Concept-based and Fuzzy Adaptive E-learning ICIEI 2018.pdf (555.32 kB)
Concept-based and fuzzy adaptive e-learning
conference contribution
posted on 2023-06-09, 14:59 authored by Mesfer Al Duhayyim, Paul NewburyPaul NewburyThis study aims to test an effective adaptive e-learning system that uses a coloured concept map to show the learner's knowledge level for each concept in the topic. A fuzzy logic system is used to evaluate the learner's knowledge level for each concept in the domain and produce a ranked concept list of learning materials to address weaknesses in the learner’s understanding. This system will obtain information on a learner's understanding of concepts by an initial pre-test before the system is used for learning and a post-test after using the learning system. A fuzzy logic system is used to produce a weighted concept map during the learning process. The aim of this research is to prove that such a proposed novel adapted e-learning system will enhance a learner's performance and understanding. In addition, this research aims to increase participants' overall learning level and effectiveness by providing a coloured concept map of understanding followed by a ranked concepts list of learning materials.
History
Publication status
- Published
File Version
- Accepted version
Journal
Proceedings of the 2018 The 3rd International Conference on Information and Education InnovationsPublisher
Association for Computing MachineryExternal DOI
Page range
49-56Event name
ICIEI 2018 The 3rd International Conference on Information and Education InnovationsEvent location
London, United KingdomEvent type
conferenceEvent date
June 30 - July 02, 2018ISBN
9781450364409Department affiliated with
- Informatics Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2018-09-10First Open Access (FOA) Date
2018-09-11First Compliant Deposit (FCD) Date
2018-09-10Usage metrics
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