Collecting, summarizing, and commenting on high quality empirical research on the impacts of generative AI on teaching, learning, and instructional design.
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Hu, X., Xu, S., Tong, R., & Graesser, A. (2025). Generative AI in Education: From Foundational Insights to the Socratic Playground for Learning (No. arXiv:2501.06682). arXiv. https://doi.org/10.48550/arXiv.2501.06682
Mushtaq, A., Naeem, M. R., Taj, M. I., Ghaznavi, I., & Qadir, J. (2025). Toward Inclusive Educational AI: Auditing Frontier LLMs through a Multiplexity Lens. arXiv. https://doi.org/10.48550/arXiv.2501.03259
Casabianca, J. M., McCaffrey, D. F., Johnson, M. S., Alper, N., & Zubenko, V. (2025). Validity Arguments For Constructed Response Scoring Using Generative Artificial Intelligence Applications. arXiv. https://doi.org/10.48550/arXiv.2501.0233...
Impey, C., Wenger, M., Garuda, N., Golchin, S., & Stamer, S. (2024). Using Large Language Models for Automated Grading of Student Writing about Science. arXiv. https://doi.org/10.48550/arXiv.2412.18719
The writers behind this newsletter.
David Wiley, PhD is Chief Academic Officer at Lumen Learning, Director of the Brad D. Smith Student Incubator at Marshall University, and adjunct faculty in Instructional Psychology and Technology at Brigham Young University.
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