Adaptive Intelligent Tutoring System for learning Computer Theory

European Academic Research 4 (10) (2017)
  Copy   BIBTEX


In this paper, we present an intelligent tutoring system developed to help students in learning Computer Theory. The Intelligent tutoring system was built using ITSB authoring tool. The system helps students to learn finite automata, pushdown automata, Turing machines and examines the relationship between these automata and formal languages, deterministic and nondeterministic machines, regular expressions, context free grammars, undecidability, and complexity. During the process the intelligent tutoring system gives assistance and feedback of many types in an intelligent manner according to the behavior of the student. An evaluation of the intelligent tutoring system has revealed reasonably acceptable results in terms of its usability and learning abilities are concerned.



External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

ITSB: An Intelligent Tutoring System Authoring Tool.Samy S. Abu Naser - 2016 - Journal of Scientific and Engineering Research 3 (5):63-71.
An intelligent tutoring system for teaching advanced topics in information security.Ali O. Mahdi, Mohammed I. Alhabbash & Samy S. Abu Naser - 2016 - World Wide Journal of Multidisciplinary Research and Development 2 (12):1-9.
A Qualitative Study of LP-ITS: Linear Programming Intelligent Tutoring System.Samy S. Abu Naser - 2012 - International Journal of Computer Science and Information Technology 4 (1):209.
Learning Material Annotation for Flexible Tutoring System.D. Roy, S. Sarkar & S. Ghose - 2007 - Journal of Intelligent Systems 16 (4):293-306.


Added to PP

1,486 (#6,861)

6 months
136 (#22,897)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Samy S. Abu-Naser
North Dakota State University (PhD)