Descripció del projecte
The concept of this PhD project is to create innovative co-operative learning algorithms that will be applied to learning processes. Traditionally, the education system gravitates around memorization, assimilation and theory. But the shifting of the global economy has introduced new market demands that forces to restructure education to encourage entrepreneurship, creativity and risk-taking. Co-operative learning, based on teamwork is the path to follow. Our investigation proposes to develop and transfer Artificial Intelligent methods for team formation, individual assessment and personalised learning that will become software modules to be integrated into emerging e-learning platforms.
The work starts from current state-of-the-art results on static team formation and composition developed in a previous industrial PhD by IIIA-CSIC and CMT. This project is aimed at extending the previous work by addressing the research of Artificial Intelligence methods for a new fundamental way of producing teams. We will study the development of balanced dynamic team formation techniques where the duration of tasks, the sets of tasks and possibly the set of students vary along time. Together with the dynamic team formation problem, the work will tackle the problem of automatically assessing individual competencies and the problem of adapting learning contents sequencing to each individual.
These new methods will be implemented and validated at the industrial level through pilot tests in a network of schools. In order to facilitate the transfer of technology, we will create software components that can be integrated into the Human Resources, Operations and Learning Systems of different sectorial organizations to help them to fulfil the challenge to educate the new generations in a more dynamic and vibrant context.
