Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Web-based application for descriptive geometry learning. |
| Συγγραφείς: |
Rubio, L., Muñoz-Abella, B., Castejón, C., Muñoz-Sánchez, A. |
| Πηγή: |
Computer Applications in Engineering Education; Sep2010, Vol. 18 Issue 3, p574-581, 8p, 2 Color Photographs, 7 Diagrams |
| Θεματικοί όροι: |
Mobile learning, Study & teaching of descriptive geometry, Web-based user interfaces, Websites, Tutors & tutoring, Computer software, Comprehension, Java programming language, Engineering students, Education |
| Περίληψη: |
In the education of basic matters of technical studies, as representation systems, it is necessary to introduce new technologies that allow individual learning to students. Learning can be traditional face to face or remotely by means of e-learning. In this work, a web-based computer specific application to study the Monge Projection is presented. The web site is design to have two different parts: the theoretical tutorials to remind the most important concepts of the subject, and some step by step solved exercises with indications, in order to fix the main ideas of the subject in the students mind. Likewise, and for a better comprehension, the students have the possibility, once finished the exercise, to visualize the three-dimensional solution of the two-dimensional problem. This application is initially thought to support the master classes, but it is also valid for distance learning, where students face alone the learning. This type of applications allows bringing basic matters closer to the students by the use of new technologies. © 2009 Wiley Periodicals, Inc. Comput Appl Eng Educ 18: 574–581, 2010; View this article online at wileyonlinelibrary.com; DOI 10.1002/cae.20244 [ABSTRACT FROM AUTHOR] |
|
Copyright of Computer Applications in Engineering Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Βάση Δεδομένων: |
Complementary Index |