Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/46420
Título: | Training of spatial ability on engineering students through a remedial course based on augmented reality | Autores/as: | Martín-Gutiérrez, J. González, Cristina Roca Domínguez, Melchor García |
Clasificación UNESCO: | 3304 Tecnología de los ordenadores | Palabras clave: | Academic success Engineering education Spatial skill Augmented reality |
Fecha de publicación: | 2012 | Publicación seriada: | Proceedings of the ASME Design Engineering Technical Conference | Conferencia: | ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2012 | Resumen: | This paper presents the results of a study designed to evaluate the effect of attending an intensive remedial course based on desktop augmented reality exercises to improve the spatial ability of freshman engineering students. Many of these students have problems in managing visual information or in creating mental models of objects represented by their orthographic projections. The study reports about research on comparison tests about the spatial skills of engineering students from two Spanish universities before and after performing a specific training for improving these abilities. The training was completed by 66 students as participants, considering a control group composed of 25 students from both universities. Results show that students from both universities improve their spatial ability and there is no statistical significance between students from both universities, neither before nor after training, so we may conclude that training’s effect on both universities is analogue. | URI: | http://hdl.handle.net/10553/46420 | ISBN: | 9780791845066 | DOI: | 10.1115/DETC2012-70593 | Fuente: | Proceedings of the ASME Design Engineering Technical Conference,v. 7, p. 219-225 |
Colección: | Actas de congresos |
Vista completa
Citas SCOPUSTM
6
actualizado el 24-nov-2024
Visitas
133
actualizado el 01-nov-2024
Descargas
214
actualizado el 01-nov-2024
Google ScholarTM
Verifica
Altmetric
Comparte
Exporta metadatos
Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.