Designing Learning Media Using Augmented Reality for Engineering Mechanics Course

Authors

  • Aprilla Fortuna Department of Mechanical Engineering, Faculty of Engineering, Universitas Negeri Padang, INDONESIA
  • Waskito Department of Mechanical Engineering, Faculty of Engineering, Universitas Negeri Padang, INDONESIA
  • Purwantono Department of Mechanical Engineering, Faculty of Engineering, Universitas Negeri Padang, INDONESIA
  • Andre Kurniawan Department of Mechanical Engineering, Faculty of Engineering, Universitas Negeri Padang, INDONESIA
  • Welli Andriani Department of Physics, Faculty of Mathematics and Natural Science, Universitas Negeri Padang, INDONESIA
  • Masnaini Alimin Department of Science Education, Ewha Womans University, REPUBLIC OF KOREA

DOI:

https://doi.org/10.58712/jerel.v2i1.20

Keywords:

Design, Application, Engineering Mechanics, Augmented Reality

Abstract

The development of digital technology for education is continuously conducted to successfully integrate digital technology with people's lives. This study aimed to develop an Augmented Reality learning media application for the Engineering Mechanics course, which is considered challenging by some students. Engineering mechanics, a discipline that analyzes structural analysis in compensating for the loads that work on a particular machine in scalar quantities, motion forces, vectors, and moments that require physical structural forms to analyze them, is considered challenging by some students. The Augmented Reality application was created using the prototyping method, which consists of three steps: 1) listening to the customer, 2) building/ revising mock-up, and 3) customer test-drivers mock-up. The AR-based learning media application includes usage instructions, developer info, learning videos, 3D AR object animation simulations, and exercise and discussion menus, which were tested as expected. The results of the black box testing indicate that the Augmented Reality-based engineering mechanics learning media application ran successfully as expected. However, users suggested improving the navigation speed by streamlining page transitions. The application provides an accessible solution for students as an alternative to traditional distance education, offering anytime, anywhere access to learning materials with longer duration.

Downloads

Download data is not yet available.

References

Ahmad, T., Iqbal, J., Ashraf, A., Truscan, D., & Porres, I. (2019). Model-based testing using UML activity diagrams: A systematic mapping study. Computer Science Review, 33(1), 98–112. https://doi.org/10.1016/j.cosrev.2019.07.001

Almaiah, M. A., Al-Khasawneh, A., & Althunibat, A. (2020). Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic. Education and Information Technologies, 25, 5261–5280. https://doi.org/10.1007/978-3-030-99000-8_16

Fukuda, K. (2020). Science, technology and innovation ecosystem transformation toward society 5.0. International Journal of Production Economics, 220, 107460. https://doi.org/10.1016/j.ijpe.2019.07.033

Guevarra, E. T. M. (2019). Modeling and Animation Using Blender: Blender 2.80: The Rise of Eevee. In Apress.

Kang, D., Jang, W., Kim, Y., & Jeon, J. (2019). Comparing national innovation system among the USA, Japan, and Finland to improve Korean deliberation organization for national science and technology policy. Journal of Open Innovation: Technology, Market, and Complexity, 5(4), 82. https://doi.org/10.3390/joitmc5040082

Lee, M. H., Kim, S., Kim, H., & Lee, J. (2022). Technology Opportunity Discovery using Deep Learning-based Text Mining and a Knowledge Graph. Technological Forecasting and Social Change, 180(April), 121718. https://doi.org/10.1016/j.techfore.2022.121718

Miranda, J., Navarrete, C., Noguez, J., Molina-Espinosa, J. M., Ramírez-Montoya, M. S., Navarro-Tuch, S. A., Bustamante-Bello, M. R., Rosas-Fernández, J. B., & Molina, A. (2021). The core components of education 4.0 in higher education: Three case studies in engineering education. Computers and Electrical Engineering, 93(June), 107278. https://doi.org/10.1016/j.compeleceng.2021.107278

Prasetya, F., Fajri, B. R., Wulansari, R. E., Primawati, P., & Fortuna, A. (2023). Virtual Reality Adventures as an Effort to Improve the Quality of Welding Technology Learning During a Pandemic. International Journal of Online and Biomedical Engineering, 19(2), 4–22.

Pressman, R. S. (2010). Software Engineering?: A Practicioner’s Approach, 7th Edition. In New York: McGraw-Hill Inc (p. 68).

Rashid, S., & Yadav, S. S. (2020). Impact of Covid-19 Pandemic on Higher Education and Research. Indian Journal of Human Development, 14(2), 340–343. https://doi.org/10.1177/0973703020946700

Ronaghi, M. H., & Ronaghi, M. (2022). A contextualized study of the usage of the augmented reality technology in the tourism industry. Decision Analytics Journal, 5(June), 100136. https://doi.org/10.1016/j.dajour.2022.100136

Tajvidi, M., & Fang, N. (2015). Application of computer simulation and animation (CSA) in teaching and learning engineering mechanics. 122nd ASEE Annual Conference and Exposition, Conference Proceedings, 11310. https://doi.org/10.18260/p.23560

Vachharajani, V., & Pareek, J. (2019). Framework to approximate label matching for automatic assessment of use-case diagram. International Journal of Distance Education Technologies, 17(3), 75–95. https://doi.org/10.4018/IJDET.2019070105

Wallace, E., Stern, M., & Song, D. (2020). Imitation attacks and defenses for black-box machine translation systems. EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, 5531–5546. https://doi.org/10.18653/v1/2020.emnlp-main.446

Xie, H., Chu, H. C., Hwang, G. J., & Wang, C. C. (2019). Trends and development in technology-enhanced adaptive/personalized learning: A systematic review of journal publications from 2007 to 2017. Computers and Education, 140, 103599. https://doi.org/10.1016/j.compedu.2019.103599

Yada, A., Tolvanen, A., Malinen, O. P., Imai-Matsumura, K., Shimada, H., Koike, R., & Savolainen, H. (2019). Teachers’ self-efficacy and the sources of efficacy: A cross-cultural investigation in Japan and Finland. Teaching and Teacher Education, 81, 13–24. https://doi.org/10.1016/j.tate.2019.01.014

Downloads

Published

2023-04-27

How to Cite

Fortuna, A., Waskito, Purwantono, Kurniawan, A., Andriani, W., & Alimin, M. (2023). Designing Learning Media Using Augmented Reality for Engineering Mechanics Course. Journal of Engineering Researcher and Lecturer, 2(1), 18–27. https://doi.org/10.58712/jerel.v2i1.20

Issue

Section

Education/Training of Next-Generation Engineering Students