Aaron Haim

15 papers A 1B 9Unranked 5
YearRankTypeTitle / Venue / Authors
2024 — conf
Can Large Language Models Generate Middle School Mathematics Explanations Better Than Human Teachers?
AIED Companion (2)
Allison Wang, Ethan Prihar, Aaron Haim, Neil T. Heffernan
2024 — conf
Promoting Open Science in Artificial Intelligence: An Interactive Tutorial on Licensing, Data, and Containers.
AIED Companion (2)
Aaron Haim, Stephen Hutt, Stacy T. Shaw, Neil T. Heffernan
2024 B conf
Promoting Open Science in Educational Data Mining: An Interactive Tutorial on Licensing, Data, and Containers.
EDM
Aaron Haim, Stephen Hutt, Stacy T. Shaw, Neil T. Heffernan
2024 — conf
The Effectiveness of AI Generated, On-Demand Assistance Within Online Learning Platforms.
AIED Companion (2)
Aaron Haim, Eamon Worden, Neil T. Heffernan
2023 B conf
How Common are Common Wrong Answers? Crowdsourcing Remediation at Scale.
L@S
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
2023 A conf
How to Open Science: A Principle and Reproducibility Review of the Learning Analytics and Knowledge Conference.
LAK
Aaron Haim, Stacy T. Shaw, Neil T. Heffernan
2023 B conf
How to Open Science: Analyzing the Open Science Statement Compliance of the Learning @ Scale Conference.
L@S
Aaron Haim, Chris Baxter, Robert Gyurcsan, Stacy T. Shaw, Neil T. Heffernan
2023 B conf
How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference.
EDM
Aaron Haim, Robert Gyurcsan, Chris Baxter, Stacy T. Shaw, Neil T. Heffernan
2023 — conf
How to Open Science: Promoting Principles and Reproducibility Practices Within the Artificial Intelligence in Education Community.
AIED (Posters/Late Breaking Results/...)
Aaron Haim, Stacy T. Shaw, Neil T. Heffernan
2023 B conf
How to Open Science: Promoting Principles and Reproducibility Practices within the Educational Data Mining Community.
EDM
Aaron Haim, Stacy T. Shaw, Neil T. Heffernan
2023 B conf
How to Open Science: Promoting Principles and Reproducibility Practices within the Learning @ Scale Community.
L@S
Aaron Haim, Stacy T. Shaw, Neil T. Heffernan
2023 B conf
Investigating the Impact of Skill-Related Videos on Online Learning.
L@S
Ethan Prihar, Aaron Haim, Tracy Jia Shen, Adam Sales, Dongwon Lee, Xintao Wu, Neil T. Heffernan
2022 B conf
Automatic Interpretable Personalized Learning.
L@S
Ethan Prihar, Aaron Haim, Adam Sales, Neil T. Heffernan
2022 B conf
Student Perception on the Effectiveness of On-Demand Assistance in Online Learning Platforms.
EDM
Aaron Haim, Neil T. Heffernan
2022 — conf
Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance from Educators in Online Learning Platforms.
AIED (2)
Aaron Haim, Ethan Prihar, Neil T. Heffernan