@article{(Open Science Index):https://publications.waset.org/pdf/10009425, title = {Adaptive E-Learning System Using Fuzzy Logic and Concept Map}, author = {Mesfer Al Duhayyim and Paul Newbury}, country = {}, institution = {}, abstract = {This paper proposes an effective adaptive e-learning system that uses a coloured concept map to show the learner's knowledge level for each concept in the chosen subject area. 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 obtains information on the 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 learner's performance and understanding. In addition, this research aims to increase participants' overall understanding of their learning level by providing a coloured concept map of understanding followed by a ranked concepts list of learning materials. }, journal = {International Journal of Educational and Pedagogical Sciences}, volume = {12}, number = {8}, year = {2018}, pages = {1105 - 1112}, ee = {https://publications.waset.org/pdf/10009425}, url = {https://publications.waset.org/vol/140}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 140, 2018}, }