on the pattern’s details. The annotations made by the teacher can be a support for researchers to further analyse and design mechanism and algorithm to automatic recognize and identify a student’s characteristics and conditions like learning styles, preferences, at-risk, and potential required assistances via the features extracted from a learning pattern and notify the teacher or administrative staff automatically.

Original languageEnglish
Title of host publicationIntelligent Tutoring Systems - 17th International Conference, ITS 2021, Proceedings
EditorsAlexandra I. Cristea, Christos Troussas
Number of pages7
Publication statusPublished - 2021
Event17th International Conference on Intelligent Tutoring Systems, ITS 2021 - Virtual, Online
Duration: 7 Jun. 202111 Jun. 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12677 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th International Conference on Intelligent Tutoring Systems, ITS 2021
CityVirtual, Online


  • Behaviour analysis
  • Clustering
  • Graph theory
  • Learning Management System
  • Learning path
  • Pattern
  • Visualization


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