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Sami Sarsa
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2020 – today
- 2024
- [j1]Paul Denny, James Prather, Brett A. Becker, James Finnie-Ansley, Arto Hellas, Juho Leinonen, Andrew Luxton-Reilly, Brent N. Reeves, Eddie Antonio Santos, Sami Sarsa:
Computing Education in the Era of Generative AI. Commun. ACM 67(2): 56-67 (2024) - [c24]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. ACE 2024: 11-18 - [c23]Evanfiya Logacheva, Arto Hellas, James Prather, Sami Sarsa, Juho Leinonen:
Evaluating Contextually Personalized Programming Exercises Created with Generative AI. ICER (1) 2024: 95-113 - [c22]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. ITiCSE (1) 2024 - [c21]Charles Koutcheme, Nicola Dainese, Sami Sarsa, Arto Hellas, Juho Leinonen, Paul Denny:
Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge. ITiCSE (1) 2024 - [c20]Seth Poulsen, Sami Sarsa, James Prather, Juho Leinonen, Brett A. Becker, Arto Hellas, Paul Denny, Brent N. Reeves:
Solving Proof Block Problems Using Large Language Models. SIGCSE (1) 2024: 1063-1069 - [i16]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) - [i15]Charles Koutcheme, Nicola Dainese, Sami Sarsa, Arto Hellas, Juho Leinonen, Paul Denny:
Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge. CoRR abs/2405.05253 (2024) - [i14]Charles Koutcheme, Nicola Dainese, Sami Sarsa, Juho Leinonen, Arto Hellas, Paul Denny:
Benchmarking Educational Program Repair. CoRR abs/2405.05347 (2024) - [i13]Charles Koutcheme, Nicola Dainese, Arto Hellas, Sami Sarsa, Juho Leinonen, Syed Ashraf, Paul Denny:
Evaluating Language Models for Generating and Judging Programming Feedback. CoRR abs/2407.04873 (2024) - [i12]Evanfiya Logacheva, Arto Hellas, James Prather, Sami Sarsa, Juho Leinonen:
Evaluating Contextually Personalized Programming Exercises Created with Generative AI. CoRR abs/2407.11994 (2024) - 2023
- [c19]Charles Koutcheme, Sami Sarsa, Juho Leinonen, Arto Hellas, Paul Denny:
Automated Program Repair Using Generative Models for Code Infilling. AIED 2023: 798-803 - [c18]Arto Hellas, Juho Leinonen, Sami Sarsa, Charles Koutcheme, Lilja Kujanpää, Juha Sorva:
Exploring the Responses of Large Language Models to Beginner Programmers' Help Requests. ICER (1) 2023: 93-105 - [c17]Charles Koutcheme, Sami Sarsa, Juho Leinonen, Lassi Haaranen, Arto Hellas:
Evaluating Distance Measures for Program Repair. ICER (1) 2023: 495-507 - [c16]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. ITiCSE (1) 2023: 124-130 - [c15]Brent N. Reeves, Sami Sarsa, James Prather, Paul Denny, Brett A. Becker, Arto Hellas, Bailey Kimmel, Garrett B. Powell, Juho Leinonen:
Evaluating the Performance of Code Generation Models for Solving Parsons Problems With Small Prompt Variations. ITiCSE (1) 2023: 299-305 - [c14]Juho Leinonen, Arto Hellas, Sami Sarsa, Brent N. Reeves, Paul Denny, James Prather, Brett A. Becker:
Using Large Language Models to Enhance Programming Error Messages. SIGCSE (1) 2023: 563-569 - [c13]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. SIGCSE (1) 2023: 931-937 - [c12]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. SIGCSE (2) 2023: 1176 - [c11]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:
The Implications of Large Language Models for CS Teachers and Students. SIGCSE (2) 2023: 1255 - [i11]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) - [i10]Paul Denny, James Prather, Brett A. Becker, James Finnie-Ansley, Arto Hellas, Juho Leinonen, Andrew Luxton-Reilly, Brent N. Reeves, Eddie Antonio Santos, Sami Sarsa:
