A Particle Swarm Optimization Approach to Composing Serial Test Sheets for Multiple Assessment Criteria
學年 94
學期 2
出版（發表）日期 2006-07-01
作品名稱 A Particle Swarm Optimization Approach to Composing Serial Test Sheets for Multiple Assessment Criteria
作品名稱（其他語言）
著者 Chen, Ying; Yin, Peng-yeng; Chang, Kuang-cheng; Hwang, Gwo-jen; Hwang, Gwo-haur
單位 淡江大學教育政策與領導研究所
出版者 Palmerston North: International Forum of Educational Technology & Society
著錄名稱、卷期、頁數 Journal of Educational Technology and Society 9(3), pp.3-15
摘要 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.
關鍵字
語言 en
ISSN 1436-4522
期刊性質 國外
收錄於 SSCI
產學合作
通訊作者
審稿制度 否
國別 NZL
公開徵稿
出版型式 ,紙本
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