Leo Leppänen

Department of Computer Science

I'm a University Lecturer in Computer Science at Aalto University. My research is focused on two key areas: computing education research (CER) and natural language generation (NLG), and especially the intersection of the two.

While large language models (LLMs) are a significant part of my research, I'm also interested in other topics, such as rule-based natural language generation systems, the evaluation of natural language generation systems, student motivation, time-usage, attrition, etc. 

Finally, I'm interested in cross-disciplinary studies relating to (Generative) AI systems. Most recently, I have been involved in understanding the effects of AI systems on conceptions of "authorship". To this end, I have collaborated with scholars from media and journalism studies, social sciences, and legal studies.

Full researcher profile
https://research.aalto.fi/...
Sähköposti
leo.leppanen@aalto.fi
Puhelinnumero
+358505059978

Osaamisalueet

113 Computer and information sciences, 516 Educational sciences, 518 Media and communications, Software engineering, operating systems, man-computer interaction

Tutkimusryhmät

  • Computer Science Lecturers, University Lecturer
  • Lecturer Leppänen Leo group, University Lecturer

Julkaisut

Justify Your Prompts!

Eduardo Calò, David M. Howcroft, Leo Leppänen, Saad Mahamood, Simon Mille, Patrícia Schmidtová, Emiel van Miltenburg 2026 Computational Linguistics

Effective Use of Large Language Models for Social Constructivism in Computer Science Education

Nickolas Falkner, Leo Leppänen, Juho Leinonen 2026 ITiCSE 2026 - Proceedings of the 31st ACM Conference on Innovation and Technology in Computer Science Education V. 1

Revisiting computer authorship : a longitudinal perspective

Leah Henrickson, Leo Leppänen 2026 AI and Society

Surveying Dropouts from a Finnish CS Bachelor's Programme

Leo Leppänen, Nea Pirttinen, Kjell Lemström 2026 ITiCSE 2026 - Proceedings of the 31st ACM Conference on Innovation and Technology in Computer Science Education V. 1

Decoding AI Impact : Longitudinal Analysis of Code Submissions in Programming MOOCs

Leo Leppänen, Juho Leinonen, Arto Hellas, Erkki Kaila, Linda Mannila 2025 55th IEEE Annual Frontiers in Education Conference, FIE 2025 - Conference Proceedings

Emergence of LLMs: (Not-so-)Significant Delving in Essay Answers in a MOOC on the Ethics of AI

Leo Leppänen, Lili Aunimo, Arto Hellas, Jukka K. Nurminen, Linda Mannila 2025 Artificial Intelligence in Education - 26th International Conference, AIED 2025, Proceedings

Exploring Algorithmic Biases in AI-Supported Journalism

Leo Leppänen 2025 The Handbook of Artificial Intelligence and Journalism

How Large Language Models Are Changing MOOC Essay Answers: A Comparison of Pre- and Post-LLM Responses

Leo Leppänen, Lili Aunimo, Arto Hellas, Jukka K. Nurminen, Linda Mannila 2025 arXiv.org

Revisiting the Confidence Gap in University-Level Programming Courses

Leo Leppänen, Nea Pirttinen, Erkki Kaila 2025 ITiCSE 2025 - Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education