• DocumentCode
    2241844
  • Title

    A Tutoring Tool Based on Bayesian Approach

  • Author

    Colace, Francesco ; De Santo, Massimo

  • Author_Institution
    DIIIE, Universita degli Studi di Salerno, Fisciano
  • fYear
    2006
  • fDate
    5-7 July 2006
  • Firstpage
    109
  • Lastpage
    113
  • Abstract
    In this paper we introduce a tutoring approach for e-learning formative process. This approach is strictly related to the assessment phase. Assessment in the context of education is the process of characterizing what a student knows. The reasons to perform evaluation are quite varied, ranging from a need to informally understand student learning progress in a course to a need to characterize student expertise in a subject. Finding an appropriate assessment tool is a central challenge in designing a tutoring approach. In this paper we propose a method based on the use of ontologies and their representation through a Bayesian networks. The aim of our approach is the generation of adapted questionnaires in order to test the student´s knowledge of every domain´s subject. Analyzing the results of the evaluation an intelligent tutoring system can help students offering an effective support to learning process and adapting their learning paths
  • Keywords
    belief networks; intelligent tutoring systems; ontologies (artificial intelligence); Bayesian networks; e-learning; education; intelligent tutoring system; knowledge representation; learning assessment; ontologies; student assessment; student learning progress; tutoring tool; Bayesian methods; Education; Electronic learning; Feedback; Intelligent systems; Internet; Ontologies; Performance evaluation; Problem-solving; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2006. Sixth International Conference on
  • Conference_Location
    Kerkrade
  • Print_ISBN
    0-7695-2632-2
  • Type

    conf

  • DOI
    10.1109/ICALT.2006.1652380
  • Filename
    1652380