Sami Sarsa

Yliopistonopettaja

Yksikkö

Informaatioteknologian tiedekunta

Huonenumero

Ag C226.3

Sähköposti

sami.j.sarsa@jyu.fi

Postiosoite

Mattilanniemi 2

Julkaisut

Publication

2026

Assessing the Quality and Diversity of Student- and AI-Generated Programming Exercises from Limited Examples: Empirical Insights from a Large-Scale Blind Evaluation

Western Canada Conference on Computing Education. ACM.

Denny, Paul

Leinonen, Juho

Hellas, Arto

Sarsa, Sami

Liut, Michael

Khosravi, Hassan

Publication

2025

Developing Written Communication Skills in Engineering Education Using Automated Short Answer Grading

Frontiers in Education Conference. Conference proceedings : Frontiers in Education Conference. IEEE.

Rybicki, Jan-Mikael

Sarsa, Sami

Leinonen, Juho

Hellas, Arto

Publication

2025

Evaluating Language Models for Generating and Judging Programming Feedback

ACM Technical Symposium on Computer Science Education.

Koutcheme, Charles

Dainese, Nicola

Sarsa, Sami

Hellas, Arto

Leinonen, Juho

Ashraf, Syed

Denny, Paul

Publication

2025

LLM-itation is the Sincerest Form of Data : Generating Synthetic Buggy Code Submissions for Computing Education

Australasian Computing Education Conference. ACM.

Leinonen, Juho

Denny, Paul

Kiljunen, Olli

MacNeil, Stephen

Sarsa, Sami

Hellas, Arto

Publication

2024

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

Conference on Innovation and Technology in Computer Science Education. ACM.

Bernstein, Seth

Denny, Paul

Leinonen, Juho

Kan, Lauren

Hellas, Arto

Littlefield, Matt

Sarsa, Sami

Macneil, Stephen

Publication

2024

Evaluating Contextually Personalized Programming Exercises Created with Generative AI

ACM Conference on International Computing Education Research.

Logacheva, Evanfiya

Hellas, Arto

Prather, James

Sarsa, Sami

Leinonen, Juho

Publication

2024

Open Source Language Models Can Provide Feedback : Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge

Conference on Innovation and Technology in Computer Science Education. ACM.

Koutcheme, Charles

Dainese, Nicola

Sarsa, Sami

Hellas, Arto

Leinonen, Juho

Denny, Paul

Sami Sarsa

Assessing the Quality and Diversity of Student- and AI-Generated Programming Exercises from Limited Examples: Empirical Insights from a Large-Scale Blind Evaluation

Developing Written Communication Skills in Engineering Education Using Automated Short Answer Grading

Evaluating Language Models for Generating and Judging Programming Feedback

LLM-itation is the Sincerest Form of Data : Generating Synthetic Buggy Code Submissions for Computing Education

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

Evaluating Contextually Personalized Programming Exercises Created with Generative AI

Open Source Language Models Can Provide Feedback : Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge

Empiirisen ohjelmistotekniikan tutkimusryhmä (ESER)