Appraise of Intelligent Tutoring Systems in E-Learning

Authors

  • Anagha A. Ralegaonkar  Research Scholar, Department of Electronics & Computer Sci. RTMNU, Nagpur, Maharashtra, India
  • Dr. S.B. Thorat  Director, SSBES’s, Institute of Technology & Management, Nanded-431602, Maharashtra, India
  • Dr. P.K. Butey  HOD & Associate Professor, Computer Science, Kamla Nehru Mahavidyalaya, Nagpur, Maharashtra, India

Keywords:

Intelligent Tutoring System, teaching-learning process, web based learning, e-learning

Abstract

An e-learning system is ever more achieving popularity in the academic community because of several benefits of learning anywhere and anytime. Most frequently it gives the impressions for web-based instruction so that learners can access online courses via internet. One possible reason for the lack of success is that just placing lecture notes on the internet does not teach. This situation can be improved through the use of training software such as Intelligent Tutoring Systems (ITS). An ITS (Intelligent Tutoring System) is a complex, integrated software system that applies the principles and methods of artificial intelligence (AI) to the problems and needs of teaching and learning. They allow searching the student’s knowledge level and possess learning strategies to enhance the students' knowledge. They are intended to support and improve the teaching and learning process in respect of the individualism of the learner. In the paper a review of intelligent tutoring systems (ITS) is given from the aspect of their application and usability in modern learning concepts.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-06-30

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Volume 3, Issue 3, May-June-2017

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Research Articles

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[1]
Anagha A. Ralegaonkar, Dr. S.B. Thorat, Dr. P.K. Butey, " Appraise of Intelligent Tutoring Systems in E-Learning , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 3, pp.660-664, May-June-2017.