Stephen MacNeil

According to our database, Stephen MacNeil authored at least 45 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students using Large Language Models.

Seth Bernstein, Paul Denny, Juho Leinonen, Lauren Kan, Arto Hellas, Matt Littlefield, Sami Sarsa, Stephen MacNeil

CoRR, 2024

Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models.

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

CoRR, 2024

Imagining Computing Education Assessment after Generative AI.

Stephen MacNeil, Scott Spurlock, Ian Applebaum

CoRR, 2024

Discussing the Changing Landscape of Generative AI in Computing Education.

Stephen MacNeil, Juho Leinonen, Paul Denny, Natalie Kiesler, Arto Hellas, James Prather, Brett A. Becker, Michel Wermelinger, Karen Reid

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Using Large Language Models for Teaching Computing.

Juho Leinonen, Stephen MacNeil, Paul Denny, Arto Hellas

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Comparing Traditional and LLM-based Search for Image Geolocation.

Albatool Wazzan, Stephen MacNeil, Richard Souvenir

Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval, 2024

Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models.

Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim

Proceedings of the 26th Australasian Computing Education Conference, 2024

The Effects of Generative AI on Computing Students' Help-Seeking Preferences.

Irene Hou, Sophia Mettille, Owen Man, Zhuo Li, Cynthia Zastudil, Stephen MacNeil

Proceedings of the 26th Australasian Computing Education Conference, 2024

More Robots are Coming: Large Multimodal Models (ChatGPT) can Solve Visually Diverse Images of Parsons Problems.

Irene Hou, Owen Man, Sophia Mettille, Sebastian Gutierrez, Kenneth Angelikas, Stephen MacNeil

Proceedings of the 26th Australasian Computing Education Conference, 2024

2023

The Robots are Here: Navigating the Generative AI Revolution in Computing Education.

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

CoRR, 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

Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agents.

Ziheng Huang, Sebastian Gutierrez, Hemanth Kamana, Stephen MacNeil

Proceedings of the Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 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, Seth Bernstein, Juho Leinonen

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Automatically Generating CS Learning Materials with Large Language Models.

Stephen MacNeil, Andrew Tran, Juho Leinonen, Paul Denny, Joanne Kim, Arto Hellas, Seth Bernstein, Sami Sarsa

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

The Implications of Large Language Models for CS Teachers and Students.

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

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Transformed by Transformers: Navigating the AI Coding Revolution for Computing Education: An ITiCSE Working Group Conducted by Humans.

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

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2, 2023

The Robots Are Here: Navigating the Generative AI Revolution in Computing Education.

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

Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education, 2023

Comparing Code Explanations Created by Students and Large Language Models.

Juho Leinonen, Paul Denny, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Using Large Language Models to Automatically Identify Programming Concepts in Code Snippets.

Andrew Tran, Linxuan Li, Egi Rama, Kenneth Angelikas, Stephen MacNeil

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

Generative AI in Computing Education: Perspectives of Students and Instructors.

Cynthia Zastudil, Magdalena Rogalska, Christine Kapp, Jennifer Vaughn, Stephen MacNeil

Proceedings of the IEEE Frontiers in Education Conference, 2023

Generating Multiple Choice Questions for Computing Courses Using Large Language Models.

Andrew Tran, Kenneth Angelikas, Egi Rama, Chiku Okechukwu, David H. Smith IV, Stephen MacNeil

Proceedings of the IEEE Frontiers in Education Conference, 2023

Freeform Templates: Combining Freeform Curation with Structured Templates.

Stephen MacNeil, Ziheng Huang, Kenneth Chen, Zijian Ding, Alexander Yu, Kendall Nakai, Steven P. Dow

Proceedings of the Creativity and Cognition, 2023

CausalMapper: Challenging designers to think in systems with Causal Maps and Large Language Model.

Ziheng Huang, Kexin Quan, Joel Chan, Stephen MacNeil

Proceedings of the Creativity and Cognition, 2023

DesignNet: a knowledge graph representation of the conceptual design space.

Ziheng Huang, Stephen MacNeil

Proceedings of the Creativity and Cognition, 2023

Fluid Transformers and Creative Analogies: Exploring Large Language Models' Capacity for Augmenting Cross-Domain Analogical Creativity.

Zijian Ding, Arvind Srinivasan, Stephen MacNeil, Joel Chan

Proceedings of the Creativity and Cognition, 2023

2022

Expert Goggles: Detecting and Annotating Visualizations using a Machine Learning Classifier.

Stephen MacNeil, Parth Patel, Benjamin E. Smolin

Proceedings of the Adjunct Publication of the 35th Annual ACM Symposium on User Interface Software and Technology, 2022

A Context-Aware Browser Extension for Just-in-Time Learning of Data Literacy Skills.

