Ashish Gurung

According to our database, Ashish Gurung authored at least 35 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Improving Hybrid Human-AI Tutoring by Differentiating Human Tutor Roles Based on Student Needs.

Ashish Gurung, Ge Gao, Jordan Gutterman, Danielle R. Thomas, Shivang Gupta, Lee G. Branstetter, Emma Brunskill, Vincent Aleven, Kenneth R. Koedinger

CoRR, May, 2026

Representation Learning to Study Temporal Dynamics in Tutorial Scaffolding.

Conrad Borchers, Jiayi Zhang, Ashish Gurung

CoRR, March, 2026

A Large Scale Randomized Control Trial Showing LLM Generated Feedback Helps Low-Knowledge Middle School Math Students with Short-Term Learning.

Eamon Worden, Luca Dang, Wen-Chiang Ivan Lim, Sarah Miller, Jiayi Zhang, Aaron Haim, Adam Sales, Ashish Gurung, Neil T. Heffernan

Proceedings of the Thirteenth ACM Conference on Learning @ Scale, 2026

Students Who Choose to Challenge Themselves Perform Better.

Jiaqi Linna Niu, Ashish Gurung

Proceedings of the Thirteenth ACM Conference on Learning @ Scale, 2026

Coasting Through Class: Learning Opportunity Loss from Practice Avoidance During Individual Seatwork.

Ashish Gurung, Jordan Gutterman, Danielle R. Thomas, Mingyu Feng, Vincent Aleven, Kenneth R. Koedinger

Proceedings of the Thirteenth ACM Conference on Learning @ Scale, 2026

Let Me Try Again: Examining Replay Behavior by Tracing Students' Latent Problem-Solving Pathways.

Shan Zhang, Siddhartha Pradhan, Ji-Eun Lee, Ashish Gurung, Anthony F. Botelho

Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

Sticky Help, Bounded Effects: Session-by-Session Analytics of Teacher Interventions in K-12 Classrooms.

Qiao Jin, Conrad Borchers, Ashish Gurung, Sean Jackson, Sameeksha Agarwal, Cancan Wang, YiChen Yu, Pragati Maheshwary, Vincent Aleven

Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

Brief but Impactful: How Human Tutoring Interactions Shape Engagement in Online Learning.

Conrad Borchers, Ashish Gurung, Qinyi Liu, Danielle R. Thomas, Mohammad Khalil, Kenneth R. Koedinger

Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

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, Kenneth R. Koedinger

CoRR, June, 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., June, 2025

Starting Seatwork Earlier as a Valid Measure of Student Engagement.

Ashish Gurung, Jionghao Lin, Zhongtian Huang, Conrad Borchers, Ryan Baker, Vincent Aleven, Kenneth R. Koedinger

Proceedings of the 18th International Conference on Educational Data Mining, 2025

Automatic Large Language Models Creation of Interactive Learning Lessons.

Jionghao Lin, Jiarui Rao, Sandy Yiyang Zhao, Yuting Wang, Ashish Gurung, Amanda Barany, Jaclyn Ocumpaugh, Ryan S. Baker, Kenneth R. Koedinger

Proceedings of the Two Decades of TEL. From Lessons Learnt to Challenges Ahead, 2025

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

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

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., October, 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

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

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

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

MuFIN: A Framework for Automating Multimodal Feedback Generation using Generative Artificial Intelligence.

Jionghao Lin, Eason Chen, Ashish Gurung, Kenneth R. Koedinger

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 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

Proceedings of the 14th Learning Analytics and Knowledge Conference, 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

Gamification and Deadending: Unpacking Performance Impacts in Algebraic Learning.

Siddhartha Pradhan, Ashish Gurung, Erin Ottmar

Proceedings of the 14th Learning Analytics and Knowledge Conference, 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

Proceedings of the 14th Learning Analytics and Knowledge Conference, 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

Proceedings of the 17th International Conference on Educational Data Mining, 2024

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

Proceedings of the 17th International Conference on Educational Data Mining, 2024

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

Proceedings of the Tenth ACM Conference on Learning @ Scale, 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

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

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

Knowledge Tracing Over Time: A Longitudinal Analysis.

Morgan P. Lee, Ethan A. Croteau, Ashish Gurung, Anthony F. Botelho, Neil T. Heffernan

Proceedings of the 16th International Conference on Educational Data Mining, 2023

Auto-scoring Student Responses with Images in Mathematics.

Sami Baral, Anthony Botelho, Abhishek Santhanam, Ashish Gurung, Li Cheng, Neil T. Heffernan

Proceedings of the 16th International Conference on Educational Data Mining, 2023

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

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

Considerate, Unfair, or Just Fatigued? Examining Factors that Impact Teacher.

Ashish Gurung, Anthony Botelho, Russell Thompson, Adam Sales, Sami Baral, Neil T. Heffernan

Proceedings of the Proceeding of the 30th International Conference on Computers in Education, 2022

More Powerful A/B Testing Using Auxiliary Data and Deep Learning.

Adam Sales, Ethan Prihar, Johann Gagnon-Bartsch, Ashish Gurung, Neil T. Heffernan

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Exploring Fairness in Automated Grading and Feedback Generation of Open-Response Math Problems.

Ashish Gurung, Neil T. Heffernan

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021

Examining Student Effort on Help through Response Time Decomposition.

Ashish Gurung, Anthony F. Botelho, Neil T. Heffernan

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021