1. Using Multidimensional Item Response Theory to Evaluate Educational and Psychological Tests
2. Haoyang Bi , Haiping Ma , Zhenya Huang , Yu Yin , Qi Liu , Enhong Chen , Yu Su , and Shijin Wang . 2020 . Quality meets diversity: A model-agnostic framework for computerized adaptive testing . In 2020 IEEE International Conference on Data Mining (ICDM). IEEE, 42–51 . Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, and Shijin Wang. 2020. Quality meets diversity: A model-agnostic framework for computerized adaptive testing. In 2020 IEEE International Conference on Data Mining (ICDM). IEEE, 42–51.
3. Alfredo Canziani , Adam Paszke , and Eugenio Culurciello . 2016. An analysis of deep neural network models for practical applications. arXiv preprint arXiv:1605.07678 ( 2016 ). Alfredo Canziani, Adam Paszke, and Eugenio Culurciello. 2016. An analysis of deep neural network models for practical applications. arXiv preprint arXiv:1605.07678 (2016).
4. A Global Information Approach to Computerized Adaptive Testing
5. Hua-Hua Chang and Zhiliang Ying . 1999. A-stratified multistage computerized adaptive testing. Applied psychological measurement 23, 3 ( 1999 ), 211–222. Hua-Hua Chang and Zhiliang Ying. 1999. A-stratified multistage computerized adaptive testing. Applied psychological measurement 23, 3 (1999), 211–222.