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 (AIED (1), 2022)

Item Response Theory-Based Gaming Detection. - Yun Huang 002; 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 (EDM, 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 (L@S, 2022)

Towards the Future of AI-Augmented Human Tutoring in Math Learning. - Vincent Aleven; Richard G. Baraniuk; Emma Brunskill; Scott A. Crossley; Dora Demszky; Stephen Fancsali; Shivang Gupta; Kenneth R. Koedinger; Chris Piech; Steven Ritter 001; Danielle R. Thomas; Simon Woodhead 002; et al. (AIED (Posters/Late Breaking Results/...), 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 (Human-AI Math Tutoring@AIED, 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 (Human-AI Math Tutoring@AIED, 2023)

Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons. - Danielle R. Thomas; Shivang Gupta; Kenneth R. Koedinger (AIED (Posters/Late Breaking Results/...), 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 (LAK, 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)

Using latent variable models to make gaming-the-system detection robust to context variations. - Yun Huang 002; 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., 2023)

The Neglected 15%: Positive Effects of Hybrid Human-AI Tutoring Among Students with Disabilities. - Danielle R. Thomas; Erin Gatz; Shivang Gupta; Vincent Aleven; Kenneth R. Koedinger (AIED (1), 2024)

How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. - Jionghao Lin; Eason Chen; Zifei FeiFei Han; Ashish Gurung; Danielle R. Thomas; Wei Tan; Ngoc Dang Nguyen; Kenneth R. Koedinger (EDM, 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 (LAK, 2024)

Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk. - Danielle R. Thomas; Jionghao Lin; Shambhavi Bhushan; Ralph Abboud; Erin Gatz; Shivang Gupta; Kenneth R. Koedinger (L@S, 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 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)

How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. - Jionghao Lin; Eason Chen; Zeifei Han; Ashish Gurung; Danielle R. Thomas; Wei Tan; Ngoc Dang Nguyen; Kenneth R. Koedinger (CoRR, 2024)

How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses. - Jionghao Lin; Zifei FeiFei Han; Danielle R. Thomas; Ashish Gurung; Shivang Gupta; Vincent Aleven; Kenneth R. Koedinger (CoRR, 2024)

Human Tutoring Improves the Impact of AI Tutor Use on Learning Outcomes. - Ashish Gurung; Jionghao Lin; Jordan Gutterman; Danielle R. Thomas; Alex Houk; Shivang Gupta; Emma Brunskill; Lee G. Branstetter; Vincent Aleven; Kenneth R. Koedinger (AIED (4), 2025)

Improving Open-Response Assessment with LearnLM. - Danielle R. Thomas; Conrad Borchers; Shambhavi Bhushan; Sanjit Kakarla; Alex Houk; Ralph Abboud; Shivang Gupta; Erin Gatz; Kenneth R. Koedinger (AIED (5), 2025)

Does Multiple Choice Have a Future in the Age of Generative AI? A Posttest-only RCT. - Danielle R. Thomas; Conrad Borchers; Sanjit Kakarla; Jionghao Lin; Shambhavi Bhushan; Boyuan Guo; Erin Gatz; Kenneth R. Koedinger (LAK, 2025)

Do Tutors Learn from Equity Training and Can Generative AI Assess It? - Danielle R. Thomas; Conrad Borchers; Sanjit Kakarla; Jionghao Lin; Shambhavi Bhushan; Boyuan Guo; Erin Gatz; Kenneth R. Koedinger (LAK, 2025)

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training. - Sanjit Kakarla; Conrad Borchers; Danielle Thomas; Shambhavi Bhushan; Kenneth R. Koedinger (CoRR, 2025)

Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment. - Conrad Borchers; Danielle R. Thomas; Jionghao Lin; Ralph Abboud; Kenneth R. Koedinger (CoRR, 2025)

How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses. - Jionghao Lin; Zifei Han; Danielle R. Thomas; Ashish Gurung; Shivang Gupta; Vincent Aleven; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2025)

LLM-Generated Feedback Supports Learning If Learners Choose to Use It. - Danielle R. Thomas; Conrad Borchers; Shambhavi Bhushan; Erin Gatz; Shivang Gupta; Kenneth R. Koedinger (CoRR, 2025)

Detecting LLM-Generated Short Answers and Effects on Learner Performance. - Shambhavi Bhushan; Danielle R. Thomas; Conrad Borchers; Isha Raghuvanshi; Ralph Abboud; Erin Gatz; Shivang Gupta; Kenneth R. Koedinger (CoRR, 2025)

Leveraging LLMs to Assess Tutor Moves in Real-Life Dialogues: A Feasibility Study. - Danielle R. Thomas; Conrad Borchers; Jionghao Lin; Sanjit Kakarla; Shambhavi Bhushan; Erin Gatz; Shivang Gupta; Ralph Abboud; Kenneth R. Koedinger (CoRR, 2025)