Stephen MacNeil, Joshua Withka, Aaron Wile, Parth Patel, Emily Jao, Margaret Hanley

Proceedings of the ICER 2022: ACM Conference on International Computing Education Research, Lugano and Virtual Event Switzerland, August 7, 2022

Generating Diverse Code Explanations using the GPT-3 Large Language Model.

Stephen MacNeil, Andrew Tran, Dan Mogil, Seth Bernstein, Erin Ross, Ziheng Huang

Proceedings of the ICER 2022: ACM Conference on International Computing Education Research, Lugano and Virtual Event Switzerland, August 7, 2022

2021

Finding Place in a Design Space: Challenges for Supporting Community Design Efforts at Scale.

Stephen MacNeil, Zijian Ding, Ashley Boone, Anthony Bryce Grubbs, Steven P. Dow

Proc. ACM Hum. Comput. Interact., 2021

ProbMap: Automatically constructing design galleries through feature extraction and semantic clustering.

Stephen MacNeil, Zijian Ding, Kexin Quan, Ziheng Huang, Kenneth Chen, Steven P. Dow

Proceedings of the UIST '21: The Adjunct Publication of the 34th Annual ACM Symposium on User Interface Software and Technology, 2021

The "Active Search" Hypothesis: How Search Strategies Relate to Creative Learning.

Srishti Palani, Zijian Ding, Stephen MacNeil, Steven P. Dow

Proceedings of the CHIIR '21: ACM SIGIR Conference on Human Information Interaction and Retrieval, 2021

CoNotate: Suggesting Queries Based on Notes Promotes Knowledge Discovery.

Srishti Palani, Zijian Ding, Austin Nguyen, Andrew Chuang, Stephen MacNeil, Steven P. Dow

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Framing Creative Work: Helping Novices Frame Better Problems through Interactive Scaffolding.

Stephen MacNeil, Zijian Ding, Kexin Quan, Thomas J. Parashos, Yajie Sun, Steven P. Dow

Proceedings of the 13th ACM SIGCHI Conference on Creativity and Cognition, 2021

2019

Semi-automated Analysis of Reflections as a Continuous Course.

Nasrin Dehbozorgi, Stephen MacNeil

Proceedings of the IEEE Frontiers in Education Conference, 2019

IneqDetect: A Visual Analytics System to Detect Conversational Inequality and Support Reflection during Active Learning.

Stephen MacNeil, Kyle Kiefer, Brian Thompson, Dev Takle, Celine Latulipe

Proceedings of the ACM Conference on Global Computing Education, 2019

2018

Evolving a Data Structures Class Toward Inclusive Success.

Celine Latulipe, Stephen MacNeil, Brian Thompson

Proceedings of the IEEE Frontiers in Education Conference, 2018

Design and Implementation of an Activity-Based Introductory Computer Science Course (CS1) with Periodic Reflections Validated by Learning Analytics.

Mohsen Dorodchi, Aileen Benedict, Devansh Desai, Mohammad Javad Mahzoon, Stephen MacNeil, Nasrin Dehbozorgi

Proceedings of the IEEE Frontiers in Education Conference, 2018

A Comparison of Lecture-based and Active Learning Design Patterns in CS Education.

Nasrin Dehbozorgi, Stephen MacNeil, Mary Lou Maher, Mohsen Dorodchi

Proceedings of the IEEE Frontiers in Education Conference, 2018

2017

Tools to Support Data-driven Reflective Learning.

Stephen MacNeil

Proceedings of the 2017 ACM Conference on International Computing Education Research, 2017

Using spectrums and dependency graphs to model progressions from introductory to capstone courses.

Stephen MacNeil, Mohsen Dorodchi, Nasrin Dehbozorgi

Proceedings of the 2017 IEEE Frontiers in Education Conference, 2017

Dimensional Reasoning and Research Design Spaces.

Stephen MacNeil, Johanna Okerlund, Celine Latulipe

Proceedings of the 2017 ACM SIGCHI Conference on Creativity and Cognition, 2017

2016

Exploring Lightweight Teams in a Distributed Learning Environment.

Stephen MacNeil, Celine Latulipe, Bruce Long, Aman Yadav

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

Leveraging Context to Create Opportunistic Co-Located Learning Environments (Abstract Only).

Stephen MacNeil, Celine Latulipe

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

2015

Learning in Distributed Low-Stakes Teams.

Stephen MacNeil, Celine Latulipe, Aman Yadav

Proceedings of the eleventh annual International Conference on International Computing Education Research, 2015

2013

Visualization Mosaics for Multivariate Visual Exploration.

Stephen MacNeil, Niklas Elmqvist

Comput. Graph. Forum, 2013