A Web-based Adaptive and Intelligent Tutor by
Expert Systems
Abstract. Todays, Intelligent and web-based E-learning is one of regarded
topics. So researchers are trying to optimize and expand its application in the field
of education. The aim of this paper is developing of E-learning software which is
customizable, dynamic, intelligent and adaptive with Pedagogy view for learners
in intelligent schools. This system is an integration of adaptive web-based Elearning
with expert systems as well. Learning process in this system is as follows.
First intelligent tutor determines learning style and characteristics of learner by a
questionnaire and then makes his model. After that the expert system simulator
plans a pre-test and then calculates his score. If the learner gets the required score,
the concept will be trained. Finally the learner will be evaluated by a post-test. The
proposed system can improves the education efficiency highly as well as
decreases the costs and problems of an expert tutor. As a result, every time and
everywhere (ETEW) learning would be provided via web in this system.
Moreover the learners can enjoy a cheap remote learning even at home in a virtual
simulated physical class. So they can learn thousands courses very simple and
fast.
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