Students exhibit diverse learning styles, ranging from logical to musical, and naturalist, among others. Consequently, the conventional lecturer-centered or passive teaching approach may not suit all learners effectively. To meet the growing demand for critical thinking, problem-solving, and skill development, educational systems must adapt by prioritizing active learning strategies. This entails fostering students’ personal growth and enhancing their professional abilities within dynamic learning environments.
Under this scenario, the iMath Project and the MathE platform emerge as innovative, dynamic, and intelligent digital tools for teaching and learning Mathematics. The iMath project developed a new AI-driven tool that supports higher education students, providing them with a database of resources, hands-on activities self-evaluation tests based on their previous performances.
In turn, MathE (https://mathe.ipb.pt/), a free e-learning platform, transforms mathematics learning by personalizing and making it inclusive through the integration of artificial intelligence with pedagogical strategies. The MathE platform uses an intelligent recommendation system, developed exclusively for the platform, capable of recognizing and recommending a personalized learning path for each student, respecting their needs and learning pace. Using the recommendation system, a 20–30% improvement in student performance was observed, especially among those with lower achievement. The MathE platform has reached more than 1900 students and 178 teachers in 85 institutions in 34 countries. The project promotes user autonomy, critical thinking, and confidence, making the learning process more enjoyable and engaging, and constitutes a best practice for giving users a voice and for promoting transformative, impactful teaching. Thus, MathE guarantees equal access to quality education, regardless of origin, economic, or geographical condition. And it provides personalized digital resources, promoting learning and facilitating students’ participation in diverse training at different paces.
In December 2025, the iMath was awarded by the Portuguese Erasmus+ National Agency as the best project in the higher education scope, and received an honorable mention in the Digital Transition category, at the 3rd Erasmus+ Awards Gala. This recognition highlights the impact of MathE/iMath in transforming mathematics learning through adaptive educational technology, making learning more accessible, personalized, and inclusive for higher education students.
Currently, MathE is being used as a case study for the DataGEMS project (https://datagems.eu/)to generate more materials for the platform using Generative Artificial Intelligence
Websites:
MathE: https://mathe.ipb.pt
DataGEMS: https://datagems.eu/
For further details see:
Azevedo, B.F. et al. (2026). A Personalized Math Learning Experience with Clustering and Random Forest Algorithms. In: Pereira, A.I., et al. Optimization, Learning Algorithms and Applications. OL2A 2025. Communications in Computer and Information Science, vol 2618. Springer, Cham. https://doi.org/10.1007/978-3-032-00140-5_8
Azevedo, B.F., et al. (2025) A multi-objective clustering approach based on different clustering measures combinations. Comp. Appl. Math. 44, 59 (2025). https://doi.org/10.1007/s40314-024-03004-x
Azevedo, B. F et al. (2024). Dataset of mathematics learning and assessment of higher education students using the MathE platform. Data in Brief, 53, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2024.110236.
Contacts:
Ana I. Pereira: apereira@ipb.pt
Beatriz Azevedo: beatrizflamia@ipb.pt