Academic Career and Research Areas

Prof. Greiff’s research centers on systemic educational issues and monitoring through large-scale international studies. His holistic approach to education considers both individual and societal factors, using AI and process data, and integrating 21st-century skills into practices. His work with studies like PISA and PIAAC provides insights for educational policy, supporting evidence-based reforms that enhance equality, effectiveness, and efficiency in education.

Prof. Dr. Samuel Greiff is Professor of Educational Monitoring & Effectiveness at the Technical University of Munich (TUM) since October 2024. At TUM, he leads the Centre for International Student Assessment (ZIB) and oversees the national implementation of the PISA study. Before joining TUM, he headed the “Educational Psychology & Artificial Intelligence” unit at Goethe-University Frankfurt in 2024 and, prior to this, directed the “Cognition, Learning, & Educational Assessment” research group at the University of Luxembourg from 2012 to 2024.

Awards

  • Exceptional innovation award by the OECD (2014)
  • ATTRACT fellow at University of Luxembourg (2012-2018)

Yan, L., Greiff, S., Teuber, Z., & Gasevic, D. (2024). Promises and challenges of Generative Artificial Intelligence for human learning. Nature: Human Behaviour, 8, 1839–1850.

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Börte, K., Lillejord, S., Chan, J., Wasson, B., & Greiff, S. (2023). Prerequisites for teachers’ technology use in formative assessment practices. A systematic review. Educational Research Review, 41, 100568.

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Greiff, S. & Borgonovi, F. (2022). Teaching 21st century skills needs to be informed by psychological research. Nature Reviews Psychology, 1, 314-315.

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Fiore, S., Graesser, A., & Greiff, S. (2018). Collaborative problem solving education for the 21st century workforce. Nature: Human Behavior, 2, 367-369.

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Greiff, S., Wüstenberg, S., & Avvisati, F. (2015). Computer-generated log-file analyses as a window into students' minds? A showcase study based on the PISA 2012 assessment of problem solving. Computers & Education, 91, 92-105.

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