Publications

In Press​

• Choi, J., Wu, R,., Tate, T., Tseng, W., Harnick-Shapiro, B., Yim, S., Warschauer, M. (in press). Redistributing Cognition in AI-Supported Writing. To appear in Proceedings of the International Society of the Learning Sciences (ISLS) Annual Meeting. (paper)
• Choi, J. & Nixon, N. (in press). Reconceptualizing Activity Theory for Human-AI Teaming in Computer-Supported Collaborative Learning. To appear in Proceedings of the International Society of the Learning Sciences (ISLS) Annual Meeting. (paper)​
• Sung, S., Ryu, H., Hwang, J., & Jang, I. C. (in press). Exploring digital learning processes through webcam-based eye tracking: Development and applications of SNUWET. To appear in Proceedings of the International Society of the Learning Sciences (ISLS) Annual Meeting. (paper)
• Keramati, A., & Warschauer, M. (in press). A teacher-in-the-loop multi-agent framework for transparent essay scoring and feedback. To appear in Proceedings of the International Society of the Learning Sciences Annual Meeting. (paper)
• Keramati, A., Cao, J., Mohammadi, I., Warschauer, M., & Shi, Y. (in press). Simulating students’ Java programming errors with large language models. To appear in Proceedings of the 19th International Conference on Educational Data Mining.
• Keramati, A., Cheok, J., Horne, J., & Warschauer, M. (in press). When does confidence signal quality? Log-probabilities and LLM-as-judge in multi-agent debate. To appear in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics.
• Mohammadi, I., Keramati, A., & Rismanchian, S. (in press). Mapping instructors’ attitudes towards cheating with AI: An exploratory analysis using forum analysis. Proceedings of the International Society of the Learning Sciences Annual Meeting.
• Mohammadi, I., Rismanchian, S., Keramati, A., & Salehi, S. (in press). Understanding students’ rationales for AI-mediated cheating: An instructor perspective from online forums analysis. To appear in Proceedings of the International Society of the Learning Sciences (ISLS) Annual Meeting.
• Tate, T.P., Tseng, W., Harnick-Shapiro, B., Ritchie, D.R., & Warschauer, M. (in press). The impact of AI on the process of learning to write. To appear in Proceedings of the International Society of the Learning Sciences (ISLS) Annual Meeting. (paper)

2026

• Choi, J., Tate, T., & Warschauer, M. (2026). Anchor is the key: Toward accessible automated essay scoring with large language model through prompting. Assessing Writing, 69, 101053. https://doi.org/10.1016/j.asw.2026.101053
• Harnick-Shapiro, B., Tate, T.P., Tran, S., & Warschauer, M. (2026). AI Writing and Digital Literacy Fellows. (poster)
• Keramati, A., Cheok, J., Horne, J., & Warschauer, M. (2026). The first tokens matter: Early confidence signals for evaluating LLM reasoning. ICLR 2026 Workshop on Logical Reasoning of Large Language Models. https://openreview.net/forum?id=0FOOrwSQ9E
• Keramati, A., Zhou, S., Mehrotra, S., & Warschauer, M. (2026). From advocacy to judgment: Training-free analytic essay scoring with multi-agent debate and exemplar retrieval. https://openreview.net/forum?id=yfe123cdru
• Mohammadi, I., Keramati, A., Cao, J., & Shi, Y. (2026). Voices from the classroom: An analysis of online forum discussions on generative AI in everyday teaching. Companion Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference.
• Rismanchian, S., Babar, E. T. R., & Doroudi, S. (2026). What undergraduate students need to know and actually know about generative AI. Computers and Education: Artificial Intelligence, 100554. https://doi.org/10.1016/j.caeai.2026.100554
• Tajik, E., Borchers, C., Shahrokhian, B., Simon, S., Keramati, A., Pal, S., & Sankaranarayanan, S. (2026). Disagreement as data: Reasoning trace analytics in multi-agent systems. Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 933–939. https://doi.org/10.1145/3785022.3785101
• Tate, T.P., Harnick-Shapiro, B., Tseng, W., Dennin, M., & Warschauer, M. (2026, June). Student responses to the integration of generative AI into an upper division engineering writing course (IUSE) [Poster presentation]. American Society for Engineering Education Annual Conference & Exposition, Charlotte NC. (paper)
• Tate, T.P., Ritchie, D.R., & Warschauer, M. (2026). Generative AI as a mediational agent: Rethinking learning in sociocultural theory. https://doi.org/10.35542/osf.io/wcpj5_v1
• Tate, T.P., & Warschauer, M. (2026). Leveraging generative AI to improve writing instruction. In S. Graham, C. B. Olson, & T. Baker (Eds.), Writing instruction across the disciplines: Evidence-based practices in grades 6-12. Guilford Press.
• White, M., Vu, V., & Warschauer, M. (2026). Editor, tutor, or thinking partner: How students position AI in the writing classroom. https://doi.org/10.35542/osf.io/mbksp_v1​

