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UA researchers introduce AI in classrooms to detect changes in student attention levels

   ALICANTE, 17 Mar.

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UA researchers introduce AI in classrooms to detect changes in student attention levels


Researchers from the University of Alicante (UA) lead a project to design a methodology based on emotions and artificial intelligence. To do this, they have introduced AI in the classroom to detect changes in the attention levels of the students and thus be able to make changes in the methodology.

This is the MEEBAI project, in which researchers from the Faculty of Education and the Higher Polytechnic School (EPS) of the UA are working on new software capable of detecting and analyzing the learning environment through artificial intelligence (AI) technologies and deep learning (deep learning), as indicated by the academic institution in a statement.

The professor of Educational Technology of the UA Rosabel Roig Vila has highlighted that they must work from the emotions of the students and modulate the training through artificial intelligence so that it is "of quality". The objective is to advance the transition towards intelligent learning and optimize teaching, both online and face-to-face.

For his part, UA Computer Engineering Professor Miguel Cazorla pointed out that if they are able to measure the attention level of students, they can "propose improvement strategies that have an impact on interest in the content offered in class" .

"It is one of the first experiences in which a work group can automatically monitor different variables with the ultimate goal of implementing a new methodology based on the results provided by AI to improve the teaching-learning environment," he pointed out. Roig Villa.

In the first phase of the project, in which a multidisciplinary work team related to technology and education is currently immersed, a system has been designed to detect changes in the level of attention of students through the analysis of variables such as posture , gaze direction, emotions (positive, neutral or negative) and biometric data: heart rate and blood pressure.

"Once we capture all this information, we will be able to know the correlation that all these variables have with the level of attention, that is, if there are changes in the heart rate or the direction of gaze when a student is not paying attention," Cazorla has detailed. .

The researchers are going to capture the data in UA classrooms with cameras and different computational vision techniques, as well as activity bracelets to collect biometric data. In this way, with AI, if the system detects that a large number of students are not paying adequate attention, the team of researchers in the education area can redesign and test new methodologies that improve the teaching-learning process.

The MEEBAI project is funded by the Prometeo program for excellence research groups (Prometeo 2022) of the Ministry of Innovation, Universities, Science and Digital Society of the Generalitat Valenciana.

With an endowment of almost 600,000 euros, it is the only project related to Education Sciences subsidized in this edition of the Prometeo Program. The MEEBAI work team includes researchers from the UA, the University of Valencia and the universities of Seville, Murcia and the Rey Juan Carlos University of Madrid.