Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance from Educators in Online Learning Platforms. - Aaron Haim; Ethan Prihar; Neil T. Heffernan (AIED (2), 2022)

Student Perception on the Effectiveness of On-Demand Assistance in Online Learning Platforms. - Aaron Haim; Neil T. Heffernan (EDM, 2022)

Automatic Interpretable Personalized Learning. - Ethan Prihar; Aaron Haim; Adam Sales; Neil T. Heffernan (L@S, 2022)

ahaim5357/10.17605-osf.io-zcbjx: ASSISTments: XPRIZE Digital Learning Challenge. - Aaron Haim; Li Cheng; Neil T. Heffernan (Zenodo, 2022)

How to Open Science: Promoting Principles and Reproducibility Practices Within the Artificial Intelligence in Education Community. - Aaron Haim; Stacy T. Shaw; Neil T. Heffernan (AIED (Posters/Late Breaking Results/...), 2023)

How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference. - Aaron Haim; Robert Gyurcsan; Chris Baxter; Stacy T. Shaw; Neil T. Heffernan (EDM, 2023)

How to Open Science: Promoting Principles and Reproducibility Practices within the Educational Data Mining Community. - Aaron Haim; Stacy T. Shaw; Neil T. Heffernan (EDM, 2023)

How to Open Science: A Principle and Reproducibility Review of the Learning Analytics and Knowledge Conference. - Aaron Haim; Stacy T. Shaw; Neil T. Heffernan (LAK, 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 (L@S, 2023)

How to Open Science: Analyzing the Open Science Statement Compliance of the Learning @ Scale Conference. - Aaron Haim; Chris Baxter; Robert Gyurcsan; Stacy T. Shaw; Neil T. Heffernan (L@S, 2023)

How to Open Science: Promoting Principles and Reproducibility Practices within the Learning @ Scale Community. - Aaron Haim; Stacy T. Shaw; Neil T. Heffernan (L@S, 2023)

Investigating the Impact of Skill-Related Videos on Online Learning. - Ethan Prihar; Aaron Haim; Tracy Jia Shen; Adam Sales; Dongwon Lee 001; Xintao Wu; Neil T. Heffernan (L@S, 2023)

Promoting Open Science in Artificial Intelligence: An Interactive Tutorial on Licensing, Data, and Containers. - Aaron Haim; Stephen Hutt; Stacy T. Shaw; Neil T. Heffernan (AIED Companion (2), 2024)

The Effectiveness of AI Generated, On-Demand Assistance Within Online Learning Platforms. - Aaron Haim; Eamon Worden; Neil T. Heffernan (AIED Companion (2), 2024)

Can Large Language Models Generate Middle School Mathematics Explanations Better Than Human Teachers? - Allison Wang; Ethan Prihar; Aaron Haim; Neil T. Heffernan (AIED Companion (2), 2024)

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 (EDM, 2024)