Personalized Study Guide: A Moodle Plug-in Generating Personal Learning Path for Students

Ted Krahn, Rita Kuo, Maiga Chang

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

2 Citations (Scopus)

Abstract

Applying learning analytics to generate personalized learning paths is getting popular in recent research. This study designs a Moodle plug-in called Personalized Study Guide that can generate personalized learning paths according to students’ learning styles. The plug-in supports two ways to determine students’ learning styles: one is using Inventory of Learning Styles (ILS), the well-established learning style questionnaire developed by Felder and Silverman, and the other is through the analysis of students’ past behaviour patterns on Moodle. The Personalized Study Guide analyzes the learning-style weightings for each learning resources/activities in the course. Using the calculated learning-style weightings, the Personalized Study Guide could determine which learning resources/activities are closer to students’ learning styles to generate the recommended learning path. The research team is conducting the experiment to evaluate the perceived usefulness of the Personal Study Guide in 2023. The details of the evaluation plan are also described in this study.

Original languageEnglish
Title of host publicationAugmented Intelligence and Intelligent Tutoring Systems - 19th International Conference, ITS 2023, Proceedings
EditorsClaude Frasson, Phivos Mylonas, Christos Troussas
Pages333-341
Number of pages9
DOIs
Publication statusPublished - 2023
Event19th International Conference on Augmented Intelligence and Intelligent Tutoring Systems, ITS 2023 - Corfu, Greece
Duration: 2 Jun. 20235 Jun. 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13891 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Augmented Intelligence and Intelligent Tutoring Systems, ITS 2023
Country/TerritoryGreece
CityCorfu
Period2/06/235/06/23

Keywords

  • Behaviour Analytics Block
  • Behaviour Pattern
  • Learning Style
  • Moodle Plug-in
  • Recommendation System

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