Evaluating the personalised and adaptable learning provided by e-learning platforms

ID: 26842 Type: Full Paper
  1. Sophie Peter and Liz Bacon, The University of Greenwich, United Kingdom
  2. Mohammad Dastbaz, The University of East London, United Kingdom

Tuesday, October 27 10:00 AM-11:00 AM Location: Junior Ballroom D

Presider: Hosein Moeini, University of British Columbia, Canada

Abstract: Many common e-learning platforms (for example Moodle) offer good course and learner management tools but to what extent do they offer a “personalised” learning experience for the learner? This research evaluates current common e-learning platforms to assess how much personalization and adaptable learning they offer, i.e. to what extent do they adapt the learning content or course structure to the learner’s specific needs. This paper describes current e-learning platforms evaluation research and then proposes evaluation criteria and the research findings are then described in detail. An overview of the e-learning platform iLearn (Peter, Bacon and Dastbaz 2008) is given and it describes how it uses the VARK (Fleming 1995) learning style and semantic web technologies to enhance the platform’s personalisation and adaptability for the learner by providing the learner with a bespoke learning package based on their specific requirements.


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