Martin Kandlhofer
Graz University of Technology, Institute of Software, Austrian Society of Cardiology
Papers
14
Total Citations
665
H-Index
8
About
Martin Kandlhofer is an influential Austrian researcher whose work sits at the intersection of artificial intelligence education, robotics, and STEM outreach. He has dedicated his career to making AI and robotics accessible across all educational levels — from kindergarten through university — advocating for the integration of computational thinking and AI literacy into mainstream curricula long before it became a global priority. His most cited work, "Artificial Intelligence and Computer Science in Education" (2016, 368 citations), made a compelling case that foundational AI knowledge is essential for modern citizens, helping to shape international conversations around digital education reform. His research on educational robotics has demonstrated measurable improvements in pupils' technical and social skills as well as science-related attitudes, with his 2015 study accumulating 142 citations. Kandlhofer has also pioneered inclusive, cross-generational approaches to technology education, designing robotics programs that engage preschoolers, students, and grandparents alike. His EDLRIS project — a European Driving License for Robots and Intelligent Systems — reflects his ambition to establish standardized, internationally recognized AI and robotics certification frameworks for educators and students. Through taxonomies, gifted student programs, and teacher training initiatives, Kandlhofer has consistently worked to democratize AI education on a global scale.
Research Focus
Key Achievements
Top Papers
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- 4EDLRIS: A European Driving License for Robots and Intelligent Systems24 citations · 2021
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- 6EduRobot Taxonomy19 citations · 2019
- 7Innovative concepts in educational robotics: Robotics projects for kindergartens in Austria12 citations · 2013
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- 10MINT-Robo: Empowering Gifted High School Students with Robotics8 citations · 2019