Converging extended reality and Machine Learning to improve the lecturing of geometry in basic education

Technology is constantly supporting in the innovation of the teaching-learning process. Today’s students are more demanding actors when it comes to the environment they have at their disposal to learn, experiment and develop their critical thinking. The area of Mathematics has successively suffered from students’ learning difficulties, whether due to lack of motivation, low abstraction ability or lack of new tools for teachers to bring innovation into the classroom and outside it. While being true that digitalization has entered schools, it often follows a basic and simple process of digital replication of approaches and materials that were previously only available on physical media. This work focuses on the use of Extended Realities, more precisely, Mixed Reality, for teaching Mathematics, and very particularly in the teaching of Geometry, through the proposition of a conceptual model that combines the use of Extended Reality and Machine Learning. The proposed model was subject to prototyping, which is presented as a form of laboratory validation as a contribution to innovate the way of how the geometry teaching-learning process is developed and to promote the integration of Extended Reality technologies into the Education Sector as practical tools, as well due to its potential use to obtain useful insights for teachers, and students, throughout the process. • Studied the use of XR and ML to improve Geometry learning and teaching methods. • Prototype developed to test Mixed Reality to learn Geometry in a single-user setup. • LLMs are the first step in using Machine Learning to support the learning process.