Sabine Seufert
Papers
8
Total Citations
242
H-Index
4
About
Sabine Seufert is a prominent education researcher whose work sits at the intersection of artificial intelligence, human-machine interaction, and higher education pedagogy. Based at a leading research institution, she has established herself as a leading voice in understanding how emerging technologies — particularly social robots and generative AI tools — can meaningfully support teaching and learning in academic environments. Seufert's most influential contribution examines AI competence among first-year university students as a predictor of AI tool adoption in learning contexts, accumulating 105 citations since its 2024 publication and reflecting the urgency and relevance of her research agenda. Her widely cited 2020 study evaluating student acceptance of Pepper, the humanoid robot from SoftBank Robotics, in an academic writing course (99 citations) demonstrated rigorous empirical application of the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to educational robotics. Across her body of work, Seufert has systematically developed conceptual frameworks for integrating social robots into higher education, explored augmented task-sharing between teachers and smart machines, and interrogated the competency shifts demanded by an AI-driven world. Her research collectively advocates for thoughtful, evidence-based adoption of intelligent technologies in education, making her scholarship essential reading for educators and policymakers navigating digital transformation in learning environments.
Research Focus
Key Achievements
Top Papers
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- 3Social Robots in Education: Conceptual Overview and Case Study of Use18 citations · 2022
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- 8Soziale Roboter im Bildungsbereich3 citations · 2021