Ethan Prihar

Orcid: 0000-0002-5216-9815

According to our database1, Ethan Prihar authored at least 20 papers between 2017 and 2024.

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Bibliography

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

An Interpretable Approach to Identify Performance Indicators Within Unstructured Learning Environments.
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
A Bandit You Can Trust.
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

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

Effective Evaluation of Online Learning Interventions with Surrogate Measures.
Proceedings of the 16th International Conference on Educational Data Mining, 2023

Comparing Different Approaches to Generating Mathematics Explanations Using Large Language Models.
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.
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Exploring Common Trends in Online Educational Experiments.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

Identifying Explanations Within Student-Tutor Chat Logs.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

More Powerful A/B Testing Using Auxiliary Data and Deep Learning.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 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

Deep Learning or Deep Ignorance? Comparing Untrained Recurrent Models in Educational Contexts.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021
MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education.
CoRR, 2021

Classifying Math KCs via Task-Adaptive Pre-Trained BERT.
CoRR, 2021

Toward Personalizing Students' Education with Crowdsourced Tutoring.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Estimating the Intelligent Tutor Effects on Specific Posttest Problems.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

A Novel Algorithm for Aggregating Crowdsourced Opinions.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Identifying Struggling Students by Comparing Online Tutor Clickstreams.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2017
Cyther: a human-playable, self-tuning robotic zither.
Proceedings of the 17th International Conference on New Interfaces for Musical Expression, 2017


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