article · Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) · 2020
Visual learning and education for augmented reality environments
Cited by 1Open access
Abstract
Studies on the neurosciences and the cognitive sciences have shown the existing interconnections between visual perception and cognition in the knowledge/interaction with the world. It is recognised in particular how the perception of the information in the multimedia format can improve the teaching-learning processes. With reference to the neuro-cognitive and cognitive aspects, I will focus my attention on visual learning, with particular regard to the use of augmented reality technologies. The present contribution aims specifically to identify the elements of tangency between visual educational perspectives and the construction/use of augmented digital environments.
Cite this paper
Macauda, A. (2020). Visual learning and education for augmented reality environments. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). https://doi.org/10.6092/issn.2724-2463/11120
Macauda, Anita. “Visual learning and education for augmented reality environments.” Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna), 2020, https://doi.org/10.6092/issn.2724-2463/11120.
Macauda, Anita. 2020. “Visual learning and education for augmented reality environments.” Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). https://doi.org/10.6092/issn.2724-2463/11120.
Macauda, A. (2020) ‘Visual learning and education for augmented reality environments’, Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). Available at: https://doi.org/10.6092/issn.2724-2463/11120.
@article{macauda2020visual,
title = {{Visual learning and education for augmented reality environments}},
author = {Macauda, Anita},
journal = {Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)},
year = {2020},
doi = {10.6092/issn.2724-2463/11120}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.