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Empowering the Teaching and Learning of Geometry in Basic Education by Combining Extended Reality and Machine Learning

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Good Practices and New Perspectives in Information Systems and Technologies (WorldCIST 2024)

Abstract

Technology has helped to innovate in 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 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 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 for teaching mathematics, and very particularly in the teaching of geometry, with a 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, as well through the ability to obtain useful insights for teachers, and students, throughout the process.

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Acknowledgements

The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021).

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Correspondence to Carlos R. Cunha .

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Cunha, C.R., Moreira, A., Coelho, S., Mendonça, V., Gomes, J.P. (2024). Empowering the Teaching and Learning of Geometry in Basic Education by Combining Extended Reality and Machine Learning. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Poniszewska-Marańda, A. (eds) Good Practices and New Perspectives in Information Systems and Technologies. WorldCIST 2024. Lecture Notes in Networks and Systems, vol 988. Springer, Cham. https://doi.org/10.1007/978-3-031-60224-5_11

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