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Concept-based and Fuzzy Adaptive E-learning ICIEI 2018.pdf (555.32 kB)

Concept-based and fuzzy adaptive e-learning

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conference contribution
posted on 2023-06-09, 14:59 authored by Mesfer Al Duhayyim, Paul NewburyPaul Newbury
This 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 Innovations

Publisher

Association for Computing Machinery

Page range

49-56

Event name

ICIEI 2018 The 3rd International Conference on Information and Education Innovations

Event location

London, United Kingdom

Event type

conference

Event date

June 30 - July 02, 2018

ISBN

9781450364409

Department affiliated with

  • Informatics Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2018-09-10

First Open Access (FOA) Date

2018-09-11

First Compliant Deposit (FCD) Date

2018-09-10

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