Juho Leinonen

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Hi! I’m currently a postdoctoral researcher at Aalto University in the Learning+Technology research group. I did my PhD at the Department of Computer Science at the University of Helsinki and graduated in 2019.

The key question that my research seeks to answer is how to best support and engage diverse learner populations with educational technology and artificial intelligence. My research tackles this challenge in three intertwined ways: 1) by creating better insight into students’ learning with fine-grained learning analytics; 2) by using educational technology and artificial intelligence for personalizing course content; and 3) by using learnersourcing to create ample learning opportunities for distinct student needs.

I’m always looking for new collaborators, so feel free to flick me an email!

News

Mar 2, 2022 Our paper Time-on-Task Metrics for Predicting Performance received the best paper award for the computing education research track at SIGCSE 2022! :tada:

Selected publications

  1. :trophy:
    Time-on-Task Metrics for Predicting Performance
    Juho Leinonen, Francisco Enrique Vicente Castro, and Arto Hellas
    In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1 2022
    Best paper award
    PDF

  2. A Comparison of Immediate and Scheduled Feedback in Introductory Programming Projects
    Juho Leinonen, Paul Denny, and Jacqueline Whalley
    In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1 2022
    PDF

  3. Does the Early Bird Catch the Worm? Earliness of Students’ Work and its Relationship with Course Outcomes
    Juho Leinonen, Francisco Enrique Vicente Castro, and Arto Hellas
    In Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1 2021
    PDF