Ashish Gurung

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Student Learning

Teachable Agent

Multiple Choice

Top Venues

Publications

Jionghao Lin, Eason Chen, Zeifei Han, Ashish Gurung, Danielle R. Thomas, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger
How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. CoRR (2024)
Jionghao Lin, Eason Chen, Ashish Gurung, Kenneth R. Koedinger
MuFIN: A Framework for Automating Multimodal Feedback Generation using Generative Artificial Intelligence. L@S (2024)
Jionghao Lin, Zifei FeiFei Han, Danielle R. Thomas, Ashish Gurung, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger
How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses. CoRR (2024)
Ashish Gurung, Kirk Vanacore, Andrew A. McReynolds, Korinn S. Ostrow, Eamon Worden, Adam C. Sales, Neil T. Heffernan
Multiple Choice vs. Fill-In Problems: The Trade-off Between Scalability and Learning. LAK (2024)
Siddhartha Pradhan, Ashish Gurung, Erin Ottmar
Gamification and Deadending: Unpacking Performance Impacts in Algebraic Learning. LAK (2024)
Kirk Vanacore, Ashish Gurung, Adam Sales, Neil T. Heffernan
The Effect of Assistance on Gamers: Assessing The Impact of On-Demand Hints & Feedback Availability on Learning for Students Who Game the System. LAK (2024)
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
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. LAK (2024)
Zifei FeiFei Han, Jionghao Lin, Ashish Gurung, Danielle R. Thomas, Eason Chen, Conrad Borchers, Shivang Gupta, Kenneth R. Koedinger
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation. CoRR (2024)
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
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. CoRR (2023)
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
How Common are Common Wrong Answers? Crowdsourcing Remediation at Scale. L@S (2023)
Kirk Vanacore, Ashish Gurung, Andrew Mcreynolds, Allison Liu, Stacy Shaw, Neil T. Heffernan
Impact of Non-Cognitive Interventions on Student Learning Behaviors and Outcomes: An analysis of seven large-scale experimental inventions. LAK (2023)
Sami Baral, Anthony F. Botelho, Abhishek Santhanam, Ashish Gurung, John A. Erickson, Neil T. Heffernan
Investigating Patterns of Tone and Sentiment in Teacher Written Feedback Messages. AIED (Posters/Late Breaking Results/...) (2023)
Sami Baral, Anthony Botelho, Abhishek Santhanam, Ashish Gurung, Li Cheng, Neil T. Heffernan
Auto-scoring Student Responses with Images in Mathematics. EDM (2023)
Morgan P. Lee, Ethan A. Croteau, Ashish Gurung, Anthony F. Botelho, Neil T. Heffernan
Knowledge Tracing Over Time: A Longitudinal Analysis. EDM (2023)
Ashish Gurung, Sami Baral, Kirk P. Vanacore, Andrew A. Mcreynolds, Hilary Kreisberg, Anthony F. Botelho, Stacy T. Shaw, Neil T. Heffernan
Identification, Exploration, and Remediation: Can Teachers Predict Common Wrong Answers? LAK (2023)
Adam Sales, Ethan Prihar, Johann Gagnon-Bartsch, Ashish Gurung, Neil T. Heffernan
More Powerful A/B Testing Using Auxiliary Data and Deep Learning. AIED (2) (2022)
Ashish Gurung, Neil T. Heffernan
Exploring Fairness in Automated Grading and Feedback Generation of Open-Response Math Problems. AIED (2) (2022)
Ashish Gurung, Anthony F. Botelho, Neil T. Heffernan
Examining Student Effort on Help through Response Time Decomposition. LAK (2021)