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Concept-based and fuzzy adaptive e-learning: pilot study
The purpose of this study is to design an efficient adaptive e-learning system that uses a fuzzy logic technique to produce two adaptive mechanisms. A coloured concept map to show the learner's knowledge level for each concept in the topic and 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. The aim of this research is to show that such a suggested novel adapted elearning system will improve a learner's knowledge, understanding, motivation and engagement. 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. To evaluate the effectiveness of the proposed system a pilot study has been conducted with the Multimedia Design and Applications course at the University of Sussex in Brighton, UK. According to the study results, the proposed system provided positive results for the students who used both adaptive group and non-adaptive control group and validated the system and methodology used.
History
Publication status
- Published
File Version
- Accepted version
Journal
2019 International Conference on Computer and Information Sciences (2019 ICCIS)Publisher
Institute of Electrical and Electronics EngineersEvent name
ICCIS 2019 : International Conference on Computer and Information SciencesEvent location
Aljouf, Kingdom of Saudi ArabiaEvent type
conferenceEvent date
3-4 April 2019Department affiliated with
- Informatics Publications
Research groups affiliated with
- Creative Technology Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2019-04-03First Open Access (FOA) Date
2019-04-03First Compliant Deposit (FCD) Date
2019-04-02Usage metrics
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