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A Heuristic Method for Learning Path Sequencing for Intelligent Tutoring System (ITS) in E-learning

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  • Sami A. M. Al-Radaei

    (IT BHU, India)

  • R. B. Mishra

    (IT BHU, India)

Abstract

Course sequencing is one of the vital aspects in an Intelligent Tutoring System (ITS) for e-learning to generate the dynamic and individual learning path for each learner. Many researchers used different methods like Genetic Algorithm, Artificial Neural Network, and TF-IDF (Term Frequency- Inverse Document Frequency) in E-leaning systems to find the adaptive course sequencing by obtaining the relation between the courseware. In this paper, heuristic semantic values are assigned to the keywords in the courseware based on the importance of the keyword. These values are used to find the relationship between courseware based on the different semantic values in them. The dynamic learning path sequencing is then generated. A comparison is made in two other important methods of course sequencing using TF-IDF and Vector Space Model (VSM) respectively, the method produces more or less same sequencing path in comparison to the two other methods. This method has been implemented using Eclipse IDE for java programming, MySQL as database, and Tomcat as web server.

Suggested Citation

  • Sami A. M. Al-Radaei & R. B. Mishra, 2011. "A Heuristic Method for Learning Path Sequencing for Intelligent Tutoring System (ITS) in E-learning," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 7(4), pages 65-80, October.
    • Handle: RePEc:igg:jiit00:v:7:y:2011:i:4:p:65-80
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