Jan-Mikael Rybicki

Jan-Mikael Rybicki is a Researcher at the Department of Computer Science within the School of Science at Aalto University. He holds a Master's degree in Humanities from the University of Helsinki. His research focuses on the intersection of technology and education, specifically leveraging computational methods to analyze and improve learning processes.

Rybicki's primary research interests revolve around enhancing academic writing and learning through technology. Key areas include:

• Feedback Mechanisms: Developing and analyzing methods for providing effective written feedback (e.g., metalinguistic feedback) and understanding its cognitive impact on revision success.
• Learning Technologies: Utilizing and studying platforms like Moodle and MyCourses for blended and online learning, particularly in academic writing and programming contexts.
• Data-Driven Education: Applying text mining, clustering algorithms (e.g., vector space models), and educational data mining techniques to analyze student feedback, self-evaluation data, and learning resource usage to gain insights into learning processes and outcomes.
• Cognitive Aspects of Learning: Investigating cognitive effort, load, and metacognitive strategies (like self-evaluation) in educational settings, especially related to writing and programming.

Rybicki has contributed to a significant number of research projects (over 490 listed), indicating active collaboration within Aalto University and potentially beyond. While specific awards are not mentioned, the volume and collaborative nature of the projects highlight his active role in the research community.