2025

• Abdelhalim, S.M., Alsahil, A.A., Baek, C., Warschauer, M. (2025). University EFL instructors’ engagement with generative AI: A cross-cultural analysis. System, 135, 103861. https://doi.org/10.1016/j.system.2025.103861
• Choi, J., Tate, T.P., Ritchie, D.R., Nixon, N., & Warschauer, M. (2025). Anchor is the key: Toward accessible automated essay scoring with large language models through prompting. https://doi.org/10.35542/osf.io/cbhgz_v1
• Keramati, A., & Warschauer, M. (2025). Application of multi-agent systems for essay scoring. NeurIPS 2025 Education Program. https://openreview.net/forum?id=Y9c3ETKw50
• Keramati, A., & Warschauer, M. (2025). MADEST: Multi-agent debate essay scoring triangulation. Zenodo. https://doi.org/10.5281/zenodo.17196206
• Ritchie, D.R., Dowell, N., Tate, T.P., & Warschauer, M. (2025). From wandering to collaboration: Discourse patterns in middle school generative AI use. https://doi.org/10.35542/osf.io/nctyp_v1
• Ritchie, D.R., Tate, T.P., & Warschauer, M. (2025). Fine-tuning the educational design process: Lessons from sustained development of a generative AI-based classroom technology. https://doi.org/10.35542/osf.io/jxa4p_v1
• Tate, T.P., Harnick-Shapiro, B., Ritchie, D.R., Tseng, W., Dennin, M., & Warschauer, M. (2025). Incorporating generative AI into a writing-intensive undergraduate course without off-loading learning. Discover Computing. https://doi.org/10.1007/s10791-025-09563-9
• Tate, T.P., Harnick-Shapiro, B., Tseng, W., Ritchie, D.R., Dennin, M., & Warschauer, M. (2025). Integrating generative AI into an upper division STEM writing and communications course (IUSE). (paper) (poster)
• Tate, T.P., Steiss, J., Bailey, D., Graham, S., Moon, Y., Ritchie, D.R., Tseng, W., & Warschauer, M. (2024). Can AI provide useful holistic essay scoring? Computers and Education: Artificial Intelligence, 7, 100255. https://doi.org/10.1016/j.caeai.2024.100255
• Tseng, W. (2025). PapyrusAI: A multiyear study of student interaction with AI and evolving pedagogies [Panel session]. International Writing Across the Curriculum 2025, Fort Collins, CO, United States. (recording)
• Tseng, W., Tate, T.P., Harnick-Shapiro, B., & Warschauer, M. (2025). Pedagogical approaches to integrating generative AI in the undergraduate writing classroom. https://doi.org/10.35542/osf.io/ves79_v1

2024

• Baek, C., Tate, T.P., & Warschauer, M. (2024). “ChatGPT seems too good to be true”: College students’ use and perceptions of generative AI. Computers and Education: Artificial Intelligence, 7, 100294. https://doi.org/10.1016/j.caeai.2024.100294
• Du, Q., & Tate, T.P. (2024). ChatGPT, plagiarism, and multilingual students’ learning to write. The CATESOL Journal, 35(1). http://dx.doi.org/10.5070/B5.34831
• Jacob, S., Tate, T.P., & Warschauer, M. (2024). Emergent AI-assisted discourse: A case study of a second language writer authoring with ChatGPT. Journal of China Computer-Assisted Language Learning. https://doi.org/10.1515/jccall-2024-0011
• ​Steiss, J., Tate, T.P., Graham, S., Cruz, J., Hebert, M., Wang, J., Moon, Y., Tseng, W., Warschauer, M., & Olson, C. B. (2024). Comparing the quality of human and ChatGPT feedback of students’ writing. Learning and Instruction, 91, 101894. https://doi.org/10.1016/j.learninstruc.2024.101894
• Sung, S. (2024). Korean EFL STEM graduate students' use of ChatGPT in L2 writing process: A case study from an ecological perspective [Master’s thesis, Seoul National University]. https://s-space.snu.ac.kr/handle/10371/227683
• Sung, S. & Jang, I. (2024). South Korean STEM graduate students’ use of ChatGPT in self-initiated L2 writing: An explorative qualitative study. Korean Journal of English Language and Linguistics, 24, 1415-1435. https://doi.org/10.15738/kjell.24..202412.1415
• Tseng, W., & Warschauer, M. (2023). AI-writing tools in education: If you can’t beat them, join them. Journal of China Computer-Assisted Language Learning, 3(2), 258-262. https://doi.org/10.1515/jccall-2023-0008
• Warschauer, M., Tseng, W., Yim, S., Webster, T., Jacob, S., Du, Q., & Tate, T. (2023). The affordances and contradictions of AI-generated text for writers of English as a second or foreign language. Journal of Second Language Writing, 62. https://doi.org/10.1016/j.jslw.2023.101071
• Warschauer, M, & Xu, Y. (2024). Generative AI for Language learning: Entering a new era. Language Learning & Technology, 28(2), 1-4. https://hdl.handle.net/10125/73569

2023

• Fütterer, T., Fischer, C., Alekseeva, A., Chen, X., Tate, T., Warschauer, M., & Gerjets, P. (2023). ChatGPT in education: global reactions to AI innovations. Scientific Reports, 13, 15310. https://doi.org/10.1038/s41598-023-42227-6
• Tate, T.P., Doroudi, S., Ritchie, D.R., Xu, Y., & Warschauer, M. (2023). Educational research and AI-generated writing: Confronting the coming tsunami. https://doi.org/10.35542/osf.io/4mec3​

Average scores for ChatGPT and human feedback. [Steiss et al., 2024]

Integrating generative AI into an upper division STEM writing and communications course (IUSE). [ASEE 2025, conference poster]

AI Writing and Digital Literacy Fellows. [Better Together: California Convening on AI in Higher Education, 2026, conference poster]

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Cambridge Elements

We are serving as editors of a Cambridge Elements series on Generative AI in Education. If you are interested in proposing a 20,000-30,000 word monograph for the series, please see our Information for Authors.

Generative AI in Computer Science Education

• Authors: Diana Franklin, Paul Denny, David A. Gonzalez-Maldonado, and Minh Tran
• Published: April 5, 2025

Generative AI in Language Teaching

• Authors: Benjamin Luke Moorhouse and Kevin M. Wong
• Published: June 26, 2025
• Free to download online until July 10; available after that through university libraries and for purchase