Research in Computer Science
Research in the Department of Computer Science
Computing education research and educational technology
Computer science, psychology, and education.
Computing education research (CER) contributes scientific knowledge about the learning and teaching of computer programming and other areas of computing education; develops software tools, pedagogies, and theoretical models to help computing students and teachers; and evaluates such tools, pedagogies, and models empirically.
CER is an interdisciplinary field at the cross-section of computer science, psychology, and education.
We develop and apply educational technology, learning analytics and educational data mining to improve computing education as well as other fields of education.
Research topics: Computing education research, learning analytics, educational technology.
People
Related research groups
Computing education, educational technology and software visualization.
Latest publications
Empirical Evaluation of a Differentiated Assessment of Data Structures: The Role of Prerequisite Skills
Marjahan Begum, Pontus Haglund, Ari Korhonen, Violetta Lonati, Mattia Monga, Filip Strömbäck, Artturi Tilanterä
2024
Informatics in Education
Analyzing Students’ Preferences for LLM-Generated Analogies
Seth Bernstein, Paul Denny, Juho Leinonen, Matt Littlefield, Arto Hellas, Stephen MacNeil
2024
"Like a Nesting Doll" : Analyzing Recursion Analogies Generated by CS Students Using Large Language Models
Seth Bernstein, Paul Denny, Juho Leinonen, Lauren Kan, Arto Hellas, Matt Littlefield, Sami Sarsa, Stephen Macneil
2024
ITiCSE 2024 - Proceedings of the 2024 Conference Innovation and Technology in Computer Science Education
Computing Education in the Era of Generative AI
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
2024
Communications of the ACM
Decades of Striving for Pedagogical and Technological Alignment
Lassi Haaranen, Lukas Ahrenberg, Arto Hellas
2024
Proceedings of 23rd International Conference on Computing Education Research, Koli Calling 2023
Open Source Language Models Can Provide Feedback
Charles Koutcheme, Nicola Dainese, Sami Sarsa, Arto Hellas, Juho Leinonen, Paul Denny
2024
ITiCSE 2024 - Proceedings of the 2024 Conference Innovation and Technology in Computer Science Education
Propagating Large Language Models Programming Feedback
Charles Koutcheme, Arto Hellas
2024
L@S 2024 - Proceedings of the 11th ACM Conference on Learning @ Scale
Using Program Repair as a Proxy for Language Models’ Feedback Ability in Programming Education
Charles Koutcheme, Nicola Dainese, Arto Hellas
2024
Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)
Let's Ask AI About Their Programs : Exploring ChatGPT's Answers To Program Comprehension Questions
Teemu Lehtinen, Charles Koutcheme, Arto Hellas
2024
Proceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training
Evaluating Contextually Personalized Programming Exercises Created with Generative AI
Evanfiya Logacheva, Arto Hellas, James Prather, Sami Sarsa, Juho Leinonen
2024
ICER '24: Proceedings of the 2024 ACM Conference on International Computing Education Research
Related units
Helsinki Institute for Information Technology HIIT (external link)
Collaborative institute for research on information technology.
Department of Computer Science
We are an internationally-oriented community and home to world-class research in modern computer science.
School of Science
Science for tomorrow’s technology, innovations and businesses
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