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AeLF: Mixing Adaptive Learning System with Learning Management System

by Aimad Qazdar, Chihab Cherkaoui, Brahim Er-raha, Driss Mammass
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Number 15
Year of Publication: 2015
Authors: Aimad Qazdar, Chihab Cherkaoui, Brahim Er-raha, Driss Mammass
10.5120/21140-4171

Aimad Qazdar, Chihab Cherkaoui, Brahim Er-raha, Driss Mammass . AeLF: Mixing Adaptive Learning System with Learning Management System. International Journal of Computer Applications. 119, 15 ( June 2015), 1-8. DOI=10.5120/21140-4171

@article{ 10.5120/21140-4171,
author = { Aimad Qazdar, Chihab Cherkaoui, Brahim Er-raha, Driss Mammass },
title = { AeLF: Mixing Adaptive Learning System with Learning Management System },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 15 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number15/21140-4171/ },
doi = { 10.5120/21140-4171 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:04:05.808958+05:30
%A Aimad Qazdar
%A Chihab Cherkaoui
%A Brahim Er-raha
%A Driss Mammass
%T AeLF: Mixing Adaptive Learning System with Learning Management System
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 15
%P 1-8
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Several educational institutes use e-Learning platforms especially Learning Management System (LMSs) to manage the learning process. Adaptive Learning System (ALSs) supports the learning process using adaptive guidance and possibly personnalized content. The AeLF offers a new framework that brings the two systems together. This is done by a single sign-on, a User Model, an Experience Learner Tracker, a Domain Model and an Adaptive Engine. Authors can create structured course material and define the pedagogical rules through a graphical interface. The experiences learner tracker can detect all the interaction learner/system and a supple adaptation engine offers almost any type of adaptation a learner might want. This article presents the architecture of the AeLF environment, and describes the all its components.

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Index Terms

Computer Science
Information Sciences

Keywords

Adaptation adaptive learning systems adaptive learning management system learning content adaptation engine

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