A3.1 Training School: Integrating AI Tools in Higher Mathematics Education

As part of Activity A3.1, a two-day training school was held to explore and promote the integration of artificial intelligence (AI) tools in the teaching of higher mathematics, with a specific emphasis on linear algebra and calculus. The event brought together university lecturers, researchers, PhD students, and educational technology specialists from various institutions to exchange knowledge, present practical use cases, and collaboratively shape future directions for AI-enhanced mathematics instruction.

The training school featured a series of expert-led sessions, interactive demonstrations, and panel discussions centered on how AI tools—such as large language models, computer algebra systems, and automated assessment platforms—can support teaching, learning, and problem-solving in advanced mathematical topics. Special attention was given to the development and presentation of model tutorial scenarios that illustrate the use of AI for improving conceptual understanding, fostering student engagement, and facilitating self-paced learning.

Participants also discussed broader pedagogical implications, such as the role of computational thinking in modern mathematics curricula, the importance of programming skills in mathematical education, and the ethical considerations of using AI in academic settings. The event served as both a platform for capacity-building among educators and a catalyst for the development of innovative, AI-informed teaching practices.

The event was held on March 17-18, 2025 at the West University of Timisoara.

Co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Fundacja Rozwoju Systemu Edukacji. Neither the European Union nor the granting authority can be held responsible for them.