Svea Kiesewetter
Papers
1
Total Citations
16
H-Index
1
About
Svea Kiesewetter is a leading voice in the critical study of automation and artificial intelligence in education. Her research interrogates how AI and automated systems are reshaping pedagogical practices, educational governance, and the very concept of learning. Kiesewetter’s major contribution lies in her nuanced conceptualization of “Edu-Automation,” a framework she developed to analyze the distinct logics—technical, economic, and pedagogical—driving AI integration into classrooms. Her most-cited work, “Laws of Edu-Automation? Three Different Approaches to Deal with Processes of Automation and Artificial Intelligence in the Field of Education” (2022, 16 citations), offers a foundational typology that has become essential reading for scholars and policymakers navigating the ethical and practical tensions of digital education. By moving beyond simplistic techno-optimism or alarmism, Kiesewetter provides a rigorous, sociotechnical lens for understanding how automation transforms teacher agency, student data privacy, and institutional power. Her work is increasingly influential in European education policy circles, where she advocates for democratic, human-centered design principles. For students and researchers, Kiesewetter’s scholarship is a vital guide to the hidden politics of the algorithms shaping tomorrow’s schools.
Research Focus
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Top Papers
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