Stephen MacNeil

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 64

Top Topics

Computing Education

Novice Programmers

Automatically Generating

Top Venues

Creativity & Cognition

Publications

Albatool Wazzan, Stephen MacNeil, Richard Souvenir
Comparing Traditional and LLM-based Search for Image Geolocation. CHIIR (2024)
Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim
Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models. ACE (2024)
Lena Armstrong, Abbey Liu, Stephen MacNeil, Danaë Metaxa
The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiring. CoRR (2024)
Albatool Wazzan, Imtiaz Ahmad, Stephen MacNeil, Richard Souvenir
Context or Clutter? Efficiently Matching Objects Across Scenes. ICMR (2024)
James Prather, Brent N. Reeves, Juho Leinonen, Stephen MacNeil, Arisoa S. Randrianasolo, Brett A. Becker, Bailey Kimmel, Jared Wright, Ben Briggs
The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers. CoRR (2024)
Juho Leinonen, Stephen MacNeil, Paul Denny, Arto Hellas
Using Large Language Models for Teaching Computing. SIGCSE (2) (2024)
Seth Bernstein, Paul Denny, Juho Leinonen, Lauren Kan, Arto Hellas, Matt Littlefield, Sami Sarsa, Stephen MacNeil
"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students using Large Language Models. CoRR (2024)
Stephen MacNeil, Scott Spurlock, Ian Applebaum
Imagining Computing Education Assessment after Generative AI. CoRR (2024)
Seth Bernstein, Paul Denny, Juho Leinonen, Matt Littlefield, Arto Hellas, Stephen MacNeil
Analyzing Students' Preferences for LLM-Generated Analogies. ITiCSE (2) (2024)
Brent N. Reeves, James Prather, Paul Denny, Juho Leinonen, Stephen MacNeil, Brett A. Becker, Andrew Luxton-Reilly
Prompts First, Finally. CoRR (2024)
Irene Hou, Sophia Mettille, Zhuo Li, Owen Man, Cynthia Zastudil, Stephen MacNeil
The Effects of Generative AI on Computing Students' Help-Seeking Preferences. CoRR (2024)
James Prather, Paul Denny, Juho Leinonen, David H. Smith IV, Brent N. Reeves, Stephen MacNeil, Brett A. Becker, Andrew Luxton-Reilly, Thezyrie Amarouche, Bailey Kimmel
Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models. CoRR (2024)
Irene Hou, Owen Man, Sophia Mettille, Sebastian Gutierrez, Kenneth Angelikas, Stephen MacNeil
More Robots are Coming: Large Multimodal Models (ChatGPT) can Solve Visually Diverse Images of Parsons Problems. ACE (2024)
Stephen MacNeil, Juho Leinonen, Paul Denny, Natalie Kiesler, Arto Hellas, James Prather, Brett A. Becker, Michel Wermelinger, Karen Reid
Discussing the Changing Landscape of Generative AI in Computing Education. SIGCSE (2) (2024)
Seth Bernstein, Paul Denny, Juho Leinonen, Lauren Kan, Arto Hellas, Matt Littlefield, Sami Sarsa, Stephen MacNeil
"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students Using Large Language Models. ITiCSE (1) (2024)
Albatool Wazzan, Stephen MacNeil, Richard Souvenir
Comparing Traditional and LLM-based Search for Image Geolocation. CoRR (2024)
James Prather, Brent N. Reeves, Juho Leinonen, Stephen MacNeil, Arisoa S. Randrianasolo, Brett A. Becker, Bailey Kimmel, Jared Wright, Ben Briggs
The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers. ICER (1) (2024)
Irene Hou, Sophia Mettille, Owen Man, Zhuo Li, Cynthia Zastudil, Stephen MacNeil
The Effects of Generative AI on Computing Students' Help-Seeking Preferences. ACE (2024)
Paul Denny, Stephen MacNeil, Jaromír Savelka, Leo Porter, Andrew Luxton-Reilly
Desirable Characteristics for AI Teaching Assistants in Programming Education. ITiCSE (1) (2024)
Paul Denny, Stephen MacNeil, Jaromír Savelka, Leo Porter, Andrew Luxton-Reilly
Desirable Characteristics for AI Teaching Assistants in Programming Education. CoRR (2024)
James Prather, Juho Leinonen, Natalie Kiesler, Jamie Gorson Benario, Sam Lau, Stephen MacNeil, Narges Norouzi, Simone Opel, Virginia Pettit, Leo Porter, Brent N. Reeves, Jaromír Savelka, David H. Smith IV, Sven Strickroth, Daniel Zingaro
