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Erschienen in: Journal of Visualization 4/2017

29.03.2017 | Regular Paper

Improving graphic expression training with 3D models

verfasst von: Francisco Javier Ayala Alvarez, Elidia Beatriz Blazquez Parra, Francisco Montes Tubio

Erschienen in: Journal of Visualization | Ausgabe 4/2017

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Abstract

Spatial vision is critical to understanding all other knowledge to be taught in all technical fields. Students need the ability to determine the three-dimensional shape of an object from its two-dimensional graphic representation. After using drawings in both two and three dimensions on the backboard, an opportunity to use digital media in various more interactive ways is proposed to change the ways in which the content is presented. Such digital tools include augmented reality, PDF3D or 3D visualization software like SketchUp. This article shows how 3D ICT objects can help communication for the compression of terrains represented by contours when they are not completely understood. It also discusses how to proceed to obtain them and the advantages and disadvantages of the three ways of visualization chosen. Conducting classes in Vocational training with the help of 3D models can ensure the achievement of the general objectives of the course of work with contours; with graphic origin, (obtaining profiles, earthworks, embankments, design vials or zoning), or mathematical origin, (sloping, modules, height differences, dimensions). The evaluation of these elements has been done to observe their acceptance and usability, not only in an educational environment, but also in a professional environment, since these models have been used to develop projects of urbanization, in internships in companies in real environments to explain these projects to customers.

Graphical Abstract

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Metadaten
Titel
Improving graphic expression training with 3D models
verfasst von
Francisco Javier Ayala Alvarez
Elidia Beatriz Blazquez Parra
Francisco Montes Tubio
Publikationsdatum
29.03.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Visualization / Ausgabe 4/2017
Print ISSN: 1343-8875
Elektronische ISSN: 1875-8975
DOI
https://doi.org/10.1007/s12650-017-0424-8

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