Ethan Prihar

According to our database, Ethan Prihar authored at least 18 papers between 2017 and 2023.

Collaborative distances:

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

2023

A Bandit You Can Trust.

Ethan Prihar, Adam Sales, Neil T. Heffernan

Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 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

Effective Evaluation of Online Learning Interventions with Surrogate Measures.

Ethan Prihar, Kirk Vanacore, Adam Sales, Neil T. Heffernan

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

Comparing Different Approaches to Generating Mathematics Explanations Using Large Language Models.

Ethan Prihar, Morgan P. Lee, Mia Hopman, Adam Tauman Kalai, Sofia Vempala, Allison Wang, Gabriel Wickline, Aly Murray, 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

Exploring Common Trends in Online Educational Experiments.

Ethan Prihar, Manaal Syed, Korinn Ostrow, Stacy T. Shaw, Adam Sales, Neil Heffernan

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

Identifying Explanations Within Student-Tutor Chat Logs.

Ethan Prihar, Alexander Moore, Neil T. Heffernan

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

More Powerful A/B Testing Using Auxiliary Data and Deep Learning.

Adam Sales, Ethan Prihar, Johann Gagnon-Bartsch, Ashish Gurung, 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

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

Deep Learning or Deep Ignorance? Comparing Untrained Recurrent Models in Educational Contexts.

Anthony F. Botelho, Ethan Prihar, Neil T. Heffernan

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.

Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Dongwon Lee

CoRR, 2021

Classifying Math KCs via Task-Adaptive Pre-Trained BERT.

Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee

CoRR, 2021

Toward Personalizing Students' Education with Crowdsourced Tutoring.

Ethan Prihar, Thanaporn Patikorn, Anthony Botelho, Adam Sales, Neil T. Heffernan

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Estimating the Intelligent Tutor Effects on Specific Posttest Problems.

Adam Sales, Ethan Prihar, Neil T. Heffernan, John Pane

Proceedings of the 14th International Conference on Educational Data Mining, 2021

A Novel Algorithm for Aggregating Crowdsourced Opinions.

Ethan Prihar, Neil T. Heffernan

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT.

Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Identifying Struggling Students by Comparing Online Tutor Clickstreams.

Ethan Prihar, Alexander Moore, Neil T. Heffernan

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2017

Cyther: a human-playable, self-tuning robotic zither.

Scott Barton, Ethan Prihar, Paulo Carvalho

Proceedings of the 17th International Conference on New Interfaces for Musical Expression, 2017