Daniel Irene-Robalino

Papers

Total Citations

H-Index

About

Daniel Irene-Robalino is a leading voice in the emerging field of AI literacy for young learners, focusing on how artificial intelligence can be taught as a foundational science rather than merely a classroom tool. Their most cited work, "State of the Art of Teaching-Learning of Artificial Intelligence at Early Ages" (2021), has garnered 5 citations and aligns with UNESCO’s forward-looking vision of integrating AI into early childhood education. This research maps the pedagogical landscape, demonstrating that children can not only use AI but also understand its core principles—a paradigm shift that empowers the next generation to become creators, not just consumers, of intelligent systems. By bridging computer science and developmental education, Irene-Robalino’s contributions help shape curricula that demystify AI, fostering critical thinking and digital agency from an early age. Their work stands at the intersection of educational technology and cognitive development, offering a blueprint for preparing young minds for an AI-driven world. As this field rapidly expands, Irene-Robalino’s foundational insights are poised to influence how societies approach STEM education, making them a pivotal figure in redefining what it means to learn in the twenty-first century.