Guest Speakers

Luc Trouche

Emeritus Professor, French Institute of Education, École Normale Supérieure de Lyon (ENS de Lyon)

Luc Trouche is an Emeritus Professor at the French Institute of Education (IFE), École Normale Supérieure de Lyon. He began his professional trajectory as a secondary mathematics teacher for over twenty years (1974–1999) before transitioning to academic research. He earned his PhD from the University of Montpellier 2 in 1997, focusing on the relationship between instrumentation and conceptualization processes, and later received his Accreditation to Supervise Research (HDR) from the University of Paris 7 in 2003, where he introduced the influential concept of "instrumental orchestration". Professor Trouche has held numerous high-level leadership positions, including serving as the President of the French Commission on Mathematics Education (CFEM) from 2011 to 2016 and the Director of Research at the French Institute of Education. He is internationally recognized for incubating coherent theoretical frameworks, most notably the Documentational Approach to Didactics (DAD) and the instrumental approach to mathematics education. His extensive scholarly contributions include 18 edited books and special issues, as well as over 50 articles in international peer-reviewed journals. His current research investigates the integration of Artificial Intelligence (AI) in mathematics education, exploring how these tools reconfigure teachers’ resource systems and pedagogical activity. Over his career, he has coordinated more than ten international research projects across Europe, China, and Latin America. His global expertise is frequently sought, having served as an OECD expert for teacher training renewal and as a keynote speaker at over 90 international conferences. Professor Trouche continues to shape the future of the field, recently being invited to participate in the AI panel at the upcoming International Congress on Mathematical Education (ICME) in 2028.

The Integration of Artificial Intelligence into Mathematics Education: The Critical Issue of Orchestrating Learning Situations

In this presentation, we will situate the integration of artificial intelligence within a series of technological developments: learning and teaching mathematics has always been a matter of using and designing tools, whether physical or symbolic. Each new tool offers new possibilities and new constraints. For these possibilities to be effectively harnessed, the teacher’s role is essential, particularly in orchestrating learning situations—that is, in enabling students to use the available tools effectively and coherently. Artificial intelligence is part of the ongoing technological evolution, but it also marks a turning point: it is a tool that evaluates, categorizes, and predicts (to a certain extent). It requires us to think about orchestration differently, as a regulatory process in which the teacher, the students, and artificial intelligence each play a specific role: a new distribution of agency among each of the agents in the mathematics education process.

Monaghan, J., Trouche, L., & Borwein, J. (2016). Tools and Mathematics: Instruments for Learning, New York, Springer.
Trouche, L. (2026). Mathematics Education and Artificial Intelligence: Rethinking Instrumental Orchestration as the structured regulation of AI’s pedagogical agency. Invited online lecture, Department of Mathematics Education, Korea University, February 27, 2026.

Byambasuren Dorjnyambuu

Researcher at TÁRKI Social Research Institute in Budapest

Dr. Byambasuren Dorjnyambuu is an economist specializing in labor economics, with a particular focus on wage and income inequality. She works as a researcher at TÁRKI Social Research Institute in Budapest, a research fellow at Vienna Institute for Global Studies, and a consultant at Independent Research Institute of Mongolia. She received her Ph.D. in Economics from the University of Pécs, where her research examined income inequality in Central and Eastern Europe. She also holds M.S. and B.S. degrees in Applied Mathematics from the National University of Mongolia. Dr. Dorjnyambuu has published in leading academic journals on income inequality, taxation, and redistribution, entrepreneurship, and financial and social exclusion. Her work combines empirical analysis with strong policy relevance, contributing to international debates on inequality and development. Email: dorjnyambuu@tarki.hu Google Scholar

Topic

At the Open Education Conference, she will present an analytical review[1] of recent international research discussed at the conference organized by Research Committee 28 on Social Stratification and Mobility of the International Sociological Association, highlighting key developments in the study of educational inequalities and their implications for policy and research. [1] Dorjnyambuu, B. (2025). Report on the ISA RC28 Online Meeting on Educational Inequalities. Corvinus Journal of Sociology and Social Policy, 16(2). https://doi.org/10.14267/CJSSP.2025.2.8

Otgonbayar Uuye

Head of AI, AND Global

Dr. Otgonbayar Uuye is Head of AI and Co-Founder of AND Global, a leading fintech company operating across Southeast Asia. He earned his Ph.D. in Mathematics from Pennsylvania State University and holds foundational degrees from the University of Tokyo. He spearheaded the development of Mongolia's first AI/ML-based credit scoring system and actively fosters the next generation of AI talent through initiatives including the Deep Learning UB summer training program, which he has coordinated for over eight years. "AI in Mathematics"