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 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)

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 (EC-TEL (2), 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)