| 2024 | AIED | Promoting Open Science in Artificial Intelligence: An Interactive Tutorial on Licensing, Data, and Containers. | Aaron Haim, Stephen Hutt, Stacy T. Shaw, Neil T. Heffernan |
| 2024 | AIED | The Effectiveness of AI Generated, On-Demand Assistance Within Online Learning Platforms. | Aaron Haim, Eamon Worden, Neil T. Heffernan |
| 2024 | AIED | Can Large Language Models Generate Middle School Mathematics Explanations Better Than Human Teachers? | Allison Wang, Ethan Prihar, Aaron Haim, Neil T. Heffernan |
| 2024 | EDM | Promoting Open Science in Educational Data Mining: An Interactive Tutorial on Licensing, Data, and Containers. | Aaron Haim, Stephen Hutt, Stacy T. Shaw, Neil T. Heffernan |
| 2023 | AIED | How to Open Science: Promoting Principles and Reproducibility Practices Within the Artificial Intelligence in Education Community. | Aaron Haim, Stacy T. Shaw, Neil T. Heffernan |
| 2023 | EDM | How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference. | Aaron Haim, Robert Gyurcsan, Chris Baxter, Stacy T. Shaw, Neil T. Heffernan |
| 2023 | EDM | How to Open Science: Promoting Principles and Reproducibility Practices within the Educational Data Mining Community. | Aaron Haim, Stacy T. Shaw, Neil T. Heffernan |
| 2023 | LAK | How to Open Science: A Principle and Reproducibility Review of the Learning Analytics and Knowledge Conference. | Aaron Haim, Stacy T. Shaw, Neil T. Heffernan |
| 2022 | AIED | Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance from Educators in Online Learning Platforms. | Aaron Haim, Ethan Prihar, Neil T. Heffernan |
| 2022 | EDM | Student Perception on the Effectiveness of On-Demand Assistance in Online Learning Platforms. | Aaron Haim, Neil T. Heffernan |