Most Recent Additions
Learning at Scale as Infrastructure: LMS Platforms, Data Pipelines, and Language-Based Evidence for Educational Measurement
Danielle S. McNamara, Michelle Banawan, Renu Balyan, Rod D. Roscoe, and Tracy Arner
学生数学与科学学业成长的跨国评估研究 — 基于TIMSS2023国际纵向研究数据库
Bethany Fishbein, Ummugul Bezirhan, and Matthias von Davier
International Measures of Student Growth in Mathematics and Science Achievement: The TIMSS 2023 Longitudinal International Database
Bethany Fishbein, Ummugul Bezirhan, and Matthias von Davier
项目反应数据库：是什么、如何使用以及未来提升目标
Savira D. Nadela, Hansol Lee, Nishka Jain, Ayaan Gupta, Xingyi Zhang, and Benjamin W. Domingue
The Item Response Warehouse: What It Is, How to Use It, and Targets for Potential Improvements
Savira D. Nadela, Hansol Lee, Nishka Jain, Ayaan Gupta, Xingyi Zhang, and Benjamin W. Domingue
编者按：《编者按：《教育测量大数据源》专题特刊》专题特刊
Okan Bulut and Yi Zheng
Editorial: Special Issue on Big Data Sources in Educational Measurement
Okan Bulut and Yi Zheng
生成式语言模型在自动写作评估中的早期综述：自动作文评分与反馈 生成领域的进展、挑战及方向
Yue Huang, Corey Palermo, Ruitao Liu, and Yong He
潜剖面分析中顺序量表的处理：基于蒙特卡罗模拟的比较
Chongming Yang, Joseph Olsen, Caleb Carlyle, and Yanni Shen
Treatments of Ordinal Scales in Latent Profile Analyses: A Comparison with Monte Carlo Simulations
Chongming Yang, Joseph Olsen, and Caleb Carlyle
An Early Review of Generative Language Models in Automated Writing Evaluation: Advancements, Challenges, and Future Directions for Automated Essay Scoring and Feedback Generation
Yue Huang, Corey Palermo, Ruitao Liu, and Yong He
自然语言处理在评估数据中的应用流程：基于R的教程
Constanza Mardones-Segovia, Yaxuan Yang, Shiyu Wang, and Allan S. Cohen
能力导向教育模式与未来技能的对接研究
Teresa M. Ober, Lei Liu, David Nitkin, and Ou Lydia Liu
Aligning Models of Competency-based Education with Skills for the Future
Teresa M. Ober, Lei Liu, David Nitkin, and Ou Lydia Liu
Natural Language Processing Pipeline for Assessment Data: An R-Based Tutorial
Constanza Mardones-Segovia, Shiyu Wang, and Allan S. Cohen
编者按：《教育测量中的人工智能与机器学习》专题特刊（第三部分）
Okan Bulut and Yi Zheng
Editorial: Special Issue on Artificial Intelligence and Machine Learning in Educational Measurement (Part 3)
Okan Bulut and Yi Zheng
人机协同：运用人工智能与机器学习保障教育评估的公平与无偏差
Hayri Eren Suna and Mahmut Özer
The Human Complementary Usage of AI and ML for Fair and Unbiased Educational Assessments
Hayri Eren Suna and Mahmut Özer
解析学习管理系统事件日志的维度：来自探索性因素分析、心理测量网络分析和共识层次聚类的方法的启示
Surina He, Okan Bulut, Ying Cui, and Tarid Wongvorachan
*Updated as of 04/30/26.