Ethan Prihar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Intelligent Tutors

Middle School Mathematics

Top Venues

Publications

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