Ashish Gurung

According to our database, Ashish Gurung authored at least 19 papers between 2021 and 2024.

Collaborative distances:

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

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

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