OWLearn: an open source e-learning platform supporting adaptivity and personalization

Authors:
Dimitrios Tsolis;Paraskevi Christia;Soultana Kampana;Eleftherios Polychronopoulos;Aglaia Liopa;Athanasios Tsakalidis
Affiliations:
Computer Engineering and Informatics Department, University of Patras, Patras, Greece;Computer Engineering and Informatics Department, University of Patras, Patras, Greece;Computer Engineering and Informatics Department, University of Patras, Patras, Greece;Computer Engineering and Informatics Department, University of Patras, Patras, Greece;Department of Agricultural Machinery and Irrigation, Technological Educational Institute of Messolonghi, Messolonghi, Greece;Computer Engineering and Informatics Department, University of Patras, Patras, Greece
Venue:
Intelligent Decision Technologies - Special issue on Multimedia/Multimodal Human-Computer Interaction in Knowledge-based Environments
Year:
2012

Citing 4
Cited 1

Web-based education for all: a tool for development adaptive courseware

WWW7 Proceedings of the seventh international conference on World Wide Web 7
From adaptive hypermedia to the adaptive web

Communications of the ACM - The Adaptive Web
Developing Adaptive Internet Based Courses with the Authoring System NetCoach

Revised Papers from the nternational Workshops OHS-7, SC-3, and AH-3 on Hypermedia: Openness, Structural Awareness, and Adaptivity
An Evaluation of Open Source E-Learning Platforms Stressing Adaptation Issues

ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies

Design and evaluation of an adaptive and intelligent tutoring system by expert system

Intelligent Decision Technologies

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper, based on an analysis of current research and relevant implementations proposes the implementation of OWLearn an adaptive and personalized e-Learning system developed with open source technologies. Adaptation and personalization received very little coverage in the most commonly used e-learning platforms. An e-learning course in these systems is usually designed without matching students' and teachers' needs and objectives as closely as possible, and without adapting during course progression. The proposed open source e-learning system offers profiling and personalization services for the teacher and student while at the same time adapts the educational content and tools in the basis of the acquired user's profile. Finally, the proposed system offers collaborative learning using social networking services and mobile learning tools for achieving ubiquitous life long learning.