New Item Selection Criteria of Computerized Adaptive Testing with Exposure-Control Factor

New Item Selection Criteria of Computerized Adaptive Testing with Exposure-Control Factor

Bibliographic Data

ID19407409
AuthorsXiao-Yang CHENG (Jiangxi Normal University, corresponding author), Shuliang DING (0009-0007-2253-9452, Gannan Normal University, corresponding author), Shu-Liang DING, Shen-Hai YAN, Yan Shen-hai (Gannan Normal University, corresponding author), Long-Yin ZHU (Gannan Normal University, corresponding author)
Year2012
Volume43
Issue2
Pages203-212
Publication date2012-03-29
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueActa Psychologica Sinica (JOURNAL)
Journal identifiersISSN: 0439-755X
PublisherChina Science Publishing & Media Ltd (PUBLISHER)
DOI10.3724/sp.j.1041.2011.00203
OpenAlexW2329848688
LanguageEN
Citations received4
References cited6

摘要: 在计算机化自适应测验(CAT)的研究中, 制定既高效又安全的选题策略是一个追求目标。用极大项目信息量准则(MIC)选题使得测验效率高、能力估计准确, 缺点是项目调用很不均匀, 影响考试的安全; 按a分层法通过控制试题曝光率以提高考试的安全性, 但该方法可能会使测验效率略有下降, 且该方法在各层内部无法实现对区分度的调整。本文针对上述两种选题策略的优缺点, 对0-1评分下的CAT, 通过引入曝光因子、分阶段自动调整区分度的影响以及提高选题准确性等手段, 对MIC和a-STR进行改进, 引入了两类新的选题策略。计算机模拟实验显示, 新的选题方法效果比较理想

Computerized adaptive testing · Psychometrics · Reliability engineering · Statistics · Computer Science · Engineering · Mathematics · Psychology · Psychometric Methodologies and Testing · Risk and Safety Analysis · Technology and Data Analysis · Artificial Intelligence

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