Aaron Haim

15 papers A 1B 9Unranked 5

Year	Rank	Type	Title / 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

2023 — conf

Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.

AISec

Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz

2026 — preprint

CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.

arXiv

Matti Schulze, Thorsten Holz, Felix C. Freiling