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2020 – today
- 2024
[c47]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: 11-18- [c46]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: 29-38 - [c45]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: 39-48 - [c44]Cynthia Zastudil, Christine Holyfield, June A. Smith, Hannah Vy Nguyen, Stephen MacNeil:
Predictive Anchoring: A Novel Interaction to Support Contextualized Suggestions for Grid Displays. ASSETS 2024: 94:1-94:6 - [c43]Cynthia Zastudil, Christine Holyfield, Christine Kapp, Xandria Crosland, Elizabeth R. Lorah, Tara Zimmerman, Stephen MacNeil:
Exploring the use of Generative AI to Support Automated Just-in-Time Programming for Visual Scene Displays. ASSETS 2024: 95:1-95:6 - [c42]Albatool Wazzan, Stephen MacNeil, Richard Souvenir:
Comparing Traditional and LLM-based Search for Image Geolocation. CHIIR 2024: 291-302 - [c41]Lena Armstrong, Abbey Liu, Stephen MacNeil, Danaë Metaxa:
The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiring. EAAMO 2024: 2:1-2:18 - [c40]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: 469-486 - [c39]Paul Denny, Stephen MacNeil, Jaromír Savelka, Leo Porter, Andrew Luxton-Reilly:
Desirable Characteristics for AI Teaching Assistants in Programming Education. ITiCSE (1) 2024 - [c38]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 - [c37]Seth Bernstein, Paul Denny, Juho Leinonen, Matt Littlefield, Arto Hellas, Stephen MacNeil:
Analyzing Students' Preferences for LLM-Generated Analogies. ITiCSE (2) 2024 - [c36]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 - [c35]Albatool Wazzan, Imtiaz Ahmad, Stephen MacNeil, Richard Souvenir:
Context or Clutter? Efficiently Matching Objects Across Scenes. ICMR 2024: 404-413 - [c34]Juho Leinonen, Stephen MacNeil, Paul Denny, Arto Hellas:
Using Large Language Models for Teaching Computing. SIGCSE (2) 2024: 1901 - [c33]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: 1916 - [i24]Irene Hou, Sophia Mettille, Zhuo Li, Owen Man, Cynthia Zastudil, Stephen MacNeil:
The Effects of Generative AI on Computing Students' Help-Seeking Preferences. CoRR abs/2401.02262 (2024) - [i23]Stephen MacNeil, Scott Spurlock, Ian Applebaum:
Imagining Computing Education Assessment after Generative AI. CoRR abs/2401.04601 (2024) - [i22]Albatool Wazzan, Stephen MacNeil, Richard Souvenir:
Comparing Traditional and LLM-based Search for Image Geolocation. CoRR abs/2401.10184 (2024) - [i21]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 abs/2401.10759 (2024) - [i20]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 abs/2403.09409 (2024) - [i19]Lena Armstrong, Abbey Liu, Stephen MacNeil, Danaë Metaxa:
The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiring. CoRR abs/2405.04412 (2024) - [i18]Paul Denny, Stephen MacNeil, Jaromír Savelka, Leo Porter, Andrew Luxton-Reilly:
Desirable Characteristics for AI Teaching Assistants in Programming Education. CoRR abs/2405.14178 (2024) - [i17]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 abs/2405.17739 (2024) - [i16]Brent N. Reeves, James Prather, Paul Denny, Juho Leinonen, Stephen MacNeil, Brett A. Becker, Andrew Luxton-Reilly:
Prompts First, Finally. CoRR abs/2407.09231 (2024) - [i15]Cynthia Zastudil, Christine Holyfield, Christine Kapp, Xandria Crosland, Elizabeth Lorah, Tara Zimmerman, Stephen MacNeil:
Exploring the use of Generative AI to Support Automated Just-in-Time Programming for Visual Scene Displays. CoRR abs/2408.11137 (2024) - [i14]Cynthia Zastudil, Christine Holyfield, June A. Smith, Hannah Vy Nguyen, Stephen MacNeil:
Predictive Anchoring: A Novel Interaction to Support Contextualized Suggestions for Grid Displays. CoRR abs/2408.11140 (2024) - [i13]Hannah Kim, Sergei L. Kosakovsky Pond, Stephen MacNeil:
WIP: Identifying Tutorial Affordances for Interdisciplinary Learning Environments. CoRR abs/2408.14576 (2024) - [i12]Chris Kerslake, Paul Denny, David H. Smith IV, James Prather, Juho Leinonen, Andrew Luxton-Reilly, Stephen MacNeil:
Integrating Natural Language Prompting Tasks in Introductory Programming Courses. CoRR abs/2410.03063 (2024) - 2023
- [c32]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: 325-329 - [c31]Ziheng Huang, Stephen MacNeil:
DesignNet: a knowledge graph representation of the conceptual design space. Creativity & Cognition 2023: 375-377 - [c30]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: 478-488 - [c29]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: 489-505 - [c28]Andrew Tran, Kenneth Angelikas, Egi Rama, Chiku Okechukwu, David H. Smith IV, Stephen MacNeil:
Generating Multiple Choice Questions for Computing Courses Using Large Language Models. FIE 2023: 1-8 - [c27]Cynthia Zastudil, Magdalena Rogalska, Christine Kapp, Jennifer Vaughn, Stephen MacNeil:
