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Martin Rehm is an Associate Professor at the University of Southern Denmark, focusing on the intersection of Educational Data Science and Knowledge Mobilization. His research employs computational methods such as social network analysis and natural language processing to understand knowledge flows within educational systems and digital spaces. Rehm's work illustrates how advanced analytical techniques can uncover hidden patterns in educators' interactions and sharing of knowledge, transforming large-scale data into actionable insights for professional learning and educational discourse. Additionally, he investigates the role of knowledge brokers in facilitating the movement of research into practice, exploring how social capital and network structures can either facilitate or hinder knowledge flow. His research into educational leadership examines how leaders navigate social networks during critical moments and impact educational policy. With an emphasis on methodological innovation, he has published in leading academic journals and holds affiliations with the United Nations University and the University of California, San Diego.
University of Southern Denmark • Odense, Denmark
Teaching and research in the areas of educational data science and knowledge mobilization.
Requirements are standardized for English-taught Master's programs across Science, Engineering, and Social Science departments. Some programs may require a higher GPA for restricted admission.