Mohammed Saqr is an Academy of Finland researcher who leads the lab of learning analytics at University of Eastern Finland, School of Computing which was, according to Scopus, Europe’s most productive learning analytics lab in 2021 and 2022. Mohammed had a PhD in learning analytics from Stockholm University, Sweden, before joining UEF in Finland, Mohammed had a postdoc at University of Paris, France, and holds the title of Docent in learning analytics from the University of Oulu, Finland. Mohammed’s research is interdisciplinary including learning analytics, AI, big data, network science, science of science and medicine. Mohammed has several awards, e.g., the PhD was awarded the best thesis, he also got several international research awards (e.g., best papers), obtained the University of Michigan Office of Academic Innovation fellowship. In 2023, the Society of Learning Analytics Research (SOLAR) awarded Mohammed Europe Emerging Scholar Award for the "noteworthy research leading to significant knowledge and understanding of learning analytics and the impact of research on learning analytics application, adoption, and professional development in Europe. Mohammed obtained funding from prestigious institutions: Academy of Finland (as PI) for Idiographic learning analytic and Swedish Research Council (as Co-PI) as well as several other grants. Mohammed is on the editorial board of several prestigious academic journals e.g., Transactions of Learning Technologies, British journal of Education Technologies and Plos One. Mohammed also organised and contributed to several international conferences and presented several invited keynotes. Mohammed’s current collaboration network includes Finland, Spain, Sweden, Germany, Serbia,Australia, France, Switzerland, UK, and USA and The Netherlands.
Mohammed Saqr
Associate Professor of Computer Science
Research Interests
My interests are interdisciplinary at the intersection of analytics, methods, open science and education. My focus is to push the boundaries of methodological advances to unlock the potentials of big data across education, computer science and life sciences. One of my main areas of research centers around networks and network analysis. I published about networks in collaborative learning, in problem-based learning, in language learning and in computer science education. I also worked on finding best methods for network analysis, performed a large scale empirical investigation of centrality measures and did a meta-analysis on centralities to find out which measures capture students’ achievement. Other threads of network research include intervention based on network analysis, modeling diffusion and social contagion of knowledge, modeling conflict and robustness in networks and group influence on collaborative dynamics and success factors.I also contributed to guidelines on best practices in network analysis, finding future agendas, and addressing the challenges that face network analysis in education.... Read more
Selected publications
Contact me
If you have a research idea, want to collaborate, thinking of a funding proposal, a PhD or a master supervision. You are welcome to connet with me, send me at e-mail at mohammed.saqr@uef.fi.