Angel Orellana-Malla

Papers

1

Total Citations

5

H-Index

1

About

Angel Orellana-Malla is a pioneering researcher at the intersection of artificial intelligence and early childhood education. Her work focuses on demystifying AI for young learners, arguing that children should engage with AI not merely as users of educational tools, but as budding scientists who understand its principles. Her most cited paper, "State of the Art of Teaching-Learning of Artificial Intelligence at Early Ages" (2021), synthesizes global efforts to introduce AI literacy in primary education, aligning with UNESCO’s vision of making AI a foundational science for children. Though her citation count is still growing—reflecting the emerging nature of this field—her contributions are shaping how educators and policymakers approach AI curricula for early ages. Orellana-Malla’s research is notable for bridging technical AI concepts with pedagogical strategies, ensuring that the next generation is equipped to think critically about the technologies that will define their future. Her work is a vital resource for researchers and educators seeking to integrate AI into classrooms from the ground up.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
State of the Art of Teaching-Learning of Artificial Intelligence at Early Ages
5 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 11

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago