Papers

5

Total Citations

34

H-Index

3

About

Celeste Pizarro is an educational technology researcher whose work sits at the intersection of computational thinking, robotics, and early childhood and primary education. Her research explores how emerging technologies — including educational robotics, AI-generated learning contexts, and pedagogic conversational agents — can meaningfully develop computational thinking skills in young learners and the educators who teach them. Among her most influential contributions is her investigation into AI-generated contexts for teaching robotics to preservice teachers, which has garnered 13 citations since its 2024 publication, alongside her widely referenced 2022 study examining how coding activities in preschool settings strengthen sequencing and route-plotting skills, cited 11 times. These works collectively underscore her commitment to grounding technology integration in rigorous empirical methodology across diverse age groups. Pizarro has also advanced the field through her exploration of simulated 3D robots in secondary education and her pioneering co-design work developing multimodal pedagogic conversational agents alongside preservice teachers. Her 2025 systematic review on robot-mediated learning further signals her growing influence in understanding how social robots support children's cognitive and social development. With a portfolio spanning preschool through secondary education, Pizarro is emerging as a distinctive voice in technology-enhanced learning research.

Research Focus

Key Achievements

3
H-Index
5
Papers
34
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
AI-Generated Context for Teaching Robotics to Improve Computational Thinking in Early Childhood Education
13 citations · 2024
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Universidad Rey Juan Carlos

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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