How Instructors Incorporate Generative AI into Teaching Computing. ITiCSE (2) (2024)
Stephen MacNeil, Andrew Tran, Arto Hellas, Joanne Kim, Sami Sarsa, Paul Denny, Seth Bernstein, Juho Leinonen
Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book. SIGCSE (1) (2023)
Stephen MacNeil, Ziheng Huang, Kenneth Chen, Zijian Ding, Alexander Yu, Kendall Nakai, Steven P. Dow
Freeform Templates: Combining Freeform Curation with Structured Templates. Creativity & Cognition (2023)
James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michael E. Caspersen, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Petersen, Raymond Pettit, Brent N. Reeves, Jaromír Savelka
Transformed by Transformers: Navigating the AI Coding Revolution for Computing Education: An ITiCSE Working Group Conducted by Humans. ITiCSE (2) (2023)
Ziheng Huang, Sebastian Gutierrez, Hemanth Kamana, Stephen MacNeil
Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agents. CoRR (2023)
Zijian Ding, Arvind Srinivasan, Stephen MacNeil, Joel Chan
Fluid Transformers and Creative Analogies: Exploring Large Language Models' Capacity for Augmenting Cross-Domain Analogical Creativity. CoRR (2023)
Stephen MacNeil, Andrew Tran, Juho Leinonen, Paul Denny, Joanne Kim, Arto Hellas, Seth Bernstein, Sami Sarsa
Automatically Generating CS Learning Materials with Large Language Models. SIGCSE (2) (2023)
Irene Hou, Owen Man, Sophie Mettille, Sebastian Gutierrez, Kenneth Angelikas, Stephen MacNeil
More Robots are Coming: Large Multimodal Models (ChatGPT) can Solve Visually Diverse Images of Parsons Problems. CoRR (2023)
Cynthia Zastudil, Magdalena Rogalska, Christine Kapp, Jennifer Vaughn, Stephen MacNeil
Generative AI in Computing Education: Perspectives of Students and Instructors. FIE (2023)
James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Peterson, Raymond Pettit, Brent N. Reeves, Jaromír Savelka
The Robots are Here: Navigating the Generative AI Revolution in Computing Education. CoRR (2023)
Ziheng Huang, Kexin Quan, Joel Chan, Stephen MacNeil
CausalMapper: Challenging designers to think in systems with Causal Maps and Large Language Model. Creativity & Cognition (2023)
Stephen MacNeil, Ziheng Huang, Kenneth Chen, Zijian Ding, Alex Yu, Kendall Nakai, Steven P. Dow
Freeform Templates: Combining Freeform Curation with Structured Templates. CoRR (2023)
Cynthia Zastudil, Magdalena Rogalska, Christine Kapp, Jennifer Vaughn, Stephen MacNeil
Generative AI in Computing Education: Perspectives of Students and Instructors. CoRR (2023)
Ziheng Huang, Stephen MacNeil
DesignNet: a knowledge graph representation of the conceptual design space. Creativity & Cognition (2023)
Juho Leinonen, Paul Denny, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas
Comparing Code Explanations Created by Students and Large Language Models. CoRR (2023)
Ziheng Huang, Sebastian Gutierrez, Hemanth Kamana, Stephen MacNeil
Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agents. UIST (Adjunct Volume) (2023)
Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim
Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models. CoRR (2023)
Stephen MacNeil, Andrew Tran, Joanne Kim, Ziheng Huang, Seth Bernstein, Dan Mogil
Prompt Middleware: Mapping Prompts for Large Language Models to UI Affordances. CoRR (2023)
James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Petersen, Raymond Pettit, Brent N. Reeves, Jaromír Savelka
The Robots Are Here: Navigating the Generative AI Revolution in Computing Education. ITiCSE-WGR (2023)
Juho Leinonen, Paul Denny, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas
Comparing Code Explanations Created by Students and Large Language Models. ITiCSE (1) (2023)
Andrew Tran, Kenneth Angelikas, Egi Rama, Chiku Okechukwu, David H. Smith, Stephen MacNeil
Generating Multiple Choice Questions for Computing Courses Using Large Language Models. FIE (2023)
Zijian Ding, Arvind Srinivasan, Stephen MacNeil, Joel Chan
