Aaron Haim

According to our database, Aaron Haim authored at least 11 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Investigating the Impact of Skill-Related Videos on Online Learning.

Ethan Prihar, Aaron Haim, Tracy Jia Shen, Adam Sales, Dongwon Lee, Xintao Wu, Neil T. Heffernan

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

How to Open Science: Promoting Principles and Reproducibility Practices within the Learning @ Scale Community.

Aaron Haim, Stacy T. Shaw, Neil T. Heffernan

Proceedings of the Tenth ACM Conference on Learning @ Scale, 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

Proceedings of the Tenth ACM Conference on Learning @ Scale, 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

Proceedings of the Tenth ACM Conference on Learning @ Scale, 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

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

How to Open Science: Promoting Principles and Reproducibility Practices within the Educational Data Mining Community.

Aaron Haim, Stacy T. Shaw, Neil T. Heffernan

Proceedings of the 16th International Conference on Educational Data Mining, 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

Proceedings of the 16th International Conference on Educational Data Mining, 2023

How to Open Science: Promoting Principles and Reproducibility Practices Within the Artificial Intelligence in Education Community.

Aaron Haim, Stacy T. Shaw, Neil T. Heffernan

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

Automatic Interpretable Personalized Learning.

Ethan Prihar, Aaron Haim, Adam Sales, Neil T. Heffernan

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Student Perception on the Effectiveness of On-Demand Assistance in Online Learning Platforms.

Aaron Haim, Neil T. Heffernan

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance from Educators in Online Learning Platforms.

Aaron Haim, Ethan Prihar, Neil T. Heffernan

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022