Marta Terroba
Papers
5
Total Citations
32
H-Index
4
About
Marta Terroba is a pioneering early childhood education researcher whose work sits at the intersection of computational thinking, educational robotics, and problem-solving pedagogy. Specializing in the development of computational thinking among young children aged three to five, Terroba has made significant contributions to understanding how programmed-directionality ground robots can serve as powerful tools for nurturing mathematical talent and logical reasoning in preschool settings. Her most impactful body of work, developed primarily in 2021–2022 and accumulating over 30 citations across her key publications, employs observational methodology to systematically characterize how young learners engage with increasingly complex problem sequences. By designing structured observation systems and intervention proposals rooted in contextual storytelling and play-based learning, Terroba has helped bridge a critical gap in early STEM education research — one she herself identified as an underexplored area in the field. Notably, her scholarship spans both Spanish and English audiences, broadening the reach of her findings internationally. Her work on cultivating mathematical talent through computational thinking frameworks offers educators practical, evidence-based strategies for introducing programming concepts long before formal schooling, making her research both theoretically rigorous and directly applicable in real classroom environments.
Research Focus
Key Achievements
Top Papers
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