A Web-Based Adaptive and Intelligent Tutor by Expert Systems

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 177)

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 E-learning 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.

Keywords

Expert Tutor Intelligent Learning Adaptive Learning E-learning Web-based learning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Hossein Movafegh Ghadirli
    • 1
  • Maryam Rastgarpour
    • 2
  1. 1.Computer Engineering, Young Researchers Club, Islamshahr BranchIslamic Azad UniversityIslamshahrIran
  2. 2.Faculty of Computer Engineering, Department of Computer, Science and Research BranchIslamic Azad UniversitySavehIran

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