Denny, Paul

Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models

Sarsa, S., Denny, P., Hellas, A., & Leinonen, J. (2022) · Proceedings of the 2022 ACM Conference on International Computing Education Research - Volume 1

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 497

The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming

Finnie-Ansley, J., Denny, P., Becker, B. A., Luxton-Reilly, A., & Prather, J. (2022) · Proceedings of the 24th Australasian Computing Education Conference

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 463

Programming Is Hard - Or at Least It Used to Be: Educational Opportunities and Challenges of AI Code Generation

Becker, B. A., Denny, P., Finnie-Ansley, J., Luxton-Reilly, A., Prather, J., & Santos, E. A. (2023) · Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 401

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

Prather, J., Denny, P., Leinonen, J., Becker, B. A., Albluwi, I., Craig, M., Keuning, H., Kiesler, N., Kohn, T., Luxton-Reilly, A., et al. (2023) · Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education

Artificial Intelligence in EducationTeaching and Learning Programming

Cited by 396

Computing Education in the Era of Generative AI

Denny, P., Prather, J., Becker, B. A., Finnie-Ansley, J., Hellas, A., Leinonen, J., Luxton-Reilly, A., Reeves, B. N., Santos, E. A., & Sarsa, S. (2024) · Communications of the ACM

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 316

Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language

Denny, P., Kumar, V., & Giacaman, N. (2023) · Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 287

“It’s Weird That it Knows What I Want”: Usability and Interactions with Copilot for Novice Programmers

Prather, J., Reeves, B. N., Denny, P., Becker, B. A., Leinonen, J., Luxton-Reilly, A., Powell, G., Finnie-Ansley, J., & Santos, E. A. (2024) · ACM Transactions on Computer-Human Interaction

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 256

Using Large Language Models to Enhance Programming Error Messages

Leinonen, J., Hellas, A., Sarsa, S., Reeves, B., Denny, P., Prather, J., & Becker, B. A. (2023) · Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 235

PeerWise: students sharing their multiple choice questions

Denny, P., Hamer, J., Luxton-Reilly, A., & Purchase, H. (2008) · Proceedings of the Fourth international Workshop on Computing Education Research

Online Learning and AnalyticsEducational Technology and Assessment

Cited by 211

Comparing Code Explanations Created by Students and Large Language Models

Leinonen, J., Denny, P., MacNeil, S., Sarsa, S., Bernstein, S., Kim, J., Tran, A., & Hellas, A. (2023) · Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 210

Compiler Error Messages Considered Unhelpful: The Landscape of Text-Based Programming Error Message Research

Becker, B. A., Denny, P., Pettit, R., Bouchard, D., Bouvier, D. J., Harrington, B., Kamil, A., Karkare, A., McDonald, C., Osera, P.-M., et al. (2019) · Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 199

Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book

MacNeil, S., Tran, A., Hellas, A., Kim, J., Sarsa, S., Denny, P., Bernstein, S., & Leinonen, J. (2022) · arXiv

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 195

Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book

MacNeil, S., Tran, A., Hellas, A., Kim, J., Sarsa, S., Denny, P., Bernstein, S., & Leinonen, J. (2023) · Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 195

CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes

Liffiton, M., Sheese, B. E., Savelka, J., & Denny, P. (2023) · Proceedings of the 23rd Koli Calling International Conference on Computing Education Research

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 192

Prompt Problems: A New Programming Exercise for the Generative AI Era

Denny, P., Leinonen, J., Prather, J., Luxton-Reilly, A., Amarouche, T., Becker, B. A., & Reeves, B. N. (2024) · Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1

Teaching and Learning ProgrammingProblem and Project Based Learning

Cited by 187

My AI Wants to Know if This Will Be on the Exam: Testing OpenAI’s Codex on CS2 Programming Exercises

Finnie-Ansley, J., Denny, P., Luxton-Reilly, A., Santos, E. A., Prather, J., & Becker, B. A. (2023) · Proceedings of the 25th Australasian Computing Education Conference

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 186

All syntax errors are not equal

Denny, P., Luxton-Reilly, A., & Tempero, E. (2012) · Proceedings of the 17th ACM annual conference on Innovation and technology in computer science education

Teaching and Learning ProgrammingEducational Robotics and Engineering

Cited by 144

Metacognition and Self-Regulation in Programming Education: Theories and Exemplars of Use

Loksa, D., Margulieux, L., Becker, B. A., Craig, M., Denny, P., Pettit, R., & Prather, J. (2022) · ACM Transactions on Computing Education

Teaching and Learning ProgrammingInnovative Teaching and Learning Methods

Cited by 140

Empirical Support for a Causal Relationship Between Gamification and Learning Outcomes

Denny, P., McDonald, F., Empson, R., Kelly, P., & Petersen, A. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Educational Games and GamificationOnline Learning and Analytics

Cited by 135

Understanding the syntax barrier for novices

Denny, P., Luxton-Reilly, A., Tempero, E., & Hendrickx, J. (2011) · Proceedings of the 16th annual joint conference on Innovation and technology in computer science education

Teaching and Learning ProgrammingLogic, programming, and type systems

Cited by 133

A participatory learning approach to biochemistry using student authored and evaluated multiple‐choice questions

Bottomley, S., & Denny, P. (2011) · Biochemistry and Molecular Biology Education

Innovative Teaching MethodsInnovations in Medical Education

Cited by 102

Many bioinformatics programming tasks can be automated with ChatGPT

Piccolo, S. R., Denny, P., Luxton-Reilly, A., Payne, S., & Ridge, P. G. (2023) · arXiv

Teaching and Learning ProgrammingGenetics, Bioinformatics, and Biomedical Research

Cited by 69

On Designing Programming Error Messages for Novices: Readability and its Constituent Factors

Denny, P., Prather, J., Becker, B. A., Mooney, C., Homer, J., Albrecht, Z. C., & Powell, G. B. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 60

Evaluating the Performance of Code Generation Models for Solving Parsons Problems With Small Prompt Variations

Reeves, B., Sarsa, S., Prather, J., Denny, P., Becker, B. A., Hellas, A., Kimmel, B., Powell, G., & Leinonen, J. (2023) · Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 56