On 28 October 2026, Beatriz Flamia Azevedo, a researcher at the Research Centre in Digitalization and Intelligent Robotics (CeDRI) of the Polytechnic University of Bragança (UPB), delivered the lecture “From Data to Personalised Learning: The Role of Recommender Systems in Education” as part of the “Talk For Us – Emerging Scientific Advances at CeDRI” series, within the scope of the DataGEMS project.
Recommender systems play an increasingly important role in the personalisation of learning, enabling educational resources to be tailored to each student’s needs and performance. During the talk, Beatriz presented key concepts, approaches and challenges in applying these systems in educational settings, with a particular focus on higher education. She also explored how AI and machine learning techniques can support the selection of pedagogical resources and foster more effective and inclusive learning experiences.
The session included practical examples from the MathE platform, one of the DataGEMS case studies, illustrating how data-driven technologies can be applied in real e-learning contexts and how they can contribute to improving the way students learn and teachers teach.
It was a great opportunity to discuss both the potential and the challenges of using these technologies in education, and to reflect on how research in data and artificial intelligence can have a direct and positive impact on teaching and learning.
A big thank you to Beatriz for such an insightful presentation, to CeDRI and UPB for organising this series, and to everyone who joined us in person and online.
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