Juho Leinonen

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Hi! I’m currently a postdoctoral researcher at The University of Auckland. Before my current position, I worked as a postdoctoral researcher at Aalto University and the University of Helsinki, where I also completed my PhD 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 developing deeper insights into students’ learning through fine-grained learning analytics; 2) by utilizing educational technology, artificial intelligence, and large language models for supporting students and teachers alike; and 3) by leveraging learnersourcing to create ample learning opportunities tailored to distinct student needs.

I’m always looking for new collaborators, so feel free to get in touch!

News

Jan 31, 2023 We received the best practitioner paper award for Automated Questionnaires About Students’ JavaScript Programs: Towards Gauging Novice Programming Processes at the Australasian Computing Education conference! :sparkles:
Jan 17, 2023 I just started a one-year postdoctoral research visit to The University of Auckland! Looking forward to all the exciting work we have planned :sunglasses:
Aug 16, 2022 Really honored and excited that our paper Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models got the best paper award at ICER 2022! :raised_hands:
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:
    Automated Questionnaires About Students’ JavaScript Programs: Towards Gauging Novice Programming Processes
    Teemu Lehtinen, Lassi Haaranen, and Juho Leinonen
    In Proceedings of the 25th Australasian Computing Education Conference 2023
    Best practitioner paper award

  2. :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

  3. :trophy:
    Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models
    Sami Sarsa, Paul Denny, Arto Hellas, and Juho Leinonen
    In Proceedings of the 2022 ACM Conference on International Computing Education Research V. 1 2022
    Best paper award