The concept of metaverse is becoming pervasive and promises to revolutionize the way people will interact with each other in a sustainable manner. The educational context seems to represent an ideal use case, as the metaverse may provide a digital environment empowered by analytical instruments able to monitor the social and psychological needs of students, other than lowering the entry barriers of students with disabilities. Machine learning will represent a key component of such a new consumer technology, yet little is known about its adoption within an educational metaverse. This paper overviews the current state of the art and provides a discussion about its suitability, in an effort of highlighting future research avenues and challenges.

Machine Learning for Educational Metaverse: How Far Are We?

Bilotti U.;Di Dario D.;Palomba F.;Gravino C.;Sibilio M.
2023-01-01

Abstract

The concept of metaverse is becoming pervasive and promises to revolutionize the way people will interact with each other in a sustainable manner. The educational context seems to represent an ideal use case, as the metaverse may provide a digital environment empowered by analytical instruments able to monitor the social and psychological needs of students, other than lowering the entry barriers of students with disabilities. Machine learning will represent a key component of such a new consumer technology, yet little is known about its adoption within an educational metaverse. This paper overviews the current state of the art and provides a discussion about its suitability, in an effort of highlighting future research avenues and challenges.
2023
978-1-6654-9130-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4826531
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