Survey of Computerized Adaptive Testing: A Machine Learning Perspective

1 code implementation • 31 Mar 2024 • Qi Liu, Yan Zhuang, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen

Computerized Adaptive Testing (CAT) provides an efficient and tailored method for assessing the proficiency of examinees, by dynamically adjusting test questions based on their performance.

cognitive diagnosis Question Selection +1

On Critical Sampling of Time-Vertex Graph Signals

1 code implementation • 6 Sep 2019 • Junhao Yu, Xuan Xie, Hui Feng, Bo Hu

This paper focuses on the fundamental problem of sampling and reconstruction of joint time-vertex graph signals.