Leinonen, Juho

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 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

Predicting academic performance: a systematic literature review

Hellas, A., Ihantola, P., Petersen, A., Ajanovski, V. V., Gutica, M., Hynninen, T., Knutas, A., Leinonen, J., Messom, C., & Liao, S. N. (2018) · Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 355

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

“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

Exploring the Responses of Large Language Models to Beginner Programmers' Help Requests

Hellas, A., Leinonen, J., Sarsa, S., Koutcheme, C., Kujanpää, L., & Sorva, J. (2023) · arXiv

Teaching and Learning ProgrammingArtificial Intelligence in Education

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

The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers

Prather, J., Reeves, B. N., Leinonen, J., MacNeil, S., Randrianasolo, A. S., Becker, B. A., Kimmel, B., Wright, J., & Briggs, B. (2024) · Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 196

The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers

Prather, J., Reeves, B., Leinonen, J., MacNeil, S., Randrianasolo, A. S., Becker, B., Kimmel, B., Wright, J., & Briggs, B. (2024) · arXiv

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 196

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

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

Exploring the Responses of Large Language Models to Beginner Programmers’ Help Requests

Hellas, A., Leinonen, J., Sarsa, S., Koutcheme, C., Kujanpää, L., & Sorva, J. (2023) · Proceedings of the 2023 ACM Conference on International Computing Education Research V.1

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 145

Automatic Inference of Programming Performance and Experience from Typing Patterns

Leinonen, J., Longi, K., Klami, A., & Vihavainen, A. (2016) · Proceedings of the 47th ACM Technical Symposium on Computing Science Education

Teaching and Learning ProgrammingOnline Learning and Analytics

Cited by 103

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

Instructor Perceptions of AI Code Generation Tools - A Multi-Institutional Interview Study

Sheard, J., Denny, P., Hellas, A., Leinonen, J., Malmi, L., & Simon (2024) · Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 54

Plagiarism in Take-home Exams: Help-seeking, Collaboration, and Systematic Cheating

Hellas, A., Leinonen, J., & Ihantola, P. (2017) · Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education

Academic integrity and plagiarismEducational Technology and Assessment

Cited by 50

A Comparison of Immediate and Scheduled Feedback in Introductory Programming Projects

Leinonen, J., Denny, P., & Whalley, J. (2022) · Proceedings of the 53rd ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingStudent Assessment and Feedback

Cited by 32

Exploring the Applicability of Simple Syntax Writing Practice for Learning Programming

Leinonen, A., Nygren, H., Pirttinen, N., Hellas, A., & Leinonen, J. (2019) · Proceedings of the 50th ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingEducational Robotics and Engineering

Cited by 27

Promoting Early Engagement with Programming Assignments Using Scheduled Automated Feedback

Denny, P., Whalley, J., & Leinonen, J. (2021) · Proceedings of the 23rd Australasian Computing Education Conference

Teaching and Learning ProgrammingStudent Assessment and Feedback

Cited by 24

Does the Early Bird Catch the Worm? Earliness of Students' Work and its Relationship with Course Outcomes

Leinonen, J., Castro, F. E. V., & Hellas, A. (2021) · Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1

Teaching and Learning ProgrammingOnline Learning and Analytics

Cited by 23

Robosourcing Educational Resources -- Leveraging Large Language Models for Learnersourcing

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

Artificial Intelligence in EducationTeaching and Learning Programming

Cited by 21

Breaking the Programming Language Barrier: Multilingual Prompting to Empower Non-Native English Learners

Prather, J., Reeves, B. N., Denny, P., Leinonen, J., MacNeil, S., Luxton-Reilly, A., Orvalho, J., Alipour, A., Alfageeh, A., Amarouche, T., et al. (2024) · arXiv

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 20