The Regional Government of Extremadura and Ayesa combine artificial intelligence and education administration for the first time

The Regional Government of Extremadura has chosen Ayesa as its technology partner to help it become the first region in Spain to introduce artificial intelligence (AI) in education administration.

This involves a system which helps students and their families decide on which vocational training course to apply for by offering them recommendations.

The system learns how the application process works and how places are allocated, taking into account variables such as courses available, demand and decisions by applicants, providing students with the probability of them being accepted on the courses they have chosen.

This is particularly useful for students who do not secure a place in July and decide to wait until September to apply for their first choices again.

Nicolás Gallego, Head of the Vocational Training Division at the Regional Department of Education and Employment explains how ‘thanks to this system, applicants are able to choose courses they are most likely to be accepted on to. Some 5,500 people have already made use of this tool, 98% of whom have secured a place on their chosen programme’.

He goes on to note that ‘we must bear in mind that these individuals are at an important crossroads in their lives, where the decision of which course to apply for should not be taken lightly, given that it will determine the course of their career. Modern technology can be particularly useful in situations such as these, where investment is minimal’.

Margarita López, Head of the Public Sector Division at Ayesa highlights how ‘this initial phase proves that AI can be used to optimise processes and the way we interact with public administrations, opening the way for numerous opportunities in the area of education administration’.


This project has been carried out as part of changes to Extremadura’s education administration platform, Rayuela, following various studies on the use of artificial intelligence for predictive analysis and machine learning as a way of boosting academic performance.

It is in this context that the new system has been developed, which has seen Ayesa and Extremadura’s Regional Department of Education and Employment work alongside a team of researchers from the University of Seville and Pablo de Olavide University.

As a result, two predictive models have been created, one aimed at providing information on whether the chances of securing a place will be higher in September and the probability of being accepted (classification model), and another which predicts the position of the application on the list in September (regression model).