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Using Large Language Models to Provide Explanatory Feedback to Human Tutors.

J. Lin, D. Thomas, F. Han, S. Gupta, W. Tan, N. Nguyen, и K. Koedinger. Human-AI Math Tutoring@AIED, том 3491 из CEUR Workshop Proceedings, стр. 12-23. CEUR-WS.org, (2023)

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Danielle Hartung

Berufsspezifische arbeits- und ernährungsbedingte Herz-Kreislauf-Risiken sowie präventive MaßnahmenD. Hartung. Uni Jena, (2009)

Danielle Dennewald

Danielle Lauer

Danielle Lemaire

Danielle Hoja

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Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation.D. Thomas, J. Lin, E. Gatz, A. Gurung, S. Gupta, K. Norberg, S. Fancsali, V. Aleven, L. Branstetter, E. Brunskill и 1 other автор(ы). LAK, стр. 404-415. ACM, (2024)Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk.D. Thomas, J. Lin, S. Bhushan, R. Abboud, E. Gatz, S. Gupta, и K. Koedinger. L@S, стр. 481-485. ACM, (2024)Using Large Language Models to Provide Explanatory Feedback to Human Tutors.J. Lin, D. Thomas, F. Han, S. Gupta, W. Tan, N. Nguyen, и K. Koedinger. Human-AI Math Tutoring@AIED, том 3491 из CEUR Workshop Proceedings, стр. 12-23. CEUR-WS.org, (2023)Towards the Future of AI-Augmented Human Tutoring in Math Learning.V. Aleven, R. Baraniuk, E. Brunskill, S. Crossley, D. Demszky, S. Fancsali, S. Gupta, K. Koedinger, C. Piech, S. Ritter и 3 other автор(ы). AIED (Posters/Late Breaking Results/...), том 1831 из Communications in Computer and Information Science, стр. 26-31. Springer, (2023)Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons.D. Thomas, S. Gupta, и K. Koedinger. AIED (Posters/Late Breaking Results/...), том 1831 из Communications in Computer and Information Science, стр. 714-719. Springer, (2023)Using latent variable models to make gaming-the-system detection robust to context variations.Y. Huang, S. Dang, J. Richey, P. Chhabra, D. Thomas, M. Asher, N. Lobczowski, E. McLaughlin, J. Harackiewicz, V. Aleven и 1 other автор(ы). User Model. User Adapt. Interact., 33 (5): 1211-1257 (ноября 2023)The Neglected 15%: Positive Effects of Hybrid Human-AI Tutoring Among Students with Disabilities.D. Thomas, E. Gatz, S. Gupta, V. Aleven, и K. Koedinger. AIED (1), том 14829 из Lecture Notes in Computer Science, стр. 409-423. Springer, (2024)Comparative Analysis of GPT-4 and Human Graders in Evaluating Human Tutors Giving Praise to Students.D. Hirunyasiri, D. Thomas, J. Lin, K. Koedinger, и V. Aleven. Human-AI Math Tutoring@AIED, том 3491 из CEUR Workshop Proceedings, стр. 37-48. CEUR-WS.org, (2023)Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation.Z. Han, J. Lin, A. Gurung, D. Thomas, E. Chen, C. Borchers, S. Gupta, и K. Koedinger. CoRR, (2024)

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