Generative AI in Computing Education: Perspectives of Students and Instructors. FIE 2023: 1-9 - [c26]Andrew Tran, Linxuan Li, Egi Rama, Kenneth Angelikas, Stephen MacNeil:
Using Large Language Models to Automatically Identify Programming Concepts in Code Snippets. ICER (2) 2023: 22-23 - [c25]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: 108-159 - [c24]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: 124-130 - [c23]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: 561-562 - [c22]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: 931-937 - [c21]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: 1176 - [c20]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: 1255 - [c19]Ziheng Huang, Sebastian Gutierrez, Hemanth Kamana, Stephen MacNeil:
Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agents. UIST (Adjunct Volume) 2023: 97:1-97:3 - [i11]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 abs/2302.12832 (2023) - [i10]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 abs/2304.03938 (2023) - [i9]Stephen MacNeil, Ziheng Huang, Kenneth Chen, Zijian Ding, Alexander Yu, Kendall Nakai, Steven P. Dow:
Freeform Templates: Combining Freeform Curation with Structured Templates. CoRR abs/2305.00937 (2023) - [i8]Stephen MacNeil, Andrew Tran, Joanne Kim, Ziheng Huang, Seth Bernstein, Dan Mogil:
Prompt Middleware: Mapping Prompts for Large Language Models to UI Affordances. CoRR abs/2307.01142 (2023) - [i7]Ziheng Huang, Sebastian Gutierrez, Hemanth Kamana, Stephen MacNeil:
Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agents. CoRR abs/2308.01542 (2023) - [i6]Cynthia Zastudil, Magdalena Rogalska, Christine Kapp, Jennifer Vaughn, Stephen MacNeil:
Generative AI in Computing Education: Perspectives of Students and Instructors. CoRR abs/2308.04309 (2023) - [i5]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 abs/2310.00658 (2023) - [i4]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. CoRR abs/2311.04926 (2023) - [i3]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 abs/2311.16017 (2023) - 2022
- [c18]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: 37-39 - [c17]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: 40-41 - [c16]Stephen MacNeil, Parth Patel, Benjamin E. Smolin:
Expert Goggles: Detecting and Annotating Visualizations using a Machine Learning Classifier. UIST (Adjunct Volume) 2022: 58:1-58:3 - [i2]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 abs/2211.02265 (2022) - [i1]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 abs/2212.05113 (2022) - 2021
- [j2]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): 172:1-172:30 (2021) - [c15]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: 24:1-24:10 - [c14]Srishti Palani, Zijian Ding, Austin Nguyen, Andrew Chuang, Stephen MacNeil, Steven P. Dow:
CoNotate: Suggesting Queries Based on Notes Promotes Knowledge Discovery. CHI 2021: 726:1-726:14 - [c13]Srishti Palani, Zijian Ding, Stephen MacNeil, Steven P. Dow:
The "Active Search" Hypothesis: How Search Strategies Relate to Creative Learning. CHIIR 2021: 325-329 - [c12]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: 134-136
2010 – 2019
- 2019
- [c11]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: 85-91 - [c10]Nasrin Dehbozorgi, Stephen MacNeil:
Semi-automated Analysis of Reflections as a Continuous Course. FIE 2019: 1-5 - 2018
- [c9]Nasrin Dehbozorgi, Stephen MacNeil, Mary Lou Maher, Mohsen Dorodchi:
A Comparison of Lecture-based and Active Learning Design Patterns in CS Education. FIE 2018: 1-8 - [c8]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: 1-8 - [c7]Celine Latulipe, Stephen MacNeil, Brian Thompson:
Evolving a Data Structures Class Toward Inclusive Success. FIE 2018: 1-9 - 2017
- [c6]Stephen MacNeil, Johanna Okerlund, Celine Latulipe:
Dimensional Reasoning and Research Design Spaces. Creativity & Cognition 2017: 367-379 - [c5]Stephen MacNeil, Mohsen Dorodchi, Nasrin Dehbozorgi:
Using spectrums and dependency graphs to model progressions from introductory to capstone courses. FIE 2017: 1-5 - [c4]Stephen MacNeil:
Tools to Support Data-driven Reflective Learning. ICER 2017: 299-300 - 2016
- [c3]Stephen MacNeil, Celine Latulipe, Bruce Long, Aman Yadav:
Exploring Lightweight Teams in a Distributed Learning Environment. SIGCSE 2016: 193-198 - [c2]Stephen MacNeil, Celine Latulipe:
Leveraging Context to Create Opportunistic Co-Located Learning Environments (Abstract Only). SIGCSE 2016: 688-689 - 2015
- [c1]Stephen MacNeil, Celine Latulipe, Aman Yadav:
Learning in Distributed Low-Stakes Teams. ICER 2015: 227-236 - 2013
- [j1]Stephen MacNeil, Niklas Elmqvist:
Visualization Mosaics for Multivariate Visual Exploration. Comput. Graph. Forum 32(6): 38-50 (2013)
Coauthor Index
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last updated on 2024-11-08 20:32 CET by the dblp team
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