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  • 标题:Computerized Item Modeling Practices using Computer Adaptive Formative Assessment Automatic Item Generation System: A Tutorial
  • 本地全文:下载
  • 作者:Choi, Jaehwa ; Zhang, Xinxin
  • 期刊名称:Tutorials in Quantitative Methods for Psychology
  • 电子版ISSN:1913-4126
  • 出版年度:2019
  • 卷号:15
  • 期号:3
  • 页码:214-225
  • DOI:10.20982/tqmp.15.3.p214
  • 出版社:Université de Montréal
  • 摘要:This tutorial provides a user-friendly technical document to assist those interested in developing item models using Computer Adaptive Formative Assessment (CAFA) Automatic Item Generation (AIG), which is a specialized web-based system for AIG. The first section of the tutorial introduces AIG theory and background, clarifying its definition, listing its potential advantages, and explaining the underlying philosophy/theory. CAFA AIG system, a web-based system specialized in implementing AIG, is introduced in the second section. The tutorial concludes by providing three computerized item modeling examples to enable readers to understand how AIG can be applied in their own research.
  • 关键词:Automatic Item Generation; Assessment Engineering; Evidence-centered Design; Digital Assessments; Computer Adaptive Formative Assessments
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