Seth Bernstein

17 papers C 1Journal 7Unranked 9
YearRankTypeTitle / Venue / Authors
2026 — conf
Assessing the Role of Diversity in LLM Explanations for Enhancing Student Understanding.
SIGCSE (2)
Kush Patel, Seth Bernstein, Rayhana Nasimova, Paul Denny, Juho Leinonen, Stephen MacNeil
2025 — conf
Beyond the Benefits: A Systematic Review of the Harms and Consequences of Generative AI in Computing Education.
Koli Calling
Seth Bernstein, Ashfin Rahman, Nadia Sharifi, Ariunjargal Terbish, Stephen MacNeil
2025 J jnl
Beyond the Benefits: A Systematic Review of the Harms and Consequences of Generative AI in Computing Education.
CoRR
Seth Bernstein, Ashfin Rahman, Nadia Sharifi, Ariunjargal Terbish, Stephen MacNeil
2024 — conf
"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students Using Large Language Models.
ITiCSE (1)
Seth Bernstein, Paul Denny, Juho Leinonen, Lauren Kan, Arto Hellas, Matt Littlefield, Sami Sarsa, Stephen MacNeil
2024 J jnl
"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students using Large Language Models.
CoRR
Seth Bernstein, Paul Denny, Juho Leinonen, Lauren Kan, Arto Hellas, Matt Littlefield, Sami Sarsa, Stephen MacNeil
2024 — conf
Analyzing Students' Preferences for LLM-Generated Analogies.
ITiCSE (2)
Seth Bernstein, Paul Denny, Juho Leinonen, Matt Littlefield, Arto Hellas, Stephen MacNeil
2024 C conf
Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models.
ACE
Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim
2023 — conf
Automatically Generating CS Learning Materials with Large Language Models.
SIGCSE (2)
Stephen MacNeil, Andrew Tran, Juho Leinonen, Paul Denny, Joanne Kim, Arto Hellas, Seth Bernstein, Sami Sarsa
2023 — conf
Comparing Code Explanations Created by Students and Large Language Models.
ITiCSE (1)
Juho Leinonen, Paul Denny, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas
2023 J jnl
Comparing Code Explanations Created by Students and Large Language Models.
CoRR
Juho Leinonen, Paul Denny, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas
2023 J jnl
Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models.
CoRR
Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim
2023 — conf
Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book.
SIGCSE (1)
Stephen MacNeil, Andrew Tran, Arto Hellas, Joanne Kim, Sami Sarsa, Paul Denny, Seth Bernstein, Juho Leinonen
2023 J jnl
Prompt Middleware: Mapping Prompts for Large Language Models to UI Affordances.
CoRR
Stephen MacNeil, Andrew Tran, Joanne Kim, Ziheng Huang, Seth Bernstein, Dan Mogil
2023 — conf
The Implications of Large Language Models for CS Teachers and Students.
SIGCSE (2)
Stephen MacNeil, Joanne Kim, Juho Leinonen, Paul Denny, Seth Bernstein, Brett A. Becker, Michel Wermelinger, Arto Hellas, Andrew Tran, Sami Sarsa, James Prather, Viraj Kumar
2022 J jnl
Automatically Generating CS Learning Materials with Large Language Models.
CoRR
Stephen MacNeil, Andrew Tran, Juho Leinonen, Paul Denny, Joanne Kim, Arto Hellas, Seth Bernstein, Sami Sarsa
2022 J jnl
Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book.
CoRR
Stephen MacNeil, Andrew Tran, Arto Hellas, Joanne Kim, Sami Sarsa, Paul Denny, Seth Bernstein, Juho Leinonen
2022 — conf
Generating Diverse Code Explanations using the GPT-3 Large Language Model.
ICER (2)
Stephen MacNeil, Andrew Tran, Dan Mogil, Seth Bernstein, Erin Ross, Ziheng Huang