Aaron Haim

Orcid: 0000-0002-9287-4201

According to our database1, Aaron Haim authored at least 16 papers between 2022 and 2024.

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Bibliography

2024
Promoting Open Science in Educational Data Mining: An Interactive Tutorial on Licensing, Data, and Containers.
Proceedings of the 17th International Conference on Educational Data Mining, 2024

Can Large Language Models Generate Middle School Mathematics Explanations Better Than Human Teachers?
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, 2024

The Effectiveness of AI Generated, On-Demand Assistance Within Online Learning Platforms.
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, 2024

Promoting Open Science in Artificial Intelligence: An Interactive Tutorial on Licensing, Data, and Containers.
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, 2024

2023
Investigating the Impact of Skill-Related Videos on Online Learning.
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

How to Open Science: Promoting Principles and Reproducibility Practices within the Learning @ Scale Community.
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.
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

How Common are Common Wrong Answers? Crowdsourcing Remediation at Scale.
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.
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.
Proceedings of the 16th International Conference on Educational Data Mining, 2023

How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference.
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.
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
ahaim5357/10.17605-osf.io-zcbjx: ASSISTments: XPRIZE Digital Learning Challenge.
Dataset, July, 2022

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


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