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
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
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
Decoding Logic Errors
Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim
2024
ACE 2024 - Proceedings of the 26th Australasian Computing Education Conference, Held in conjunction with
Domain-Specific Theories of Teaching Computing: Do they Inform Practice?
Lauri Malmi, Judy Sheard, Jane Sinclair, Päivi Kinnunen
2024
Koli Calling '23: Proceedings of the 23rd Koli Calling International Conference on Computing Education Research
A comparative analysis of master’s theses in STEM-related disciplines published in Türkiye and Finland
Ozlem Oktay, Ilknur Reisoglu, Seyda Gul, Dilek Teke, Mustafa Sozbilir, Ilayda Gunes, Rumeysa Yildiz, Gulsah Atila, Aysegul Yazar, Lauri Malmi, Päivi Kinnunen, Jarkko Lampiselkä, Arja Kaasinen
2024
Scandinavian Journal of Educational Research
Solving Proof Block Problems Using Large Language Models
Seth Poulsen, Sami Sarsa, James Prather, Juho Leinonen, Brett A. Becker, Arto Hellas, Paul Denny, Brent N. Reeves
2024
SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education
Understanding Pathways to Computing Education Research (CER)
Kate Sanders, Arto Hellas, Lauri Malmi
2024
Instructor Perceptions of AI Code Generation Tools - A Multi-Institutional Interview Study
Judy Sheard, Paul Denny, Arto Hellas, Juho Leinonen, Lauri Malmi
2024
SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education
Related units
Helsinki Institute for Information Technology HIIT (external link)
Collaborative institute for research on information technology.
Department of Computer Science
cs.aalto.fi
School of Science
Science for tomorrow’s technology, innovations and businesses
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