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Mohamed Abdelgalil

Mohamed Abdelgalil

Associate Professor

Tuntiopettaja

School of Computing, Faculty of Science, Forestry and Technology

mohammed.saqr@uef.fi | +358 50 308 9369

Information Publications

Mohammed Saqr an Academy of Finland researcher who leads the lab of learning analytics at UEF School of Computing which was, according to Scopus, Europe’s most productive learning analytics lab in 2021. Mohammed had a PhD in learning analytics from Stockholm University, Sweden. Before joining UEF in Finland, Mohammed had a post-doc at University of Paris. Mohammed’s research is interdisciplinary including learning analytics and big data, network science, science of science and medicine. Mohammed’ PhD was awarded the best thesis, he got several international research awards (e.g., best papers) and obtained the University of Michigan Office of Academic Innovation fellowship. Mohammed obtained funding from prestigious institutions: Swedish Research Council (as Co-PI) and Academy of Finland (as PI) for Idiographic learning analytics as well as several other grants. Mohammed is an academic editor in four prestigious academic journals, organised and contributed to several international conferences and presented several invited keynotes. Mohammed’s current collaboration network includes Finland, Spain, Sweden, Germany, Australia, France, Switzerland, UK, and USA. For a full list of papers see Researchgate.

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Keywords

artificial intelligence bibliometrics big data collaborative learning data science educational data mining educational technology learning analytics process mining psychological networks Scientometrics sequence mining social network analysis survival analysis temporal networks

Publications

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