iMoodle: An intelligent moodle based on learning analytics

Ahmed Tlili, Fathi Essalmi, Mohamed Jemni, Maiga Chang, Kinshuk

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

6 Citations (Scopus)

Abstract

Online learning is gaining an increasing attention by researchers and educators, since it makes students learn without being limited in time or space like traditional classrooms. However, this type of learning faces several challenges include the difficulties for teachers to control the learning process and keep track of their students’ learning progress. Therefore, this paper presents an ongoing project which is an intelligent Moodle (iMoodle) that uses learning analytics to provide dashboard for teachers to control the learning process and make decisions. It also aims to increase the students’ success rate with an early warning system for identifying at-risk students as well as providing real time interventions of supportive learning content as notifications.

Original languageEnglish
Title of host publicationIntelligent Tutoring Systems - 14th International Conference, ITS 2018, Proceedings
EditorsJulita Vassileva, Roger Nkambou, Roger Azevedo
Pages476-479
Number of pages4
Publication statusPublished - 2018
Event14th International Conference on Intelligent Tutoring Systems, ITS 2018 - Montreal, Canada
Duration: 11 Jun. 201815 Jun. 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10858 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Intelligent Tutoring Systems, ITS 2018
Country/TerritoryCanada
CityMontreal
Period11/06/1815/06/18

Keywords

  • At-risk students
  • Learning analytics
  • Moodle
  • Online learning intelligent tutoring systems

Fingerprint

Dive into the research topics of 'iMoodle: An intelligent moodle based on learning analytics'. Together they form a unique fingerprint.

Cite this