Machine Learning for Educational Metaverse: How Far Are We?
Umberto Bilotti, Dario Di Dario, Fabio Palomba, Carmine Gravino, Maurizio Sibilio
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.