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
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