Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/10009425,
  title    = {Adaptive E-Learning System Using Fuzzy Logic and Concept Map},
  author    = {Mesfer Al Duhayyim and  Paul Newbury},
  country   = {United Kingdom},
  institution={University of Sussex},
  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 Social, Behavioral, Educational, Economic, Business and Industrial Engineering},  volume    = {12},
  number    = {8},
  year      = {2018},
  pages     = {1104 - 1111},
  ee        = {http://waset.org/publications/10009425},
  url       = {http://waset.org/Publications?p=140},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 140, 2018},
}