@inproceedings{c47a9ff3e0c241aeb1927f4e0eb72bcc,
title = "Concept-based and Fuzzy Adaptive E-learning",
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.",
keywords = "Adaptive E-learning System, Coloured concept map, Fuzzy logic, Ranked concept list",
author = "\{Al Duhayyim\}, Mesfer and Paul Newbury",
note = "Publisher Copyright: {\textcopyright} 2018 ACM.; 3rd International Conference on Information and Education Innovations, ICIEI 2018 ; Conference date: 30-06-2018 Through 02-07-2018",
year = "2018",
month = jun,
day = "30",
doi = "10.1145/3234825.3234832",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "49--56",
booktitle = "ICIEI 2018 - Proceedings of 2018 the 3rd International Conference on Information and Education Innovations",
address = "United States",
}
