Lorenzo Cesaretti

Marche Polytechnic University

Papers

9

Total Citations

223

H-Index

6

About

Lorenzo Cesaretti is a prominent researcher specializing in Educational Robotics, STEM education, and learning assessment methodologies. His work sits at the intersection of pedagogy and technology, exploring how hands-on approaches — including robotics, coding, and tinkering — can transform student engagement and skill development across all educational levels, from primary school through higher education. Cesaretti's most influential contributions include foundational efforts to formally define and classify the field of Educational Robotics, earning 65 citations, and a widely recognized study on teacher training methodologies for STEM activities, which has accumulated 83 citations and stands as his most-cited work. He has pioneered the application of data analytics and machine learning techniques to assess student learning outcomes in robotics environments, bringing rigorous empirical methods to a field traditionally reliant on qualitative observation. His research extends into innovative domains such as marine robotics education and IoT instruction at the primary school level, as well as smart city concepts introduced through robotics experiences. Notably, his longitudinal study documenting a decade of Educational Robotics in a primary school underscores his long-term commitment to evidence-based practice. With a body of work accumulating over 220 citations, Cesaretti has established himself as a key voice shaping how robotics and technology are meaningfully integrated into modern classrooms.

Research Focus

Key Achievements

6
H-Index
9
Papers
223
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Implementation and Assessment Methodologies of Teachers’ Training Courses for STEM Activities
83 citations · 2018
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Marche Polytechnic University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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