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ERIC Number: EJ836837
Record Type: Journal
Publication Date: 2006
Pages: 13
Abstractor: As Provided
Reference Count: 22
ISBN: N/A
ISSN: ISSN-1436-4522
A Particle Swarm Optimization Approach to Composing Serial Test Sheets for Multiple Assessment Criteria
Yin, Peng-Yeng; Chang, Kuang-Cheng; Hwang, Gwo-Jen; Hwang, Gwo-Haur; Chan, Ying
Educational Technology & Society, v9 n3 p3-15 2006
To accurately analyze the problems of students in learning, the composed test sheets must meet multiple assessment criteria, such as the ratio of relevant concepts to be evaluated, the average discrimination degree, difficulty degree and estimated testing time. Furthermore, to precisely evaluate the improvement of student's learning performance during a period of time, a series of relevant test sheets need to be composed. In this paper, a particle swarm optimization-based approach is proposed to improve the efficiency of composing near optimal serial test sheets from very large item banks to meet multiple assessment criteria. From the experimental results, we conclude that our novel approach is desirable in composing near optimal serial test sheets from large item banks and hence can support the need of evaluating student learning status. (Contains 4 tables and 6 figures.)
International Forum of Educational Technology & Society. Athabasca University, School of Computing & Information Systems, 1 University Drive, Athabasca, AB T9S 3A3, Canada. Tel: 780-675-6812; Fax: 780-675-6973; Web site: http://www.ifets.info
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A