Juan Miguel Ribera Puchades
Papers
5
Total Citations
32
H-Index
4
About
Juan Miguel Ribera Puchades is a Spanish education researcher whose work sits at the intersection of early childhood education, computational thinking, and educational robotics. His scholarship focuses on how young children — particularly those aged 3 to 5 — can develop foundational computational and mathematical thinking skills through carefully structured problem-solving experiences. A central thread running through his most cited work is the use of programmed-directionality ground robots as pedagogical tools, which he employs to design intervention proposals of increasing complexity that make abstract computational concepts tangible for very young learners. Ribera Puchades has made notable contributions by applying observational methodology to characterize how computational thinking manifests in early childhood classrooms, producing robust observational systems that allow educators and researchers to systematically track children's cognitive processes. His 2021 studies — including work connecting mathematical talent cultivation with computational thinking — have collectively drawn significant scholarly attention, with his top papers accumulating between 7 and 8 citations each. He has also explored the integration of storytelling contexts into computational problem-solving, bridging narrative and technology in early education. His body of work addresses a recognized gap in the literature and offers practical, evidence-based frameworks for introducing coding and robotics meaningfully into preschool settings.
Research Focus
Key Achievements
Top Papers
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