Introduction
Technology and space exploration have been the current topic in many firms. Today, stakeholders can witness the massive importance of technology in the healthcare, transportation industry, production industry, and even recently in the sports industry with the introduction of ‘VAR’ as explained by Brunton. et al. [1] in their research. The most effective way to create awareness of technology efficiency is to provide education programs to the next generation at a tender age to assist in preparing them for the challenges and importance of technology. According to Fu and Hwang [8], considerable research has been done on the importance of supporting students for scientific research through various standard guideline approaches. Technology and space exploration would help the world achieve a better future, economic and infrastructural advancement in all industries.
Space exploration is one of the significant projects of various space companies, with Elon Musk is at the forefront in championing a series of space exploration and voyages. Through research, the exploration of multiple theories explains how technology and space exploration apply in school scientific research. The use of numerous theoretical approaches has supported science students achieve their research goals in space and technology engineering. However, the outcome obtained from these approaches can only be identified through research on the impact of technology on future economic and infrastructural development.
Motivational Theory
Space engineering and space technology concepts can be fully-fledged by creating awareness and supporting various students through their school scientific research projects. Experts are expected to be in the front line when supporting school students through their scientific research in aerospace science. According to Gopalan, Bakar, Zulkifli, Alwi, and Mat [2], one of the major approaches professionals can adopt to help science students with their research is subjecting them to various projects. Theoretical research is essential in creating awareness of the concept, but practice skills are the ultimate and most important in aerospace engineering. During their research, Malaek and Moaddab [10] highlighted that aerospace engineering students should be subjected to a series of projects to equip them with more advanced skills and knowledge on handling various space machines and technological analysis concerning space practice. European Space Agency has adopted the approach of subjecting diverse students from country membership to series of project activities dealing with scientific research on space engineering. A European space agency subjects science students to an ideal environment that mirrors the actual space activities, thus bringing scientific research projects into reality. According to Lin and Pryor [3], experimental challenges conducted by ESA that ran for three years proved essential in subjecting the students to various technological software to understand mechanisms that scientists can adopt in the data collection and analysis process.
Self-determination is another essential motivational theory that experts can apply to support students in spacecraft scientific research. Students tend to choose a course based on their dreams about aiding in developing an economy. The theory can support the students with scientific research by subjecting them to competitions requiring the development or advancement of different technological software used in spacecraft engineer analysis. According to Cao et al. [4], the students are likely to apply the theory to develop an in-depth understanding of the research question during the research process. Thus, aiding in growing their skills towards operating spacecraft and software necessary for the spacecraft’s success. Everyone desires to be the best in the technology industry; therefore, they are likely to prove they are the best in the technology. The theory can be essential in supporting students in mastering crucial skills concerning the spacecraft and technology aiding in its operation. During his analysis, Pati Arambage [5] explores various scientific models in assisting school students in undertaking their scientific research through different demonstration processes. Scientific models like the spacecraft assist in supporting students in acquiring an in-depth understanding of the framework and functional operation of spacecraft.
The development of modern technology software can also help support students in their scientific research. Its use has eased the way human handle and undertakes activities in various sectors. Grainger [7], about the educational industry, stated that technology has seen a massive difference in approaches taken by experts to facilitate their research process. The use of earth observatory framework approaches helps support school students in scientific research with data collection activities for the relationship between earth and space. The primary concept of earth observatory framework theory focuses on information gathering to assist in analyzing the earth’s layout, thus helping the space analysis. According to Yao et al. [6], the most common earth observatory framework that various institutions and organizations can apply to support students during their scientific research is the global earth observation system. The observation uses modern technology to collect information about the earth using various coordinates. According to Rajkumar, Ebenezer, Snegdha, and Goyal [9], the use of scientific models assists in mentoring young scientists by exposing them to more sophisticated software that can provide effective aid during their scientific research.
Conclusion
The use of various motivational theories in aerospace engineering proves to be essential in mentoring young scientists in achieving their dreams through series of scientific researches. The early exposures to such technology improve the self-esteem of young scientists, thus increasing their desire to achieve more, which assists in enhancing the ability to participate in various scientific researches. Supporting school students through multiple programs seems to increase the demand for different use of technologies, thus improving the rate of production.
