Sami Sarsa

Orcid: 0000-0002-7277-9282

According to our database1, Sami Sarsa authored at least 25 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Computing Education in the Era of Generative AI.
Commun. ACM, February, 2024

"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students using Large Language Models.
CoRR, 2024

Solving Proof Block Problems Using Large Language Models.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models.
Proceedings of the 26th Australasian Computing Education Conference, 2024

2023
Human vs Machine: Comparison of Student-generated and AI-generated Educational Content.
CoRR, 2023

Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Automatically Generating CS Learning Materials with Large Language Models.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

The Implications of Large Language Models for CS Teachers and Students.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Using Large Language Models to Enhance Programming Error Messages.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Evaluating the Performance of Code Generation Models for Solving Parsons Problems With Small Prompt Variations.
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Comparing Code Explanations Created by Students and Large Language Models.
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Evaluating Distance Measures for Program Repair.
Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

Exploring the Responses of Large Language Models to Beginner Programmers' Help Requests.
Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

Automated Program Repair Using Generative Models for Code Infilling.
Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022
Speeding Up Automated Assessment of Programming Exercises.
Proceedings of the UKICER 2022: The United Kingdom and Ireland Computing Education Research Conference, Dublin, Ireland, September 1, 2022

Robosourcing Educational Resources - Leveraging Large Language Models for Learnersourcing.
Proceedings of the Workshop on Learnersourcing: Student-Generated Content @ Scale 2022 co-located with 9th ACM Conference on Learning @ Scale (L@S 2022), 2022

Finding Significant p in Coffee or Tea: Mildly Distasteful.
Proceedings of the Koli Calling '22: 22nd Koli Calling International Conference on Computing Education Research, 2022

Who Continues in a Series of Lifelong Learning Courses?
Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

Towards Giving Timely Formative Feedback and Hints to Novice Programmers.
Proceedings of the 2022 Working Group Reports on Innovation and Technology in Computer Science Education, 2022

Steps Learners Take when Solving Programming Tasks, and How Learning Environments (Should) Respond to Them.
Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models.
Proceedings of the ICER 2022: ACM Conference on International Computing Education Research, Lugano and Virtual Event, Switzerland, August 7, 2022

How to Help to Ask for Help? Help Request Prompt Structure Influence on Help Request Quantity and Course Retention.
Proceedings of the IEEE Frontiers in Education Conference, 2022

Methodological Considerations for Predicting At-risk Students.
Proceedings of the ACE '22: Australasian Computing Education Conference, Virtual Event, Australia, February 14, 2022

2021
Deep Learning Models for Knowledge Tracing: Review and Empirical Evaluation.
CoRR, 2021

2020
Publishing and Using Legislation and Case Law as Linked Open Data on the Semantic Web.
Proceedings of the Semantic Web: ESWC 2020 Satellite Events - ESWC 2020 Satellite Events, Heraklion, Crete, Greece, May 31, 2020


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