Ethan Prihar

21 papers A 2B 8Journal 2Unranked 9
YearRankTypeTitle / Venue / Authors
2025 A conf
The Effect of Different Support Strategies on Student Affect.
LAK
Julie Le Tallec, Ethan Prihar, Tanja Käser
2024 — conf
An Interpretable Approach to Identify Performance Indicators Within Unstructured Learning Environments.
AIED Companion (1)
Ethan Prihar, Bahar Radmehr, Tanja Käser
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
2023 A conf
A Bandit You Can Trust.
UMAP
Ethan Prihar, Adam Sales, Neil T. Heffernan
2023 — conf
Comparing Different Approaches to Generating Mathematics Explanations Using Large Language Models.
AIED (Posters/Late Breaking Results/...)
Ethan Prihar, Morgan P. Lee, Mia Hopman, Adam Tauman Kalai, Sofia Vempala, Allison Wang, Gabriel Wickline, Aly Murray, Neil T. Heffernan
2023 B conf
Effective Evaluation of Online Learning Interventions with Surrogate Measures.
EDM
Ethan Prihar, Kirk Vanacore, Adam Sales, 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 — conf
Deep Learning or Deep Ignorance? Comparing Untrained Recurrent Models in Educational Contexts.
AIED (1)
Anthony F. Botelho, Ethan Prihar, Neil T. Heffernan
2022 B conf
Exploring Common Trends in Online Educational Experiments.
EDM
Ethan Prihar, Manaal Syed, Korinn Ostrow, Stacy T. Shaw, Adam Sales, Neil T. Heffernan
2022 B conf
Identifying Explanations Within Student-Tutor Chat Logs.
EDM
Ethan Prihar, Alexander Moore, Neil T. Heffernan
2022 — conf
More Powerful A/B Testing Using Auxiliary Data and Deep Learning.
AIED (2)
Adam Sales, Ethan Prihar, Johann Gagnon-Bartsch, Ashish Gurung, 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
2021 B conf
A Novel Algorithm for Aggregating Crowdsourced Opinions.
EDM
Ethan Prihar, Neil T. Heffernan
2021 J jnl
Classifying Math KCs via Task-Adaptive Pre-Trained BERT.
CoRR
Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee
2021 — conf
Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT.
AIED (1)
Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee
2021 B conf
Estimating the Intelligent Tutor Effects on Specific Posttest Problems.
EDM
Adam Sales, Ethan Prihar, Neil T. Heffernan, John Pane
2021 — conf
Identifying Struggling Students by Comparing Online Tutor Clickstreams.
AIED (2)
Ethan Prihar, Alexander Moore, Neil T. Heffernan
2021 J jnl
MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education.
CoRR
Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Dongwon Lee
2021 B conf
Toward Personalizing Students' Education with Crowdsourced Tutoring.
L@S
Ethan Prihar, Thanaporn Patikorn, Anthony Botelho, Adam Sales, Neil T. Heffernan
2017 — conf
Cyther: a human-playable, self-tuning robotic zither.
NIME
Scott Barton, Ethan Prihar, Paulo Carvalho