Chen, R., Smith, D. S., & McFarland, D. A. (2025). Why do papers get desk rejected? [Manuscript submitted for publication].

Yang, R., Chen, R., Kelaita, P., Ranjan, R., Ma, S., Dickens, C. A., Guillod, M., Ma, M., & Nyarko, J. (in press). JudgmentBench: Comparing rubric and preference evaluation for quality assessment. In Advances in Neural Information Processing Systems 39 (Evaluations and Datasets Track).

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. In E. Kochmar, B. Alhafni, M. Bexte, J. Burstein, A. Horbach, R. Laarmann-Quante, A. Tack, V. Yaneva, & Z. Yuan (Eds.), Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025) (pp. 908–919). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.bea-1.68 (*Equal contribution)

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, 34(4), 491–507. https://doi.org/10.1080/26939169.2026.2670354

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, 74(2), 639–667. https://doi.org/10.1007/s11423-026-10587-1

Chen, R., Lee, V. R., & Lee, M. G. (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, 30(11), 16045–16082. https://doi.org/10.1007/s10639-025-13350-w

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, United States.

Lee, V. R., Chen, R., Kuo, A. C., & Pope, D. (2025, May). 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, United States.

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.