Concept-based and fuzzy adaptive e-learning

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

[img] PDF - Accepted Version
Download (568kB)
[img] PDF - Published Version
Restricted to SRO admin only

Download (992kB)

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:
Depositing User: Mesfer Abdullah M Al Duhayyim
Date Deposited: 10 Sep 2018 11:45
Last Modified: 11 Sep 2018 09:45
URI: http://sro.sussex.ac.uk/id/eprint/78622

View download statistics for this item

📧 Request an update