Michael Burkhard
Papers
4
Total Citations
29
H-Index
3
About
Michael Burkhard is a leading researcher at the intersection of educational technology and human-machine interaction, with a primary focus on the integration of social robots and artificial intelligence in higher education. His work systematically explores how smart machines—including social robots and chatbots—can serve as teaching assistance systems, fundamentally reshaping the classroom dynamic. Burkhard’s major contributions include developing a conceptual framework for categorizing and implementing social robot use cases in education, as detailed in his 2020 paper, and critically evaluating the paradigm shift in human-machine collaboration. His 2022 overview of social robots in education, with 18 citations, stands as his most influential work, providing a comprehensive synthesis of the field. Burkhard has also examined the relative strengths of teachers versus smart machines, proposing an augmented task-sharing model that preserves the essential human role while leveraging technological capabilities. Through his research, Burkhard addresses the pressing question of what competencies educators and students will need in an AI-augmented world, making his work essential reading for anyone interested in the future of learning and human-machine partnership.
Research Focus
Key Achievements
Top Papers
- 1Social Robots in Education: Conceptual Overview and Case Study of Use18 citations · 2022
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