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ORCIDDanielle R. Thomas
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- affiliation: Carnegie Mellon University, PA, USA
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2020 – today
- 2024
[c12]Danielle R. Thomas, Erin Gatz, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger:
The Neglected 15%: Positive Effects of Hybrid Human-AI Tutoring Among Students with Disabilities. AIED (1) 2024: 409-423- [c11]Jionghao Lin, Eason Chen, Zifei FeiFei Han, Ashish Gurung, Danielle R. Thomas, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger:
How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. EDM 2024 - [c10]Danielle R. Thomas
, Jionghao Lin, Erin Gatz, Ashish Gurung, Shivang Gupta, Kole Norberg, Stephen E. Fancsali, Vincent Aleven, Lee G. Branstetter, Emma Brunskill, Kenneth R. Koedinger:
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. LAK 2024: 404-415 - [c9]Danielle R. Thomas, Jionghao Lin, Shambhavi Bhushan, Ralph Abboud, Erin Gatz, Shivang Gupta, Kenneth R. Koedinger:
Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk. L@S 2024: 481-485 - [i7]Sanjit Kakarla, Danielle Thomas, Jionghao Lin, Shivang Gupta, Kenneth R. Koedinger:
Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors. CoRR abs/2401.03238 (2024) - [i6]Zifei FeiFei Han, Jionghao Lin, Ashish Gurung, Danielle R. Thomas, Eason Chen, Conrad Borchers, Shivang Gupta, Kenneth R. Koedinger:
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation. CoRR abs/2402.14594 (2024) - [i5]Jionghao Lin, Eason Chen, Zeifei Han, Ashish Gurung, Danielle R. Thomas, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger:
How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. CoRR abs/2405.00291 (2024) - [i4]Jionghao Lin, Zifei FeiFei Han, Danielle R. Thomas, Ashish Gurung, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger:
How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses. CoRR abs/2405.00970 (2024) - 2023
- [j1]Yun Huang, Steven Dang, J. Elizabeth Richey, Pallavi Chhabra, Danielle R. Thomas, Michael W. Asher, Nikki G. Lobczowski, Elizabeth A. McLaughlin, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger:
Using latent variable models to make gaming-the-system detection robust to context variations. User Model. User Adapt. Interact. 33(5): 1211-1257 (2023) - [c8]Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger:
Using Large Language Models to Provide Explanatory Feedback to Human Tutors. Human-AI Math Tutoring@AIED 2023: 12-23 - [c7]Vincent Aleven, Richard G. Baraniuk, Emma Brunskill, Scott Crossley, Dora Demszky, Stephen Fancsali, Shivang Gupta, Kenneth R. Koedinger, Chris Piech, Steven Ritter, Danielle R. Thomas, Simon Woodhead, Wanli Xing:
Towards the Future of AI-Augmented Human Tutoring in Math Learning. AIED (Posters/Late Breaking Results/...) 2023: 26-31 - [c6]Dollaya Hirunyasiri, Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger, Vincent Aleven:
Comparative Analysis of GPT-4 and Human Graders in Evaluating Human Tutors Giving Praise to Students. Human-AI Math Tutoring@AIED 2023: 37-48 - [c5]Danielle R. Thomas, Shivang Gupta, Kenneth R. Koedinger:
Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons. AIED (Posters/Late Breaking Results/...) 2023: 714-719 - [c4]Danielle Thomas, Xinyu Yang, Shivang Gupta, Adetunji Adeniran, Elizabeth A. McLaughlin, Kenneth R. Koedinger:
When the Tutor Becomes the Student: Design and Evaluation of Efficient Scenario-based Lessons for Tutors. LAK 2023: 250-261 - [e1]Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger:
Proceedings of the Workshop "Towards the Future of AI-augmented Human Tutoring in Math Learning" co-located with The 24th International Conference on Artificial Intelligence in Education (AIED 2023), Tokyo, Japan, July 3, 2023. CEUR Workshop Proceedings 3491, CEUR-WS.org 2023 [contents] - [i3]Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger:
Using Large Language Models to Provide Explanatory Feedback to Human Tutors. CoRR abs/2306.15498 (2023) - [i2]Dollaya Hirunyasiri, Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger, Vincent Aleven:
Comparative Analysis of GPT-4 and Human Graders in Evaluating Praise Given to Students in Synthetic Dialogues. CoRR abs/2307.02018 (2023) - [i1]Danielle R. Thomas, Jionghao Lin, Erin Gatz, Ashish Gurung, Shivang Gupta, Kole Norberg, Stephen E. Fancsali, Vincent Aleven, Lee G. Branstetter, Emma Brunskill, Kenneth R. Koedinger:
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. CoRR abs/2312.11274 (2023) - 2022
- [c3]Danielle R. Chine, Cassandra Brentley, Carmen Thomas-Browne, J. Elizabeth Richey, Abdulmenaf Gul, Paulo F. Carvalho, Lee G. Branstetter, Kenneth R. Koedinger:
Educational Equity Through Combined Human-AI Personalization: A Propensity Matching Evaluation. AIED (1) 2022: 366-377 - [c2]Yun Huang, Steven Dang, J. Elizabeth Richey, Michael W. Asher, Nikki G. Lobczowski, Danielle R. Chine, Elizabeth A. McLaughlin, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger:
Item Response Theory-Based Gaming Detection. EDM 2022 - [c1]Danielle R. Chine, Pallavi Chhabra, Adetunji Adeniran, Shivang Gupta, Kenneth R. Koedinger:
Development of Scenario-based Mentor Lessons: An Iterative Design Process for Training at Scale. L@S 2022: 469-471
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