معرفی
Arto Hellas is a Senior Lecturer at the Department of Computer Science, University of Helsinki, where he leads the Lecturer Hellas Arto group. His work focuses on computing education research (CER) and educational technology, particularly leveraging large language models (LLMs) to enhance programming education and automated assessment tools. He also explores web development optimization through edge computing and serverless architectures.
Research Interests: Hellas's research spans the integration of AI into education, programming pedagogy, and educational technology. He investigates how LLMs can generate feedback, analogies, and exercises for students, as well as their impact on MOOCs and classroom dynamics. His work addresses challenges in student performance analysis, synthetic data generation for educational purposes, and the ethical implications of AI in learning environments. His studies on web development emphasize distributed systems and edge computing applications to improve web service delivery.
Scientific Awards:
- ICER 2022 Best Paper Award for work on LLM-generated programming exercises
- SIGCSE TS 2022 Best Paper Award in Computing Education Research
- UKICER 2023 Best Paper Award
Advising & Grants: Hellas currently leads the CoCoAI: Human-Centered AI for Computer Science Education project (2025–2027), focusing on personalized learning through LLMs. He has supervised 2 theses but no student names were explicitly provided. His grants and projects highlight contributions to educational technology, including datasets like the IDE Action Log Dataset and Morning or Evening? circadian rhythm study.
Labs & Teams: Active within the Lecturer Hellas Arto group, his collaborations span computing education, AI ethics, and web development. His team's work has been featured in media, such as a 2023 article discussing AI's role in developing a chess website in days.
