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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, and K. Koedinger. Human-AI Math Tutoring@AIED, volume 3491 of CEUR Workshop Proceedings, page 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 Lemaire

Danielle Lauer

Danielle Hoja

Other publications of authors with the same name

Comparative Analysis of GPT-4 and Human Graders in Evaluating Praise Given to Students in Synthetic Dialogues.D. Hirunyasiri, D. Thomas, J. Lin, K. Koedinger, and V. Aleven. CoRR, (2023)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 and 1 other author(s). LAK, page 404-415. ACM, (2024)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 and 1 other author(s). User Model. User Adapt. Interact., 33 (5): 1211-1257 (November 2023)Using Large Language Models to Provide Explanatory Feedback to Human Tutors.J. Lin, D. Thomas, F. Han, S. Gupta, W. Tan, N. Nguyen, and K. Koedinger. Human-AI Math Tutoring@AIED, volume 3491 of CEUR Workshop Proceedings, page 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 and 3 other author(s). AIED (Posters/Late Breaking Results/...), volume 1831 of Communications in Computer and Information Science, page 26-31. Springer, (2023)Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons.D. Thomas, S. Gupta, and K. Koedinger. AIED (Posters/Late Breaking Results/...), volume 1831 of Communications in Computer and Information Science, page 714-719. Springer, (2023)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 and 1 other author(s). CoRR, (2023)Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation.Z. Han, J. Lin, A. Gurung, D. Thomas, E. Chen, C. Borchers, S. Gupta, and K. Koedinger. CoRR, (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, and V. Aleven. Human-AI Math Tutoring@AIED, volume 3491 of CEUR Workshop Proceedings, page 37-48. CEUR-WS.org, (2023)

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Disambiguation of "Thomas, Danielle R."

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

Please choose a person to relate this publication to

Danielle Hartung

Danielle Dennewald

Danielle Lemaire

Danielle Lauer

Danielle Hoja

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Thomas, Danielle R."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Using Large Language Models to Provide Explanatory Feedback to Human Tutors.

Please choose a person to relate this publication to

Danielle Hartung

Danielle Dennewald

Danielle Lemaire

Danielle Lauer

Danielle Hoja

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Using Large Language Models to Provide Explanatory Feedback to Human Tutors.