This paper proposes a method for computerized adaptive testing by selecting questions that have similar gradients in their expected responses to other questions ...
A Bounded Ability Estimation framework for CAT (BECAT) is proposed in a data-summary manner, which selects a question subset that closely matches the gradient ...
Computerized adaptive testing (CAT), as a tool that can efficiently measure stu- dent's ability, has been widely used in various standardized tests (e.g., ...
2024/05/30 · A Bounded Ability Estimation framework for CAT (BECAT) is proposed in a data-summary manner, which selects a question subset that closely matches the gradient ...
CAT's Goal: Accurately assess student true ability 𝜽0 with as few questions as possible (accuracy and efficiency). • (1) Cognitive Diagnosis Model: ...
Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education ... A Bounded Ability Estimation for Computerized Adaptive Testing. Y Zhuang, ...
This Python library offers a streamlined solution for rapidly developing a Computerized Adaptive Testing (CAT) system.
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Computerized adaptive testing (CAT) estimates an examinee's ability sequentially and selects test items that have the highest accuracy for estimating the ...
2024/03/31 · This paper aims to provide a machine learning-focused survey on CAT, presenting a fresh perspective on this adaptive testing method.
This work presents a generic optimization criterion Robust Adaptive Testing (RAT) for proficiency estimation via fusing multiple estimates at each step, ...