Generating Diverse Code Explanations using the GPT-3 Large Language Model. - Stephen MacNeil; Andrew Tran; Dan Mogil; Seth Bernstein; Erin Ross; Ziheng Huang (ICER (2), 2022)

Comparing Code Explanations Created by Students and Large Language Models. - Juho Leinonen 001; Paul Denny 001; Stephen MacNeil; Sami Sarsa; Seth Bernstein; Joanne Kim; Andrew Tran; Arto Hellas (ITiCSE (1), 2023)

The Implications of Large Language Models for CS Teachers and Students. - Stephen MacNeil; Joanne Kim; Juho Leinonen 001; Paul Denny 001; Seth Bernstein; Brett A. Becker; Michel Wermelinger; Arto Hellas; Andrew Tran; Sami Sarsa; James Prather; Viraj Kumar (SIGCSE (2), 2023)

Automatically Generating CS Learning Materials with Large Language Models. - Stephen MacNeil; Andrew Tran; Juho Leinonen 001; Paul Denny 001; Joanne Kim; Arto Hellas; Seth Bernstein; Sami Sarsa (SIGCSE (2), 2023)

Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book. - Stephen MacNeil; Andrew Tran; Arto Hellas; Joanne Kim; Sami Sarsa; Paul Denny 001; Seth Bernstein; Juho Leinonen 001 (SIGCSE (1), 2023)

Prompt Middleware: Mapping Prompts for Large Language Models to UI Affordances. - Stephen MacNeil; Andrew Tran; Joanne Kim; Ziheng Huang; Seth Bernstein; Dan Mogil (CoRR, 2023)

Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models. - Stephen MacNeil; Paul Denny 001; Andrew Tran; Juho Leinonen 001; Seth Bernstein; Arto Hellas; Sami Sarsa; Joanne Kim (ACE, 2024)

"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students Using Large Language Models. - Seth Bernstein; Paul Denny 001; Juho Leinonen 001; Lauren Kan; Arto Hellas; Matt Littlefield; Sami Sarsa; Stephen MacNeil (ITiCSE (1), 2024)

Analyzing Students' Preferences for LLM-Generated Analogies. - Seth Bernstein; Paul Denny 001; Juho Leinonen 001; Matt Littlefield; Arto Hellas; Stephen MacNeil (ITiCSE (2), 2024)