Computer Science - Computing education research and educational technology (CER)

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Computing education research and educational technology
Department of Computer Science Research area

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.

Research area webpage: https://www.aalto.fi/en/department-of-computer-science/computing-education-research-and-educational-technology

Department of Computer Science

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

  • SDG 4 - Quality Education

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Arguments for and Approaches to Computing Education in Undergraduate Computer Science Programmes

    Cutts, Q., Kallia, M., Anderson, R., Crick, T., Devlin, M., Farghally, M., Mirolo, C., Runde, R. K., Seppälä, O., Urquiza-Fuentes, J. & Vahrenhold, J., 22 Dec 2023, ITiCSE-WGR 2023 - Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education. ACM, p. 160-195 36 p.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

  • A Selective Review of Computing Education Research

    Malmi, L. & Johri, A., 2023, International Handbook of Engineering Education Research . Johri, A. (ed.). Routledge, p. 573-593 21 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

    Open Access
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  • Automated Program Repair Using Generative Models for Code Infilling

    Koutcheme, C., Sarsa, S., Leinonen, J., Hellas, A. & Denny, P., 2023, Artificial Intelligence in Education : 24th International Conference, AIED 2023, Tokyo, Japan, July 3–7, 2023, Proceedings. Wang, N., Rebolledo-Mendez, G., Matsuda, N., Santos, O. C. & Dimitrova, V. (eds.). Springer, p. 798–803 (Lecture Notes in Computer Science ; vol. 13916).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    2 Citations (Scopus)
    2 Downloads (Pure)