Title
APLe: Agents for Personalized Learning in Distance Learning.
Abstract
This work presents an intelligent tutoring system that supports personalized learning especially in a distance learning setting. The proposed architecture is based on multi-agents which facilitate the communication between the different components and on ontologies that provide a sound and complete representation of the knowledge domain. The operational procedure of the multi-agent system is described and the overall functions of its fundamental components are illustrated. The prototype, called APLe, provides dynamic learning path sequencing in a bottom up fashion using direct information about the student preferences or learning styles and relative information about the student learning process as part of a group. The preliminary evaluation of our system indicated positive feedback by the users in terms of the usability of the system, completeness of the educational content and ability of the system to adapt to the individual's educational needs and preferences and informed for further developments required.
Year
DOI
Venue
2015
10.1007/978-3-319-29585-5_3
Communications in Computer and Information Science
Keywords
Field
DocType
Agent-based systems,Intelligent tutoring systems,Ontologies,Personalized learning,Distance learning,Dynamic courseware generation
Ontology (information science),Learning styles,Intelligent tutoring system,Computer science,Usability,Top-down and bottom-up design,Distance education,Personalized learning,Multimedia,Completeness (statistics)
Conference
Volume
ISSN
Citations 
583
1865-0929
1
PageRank 
References 
Authors
0.36
0
4
Name
Order
Citations
PageRank
Stamatis Panagiotis110.36
Ioannis Panagiotopoulos2122.79
Christos Goumopoulos310418.60
Achilles Kameas435550.94