Opportunities in International Educational Programs in the Emerging Country
Article Sidebar
Main Article Content
บทคัดย่อ
This study explores career trends and opportunities for students in international programs within developing countries, with a focus on the factors that influence career expectations in the digital age. The research aims to (1) examine how demographic factors such as gender, age, and economic status, along with technology usage, shape career aspirations, and (2) identify the interplay between these factors in influencing career expectations. A total of 1,230 participants from Thailand were surveyed, with a pilot study of 668 respondents conducted to refine the survey instrument. The data were analyzed using logistic regression to assess the impact of various predictors on students’ career goals.
The findings revealed that; 1. Gender played a significant role in career preferences, with males more likely to choose international programs compared to females. 2. Younger participants exhibited higher career expectations, while financial capacity emerged as a key factor in shaping career ambitions. 3. Technology usage, including internet access, social media skills, and digital device use, was strongly linked to elevated career expectations, with both the amount of time spent online and the cost of internet usage influencing these expectations. These findings highlight the importance of promoting technology engagement and developing policies that better equip students for the demands of the digital workforce.
Article Details
อนุญาตภายใต้เงื่อนไข Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
เอกสารอ้างอิง
Altan, P. S. (2021). Impact of culture on career. TOGU Career Research Journal, 2(1), 1-7.
Alyoussef, I. Y., & Omer, O. M. A. (2023). Investigating student satisfaction and adoption of technology-enhanced learning to improve educational outcomes in Saudi higher education. Sustainability, 15(19), 14617.
Angwaomaodoko, E. (2023). Influence of Gender on Career Choice and Academic Performance, International Journal of Education, Learning and Development, 11(5), 1-14.
Bau, N., Rotemberg, M., Shah, M., & Steinberg, B. (2020). Human capital investment in the presence of child labor (Working Papers No. w27241). National Bureau of Economic Research.
Bork, H. (2018, November 14). Automotive manufacturing requires human innovation. Roland Berger.
Chemsripong, S. (2019). The determinants of international student movement into Thailand: Push and pull factors. Theoretical Economics Letters, 9(8), 2785-2799.
Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerization?. Technological Forecast and Social Change, 114, 254–280.
Goldin, C. (2024). Human capital. In C. Diebolt & M. Haupert (Eds.), Handbook of cliometrics (3rd ed., pp. 353-383). Springer.
Jangjarat, K., Kraiwanit, T., Limna, P., & Sonsuphap, R. (2023). Public perceptions towards ChatGPT as the Robo-Assistant. Online Journal of Communication and Media Technologies, 13(3), e202337.
Klayklung, P., Chocksathaporn, P., Limna, P., Kraiwanit, T., & Jangjarat, K. (2023). Revolutionizing education with ChatGPT: Enhancing learning through conversational AI. Universal Journal of Educational Research, 2(3), 217-225.
Kuzmin, O., Bublyk, M., Shakhno, A., Korolenko, O., & Lashkun, H. (2020). Innovative development of human capital in the conditions of globalization. In E3S Web of Conferences (Vol. 166, p. 13011). EDP Sciences.
Muthmainnah, M., Hasan, H., Al Yakin, A., Siripipatthanakul, S., & Limna, P. (2023). The effectiveness of learners adopting YouTube and Webcomics as English language teaching (ELT) materials. Edumaspul: Jurnal Pendidikan, 7(2), 3633-3648.
Nair, C. (2023) Technology in the Classroom and Its Impact on College Graduates. Creative Education, 14, 2358-2367.
Namraksa, S., & Kraiwanit, T. (2024). Determinants of Studying in International Schools in Thailand Amidst the Digital Economy. Proceedings of RSU International Research Conference 2024, 213-233.
Samrit, W. (2017). Factors that Influenced the Decision Making of Public High School Students in Bangkok to Study in Bachelor’s Degree, International Program. Journal of Humanities and Social Sciences, Rajapruk University, 2(3), 61–72.
Şensoy, A. (2023). Career Expectations of Career Application and Research Center Student Unit Representatives. TOGU Career Research Journal, 4(2), 26-37.
Shumba, A., & Naong, M. (2013). The influence of family income on students' career choice at universities of technology. South African Journal of Higher Education, 27(4), 1021-1037.
Siripipatthanakul, S., Limna, P., Kraiwanit, T., & Siripipattanakul, S. (2022, December). Predicting intention to use smart education technology during the COVID-19 pandemic: The case of higher education students in Thailand. In International Conference on Research and Development (Vol. 1, No. 2, pp. 8-22).
Sitthipon, T., Limna, P., Jaipong, P., Siripipattanakul, S., & Auttawechasakoon, P. (2022). Gamification predicting customers’ repurchase intention via e-commerce platforms through mediating effect of customer satisfaction in Thailand. Review of Advanced Multidisciplinary Sciences, Engineering & Innovation, 1(1), 1-14.
Thetlek, R., Kraiwanit, T., Limna, P., Shaengchart, Y., Jangjarat, K., & Chaisiripaibool, S. (2023). Financial technology environment for tokenization investment in a developing economy. Asian Journal of Business Environment, 13(3), 29-36.
Yates, J. F., & De Oliveira, S. (2016). Culture and decision making. Organizational behavior and human decision processes, 136, 106-118.
