Editors
- Yi Zheng 郑 屹, Arizona State University
- Hua-Hua Chang 张华华, Purdue University
- Tao Xin 辛 涛, Beijing Normal University 北京师范大学
The Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊 is published in Chinese and English and is cosponsored by National Council on Measurement in Education (NCME) and Beijing Normal University (BNU). The Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊 aims to publish original empirical articles which present new approaches to educational measurement and evaluation, as well as review articles that share advances in scholarship and practice between the United States, China, and the assessment and evaluation communities throughout the world.
《教育测量与评估双语期刊》（CEJEME）由美国教育测量协会（NCME）和北京师范大学共同承办， 并将以两种语言（中文和英文）出版。CEJEME将发表关于教育测量与评估新方法的原创性实证文章，同时发表能够促进中国与美国及其他地区教育测量和评估团体间学术和实践经验的交流的评论性文章。
Current Issue: Volume 5, Issue 3 (2024) Special Issue on Artificial Intelligence and Machine Learning in Educational Measurement (Part 1)
Introduction
This issue is the first part of CEJEME's Special Issue on Artificial Intelligence and Machine Learning in Educational Measurement. As AI and ML technologies revolutionize education, they offer new opportunities for personalized learning and innovative assessment practices. This issue highlights the transformative impact of AI and ML on educational measurement, addressing both their potential and the ethical challenges they pose. The issue includes four articles that explore the opportunities and ethical challenges of AI in educational measurement, automated text scoring in the age of Generative AI for the GPU-poor, a novel approach using autoencoders and BERT to detect compromised items in computerized testing, and the use of ML packages in R. These articles provide valuable insights into the future of educational measurement. The second part of this special issue will be available in spring 2025. (注：中文版本将稍后上线。感谢您的耐心等待!）-- Yi Zheng and Okan Bulut, co-editors of the special issue.Articles
Editorial: Special Issue on Artificial Intelligence and Machine Learning in Educational Measurement (Part 1)
Okan Bulut and Yi Zheng
编者按：《教育测量中的人工智能与机器学习》专题特刊（第一部分）
Okan Bulut and Yi Zheng
The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges
Okan Bulut, Maggie Beiting-Parrish, Jodi M. Casabianca, Sharon C. Slater, Hong Jiao, Dan Song, Christopher Ormerod, Deborah Gbemisola Fabiyi, Rodica Ivan, Cole Walsh, Oscar Rios, Joshua Wilson, Seyma N. Yildirim-Erbasli, Tarid Wongvorachan, Joyce Xinle Liu, Bin Tan, and Polina Morilova
人工智能在教育测量中的应用：机遇与伦理挑战
Okan Bulut, Maggie Beiting-Parrish, Jodi M. Casabianca, Sharon C. Slater, Hong Jiao, Dan Song, Christopher Ormerod, Deborah Gbemisola Fabiyi, Rodica Ivan, Cole Walsh, Oscar Rios, Joshua Wilson, Seyma N. Yildirim-Erbasli, Tarid Wongvorachan, Joyce Xinle Liu, Bin Tan, and Polina Morilova
Automated Text Scoring in the Age of Generative AI for the GPU-poor
Chris M. Ormerod and Alexander Kwako
在GPU资源匮乏环境下的利用生成式人工智能的自动化文本评分
Chris M. Ormerod and Alexander Kwako
Detecting Compromised Items in Computerized Linear Testing: A Novel Approach Using Autoencoders and BERT
Yiqin Pan and Sandip Sinharay
在计算机化线性测试中检测泄露试题：一种使用自编码器和BERT的新方法
Yiqin Pan and Sandip Sinharay
R中机器学习包的比较：基于开放数据的应用
Daniel O. Oyeniran