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

10
H-Index
19
Papers
239
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Learning through creating robotic models of biological systems
32 citations · 2013
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Technion – Israel Institute of Technology, ORT Braude College

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago