Abstract
Following the Covid_19 pandemic situation, the development of future online teaching and learning methodologies should focus on providing remote (distant) students with the same required skills as in a typical standard operation. In engineering education, experimentation has a critical role for students to acquire key physical concepts. Wing lift and drag measurements are the most important experiments in aerodynamics courses, where the design of any proposed online experimentation method should ensures that the student will gain the same practical skills as in a normal standard on-campus situation. Consequently, this design must ensure that the required theoretical, analytical concepts, and experimental skills are fully covered in any proposed online learning mechanism for the current and post Covid_19 situation. This paper presents an effort towards the development of new teaching and learning mechanism for aerodynamics experiments along with the corresponding assessment for online implementation in post Covid_19 situation. The experiment has been developed using an online mixed-reality (MR) approach, which will provide the students the ability to operate the experiments from anywhere at any time through access to an online platform that hosts the mixed-reality (MR) experiment.
| Original language | English |
|---|---|
| Title of host publication | Artificial Intelligence and Online Engineering - Proceedings of the 19th International Conference on Remote Engineering and Virtual Instrumentation, REV 2022 |
| Editors | Michael E. Auer, Samir A. El-Seoud, Omar H. Karam |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 151-157 |
| Number of pages | 7 |
| ISBN (Print) | 9783031170904 |
| DOIs | |
| Publication status | Published - 15 Oct 2022 |
| Event | 19th International Conference on Remote Engineering and Virtual Instrumentation, REV 2022 - Cairo, Egypt Duration: 28 Feb 2022 → 2 Mar 2022 |
Publication series
| Name | Lecture Notes in Networks and Systems |
|---|---|
| Volume | 524 LNNS |
| ISSN (Print) | 2367-3370 |
| ISSN (Electronic) | 2367-3389 |
Conference
| Conference | 19th International Conference on Remote Engineering and Virtual Instrumentation, REV 2022 |
|---|---|
| Country/Territory | Egypt |
| City | Cairo |
| Period | 28/02/22 → 2/03/22 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Distance learning
- Experimental aerodynamics
- Force measurements
- Online labs
ASJC Scopus subject areas
- Control and Systems Engineering
- Signal Processing
- Computer Networks and Communications