References
Brunton, S. L., Nathan Kutz, J., Manohar, K., Aravkin, A. Y., Morgansen, K., Klemisch, J.,… & McDonald, D. (2021). Data-driven aerospace engineering: reframing the industry with machine learning. AIAA Journal, 59(8), 2820-2847.
Gopalan, V., Bakar, J. A. A., Zulkifli, A. N., Alwi, A., & Mat, R. C. (2017). A review of the motivation theories in learning. In AIP Conference Proceedings (Vol. 1891, No. 1, p. 020043). AIP Publishing LLC.
Lin, H., & Pryor, M. (2020). A Motivational 3D EdTech in Online Education: Digital Exhibition Space. In International Conference on Blended Learning (pp. 175-186). Springer, Cham.
Cao, W., Xu, L., Su, Z., Pang, B., Chi, R., Wang, L., & Wang, X. (2021). Modeling of pitting damage-induced ultrasonic nonlinearity in AL-Whipple shields of spacecraft: Theory, simulation, and experimental validation. International Journal of Mechanical Sciences, 207, 106659.
Pati Arambage, R. A. (2021). Theoretical and Experimental Investigation of Attitude Control for Underactuated Spacecraft.
Yao, X., Li, G., Xia, J., Ben, J., Cao, Q., Zhao, L.,… & Zhu, D. (2020). Enabling the big earth observation data via cloud computing and DGGS: Opportunities and challenges. Remote Sensing, 12(1), 62.
Grainger, A. (2017). Citizen observatories and the new earth observation science. Remote Sensing, 9(2), 153.
Fu, Q. K., & Hwang, G. J. (2018). Trends in mobile technology-supported collaborative learning: A systematic review of journal publications from 2007 to 2016. Computers & Education, 119, 129-143.
Rajkumar, A., Ebenezer, H., Snegdha, A., & Goyal, C. (2020). Augmented reality in aerospace engineering real-time application of AR iOS applications. Materials Today: Proceedings.
Malaek, S. M. B., & Moaddab, H. (2020). Review of Bilevel Optimization Approaches and Applications in Aerospace Engineering. Journal of Technology in Aerospace Engineering, 4(2), 26-11.
Footnotes
- Brunton, S. L., Nathan Kutz, J., Manohar, K., Aravkin, A. Y., Morgansen, K., Klemisch, J.,… & McDonald, D. (2021). Data-driven aerospace engineering: reframing the industry with machine learning. AIAA Journal, 59(8), 2820-2847.
- Gopalan, V., Bakar, J. A. A., Zulkifli, A. N., Alwi, A., & Mat, R. C. (2017). A review of the motivation theories in learning. In AIP Conference Proceedings (Vol. 1891, No. 1, p. 020043). AIP Publishing LLC.
- Lin, H., & Pryor, M. (2020). A Motivational 3D EdTech in Online Education: Digital Exhibition Space. In International Conference on Blended Learning (pp. 175-186). Springer, Cham.
- Cao, W., Xu, L., Su, Z., Pang, B., Chi, R., Wang, L., & Wang, X. (2021). Modeling of pitting damage-induced ultrasonic nonlinearity in AL-Whipple shields of spacecraft: Theory, simulation, and experimental validation. International Journal of Mechanical Sciences, 207, 106659.
- Pati Arambage, R. A. (2021). Theoretical and Experimental Investigation of Attitude Control for Underactuated Spacecraft.
- Yao, X., Li, G., Xia, J., Ben, J., Cao, Q., Zhao, L.,… & Zhu, D. (2020). Enabling the big earth observation data via cloud computing and DGGS: Opportunities and challenges. Remote Sensing, 12(1), 62.
- Grainger, A. (2017). Citizen observatories and the new earth observation science. Remote Sensing, 9(2), 153.
- Fu, Q. K., & Hwang, G. J. (2018). Trends in mobile technology-supported collaborative learning: A systematic review of journal publications from 2007 to 2016. Computers & Education, 119, 129-143.
- Rajkumar, A., Ebenezer, H., Snegdha, A., & Goyal, C. (2020). Augmented reality in aerospace engineering real-time application of AR iOS applications. Materials Today: Proceedings.
- Malaek, S. M. B., & Moaddab, H. (2020). Review of Bilevel Optimization Approaches and Applications in Aerospace Engineering. Journal of Technology in Aerospace Engineering, 4(2), 26-11.