Digital Competence and Adaptability
Keys to Career Readiness in the Era of Artificial Intelligence
DOI:
https://doi.org/10.55208/g028hy97Keywords:
Digital Competence, Adaptive Capability, Career ReadinessAbstract
This research aims to determine the influence of Digital Competence and Adaptive Capability on the Career Readiness of Students at the Faculty of Economics and Business. The population of this research was 372 students from the Faculty of Economics and Business with a sample size of 79 using the Slovin formula with purposive sampling technique. This research is quantitative descriptive. The data collection method in the research uses primary data, namely questionnaires via form and secondary data. The data analysis technique uses multiple linear regression analysis with SPSS software ver 25. Based on the findings, it shows that partially the Digital Competence variable and the Adaptive Capability variable have an effect on Career Readiness. And simultaneously the Digital Competence and Adaptive Capability variables on Career Readiness in students at the Faculty of Economics and Business. This linear regression model with independent variables (Digital Competence and Adaptive Capability), has proven to be very effective in explaining the dependent variable (Career Readiness) because it approaches the value of one (1). These findings provide an important contribution in designing more effective curriculum development strategies to improve student career readiness in the digital era.
References
Civilcharran, S., & Maharaj, M. S. (2019). A framework to determine the digital skills preparedness of graduates for industry. 2018 International Conference on Intelligent and Innovative Computing Applications, ICONIC 2018, 1–6. https://doi.org/10.1109/ICONIC.2018.8601250
Ghozali, I. (2018). Aplikasi Analisis Multivariate dengan Program IBM SPSS 25. Badan Penerbit Universitas Diponegoro.
Huang, X. (2021). Aims for cultivating students’ key competencies based on artificial intelligence education in China. Education and Information Technologies, 26(5), 5127–5147. https://doi.org/10.1007/s10639-021-10530-2
Island, F., Islands, G., Fuke, Y., Iwasaki, T., Sasazuka, M., & Yamamoto, Y. (2021). 福家悠介 1 ・岩﨑朝生 2 ・笹塚 諒 3 ・山本佑治 4. 71(1), 63–71.
Ketamo, H., Moisio, A., Passi-Rauste, A., & Alamäki, A. (2019). Mapping the Future Curriculum: Adopting Artifical Intelligence and Analytics in Forecasting Competence Needs. Proceedings of the 10th European Conference on Intangibels and Intellectual Capital ECIIC 2019, 24-25 May, 144–153.
Koivisto, P., Vinokur, A. D., & Vuori, J. (2011). Effects of career choice intervention on components of career preparation. Career Development Quarterly, 59(4), 345–366. https://doi.org/10.1002/j.2161-0045.2011.tb00074.x
Kolmos, A., Hadgraft, R. G., & Holgaard, J. E. (2016). Response strategies for curriculum change in engineering. International Journal of Technology and Design Education, 26(3), 391–411. https://doi.org/10.1007/s10798-015-9319-y
Lent, R. W. (2013). Career-life preparedness: Revisiting career planning and adjustment in the new workplace. Career Development Quarterly, 61(1), 2–14. https://doi.org/10.1002/j.2161-0045.2013.00031.x
Marciniak, J., Johnston, C. S., Steiner, R. S., & Hirschi, A. (2022). Career Preparedness Among Adolescents: A Review of Key Components and Directions for Future Research. Journal of Career Development, 49(1), 18–40. https://doi.org/10.1177/0894845320943951
Martoyo, S. (2015). Manajemen Sumberdaya Manusia, edisi ketiga. BPFE.
Ployhart, R. E., & Bliese, P. D. (2015). Understanding Adaptability : A Prerequisite for Effective Performance within Complex Environments Article information : Advances in Human Performance and Cognitive Engineering, 6, v–vi.
Potgieter, I., Coetzee, M., & Ferreira, N. (2023). University students’ digital world of work readiness in relation to their employability competency. Journal of Learning Development in Higher Education, 27. https://doi.org/10.47408/jldhe.vi27.922
Potgieter, I. L., Coetzee, M., Ferreira, N., & Bester, M. S. (2020). Facets of career agility as explanatory mechanisms of employees’ career adaptability. African Journal of Career Development, 2(1). https://doi.org/10520/EJC-2092c77f7d
Roll, I., & Wylie, R. (2016). Evolution and Revolution in Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education, 26(2), 582–599. https://doi.org/10.1007/s40593-016-0110-3
Sari, N. K., Budiarto, M. T., & Ekawati, R. (2023). Level Kompetensi Digital Mahasiswa Pada Bidang Pemecahan Masalah. SJME (Supremum Journal of Mathematics Education), 7(1), 45–54. https://doi.org/10.35706/sjme.v7i1.6629
Sasmoko, S., Mihardjo, L., Alamsjah, F., & ... (2019). Dynamic capability: The effect of digital leadership on fostering innovation capability based on market orientation. Management Science ….
Strate, I. M. (2023). Linking Motivation and Competence: The Impact of Digital Skills on Career Preparedness Among College Students. San Diego State University ProQuest Dissertations Publishing, 1–23.
Tuomi, I. (2018). The Impact of Artificial Intelligence on Learning, Teaching, and Education. Policies for the future (pp. 147–155). Publications Office of the European Union. https://doi.org/10.2760/12297
Wei, L. Q., & Lau, C. M. (2010). High performance work systems and performance: The role of adaptive capability. Human Relations, 63(10), 1487–1511. https://doi.org/10.1177/0018726709359720
Williams, A., & Bangun, C. S. (2022). Artificial Intelligence System Framework in Improving The Competence of Indonesian Human Resources. International Journal of Cyber and IT Service Management, 2(1), 82–87. https://doi.org/10.34306/ijcitsm.v2i1.91
Zhou, W., Guan, Y., Xin, L., Mak, M. C. K., & Deng, Y. (2016). Career success criteria and locus of control as indicators of adaptive readiness in the career adaptation model. Journal of Vocational Behavior, 94, 124–130. https://doi.org/10.1016/j.jvb.2016.02.015
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