MultAI-PASS – Multimodal Artificial Intelligence for Personalised and Adaptive Learning Pathways

The MultAI-PASS – Multimodal AI for Personalised Adaptive Student Pathways project has officially started. Funded under the Erasmus+ programme (KA220-HED 2025 call), the initiative is coordinated by KTH Royal Institute of Technology and involves an international consortium of European universities, including the University of Bergamo, the University of Malta, the University of Ljubljana, the University of Rijeka, and the Politecnico di Torino. For the latter, the role of Scientific Coordinator is held by Professor Dario Antonelli.
The project, with an expected duration of approximately three years, aims to transform higher education pathways through the use of multimodal artificial intelligence, with the goal of making learning more personalised, inclusive and adaptive. In a context where digital education is rapidly evolving, MultAI-PASS responds to the growing need for educational models capable of recognising and supporting different learning approaches.

Traditional teaching methods often struggle to address the increasing diversity of students in higher education. Learning styles can vary significantly: students differ in how they process information, interact with content, and demonstrate learning outcomes. MultAI-PASS aims to tackle these issues by promoting personalised learning experiences based on AI-driven adaptation and an integration that remains ethical, transparent and human-centred.

By leveraging the potential of multimodal AI, the project seeks to move beyond standardised teaching approaches, supporting the development of dynamic and student-centred learning pathways. Educational content can be adapted into different formats — visual, textual, audio, and interactive — improving engagement, accessibility and overall learning effectiveness.

A key element of the initiative is the development of a “Universal Student Passport”, a digital profile designed to capture and represent students’ learning preferences, enabling more continuous personalisation across courses and institutions. In parallel, the project will design flexible, competency-based micro-credentials, supported by artificial intelligence, allowing students to build modular learning pathways aligned with their individual goals.

Particular attention is also given to ethical aspects and the quality of education. MultAI-PASS promotes a model of collaboration between educators and AI systems, where the human role remains central in the design, validation, and supervision of educational content. In this way, the adoption of AI is guided by principles of responsibility, transparency, and inclusiveness, in line with European standards on data protection.

MultAI-PASS therefore represents a forward-looking initiative for the future of higher education, where artificial intelligence becomes a tool to support learning, enhancing the role of both students and educators within a more inclusive and flexible educational ecosystem.