• DocumentCode
    2146880
  • Title

    Intellectual ability planning for intelligent tutoring system in computer science engineering education abstract

  • Author

    Mishra, Megha ; Mishra, V.K. ; Sharma, H.R.

  • Author_Institution
    SOA, Bhubaneswar, India
  • fYear
    2012
  • fDate
    30-31 March 2012
  • Firstpage
    26
  • Lastpage
    30
  • Abstract
    The development of a hierarchical knowledge map to be used with an intelligent questioning system is described in detail in this paper. The purpose of the intelligent questioning system is to improve the educational process in engineering courses by allowing students to learn more in less time, to understand more deeply, and to enjoy their learning experience. Key elements of this system are a question model and an adaptive question management system that uses a hierarchical knowledge map to direct the learning process based on the student´s degree of understanding of individual or grouped concepts. Although there are several online computer based questioning systems, they typically have no built-in help, no guidance if questions are answered incorrectly, no method for selecting questions based on the student´s needs, and no comprehensive monitoring of a student´s progress through a knowledge map of the course and the overall curriculum. The knowledge map is a formal representation of the knowledge to be imparted to students in a program of study. In addition, the knowledge map has sufficient structure to capture a model of each student´s progression. It provides a graphical map of the concepts that a student has learned and the degree of understanding for each concept.
  • Keywords
    computer science education; educational courses; intelligent tutoring systems; adaptive question management system; comprehensive monitoring; computer science engineering education abstract; educational process; engineering courses; formal representation; intellectual ability planning; intelligent questioning system; intelligent tutoring system; knowledge map; Databases; Education; Humans; Knowledge engineering; Microprocessors; Physics; Adaptive Question Management System; Intelligent Questioning System; Knowledge Map; Question Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends and Applications in Computer Science (NCETACS), 2012 3rd National Conference on
  • Conference_Location
    Shillong
  • Print_ISBN
    978-1-4577-0749-0
  • Type

    conf

  • DOI
    10.1109/NCETACS.2012.6203292
  • Filename
    6203292