43 citations · 51 across the 5 of their papers we have counts for
5 papers
A Dual-Dimensional LLM Framework for Automated Item Incidental Content Similarity Analysis in Large-Scale Assessments
Jing Huang, Jihong Zhang, Hua-Hua Chang
The rapid expansion of large-scale assessments and the growing adoption of automatic item generation have intensified concerns about incidental content redundancy, where construct-…
Deep Reinforcement Learning for Adaptive Learning Systems
Xiao Li, Hanchen Xu, Jinming Zhang +1
In this paper, we formulate the adaptive learning problem---the problem of how to find an individualized learning plan (called policy) that chooses the most appropriate learning ma…
Optimal Hierarchical Learning Path Design with Reinforcement Learning
Xiao Li, Hanchen Xu, Jinming Zhang +1
E-learning systems are capable of providing more adaptive and efficient learning experiences for students than the traditional classroom setting. A key component of such systems is…
Sequential Design for Computerized Adaptive Testing that Allows for Response Revision
Shiyu Wang, Georgios Fellouris, Hua-Hua Chang
In computerized adaptive testing (CAT), items (questions) are selected in real time based on the already observed responses, so that the ability of the examinee can be estimated as…
Nonlinear sequential designs for logistic item response theory models with applications to computerized adaptive tests
Hua-Hua Chang, Zhiliang Ying
Computerized adaptive testing is becoming increasingly popular due to advancement of modern computer technology. It differs from the conventional standardized testing in that the s…