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2020 – today
- 2024
[c15]Allison Wang
, Ethan Prihar, Aaron Haim, Neil T. Heffernan:
Can Large Language Models Generate Middle School Mathematics Explanations Better Than Human Teachers? AIED Companion (2) 2024: 242-250- [c14]Aaron Haim, Eamon Worden, Neil T. Heffernan:
The Effectiveness of AI Generated, On-Demand Assistance Within Online Learning Platforms. AIED Companion (2) 2024: 369-374 - [c13]Aaron Haim, Stephen Hutt, Stacy T. Shaw, Neil T. Heffernan:
Promoting Open Science in Artificial Intelligence: An Interactive Tutorial on Licensing, Data, and Containers. AIED Companion (2) 2024: 446-451 - [c12]Aaron Haim, Stephen Hutt, Stacy T. Shaw, Neil T. Heffernan:
Promoting Open Science in Educational Data Mining: An Interactive Tutorial on Licensing, Data, and Containers. EDM 2024 - 2023
- [c11]Aaron Haim, Stacy T. Shaw, Neil T. Heffernan:
How to Open Science: Promoting Principles and Reproducibility Practices Within the Artificial Intelligence in Education Community. AIED (Posters/Late Breaking Results/...) 2023: 74-78 - [c10]Aaron Haim, Robert Gyurcsan, Chris Baxter, Stacy T. Shaw, Neil T. Heffernan:
How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference. EDM 2023 - [c9]Aaron Haim, Stacy T. Shaw, Neil T. Heffernan:
How to Open Science: Promoting Principles and Reproducibility Practices within the Educational Data Mining Community. EDM 2023 - [c8]Aaron Haim, Stacy T. Shaw, Neil T. Heffernan:
How to Open Science: A Principle and Reproducibility Review of the Learning Analytics and Knowledge Conference. LAK 2023: 156-164 - [c7]Ethan Prihar, Aaron Haim, Tracy Jia Shen, Adam Sales, Dongwon Lee, Xintao Wu, Neil T. Heffernan:
Investigating the Impact of Skill-Related Videos on Online Learning. L@S 2023: 4-13 - [c6]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: 70-80 - [c5]Aaron Haim, Chris Baxter, Robert Gyurcsan, Stacy T. Shaw, Neil T. Heffernan:
How to Open Science: Analyzing the Open Science Statement Compliance of the Learning @ Scale Conference. L@S 2023: 174-182 - [c4]Aaron Haim, Stacy T. Shaw, Neil T. Heffernan:
How to Open Science: Promoting Principles and Reproducibility Practices within the Learning @ Scale Community. L@S 2023: 248-250 - 2022
- [c3]Aaron Haim, Ethan Prihar, Neil T. Heffernan:
Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance from Educators in Online Learning Platforms. AIED (2) 2022: 29-34 - [c2]Aaron Haim, Neil T. Heffernan:
Student Perception on the Effectiveness of On-Demand Assistance in Online Learning Platforms. EDM 2022 - [c1]Ethan Prihar, Aaron Haim, Adam Sales, Neil T. Heffernan:
Automatic Interpretable Personalized Learning. L@S 2022: 1-11 - [d1]Aaron Haim, Li Cheng, Neil T. Heffernan:
ahaim5357/10.17605-osf.io-zcbjx: ASSISTments: XPRIZE Digital Learning Challenge. Zenodo, 2022
Coauthor Index
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