Danielle R. Thomas

According to our database, Danielle R. Thomas authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation.

Zifei FeiFei Han, Jionghao Lin, Ashish Gurung, Danielle R. Thomas, Eason Chen, Conrad Borchers, Shivang Gupta, Kenneth R. Koedinger

CoRR, 2024

Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors.

Sanjit Kakarla, Danielle Thomas, Jionghao Lin, Shivang Gupta, Kenneth R. Koedinger

CoRR, 2024

Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation.

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

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2023

Using latent variable models to make gaming-the-system detection robust to context variations.

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

User Model. User Adapt. Interact., November, 2023

Comparative Analysis of GPT-4 and Human Graders in Evaluating Praise Given to Students in Synthetic Dialogues.

Dollaya Hirunyasiri, Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger, Vincent Aleven

CoRR, 2023

When the Tutor Becomes the Student: Design and Evaluation of Efficient Scenario-based Lessons for Tutors.

Danielle Thomas, Xinyu Yang, Shivang Gupta, Adetunji Adeniran, Elizabeth A. McLaughlin, Kenneth R. Koedinger

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons.

Danielle R. Thomas, Shivang Gupta, Kenneth R. Koedinger

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

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

Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, 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), 2023

Comparative Analysis of GPT-4 and Human Graders in Evaluating Human Tutors Giving Praise to Students.

Dollaya Hirunyasiri, Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger, Vincent Aleven

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), 2023

Towards the Future of AI-Augmented Human Tutoring in Math Learning.

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

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

Development of Scenario-based Mentor Lessons: An Iterative Design Process for Training at Scale.

Danielle R. Chine, Pallavi Chhabra, Adetunji Adeniran, Shivang Gupta, Kenneth R. Koedinger

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Item Response Theory-Based Gaming Detection.

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

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Educational Equity Through Combined Human-AI Personalization: A Propensity Matching Evaluation.

Danielle R. Chine, Cassandra Brentley, Carmen Thomas-Browne, J. Elizabeth Richey, Abdulmenaf Gul, Paulo F. Carvalho, Lee G. Branstetter, Kenneth R. Koedinger

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022