The Clinical Trial in Education project explores new AI-driven teaching approaches aimed at enhancing students’ ability to learn effectively and develop critical thinking skills.

The initiative stems from a collaboration with the D'Amore-McKim School of Business at Northeastern University and explores innovative approaches to education and learning. 

The primary objective of the project is to identify new models of university education: a university that does not merely train students in the use of AI and in the new skills required by the market, but that leverages artificial intelligence to accelerate learning processes, amplify the impact of education, and enhance the university’s capacity to deliver knowledge in a faster, more personalized, and more effective way. Throughout the project, different training modalities will be implemented and their impact on students will be evaluated through pre and post intervention questionnaires, enabling the assessment of changes in competencies, analytical capabilities, and overall learning experience.

The educational pathways will include:

• the use of artificial intelligence as the sole instructional support;

• the integration of AI with the active role of the instructor;

• individual and collaborative learning formats, encouraging both teamwork and independent study.

The project aims to contribute to the development of evidence-based educational models that combine technology, high-quality teaching, and learner-centred design, reinforcing the role of the university as a driver of innovation and societal impact.

Keywords: education, evidence-based models, learning format

The Virtual Tutor is a tool created to assist students in preparing for exams and exploring course material in depth.

It allows all students to explore course content at their own pace, summarizing concepts that might be found in various sources and allowing them to delve deeper into specific topics, thus acting as an expert Tutor in the university course. Using advanced Artificial Intelligence techniques, the system offers personalized content, real-time guidance and adaptive learning support. This approach helps students better understand study subjects and improve their academic performance.

Keywords: education, AI-powered