Al Duhayyim, Mesfer and Newbury, Paul (2018) Concept-based and fuzzy adaptive e-learning. ICIEI 2018 The 3rd International Conference on Information and Education Innovations, London, United Kingdom, June 30 - July 02, 2018. Published in: Proceedings of the 2018 The 3rd International Conference on Information and Education Innovations. 49-56. Association for Computing Machinery ISBN 9781450364409

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Abstract

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.

Item Type:	Conference Proceedings
Schools and Departments:	School of Engineering and Informatics > Informatics
Subjects:	T Technology > T Technology (General) > T0061 Technical education. Technical schools
Related URLs:	https://dl.acm.org/citation.cfm?doid=323...
Depositing User:	Mesfer Abdullah M Al Duhayyim
Date Deposited:	10 Sep 2018 11:45
Last Modified:	11 Sep 2018 09:45
URI:	http://srodev.sussex.ac.uk/id/eprint/78622

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