We live surrounded by data, and artificial intelligence is already part of the daily lives of teachers and students. But meaningfully incorporating it into mathematics education requires more than just knowing the tools: it requires developing the statistical and probabilistic skills necessary to understand, question, and use them to teach more effectively.
This module is part of the University Diploma in Mathematics Teaching and addresses the transition from deterministic approaches to statistical and probabilistic analysis, integrating data analysis, the use of specific software and basic AI tools as teaching resources for the classroom.
100% online
Start: August 5, 2026
Dr. Pablo Carranza
PhD and MSc in Mathematics and Statistics Education from the Université Denis Diderot in Paris. University Professor of Mathematics at the National University of Comahue. He has extensive academic and professional experience in AI, education, and data analysis. He is a professor of mathematics and statistics at the National University of Río Negro, where he leads research, outreach, and technology transfer projects, in addition to collaborating on international initiatives. He is also a professor of AI at the University of Buenos Aires and leads projects in STEAM education and AI applications.
Qualifying title for teaching at the primary or secondary level.
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