Juho Leinonen
Aalto-yliopisto
H-index: 21
Europe-Finland
Top articles of Juho Leinonen
Title | Journal | Author(s) | Publication Date |
---|---|---|---|
Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models | arXiv preprint arXiv:2401.10759 | James Prather Paul Denny Juho Leinonen David H Smith IV Brent N Reeves | 2024/1/19 |
Instructor Perceptions of AI Code Generation Tools-A Multi-Institutional Interview Study | Judy Sheard Paul Denny Arto Hellas Juho Leinonen Lauri Malmi | 2024/3/7 | |
Discussing the Changing Landscape of Generative AI in Computing Education | Stephen MacNeil Juho Leinonen Paul Denny Natalie Kiesler Arto Hellas | 2024/3/14 | |
Prompt Problems: A new programming exercise for the generative AI era | Paul Denny Juho Leinonen James Prather Andrew Luxton-Reilly Thezyrie Amarouche | 2024/3/7 | |
AI in Computing Education from Research to Practice | Bita Akram Juho Leinonen Narges Norouzi James Prather Lisa Zhang | 2024/3/14 | |
Evaluating LLM-generated Worked Examples in an Introductory Programming Course | Breanna Jury Angela Lorusso Juho Leinonen Paul Denny Andrew Luxton-Reilly | 2024/1/29 | |
Explaining Code with a Purpose: An Integrated Approach for Developing Code Comprehension and Prompting Skills | arXiv preprint arXiv:2403.06050 | Paul Denny David H Smith IV Max Fowler James Prather Brett A Becker | 2024/3/10 |
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 | 2024/1/29 | |
Solving Proof Block Problems Using Large Language Models | Seth Poulsen Sami Sarsa James Prather Juho Leinonen Brett A Becker | 2024/3/7 | |
SIGCSE Bulletin Vol. 56, No. 2 | SIGCSE Bulletin | Erik Barendsen Lina Battestilli Paul Denny Mohsen Dorodchi Heidi JC Ellis | 2024/4/2 |
Computing education in the era of generative AI | Communications of the ACM | Paul Denny James Prather Brett A Becker James Finnie-Ansley Arto Hellas | 2024/1/25 |
Using Large Language Models for Teaching Computing | Juho Leinonen Stephen MacNeil Paul Denny Arto Hellas | 2024/3/14 | |
Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models | Muntasir Hoq Yang Shi Juho Leinonen Damilola Babalola Collin Lynch | 2024/3/7 | |
Detecting ChatGPT-Generated Code in a CS1 Course | Muntasir Hoq Yang Shi Juho Leinonen Damilola Babalola Collin Lynch | 2023 | |
Introduction to the Special Issue on EDM in Computer Science Education (CSEDM) | Journal of Educational Data Mining | Thomas W Price Sharon Hsiao Bita Akram Peter Brusilovsky Juho Leinonen | 2023/3/15 |
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 | 2023/6/29 | |
Could ChatGPT Be Used for Reviewing Learnersourced Exercises? | Nea Pirttinen Juho Leinonen | 2023/11/13 | |
Promptly: Using prompt problems to teach learners how to effectively utilize ai code generators | arXiv preprint arXiv:2307.16364 | Paul Denny Juho Leinonen James Prather Andrew Luxton-Reilly Thezyrie Amarouche | 2023/7/31 |
Lessons learned from four computing education crowdsourcing systems | IEEE Access | Nea Pirttinen Paul Denny Arto Hellas Juho Leinonen | 2023/3/6 |
Automated questionnaires about students’ javascript programs: Towards gauging novice programming processes | Teemu Lehtinen Lassi Haaranen Juho Leinonen | 2023/1/30 |