Building an Adaptive E-Learning System

Christos Chrysoulas, Maria Fasli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Research in adaptive learning is mainly focused on improving learners' learning achievements based mainly on personalization information, such as learning style, cognitive 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 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 as been developed.
Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Computer Supported Education
PublisherSciTePress
Pages375-382
Number of pages8
ISBN (Print)9789897582400
DOIs
Publication statusPublished - 21 Apr 2017
Event9th International Conference on Computer Supported Education 2017 - Porto, Portugal
Duration: 21 Apr 201723 Apr 2017
Conference number: 9
https://csedu.scitevents.org/

Conference

Conference9th International Conference on Computer Supported Education 2017
Abbreviated titleCSEDU 2017
Country/TerritoryPortugal
CityPorto
Period21/04/1723/04/17
Internet address

Keywords

  • E-learning
  • adaptive learning
  • user profile
  • learning path
  • machine learning

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