A novel computerized adaptive testing framework with decoupled learning selector

Abstract Computerized adaptive testing (CAT) targets to accurately assess the student’s proficiency in the required subject/area. The key issue is how to design a question selector that adaptively selects the best-suited questions for each student based on previous performance step by step. Most exi...

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Bibliographic Details

Published in:	Complex & Intelligent Systems
Main Authors:	Haiping Ma, Yi Zeng, Shangshang Yang, Chuan Qin, Xingyi Zhang, Limiao Zhang
Format:	Article
Language:	English
Published:	Springer 2023-03-01
Subjects:	Computerized adaptive testing Question selector Student assessment Learning selector
Online Access:	https://doi.org/10.1007/s40747-023-01019-1