Charlie

Charlie

Doctoral researcher

Publications

Speeding Up Automated Assessment of Programming Exercises

Published in The United Kingdom and Ireland Computing Education Research Conference, 2022

In this paper, we present an approach for reducing the computational ressources needed to assess students solutions to programming assignments.

Recommended citation: S. Sarsa, J. Leinonen, C. Koutcheme, A. Hellas. 2022: Speeding Up Automated Assessment of Programming Exercises. In Proceedings of the 2022 Conference on United Kingdom and Ireland Computing Education Research (UKICER22), September 2022 https://dl.acm.org/doi/abs/10.1145/3555009.3555013

Exploring How Students Solve Open-ended Assignments: A Study of SQL Injection Attempts in a Cybersecurity Course

Published in Innovation and Technology in Computer Science Education (ITiCSE 22), 2022

In this study, we investigate how students solve open-ended assignments on a cybersecurity course.

Recommended citation: C. Koutcheme, A. Tilanterä, A. Peltonen, A. Hellas, and L. Haaranen: Exploring How Students Solve Open-ended Assignments: A Study of SQL Injection Attempts in a Cybersecurity Course. In Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education. July 2022 https://doi.org/10.1145/3502718.3524748

Methodological Considerations for Predicting At-risk Students

Published in Australasian Computing Education Conference (ACE ’22), 2022

This paper highlights a methodological flaw when using machine learning for predicting students dropping out of a course.

Recommended citation: C. Koutcheme, S. Sarsa, A. Hellas, L. Haaranen, J. Leinonen: Methodological Considerations for Predicting At-risk Students. In Australasian Computing Education Conference (ACE ’22), February 2022 https://dl.acm.org/doi/abs/10.1145/3511861.3511873