Computing Education in the Era of Generative AI. CoRR abs/2306.02608 (2023) - [i9]Arto Hellas, Juho Leinonen, Sami Sarsa, Charles Koutcheme, Lilja Kujanpää, Juha Sorva:
Exploring the Responses of Large Language Models to Beginner Programmers' Help Requests. CoRR abs/2306.05715 (2023) - [i8]Paul Denny, Hassan Khosravi, Arto Hellas, Juho Leinonen, Sami Sarsa:
Human vs Machine: Comparison of Student-generated and AI-generated Educational Content. CoRR abs/2306.10509 (2023) - [i7]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
- [c10]Charles Koutcheme, Sami Sarsa, Arto Hellas, Lassi Haaranen, Juho Leinonen:
Methodological Considerations for Predicting At-risk Students. ACE 2022: 105-113 - [c9]Sami Sarsa, Jesper Pettersson, Arto Hellas:
How to Help to Ask for Help? Help Request Prompt Structure Influence on Help Request Quantity and Course Retention. FIE 2022: 1-9 - [c8]Sami Sarsa, Paul Denny, Arto Hellas, Juho Leinonen:
Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models. ICER (1) 2022: 27-43 - [c7]Sami Sarsa, Arto Hellas, Juho Leinonen:
Who Continues in a Series of Lifelong Learning Courses? ITiCSE (1) 2022: 47-53 - [c6]Johan Jeuring, Hieke Keuning, Samiha Marwan, Dennis J. Bouvier, Cruz Izu, Natalie Kiesler, Teemu Lehtinen, Dominic Lohr, Andrew Petersen, Sami Sarsa:
Towards Giving Timely Formative Feedback and Hints to Novice Programmers. ITiCSE-WGR 2022: 95-115 - [c5]Johan Jeuring, Hieke Keuning, Samiha Marwan, Dennis J. Bouvier, Cruz Izu, Natalie Kiesler, Teemu Lehtinen, Dominic Lohr, Andrew Petersen, Sami Sarsa:
Steps Learners Take when Solving Programming Tasks, and How Learning Environments (Should) Respond to Them. ITiCSE (2) 2022: 570-571 - [c4]Sami Sarsa, Arto Hellas, Juho Leinonen:
Finding Significant p in Coffee or Tea: Mildly Distasteful. Koli Calling 2022: 27:1-27:2 - [c3]Paul Denny, Sami Sarsa, Arto Hellas, Juho Leinonen:
Robosourcing Educational Resources - Leveraging Large Language Models for Learnersourcing. LSGCS@L@S 2022: 3-19 - [c2]Sami Sarsa, Juho Leinonen, Charles Koutcheme, Arto Hellas:
Speeding Up Automated Assessment of Programming Exercises. UKICER 2022: 3:1-3:7 - [i6]Sami Sarsa, Paul Denny, Arto Hellas, Juho Leinonen:
Automatic Generation of Programming Exercises and Code Explanations using Large Language Models. CoRR abs/2206.11861 (2022) - [i5]Juho Leinonen, Arto Hellas, Sami Sarsa, Brent N. Reeves, Paul Denny, James Prather, Brett A. Becker:
Using Large Language Models to Enhance Programming Error Messages. CoRR abs/2210.11630 (2022) - [i4]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) - [i3]Paul Denny, Sami Sarsa, Arto Hellas, Juho Leinonen:
Robosourcing Educational Resources - Leveraging Large Language Models for Learnersourcing. CoRR abs/2211.04715 (2022) - [i2]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) - 2021
- [i1]Sami Sarsa, Juho Leinonen, Arto Hellas:
Deep Learning Models for Knowledge Tracing: Review and Empirical Evaluation. CoRR abs/2112.15072 (2021) - 2020
- [c1]Eero Hyvönen, Minna Tamper, Esko Ikkala, Sami Sarsa, Arttu Oksanen, Jouni Tuominen, Aki Hietanen:
Publishing and Using Legislation and Case Law as Linked Open Data on the Semantic Web. ESWC (Satellite Events) 2020: 110-114
Coauthor Index
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last updated on 2024-08-25 19:14 CEST by the dblp team
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