Daniel Lapresa Ajamil
Papers
5
Total Citations
32
H-Index
4
About
Daniel Lapresa Ajamil is a Spanish educational researcher whose work sits at the compelling intersection of early childhood education, computational thinking, and educational robotics. His research focuses on developing and analyzing methodologies that introduce young children — some as young as three years old — to foundational computational concepts through structured, problem-solving activities using programmable ground robots. Employing observational methodology as a core analytical framework, Lapresa Ajamil has made significant contributions to characterizing how computational thinking manifests and develops in Early Childhood Education settings, filling a recognized gap in the literature on this age group. Among his most notable achievements is a series of interconnected studies published in 2021 and 2022 that trace computational thinking development across different ages within early childhood education, combining rigorous observational design with carefully scaffolded problem sequences of increasing difficulty. His work also explores the nurturing of mathematical talent in young learners and the integration of storytelling contexts to make computational concepts more accessible and engaging. With his most-cited papers accumulating citations across the international research community, Lapresa Ajamil's contributions are helping shape evidence-based approaches to digital literacy and STEM education in the earliest years of formal schooling.
Research Focus
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