Yann Hicke

According to our database, Yann Hicke authored at least 17 papers between 2022 and 2026.

Collaborative distances:

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

2026

MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Education.

Yann Hicke, Jadon Geathers, Kellen Vu, Justin Sewell, Claire Cardie, Jaideep Talwalkar, Dennis L. Shung, Anyanate Gwendolyne Jack, Susannah Cornes, Mackenzi Preston, René F. Kizilcec

Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

2025

MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Education.

Yann Hicke, Jadon Geathers, Niroop Rajashekar, Colleen E. Chan, Anyanate Gwendolyne Jack, Justin Sewell, Mackenzi Preston, Susannah Cornes, Dennis L. Shung, René F. Kizilcec

CoRR, March, 2025

Benchmarking Generative AI for Scoring Medical Student Interviews in Objective Structured Clinical Examinations (OSCEs).

Jadon Geathers, Yann Hicke, Colleen E. Chan, Niroop Rajashekar, Justin Sewell, Susannah Cornes, René F. Kizilcec, Dennis L. Shung

CoRR, January, 2025

What Medical Students Need from Simulation: Insights to Guide Scalable Learning Design.

Jadon Geathers, Yann Hicke, Naphasjutha Kongsonthana, Justin Sewell, Anyanate Gwendolyne Jack, Dennis L. Shung, MacKenzi Preston, Susannah Cornes, René F. Kizilcec

Proceedings of the Twelfth ACM Conference on Learning @ Scale, 2025

Applications of Generative AI to Support Teaching and Learning in Higher Education: A Half-Day Workshop.

René F. Kizilcec, Ryan Shaun Baker, Christopher Brooks, Jadon Geathers, Yann Hicke, Steven Moore, Bo Wu

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, 2025

Benchmarking Generative AI for Scoring Medical Student Interviews in Objective Structured Clinical Examinations (OSCEs).

Jadon Geathers, Yann Hicke, Colleen E. Chan, Niroop Rajashekar, Sarah Young, Justin Sewell, Susannah Cornes, René F. Kizilcec, Dennis L. Shung

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024

The life cycle of large language models in education: A framework for understanding sources of bias.

Jinsook Lee, Yann Hicke, Renzhe Yu, Christopher Brooks, René F. Kizilcec

Br. J. Educ. Technol., September, 2024

The Life Cycle of Large Language Models: A Review of Biases in Education.

Jinsook Lee, Yann Hicke, Renzhe Yu, Christopher Brooks, René F. Kizilcec

CoRR, 2024

Enhancing Tutoring Effectiveness Through Automated Feedback: Preliminary Findings from a Pilot Randomized Controlled Trial on SAT Tutoring.

Joy Yun, Yann Hicke, Mariah Olson, Dorottya Demszky

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

2023

Knowledge Tracing Challenge: Optimal Activity Sequencing for Students.

Yann Hicke

CoRR, 2023

ChaTA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs.

Yann Hicke, Anmol Agarwal, Qianou Ma, Paul Denny

CoRR, 2023

Automated Essay Scoring in Argumentative Writing: DeBERTeachingAssistant.

Yann Hicke, Tonghua Tian, Karan Jha, Choong Hee Kim

CoRR, 2023

From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams.

Iddo Drori, Sarah J. Zhang, Reece Shuttleworth, Sarah Zhang, Keith Tyser, Zad Chin, Pedro Lantigua, Saisamrit Surbehera, Gregory Hunter, Derek Austin, Leonard Tang, Yann Hicke, Sage Simhon, Sathwik Karnik, Darnell Granberry, Madeleine Udell

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Assessing the efficacy of large language models in generating accurate teacher responses.

Yann Hicke, Abhishek Masand, Wentao Guo, Tushaar Gangavarapu

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level.

Iddo Drori, Sarah J. Zhang, Zad Chin, Reece Shuttleworth, Albert Lu, Linda Chen, Bereket Birbo, Michele He, Pedro Lantigua, Sunny Tran, Gregory Hunter, Bo Feng, Newman Cheng, Roman Wang, Yann Hicke, Saisamrit Surbehera, Arvind Raghavan, Alexander E. Siemenn, Nikhil Singh, Jayson Lynch, Avi Shporer, Nakul Verma, Tonio Buonassisi, Armando Solar-Lezama

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark.

Vitali Petsiuk, Alexander E. Siemenn, Saisamrit Surbehera, Zad Chin, Keith Tyser, Gregory Hunter, Arvind Raghavan, Yann Hicke, Bryan A. Plummer, Ori Kerret, Tonio Buonassisi, Kate Saenko, Armando Solar-Lezama, Iddo Drori

CoRR, 2022

A Dataset and Benchmark for Automatically Answering and Generating Machine Learning Final Exams.

Sarah J. Zhang, Reece Shuttleworth, Derek Austin, Yann Hicke, Leonard Tang, Sathwik Karnik, Darnell Granberry, Iddo Drori

CoRR, 2022