Building an Adaptive E-Learning System

Chrysoulas, Christos; Fasli, Maria

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.

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: 9th International Conference on Computer Supported Education
• Start Date: Apr 21, 2017
• End Date: Apr 23, 2017
• Acceptance Date: Feb 28, 2017
• Publication Date: 2017
• Deposit Date: Feb 10, 2020
• Publicly Available Date: Feb 17, 2020
• Pages: 375-382
• Book Title: Proceedings of the 9th International Conference on Computer Supported Education - Volume 2: CSEDU
• ISBN: 9789897582394; 9789897582400
• DOI: https://doi.org/10.5220/0006326103750382
• Keywords: E-learning, Adaptive Learning, User Profile, Learning Path, Machine Learning
• Public URL: http://researchrepository.napier.ac.uk/Output/2548387