Benefits of Failure on Neuroplasticity and Tools for Persistence. - Masoumeh Rahimi; Lauren E. Margulieux; James Prather; Gozde Cetin Uzun; Bailey Kimmel (ICER (2), 2023)

Evaluating the Performance of Code Generation Models for Solving Parsons Problems With Small Prompt Variations. - Brent N. Reeves; Sami Sarsa; James Prather; Paul Denny 001; Brett A. Becker; Arto Hellas; Bailey Kimmel; Garrett B. Powell; Juho Leinonen 001 (ITiCSE (1), 2023)

Enhancing Programming Error Messages in Real Time with Generative AI. - Bailey Kimmel; Austin Lee Geisert; Lily Yaro; Brendan Gipson; Ronald Taylor Hotchkiss; Sidney Kwame Osae-Asante; Hunter Vaught; Grant Wininger; Chase Yamaguchi (CHI Extended Abstracts, 2024)

The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers. - James Prather; Brent N. Reeves; Juho Leinonen 001; Stephen MacNeil; Arisoa S. Randrianasolo; Brett A. Becker; Bailey Kimmel; Jared Wright; Ben Briggs (ICER (1), 2024)

Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models. - James Prather; Paul Denny 001; Juho Leinonen 001; David H. Smith IV; Brent N. Reeves; Stephen MacNeil; Brett A. Becker; Andrew Luxton-Reilly; Thezyrie Amarouche; Bailey Kimmel (CoRR, 2024)

Breaking the Programming Language Barrier: Multilingual Prompting to Empower Non-Native English Learners. - James Prather; Brent N. Reeves; Paul Denny 001; Juho Leinonen 001; Stephen MacNeil; Andrew Luxton-Reilly; João Orvalho; Amin Alipour; Ali Alfageeh; Thezyrie Amarouche; Bailey Kimmel; Jared Wright; et al. (CoRR, 2024)