@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},
	}