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

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

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.4 Systems and Software

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.5 On-line Information Services

  I. Computing Methodologies
  I.7 DOCUMENT AND TEXT PROCESSING
      I.7.2 Document Preparation

General Terms:
Design, Documentation, Performance, Standardization

Keywords:
Bloom's taxonomy, SCORM - LOM, engineering knowledge, intelligent tutoring system (ITS), metadata