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Authors: Christos Chrysoulas and Maria Fasli

Affiliation: University of Essex, United Kingdom

Keyword(s): E-learning, Adaptive Learning, User Profile, Learning Path, Machine Learning.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Computer-Supported Education ; Distance and e-Learning in a Global Context ; e-Learning ; e-Learning Platforms ; Enterprise Information Systems ; Information Technologies Supporting Learning ; Intelligent Tutoring Systems ; Simulation and Modeling ; Simulation Tools and Platforms ; Social Context and Learning Environments

Abstract: Research in adaptive learning is mainly focused on improving learners’ learning achievements based mainly on personalization information, such as learning style, cognitive style or learning achievement. In this paper, an innovative adaptive learning approach is proposed based upon two main sources of personalization information that is, learning behaviour and personal learning style. To determine the initial learning styles of the learner, an initial assigned test is employed in our approach. In order to more precisely reflect the learning behaviours of each learner, the interactions and learning results of each learner are thoroughly recorded and in depth analysed, based on advanced machine learning techniques, when adjusting the subject materials. Based on this rather innovative approach, an adaptive learning prototype system has been developed.

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Paper citation in several formats:
Chrysoulas, C. and Fasli, M. (2017). Building an Adaptive E-Learning System. In Proceedings of the 9th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-240-0; ISSN 2184-5026, SciTePress, pages 375-382. DOI: 10.5220/0006326103750382

@conference{csedu17,
author={Christos Chrysoulas. and Maria Fasli.},
title={Building an Adaptive E-Learning System},
booktitle={Proceedings of the 9th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2017},
pages={375-382},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006326103750382},
isbn={978-989-758-240-0},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - Building an Adaptive E-Learning System
SN - 978-989-758-240-0
IS - 2184-5026
AU - Chrysoulas, C.
AU - Fasli, M.
PY - 2017
SP - 375
EP - 382
DO - 10.5220/0006326103750382
PB - SciTePress