Papers
19
Total Citations
239
H-Index
10
About
Dan Cuperman is an educational technology researcher whose work sits at the intersection of robotics, artificial intelligence, and innovative pedagogical design. His research focuses primarily on how students at various levels — from high school to university — can develop deep understanding of intelligent systems through hands-on and immersive learning experiences. Cuperman has made significant contributions to the field of educational robotics by pioneering the use of digital twins, augmented reality, and virtual reality as platforms for robot learning and training. His highly cited studies, including work on robot online learning through digital twin experiments (29 citations) and AR/VR experiences for robotics education (28 citations), demonstrate both the breadth and practical relevance of his scholarship. A recurring theme in his research is the development of integrative and analogical thinking skills — notably through having students create robotic models of biological systems, a body of work that has accumulated nearly 60 citations across two complementary papers. His investigations into Industry 4.0 readiness and connected robot systems in high school enrichment programs reflect a sustained commitment to preparing the next generation of engineers for an increasingly automated world. Altogether, Cuperman's portfolio represents a cohesive vision for modernizing STEM education through intelligent, experiential, and technology-rich learning environments.
Research Focus
Key Achievements
Top Papers
- 1Learning through creating robotic models of biological systems32 citations · 2013
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- 9A learning excellence program in a science museum as a pathway into robotics10 citations · 2012
- 10Exposing Robot Learning to Students in Augmented Reality Experience10 citations · 2018