Fluid Transformers and Creative Analogies: Exploring Large Language Models' Capacity for Augmenting Cross-Domain Analogical Creativity. Creativity & Cognition (2023)
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
The Implications of Large Language Models for CS Teachers and Students. SIGCSE (2) (2023)
Stephen MacNeil, Andrew Tran, Dan Mogil, Seth Bernstein, Erin Ross, Ziheng Huang
Generating Diverse Code Explanations using the GPT-3 Large Language Model. ICER (2) (2022)
Stephen MacNeil, Parth Patel, Benjamin E. Smolin
Expert Goggles: Detecting and Annotating Visualizations using a Machine Learning Classifier. UIST (Adjunct Volume) (2022)
Stephen MacNeil, Andrew Tran, Arto Hellas, Joanne Kim, Sami Sarsa, Paul Denny, Seth Bernstein, Juho Leinonen
Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book. CoRR (2022)
Stephen MacNeil, Andrew Tran, Juho Leinonen, Paul Denny, Joanne Kim, Arto Hellas, Seth Bernstein, Sami Sarsa
Automatically Generating CS Learning Materials with Large Language Models. CoRR (2022)
Stephen MacNeil, Joshua Withka, Aaron Wile, Parth Patel, Emily Jao, Margaret Hanley
A Context-Aware Browser Extension for Just-in-Time Learning of Data Literacy Skills. ICER (2) (2022)
Andrew Tran, Linxuan Li, Egi Rama, Kenneth Angelikas, Stephen MacNeil
Using Large Language Models to Automatically Identify Programming Concepts in Code Snippets. ICER (2) (2022)
Srishti Palani, Zijian Ding, Stephen MacNeil, Steven P. Dow
The "Active Search" Hypothesis: How Search Strategies Relate to Creative Learning. CHIIR (2021)
Stephen MacNeil, Zijian Ding, Kexin Quan, Thomas j Parashos, Yajie Sun, Steven P. Dow
Framing Creative Work: Helping Novices Frame Better Problems through Interactive Scaffolding. Creativity & Cognition (2021)
Stephen MacNeil, Zijian Ding, Kexin Quan, Ziheng Huang, Kenneth Chen, Steven P. Dow
ProbMap: Automatically constructing design galleries through feature extraction and semantic clustering. UIST (Adjunct Volume) (2021)
Srishti Palani, Zijian Ding, Austin Nguyen, Andrew Chuang, Stephen MacNeil, Steven P. Dow
CoNotate: Suggesting Queries Based on Notes Promotes Knowledge Discovery. CHI (2021)
Stephen MacNeil, Zijian Ding, Ashley Boone, Anthony Bryce Grubbs, Steven P. Dow
Finding Place in a Design Space: Challenges for Supporting Community Design Efforts at Scale. Proc. ACM Hum. Comput. Interact. 5 (CSCW1) (2021)
Stephen MacNeil, Kyle Kiefer, Brian Thompson, Dev Takle, Celine Latulipe
IneqDetect: A Visual Analytics System to Detect Conversational Inequality and Support Reflection during Active Learning. CompEd (2019)
Nasrin Dehbozorgi, Stephen MacNeil
Semi-automated Analysis of Reflections as a Continuous Course. FIE (2019)
Celine Latulipe, Stephen MacNeil, Brian Thompson
Evolving a Data Structures Class Toward Inclusive Success. FIE (2018)
Nasrin Dehbozorgi, Stephen MacNeil, Mary Lou Maher, Mohsen Dorodchi
A Comparison of Lecture-based and Active Learning Design Patterns in CS Education. FIE (2018)
Mohsen Dorodchi, Aileen Benedict, Devansh Desai, Mohammad Javad Mahzoon, Stephen MacNeil, Nasrin Dehbozorgi
Design and Implementation of an Activity-Based Introductory Computer Science Course (CS1) with Periodic Reflections Validated by Learning Analytics. FIE (2018)
Stephen MacNeil, Johanna Okerlund, Celine Latulipe
Dimensional Reasoning and Research Design Spaces. Creativity & Cognition (2017)
Stephen MacNeil, Mohsen Dorodchi, Nasrin Dehbozorgi
Using spectrums and dependency graphs to model progressions from introductory to capstone courses. FIE (2017)
Stephen MacNeil
Tools to Support Data-driven Reflective Learning. ICER (2017)
Stephen MacNeil, Celine Latulipe, N. Bruce Long, Aman Yadav
Exploring Lightweight Teams in a Distributed Learning Environment. SIGCSE (2016)
Stephen MacNeil, Celine Latulipe
Leveraging Context to Create Opportunistic Co-Located Learning Environments (Abstract Only). SIGCSE (2016)
Stephen MacNeil, Celine Latulipe, Aman Yadav
Learning in Distributed Low-Stakes Teams. ICER (2015)