Article

SCORM metadata in the context of bloom-vincenti taxonomy and intelligent tutoring system

Authors:

C. B. Bhatt,

N. J. RaoAuthors Info & Claims

ICWE '06: Proceedings of the 6th international conference on Web engineering

Pages 87 - 88

https://doi.org/10.1145/1145581.1145598

Published: 11 July 2006 Publication History

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Abstract

This paper identifies several types of learning objects that need to be identified uniquely in certain contexts of technology supported learning. One set of learning objects are identified in the context of a Web -- based Intelligent Tutoring System (WITS). The second set consists of learning objects designed to meet the learning objectives identified in the framework of Bloom and Vincenti, which, in the opinion of the authors, is better suited to subjects in engineering. It also demonstrates how the metadata for these learning objects can be created with in SCORM -- LOM.

References

[1]

ADL -- SCORM, Content Aggregation Model (CAM) Version 1.3.1, available online at http://www.adlnet.org, 2004

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[2]

Bhatt, C. B., and Rao, N. J., A framework to generate learning objectives based on Vincenti's categorization of engineering knowledge. WSEAS Transaction on Advances in Engineering Education, 3, 2 (July. 2005), 224--229.

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[3]

Vincenti W. G., What Engineers Know and How They Know It: Analytical Studies from Aeronautical History, John Hopkins University Press, Baltimore, 1990.

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SCORM metadata in the context of bloom-vincenti taxonomy and intelligent tutoring system

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Published In

ICWE '06: Proceedings of the 6th international conference on Web engineering

July 2006

384 pages

ISBN:1595933522

DOI:10.1145/1145581

General Chairs:
Dave Wolber
University of San Francisco, USA
,
Neil Calder
SLAC, USA
,
Program Chairs:
Chris Brooks
University of San Francisco, USA
,
Athula Ginige
University of Western Sydney, Australia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 July 2006

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