• DocumentCode
    661881
  • Title

    Learning in Moodle using Competence-Based Knowledge Space Theory and IMS QTI

  • Author

    Sitthisak, Onjira ; Gilbert, Lester ; Albert, Dietrich

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Thaksin Univ., Pattalung, Thailand
  • fYear
    2013
  • fDate
    4-6 Sept. 2013
  • Firstpage
    53
  • Lastpage
    57
  • Abstract
    The Modular Object Oriented Developmental Learning Environment (Moodle) LMS is currently a powerful tool in the educational process, as it supports web-based courses and quizzes, along with providing tools for communication and collaboration. Moodle can be considered as the best platform to support adaptive learning. Using a quiz component is critical to providing an adequate level of adaptation in e-assessment. This paper proposes an implementation of Competence-Based Knowledge Space Theory (CbKST) within Moodle which delivers assessments using an IMS QTI-compliant application. This implementation enhances adaptability, interoperability, portability, and reusability of e-assessments. The paper explores CbKST, a framework for domain and learner knowledge representation which constitutes the basis for meaningful learning paths adapted to the learners´ knowledge state. We introduce IMS QTI and its application for managing, verifying, and delivering e-assessments. The proposed system architecture is presented, and key benefits of the implementation are identified and suggestions for future work are provided.
  • Keywords
    Internet; courseware; educational courses; groupware; CbKST; IMS QTI-compliant application; LMS; Moodle; Web-based course; Web-based quiz; adaptive learning; collaboration; competence-based knowledge space theory; e-assessment; educational process; learner knowledge representation; learner knowledge state; modular object oriented developmental learning environment; Adaptation models; Adaptive systems; Computer science; Educational institutions; Electronic learning; Interoperability; IMS QTI; Moodle; competence-based knowledge space theory; computer adaptive test; e-assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Engineering Conference (ICSEC), 2013 International
  • Conference_Location
    Nakorn Pathom
  • Print_ISBN
    978-1-4673-5322-9
  • Type

    conf

  • DOI
    10.1109/ICSEC.2013.6694752
  • Filename
    6694752