An Adaptive System for Retrieval and Composition of Learning Objects

An Adaptive System for Retrieval and Composition of Learning Objects

Burasakorn Yoosooka, Vilas Wuwongse
ISBN13: 9781466624702|ISBN10: 1466624701|EISBN13: 9781466624719
DOI: 10.4018/978-1-4666-2470-2.ch005
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MLA

Yoosooka, Burasakorn, and Vilas Wuwongse. "An Adaptive System for Retrieval and Composition of Learning Objects." Mobile and Web Innovations in Systems and Service-Oriented Engineering, edited by Dickson K.W. Chiu, IGI Global, 2013, pp. 83-101. https://doi.org/10.4018/978-1-4666-2470-2.ch005

APA

Yoosooka, B. & Wuwongse, V. (2013). An Adaptive System for Retrieval and Composition of Learning Objects. In D. Chiu (Ed.), Mobile and Web Innovations in Systems and Service-Oriented Engineering (pp. 83-101). IGI Global. https://doi.org/10.4018/978-1-4666-2470-2.ch005

Chicago

Yoosooka, Burasakorn, and Vilas Wuwongse. "An Adaptive System for Retrieval and Composition of Learning Objects." In Mobile and Web Innovations in Systems and Service-Oriented Engineering, edited by Dickson K.W. Chiu, 83-101. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2470-2.ch005

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Abstract

This paper proposes a new approach to automatic retrieval and composition of Learning Objects (LOs) in an Adaptive Educational Hypermedia System (AEHS) using multidimensional learner characteristics to enhance learning effectiveness. The approach focuses on adaptive techniques in four components of AEHS: Learning Paths, LO Retrieval, LO Sequencing, and Examination Difficulty Levels. This approach has been designed to enable the adaptation of rules to become generic. Hence, the application to various domains is possible. The approach dynamically selects, sequences, and composes LOs into an individual learning package based on the use of domain ontology, learner profiles, and LO metadata. The Sharable Content Object Reference Model is employed to represent LO metadata and learning packages in order to support LO sharing. The IMS Learner Information Package Specification is used to represent learner profiles. A preliminary evaluation of the developed system indicates the system’s effectiveness in terms of learners’ satisfaction.

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