Yang, R., Chen, R., Kelaita, P., Ranjan, R., Ma, S., Dickens, C. A., Guillod, M., Ma, M., & Nyarko, J. (2026). JudgmentBench: Comparing rubric and preference evaluation for quality assessment [Manuscript submitted for review].
Current Research
- Evaluation
- Patent Examination – How do institutions decide which ideas deserve recognition and advancement? How do individual and collective evaluators interpret legal and technical documentation during the patent examination process?
- Peer Review - What is the goal of peer review? How do reviewers and editors evaluate new ideas, and what factors shape editorial decisions? As AI systems become embedded in evaluation and collaboration, how might they reshape these decision processes?
- Character AI (ChAI) - How do students’ perceptions of school experiences influence their use of AI?
Work in Progress
Chen, R., Smith, D.S., McFarland, D.A. (2025). Why do papers get desk rejected? [Manuscript submitted for review].
Publications
Journal Articles
Lee, V. R., Harris, E. F., Chen, R., & Levine, S. (2026). Words as Data: Integrating Data Visualizations and English Language Arts for Classrooms With Multilingual Students. Journal of Statistics and Data Science Education, 1-17.
Chen, R., Lee, V. R., Kuo, A. C., Pope, D. C., & Miles, S. (2026). Cheating in the second year of generative AI chatbots: a follow-up study on high school student cheating behaviors. Educational technology research and development, 1-29.
Chen, R., Lee, V. R., & Lee, M. (2025). A Cross-Sectional Look at Teacher Reactions, Worries, and Professional Development Needs Related to Generative AI in an Urban School District. Education and Information Technologies.
Conference Preprints
Jiang, Y., Wang, Z. Z., Chen, R., & Yang, D. (in press). Inducing task models from computer-use traces. In Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics.
Chen, R.*, & Zhao, Y.* (2025). EduCSW: Building a Mandarin-English Code-Switched Generation Pipeline for Computer Science Learning. ACL BEA 2025. (*Equal contribution)
Presentations
Chen, R., Du, T., & McFarland, D. A. (2026, August). Homogenization or epistemic pluralism: LLM-generated reviews in scientific peer review [Conference presentation]. Annual Meeting of the American Sociological Association, New York, NY, United States.
Chen, R., Miles, S., Kuo, A. C., Pope, D. C., & Lee, V. R. (2026, April). Motivation, belonging, and perceptions of school work behind high school students’ AI usage patterns [Roundtable presentation]. Annual Meeting of the American Educational Research Association, Los Angeles, CA, United States.
Lee, V. R., Chen, R., Levine, S., & Demszky, D. (2025, February). Middle School Students’ Attitude and Self-efficacy Changes Towards Data and English Language Arts Following Instructional Integration [Conference presentation]. Data Science Education Conference 2025, San Antonio, TX.
Lee, V. R., Chen, R., Kuo, A. C., & Pope, D. (2025). Adolescent cheating with generative AI after a full-academic year: A status check [Conference presentation]. Society for Research in Child Development 2025 Biennial Meeting, Minneapolis, MN.
Others
Chen, R. (2023). Can students step up their mathematical learning through movement? A course evaluation for Move Your Math [Undergraduate honors thesis, Emory University]. Emory Theses and Dissertations.