Owen Henkel

According to our database, Owen Henkel authored at least 16 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Math-LLMs: AI Cyberinfrastructure with Pre-trained Transformers for Math Education.

Fan Zhang, Chenglu Li, Owen Henkel, Wanli Xing, Sami Baral, Neil T. Heffernan, Hai Li

Int. J. Artif. Intell. Educ., June, 2025

Can LLMs Grade Open Response Reading Comprehension Questions? An Empirical Study Using the ROARs Dataset.

Owen Henkel, Libby Hills, Bill Roberts, Joshua A. McGrane

Int. J. Artif. Intell. Educ., June, 2025

Supporting Literacy Assessment in West Africa: Using State-of-the-Art Speech Models to Assess Oral Reading Fluency.

Owen Henkel, Hannah Horne-Robinson, Libby Hills, Bill Roberts, Joshua A. McGrane

Int. J. Artif. Intell. Educ., March, 2025

Learning to Love LLMs for Answer Interpretation: Chain-of-Thought Prompting and the AMMORE Dataset.

Owen Henkel, Hannah Horne-Robinson, Maria Dyshel, Greg Thompson, Ralph Abboud, Nabil Al Nahin Ch, Baptiste Moreau-Pernet, Kirk Vanacore

J. Learn. Anal., 2025

How Much Mastery is Enough Mastery? The Relationship between Mastery in a Lesson and the Performance on the Subsequent Lesson.

Jiayi Zhang, Kirk Vanacore, Ryan S. Baker, Nabil Ch, Caitlin Mills, Owen Henkel

Proceedings of the 18th International Conference on Educational Data Mining, 2025

2024

Learning to Love Edge Cases in Formative Math Assessment: Using the AMMORE Dataset and Chain-of-Thought Prompting to Improve Grading Accuracy.

Owen Henkel, Hannah Horne-Robinson, Maria Dyshel, Nabil Ch, Baptiste Moreau-Pernet, Ralph Abood

CoRR, 2024

Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability to Mark Short Answer Questions in K-12 Education.

Owen Henkel, Adam Boxer, Libby Hills, Bill Roberts

CoRR, 2024

Effective and Scalable Math Support: Evidence on the Impact of an AI- Tutor on Math Achievement in Ghana.

Owen Henkel, Hannah Horne-Robinson, Nessie Kozhakhmetova, Amanda Lee

CoRR, 2024

Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability To Mark Short Answer Questions in K-12 Education.

Owen Henkel, Libby Hills, Adam Boxer, Bill Roberts, Zachary Levonian

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Safe Generative Chats in a WhatsApp Intelligent Tutoring System.

Zachary Levonian, Owen Henkel

Proceedings of the Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), 2024

Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference.

Owen Henkel, Zachary Levonian, Chenglu Li, Millie-Ellen Postle

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Effective and Scalable Math Support: Experimental Evidence on the Impact of an AI-Math Tutor in Ghana.

Owen Henkel, Hannah Horne-Robinson, Nessie Kozhakhmetova, Amanda Lee

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

Can LLMs Grade Short-answer Reading Comprehension Questions : Foundational Literacy Assessment in LMICs.

Owen Henkel, Libby Hills, Bill Roberts, Joshua A. McGrane

CoRR, 2023

Using State-of-the-Art Speech Models to Evaluate Oral Reading Fluency in Ghana.

Owen Henkel, Hannah Horne-Robinson, Libby Hills, Bill Roberts, Joshua A. McGrane

CoRR, 2023

Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference.

Zachary Levonian, Chenglu Li, Wangda Zhu, Anoushka Gade, Owen Henkel, Millie-Ellen Postle, Wanli Xing

CoRR, 2023

Leveraging Human Feedback to Scale Educational Datasets: Combining Crowdworkers and Comparative Judgement.

Owen Henkel, Libby Hills

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023