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Stephen MacNeil
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Journal Articles
- 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) - 2013
- [j1]Stephen MacNeil
Visualization Mosaics for Multivariate Visual Exploration. Comput. Graph. Forum 32(6): 38-50 (2013)
Conference and Workshop Papers
- 2024
- [c47]Stephen MacNeil
Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models. ACE 2024: 11-18 - [c46]Irene Hou
More Robots are Coming: Large Multimodal Models (ChatGPT) can Solve Visually Diverse Images of Parsons Problems. ACE 2024: 29-38 - [c45]Irene Hou
The Effects of Generative AI on Computing Students' Help-Seeking Preferences. ACE 2024: 39-48 - [c44]Cynthia Zastudil
Predictive Anchoring: A Novel Interaction to Support Contextualized Suggestions for Grid Displays. ASSETS 2024: 94:1-94:6 - [c43]Cynthia Zastudil
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
Comparing Traditional and LLM-based Search for Image Geolocation. CHIIR 2024: 291-302 - [c41]Lena Armstrong
The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiring. EAAMO 2024: 2:1-2:18 - [c40]James Prather
The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers. ICER (1) 2024: 469-486 - [c39]Paul Denny
Desirable Characteristics for AI Teaching Assistants in Programming Education. ITiCSE (1) 2024 - [c38]Seth Bernstein
"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students Using Large Language Models. ITiCSE (1) 2024 - [c37]Seth Bernstein
Analyzing Students' Preferences for LLM-Generated Analogies. ITiCSE (2) 2024 - [c36]James Prather
How Instructors Incorporate Generative AI into Teaching Computing. ITiCSE (2) 2024 - [c35]Albatool Wazzan
Context or Clutter? Efficiently Matching Objects Across Scenes. ICMR 2024: 404-413 - [c34]Juho Leinonen
Using Large Language Models for Teaching Computing. SIGCSE (2) 2024: 1901 - [c33]Stephen MacNeil
Discussing the Changing Landscape of Generative AI in Computing Education. SIGCSE (2) 2024: 1916 - 2023
- [c32]Ziheng Huang
CausalMapper: Challenging designers to think in systems with Causal Maps and Large Language Model. Creativity & Cognition 2023: 325-329 - [c31]Ziheng Huang
DesignNet: a knowledge graph representation of the conceptual design space. Creativity & Cognition 2023: 375-377 - [c30]Stephen MacNeil
Freeform Templates: Combining Freeform Curation with Structured Templates. Creativity & Cognition 2023: 478-488 - [c29]Zijian Ding
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
Using Large Language Models to Automatically Identify Programming Concepts in Code Snippets. ICER (2) 2023: 22-23 - [c25]James Prather
The Robots Are Here: Navigating the Generative AI Revolution in Computing Education. ITiCSE-WGR 2023: 108-159 - [c24]Juho Leinonen
Comparing Code Explanations Created by Students and Large Language Models. ITiCSE (1) 2023: 124-130 - [c23]James Prather
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
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
Automatically Generating CS Learning Materials with Large Language Models. SIGCSE (2) 2023: 1176 - [c20]Stephen MacNeil
The Implications of Large Language Models for CS Teachers and Students. SIGCSE (2) 2023: 1255 - [c19]Ziheng Huang
Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agents. UIST (Adjunct Volume) 2023: 97:1-97:3 - 2022
- [c18]Stephen MacNeil
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 - 2021
- [c15]Stephen MacNeil, Zijian Ding
Framing Creative Work: Helping Novices Frame Better Problems through Interactive Scaffolding. Creativity & Cognition 2021: 24:1-24:10 - [c14]Srishti Palani, Zijian Ding
CoNotate: Suggesting Queries Based on Notes Promotes Knowledge Discovery. CHI 2021: 726:1-726:14 - [c13]Srishti Palani, Zijian Ding
The "Active Search" Hypothesis: How Search Strategies Relate to Creative Learning. CHIIR 2021: 325-329 - [c12]Stephen MacNeil, Zijian Ding
ProbMap: Automatically constructing design galleries through feature extraction and semantic clustering. UIST (Adjunct Volume) 2021: 134-136 - 2019
- [c11]Stephen MacNeil
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
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
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
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
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
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
Learning in Distributed Low-Stakes Teams. ICER 2015: 227-236
Informal and Other Publications
- 2024
- [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
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
- [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
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
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
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
- [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)
Coauthor Index
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