M. Teresa Anguera

Universitat de Barcelona

Papers

3

Total Citations

22

H-Index

3

About

M. Teresa Anguera is a distinguished researcher whose work sits at the intersection of observational methodology, early childhood education, and computational thinking. She has pioneered the application of rigorous observational frameworks to study how young children develop foundational computational skills, making her contributions particularly valuable at a time when digital literacy is increasingly recognized as essential from the earliest stages of education. Anguera's most celebrated research examines how ground robots with programmed directionality controls can be used as pedagogical tools to cultivate computational thinking in children as young as three and five years old. By designing structured observation systems within carefully sequenced problem-solving interventions, she has been able to characterize and measure cognitive development in ways that were previously difficult to capture in early childhood settings. Her bilingual output — publishing in both Spanish and English — reflects her commitment to reaching both Ibero-American and international scholarly communities. Her papers, accumulating citations across multiple studies published in 2021 and 2022, have attracted growing attention from educators, cognitive scientists, and curriculum designers alike. Collectively, her work advances a compelling argument: that observational methodology, when thoughtfully applied, can illuminate how the youngest learners begin to think algorithmically — laying groundwork that resonates far beyond the preschool classroom.

Research Focus

Key Achievements

3
H-Index
3
Papers
22
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Análisis observacional del desarrollo del pensamiento computacional en Educación Infantil-3 años mediante una propuesta de resolución de problemas con un robot de suelo de direccionalidad programada
8 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Universitat de Barcelona

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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