• DocumentCode
    3628497
  • Title

    Question recommender with ML business logic

  • Author

    Dumitru Dan Burdescu;Marian Cristian Mihaescu;Bogdan Logofatu

  • Author_Institution
    University of Craiova, Faulty of Automation, Computers and Electronics, Software, Engineering Department, Bvd. Decebal, Nr. 107, 200440, Dolj, Romania
  • fYear
    2008
  • Firstpage
    639
  • Lastpage
    644
  • Abstract
    Advising the learner regarding the resources he needs to access in order to obtain best learning proficiency is one of the main issues in Learning Management Systems. This paper presents an original method of recomending questions that need to be taken into consideration for answering by learner. The Business Logic that decides what questions are displayed to student is based on Machine Learning algorithms, more exactly on Naive Bayes classifier.
  • Keywords
    "Data models","Classification algorithms","Adaptation model","Machine learning","Chapters","Training","Electronic learning"
  • Publisher
    ieee
  • Conference_Titel
    Information Technology Interfaces, 2008. ITI 2008. 30th International Conference on
  • ISSN
    1330-1012
  • Print_ISBN
    978-953-7138-12-7
  • Type

    conf

  • DOI
    10.1109/ITI.2008.4588485
  • Filename
    4588485
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3628497