Automatic System for Peer Collaborative Learning Based on Clinical Cases

This project addresses the need to modernize teaching-learning processes in higher education through the integration of Information and Communication Technologies (ICTs). Given the evolution of human interaction driven by technology and the effectiveness of example-based learning, the proposal is to develop a digital training platform. The main goal is to foster cooperative learning and peer-to-peer case study resolution, overcoming the limitations of conventional systems. The methodology involves studying the state-of-the-art in machine learning and cloud computing for e-learning environments, followed by the design of the platform's architecture. Subsequently, modular implementation and rigorous testing and adjustments will be conducted to ensure a robust and adaptive educational environment, aligning with trends such as m-learning and MOOCs.<br/><br/><b>Goal</b>: <br/>To design and implement a training platform focused on facilitating cooperative learning and collaborative peer-to-peer case study resolution, leveraging technological advancements in e-learning.<br/><br/><b>Research lines</b>: <br/>Telemedicine