AI RESEARCH
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
arXiv CS.LG
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ArXi:2404.00712v3 Announce Type: replace Computerized Adaptive Testing (CAT) offers an efficient and personalized method for assessing examinee proficiency by dynamically adjusting test questions based on individual performance. Compared to traditional, non-personalized testing methods, CAT requires fewer questions and provides accurate assessments. As a result, CAT has been widely adopted across various fields, including education, healthcare, sports, sociology, and the evaluation of AI models.