@inproceedings{4216780812404af5bac26c6ae7352968,
title = "iMoodle: An intelligent moodle based on learning analytics",
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{\textquoteright} 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{\textquoteright} 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.",
keywords = "At-risk students, Learning analytics, Moodle, Online learning intelligent tutoring systems",
author = "Ahmed Tlili and Fathi Essalmi and Mohamed Jemni and Maiga Chang and Kinshuk",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 14th International Conference on Intelligent Tutoring Systems, ITS 2018 ; Conference date: 11-06-2018 Through 15-06-2018",
year = "2018",
language = "English",
isbn = "9783319914633",
series = "Lecture Notes in Computer Science",
pages = "476--479",
editor = "Roger Nkambou and Roger Azevedo and Julita Vassileva",
booktitle = "Intelligent Tutoring Systems - 14th International Conference, ITS 2018, Proceedings",
}