My work sits at the intersection of computing education, computational thinking, and the role of generative AI in learning and teaching. I am particularly interested in how students develop problem-solving skills, how AI tools are perceived and used in educational settings, and how computing education research can better reflect the diversity of global contexts — including Latin America.
Research lines
Computational Thinking & Generative AI in Computing Education
Focus area
Problem-Solving & CT Skills
Focus area
GenAI Tools & Perceptions
Focus area
Equity & Access in Latam CER
Side area
AI in Education(broader)
Overarching questions:
How to support students in solving computational problems?
(CT skills, problem-solving strategies, tools)
What are the perceptions and use of GenAI among educators and students?
(across educational levels)
Can GenAI-powered tools support learning and teaching, and how?
(human-centered design, evidence-based practices)
What is the role of Latin America in CEd research and how to increase its participation?