Ramy Elmoazen

Ramy Elmoazen is a Postdoctoral Researcher at the School of Computing, University of Eastern Finland (UEF), within the Faculty of Science, Forestry and Technology. His research focuses on learning analytics, educational technology, and collaborative learning, with a particular emphasis on temporal and social dimensions in collaborative environments. He leads and contributes to projects like BalticSeaBioMed, IGLUE (game-based learning using escape rooms), and Maker & STEM Education initiatives. His work bridges theoretical frameworks like epistemic network analysis (ENA) with practical applications in online education and biomedical learning.

Key projects include evaluating technology-enhanced learning in laboratories, exploring barriers and opportunities in STEM education, and advancing methods for capturing student interactions through learning analytics. His doctoral dissertation (2024) emphasized using learning analytics to study social and temporal aspects of collaborative learning. Elmoazen’s interdisciplinary approach integrates quantitative methods, systematic reviews, and educational design, contributing to both academic and applied contexts.

He has collaborated on studies ranging from clinical trials in dentistry to large-scale reviews of ENA applications, showcasing his versatility across health education and technology-driven pedagogy. His research highlights the importance of scalable analytics tools and evidence-based practices in modern educational settings.