Examining Student Effort on Help through Response Time Decomposition. - Ashish Gurung; Anthony F. Botelho; Neil T. Heffernan (LAK, 2021)

Exploring Fairness in Automated Grading and Feedback Generation of Open-Response Math Problems. - Ashish Gurung; Neil T. Heffernan (AIED (2), 2022)

More Powerful A/B Testing Using Auxiliary Data and Deep Learning. - Adam Sales; Ethan Prihar; Johann Gagnon-Bartsch; Ashish Gurung; Neil T. Heffernan (AIED (2), 2022)

Considerate, Unfair, or Just Fatigued? Examining Factors that Impact Teacher. - Ashish Gurung; Anthony Botelho; Russell Thompson; Adam Sales; Sami Baral; Neil T. Heffernan (ICCE, 2022)

Investigating Patterns of Tone and Sentiment in Teacher Written Feedback Messages. - Sami Baral; Anthony F. Botelho; Abhishek Santhanam; Ashish Gurung; John A. Erickson; Neil T. Heffernan (AIED (Posters/Late Breaking Results/...), 2023)

Auto-scoring Student Responses with Images in Mathematics. - Sami Baral; Anthony Botelho; Abhishek Santhanam; Ashish Gurung; Li Cheng; Neil T. Heffernan (EDM, 2023)

Knowledge Tracing Over Time: A Longitudinal Analysis. - Morgan P. Lee; Ethan A. Croteau; Ashish Gurung; Anthony F. Botelho; Neil T. Heffernan (EDM, 2023)

Identification, Exploration, and Remediation: Can Teachers Predict Common Wrong Answers? - Ashish Gurung; Sami Baral; Kirk P. Vanacore; Andrew A. McReynolds; Hilary Kreisberg; Anthony F. Botelho; Stacy T. Shaw; Neil T. Heffernan (LAK, 2023)

Impact of Non-Cognitive Interventions on Student Learning Behaviors and Outcomes: An analysis of seven large-scale experimental inventions. - Kirk Vanacore; Ashish Gurung; Andrew A. McReynolds; Allison S. Liu; Stacy T. Shaw; Neil T. Heffernan (LAK, 2023)

How Common are Common Wrong Answers? Crowdsourcing Remediation at Scale. - Ashish Gurung; Sami Baral; Morgan P. Lee; Adam C. Sales; Aaron Haim; Kirk P. Vanacore; Andrew A. McReynolds; Hilary Kreisberg; Cristina Heffernan; Neil T. Heffernan (L@S, 2023)

Automated Assessment in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses. - Sami Baral; Eamon Worden; Wen-Chiang Lim; Zhuang Luo; Christopher Santorelli; Ashish Gurung (EDM, 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)

Multiple Choice vs. Fill-In Problems: The Trade-off Between Scalability and Learning. - Ashish Gurung; Kirk Vanacore; Andrew A. McReynolds; Korinn S. Ostrow; Eamon Worden; Adam C. Sales; Neil T. Heffernan (LAK, 2024)

Gamification and Deadending: Unpacking Performance Impacts in Algebraic Learning. - Siddhartha Pradhan; Ashish Gurung; Erin Ottmar (LAK, 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)

The Effect of Assistance on Gamers: Assessing The Impact of On-Demand Hints & Feedback Availability on Learning for Students Who Game the System. - Kirk Vanacore; Ashish Gurung; Adam Sales; Neil T. Heffernan (LAK, 2024)

MuFIN: A Framework for Automating Multimodal Feedback Generation using Generative Artificial Intelligence. - Jionghao Lin; Eason Chen; Ashish Gurung; Kenneth R. Koedinger (L@S, 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)

Automated Feedback in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses. - Sami Baral; Eamon Worden; Wen-Chiang Lim; Zhuang Luo; Christopher Santorelli; Ashish Gurung; Neil T. Heffernan (CoRR, 2024)

A comparison of machine learning algorithms for predicting student performance in an online mathematics game. - Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar (Interact. Learn. Environ., 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)

Starting Seatwork Earlier as a Valid Measure of Student Engagement. - Ashish Gurung; Jionghao Lin; Zhongtian Huang; Conrad Borchers; Ryan S. Baker 001; Vincent Aleven; 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)

Automatic Large Language Models Creation of Interactive Learning Lessons. - Jionghao Lin; Jiarui Rao; Yiyang Zhao; Yuting Wang; Ashish Gurung; Amanda Barany; Jaclyn Ocumpaugh; Ryan S. Baker 001; Kenneth R. Koedinger (CoRR, 2025)