Adapting SCORM Compliant LOs in a Knowledge Engineering Scenario

Adapting SCORM Compliant LOs in a Knowledge Engineering Scenario

Pierpaolo Di Bitonto
ISBN13: 9781613504833|ISBN10: 1613504837|EISBN13: 9781613504840
DOI: 10.4018/978-1-61350-483-3.ch002
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MLA

Di Bitonto, Pierpaolo. "Adapting SCORM Compliant LOs in a Knowledge Engineering Scenario." Intelligent Learning Systems and Advancements in Computer-Aided Instruction: Emerging Studies, edited by Qun Jin, IGI Global, 2012, pp. 17-30. https://doi.org/10.4018/978-1-61350-483-3.ch002

APA

Di Bitonto, P. (2012). Adapting SCORM Compliant LOs in a Knowledge Engineering Scenario. In Q. Jin (Ed.), Intelligent Learning Systems and Advancements in Computer-Aided Instruction: Emerging Studies (pp. 17-30). IGI Global. https://doi.org/10.4018/978-1-61350-483-3.ch002

Chicago

Di Bitonto, Pierpaolo. "Adapting SCORM Compliant LOs in a Knowledge Engineering Scenario." In Intelligent Learning Systems and Advancements in Computer-Aided Instruction: Emerging Studies, edited by Qun Jin, 17-30. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-483-3.ch002

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Abstract

The present paper focuses on the problem of personalising such teaching, tailoring it to the user’s cognitive and learning styles in order to supply the didactic material in the form best suited to the user, and thus facilitate learning of the knowledge sharing environment. Tailoring the teaching strategy is an innovative issue in the context of knowledge sharing communities.

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