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ERIC Number: ED492887
Record Type: Non-Journal
Publication Date: 2006-Jun
Pages: 16
Abstractor: Author
Reference Count: 16
ISBN: N/A
ISSN: N/A
Performance Assessment Models and Tools for Complex Tasks. CSE Technical Report 682
Chung, Gregory K. W. K.; Delacruz, Girlie C.; Bewley, William L.
National Center for Research on Evaluation, Standards, and Student Testing (CRESST)
Assessment models support the design of quality performance assessments. Assessment tools are being developed to enable easy and effective application of the models. Based on representations of assessment design knowledge and domain knowledge in ontologies, the tools provide guidance to assessment designers, and through constraint processing check the completeness and accuracy of designs. With the addition of Bayesian networks, the tools can also enable individualized instruction by identifying knowledge gaps and prescribing instruction to fill the gaps. This paper describes the technical approach to developing the tools and discusses applications of ontologies and Bayesian networks for assessment authoring and individualized instruction. (Contains 2 figures and 1 table.) [This report was re-published as a CRESST report with permission from the International Test and Evaluation Association (ITEA) Journal. The original article was published in the ITEA Journal, March/April 2004, 25(1), 47-52.]
National Center for Research on Evaluation, Standards, and Student Testing (CRESST). 300 Charles E Young Drive N, GSE&IS Building 3rd Floor, Mailbox 951522, Los Angeles, CA 90095-1522. Tel: 310-206-1532; Fax: 310-825-3883; Web site: http://www.cresst.org.
Publication Type: Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: Institute of Education Sciences (ED), Washington, DC.; Office of Naval Research, Arlington, VA.
Authoring Institution: National Center for Research on Evaluation, Standards, and Student Testing, Los Angeles, CA.