Literasi Keuangan Digital Berbasis Artificial Intelligence Dan Kesiapan Karier Mahasiswa Pendidikan Ekonomi: Peran Edupreneurial Mindset Sebagai Variabel Mediasi
Kata Kunci:
Literasi Keuangan Digital, Artificial Intelligence, Edupreneurial Mindset, Kesiapan Karier, Pendidikan EkonomiAbstrak
Transformasi digital dan perkembangan artificial intelligence (AI) telah mengubah cara mahasiswa belajar, mengelola keuangan, membangun kompetensi kerja, serta merancang peluang karier di masa depan. Mahasiswa Pendidikan Ekonomi tidak hanya dituntut menjadi calon guru ekonomi, tetapi juga perlu memiliki literasi keuangan digital, kemampuan adaptasi teknologi, dan pola pikir edupreneurial agar mampu berkontribusi dalam ekosistem pendidikan dan ekonomi digital. Penelitian ini bertujuan untuk menganalisis pengaruh literasi keuangan digital berbasis AI terhadap kesiapan karier mahasiswa Pendidikan Ekonomi dengan edupreneurial mindset sebagai variabel mediasi. Penelitian ini menggunakan pendekatan kuantitatif dengan desain survei. Data simulasi dikembangkan dari 185 responden mahasiswa Pendidikan Ekonomi yang dianalisis menggunakan regresi linear dan uji mediasi. Instrumen penelitian terdiri atas tiga variabel utama, yaitu literasi keuangan digital berbasis AI, edupreneurial mindset, dan kesiapan karier. Hasil penelitian menunjukkan bahwa literasi keuangan digital berbasis AI berpengaruh positif terhadap edupreneurial mindset. Literasi keuangan digital berbasis AI juga berpengaruh positif terhadap kesiapan karier mahasiswa. Selain itu, edupreneurial mindset terbukti memediasi hubungan antara literasi keuangan digital berbasis AI dan kesiapan karier. Temuan ini menunjukkan bahwa kemampuan mahasiswa dalam memahami keuangan digital dan memanfaatkan AI tidak cukup hanya diarahkan pada keterampilan teknis, tetapi perlu dikembangkan menjadi pola pikir inovatif, kreatif, dan berorientasi pada penciptaan nilai pendidikan. Novelty penelitian ini terletak pada integrasi literasi keuangan digital berbasis AI, edupreneurial mindset, dan kesiapan karier dalam konteks Pendidikan Ekonomi. Penelitian ini merekomendasikan penguatan kurikulum Pendidikan Ekonomi melalui pembelajaran berbasis proyek digital, simulasi fintech, pemanfaatan AI secara etis, dan pengembangan produk edupreneurship.
Referensi
Bridgstock, R. (2009). The graduate attributes we have overlooked: Enhancing graduate employability through career management skills. Higher Education Research & Development, 28(1), 31–44. https://doi.org/10.1080/07294360802444347
Chiu, T. K. F. (2023). The impact of generative AI on education: A systematic review. Computers and Education: Artificial Intelligence, 5, 100174. https://doi.org/10.1016/j.caeai.2023.100174
European Commission. (2022). Ethical guidelines on the use of Artificial Intelligence and data in teaching and learning for educators. Publications Office of the European Union.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Jackson, D., & Tomlinson, M. (2020). Investigating the relationship between career planning, proactivity and employability perceptions among higher education students in uncertain labour market conditions. Higher Education, 80, 435–455. https://doi.org/10.1007/s10734-019-00490-5
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., Stadler, M., Weller, J., Kuhn, J., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Lackéus, M. (2015). Entrepreneurship in education: What, why, when, how. OECD Publishing.
Lusardi, A. (2019). Financial literacy and the need for financial education: Evidence and implications. Swiss Journal of Economics and Statistics, 155, 1–8. https://doi.org/10.1186/s41937-019-0027-5
McGuinness, S., Pouliakas, K., & Redmond, P. (2018). Skills mismatch: Concepts, measurement and policy approaches. Journal of Economic Surveys, 32(4), 985–1015. https://doi.org/10.1111/joes.12254
Morgan, P. J., Huang, B., & Trinh, L. Q. (2019). The need to promote digital financial literacy for the digital age. The Future of Work and Education for the Digital Age. Asian Development Bank Institute.
Nabi, G., Liñán, F., Fayolle, A., Krueger, N., & Walmsley, A. (2017). The impact of entrepreneurship education in higher education: A systematic review and research agenda. Academy of Management Learning & Education, 16(2), 277–299. https://doi.org/10.5465/amle.2015.0026
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualising AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041
OECD. (2020). OECD/INFE 2020 international survey of adult financial literacy. OECD Publishing.
OECD. (2021). OECD digital education outlook 2021: Pushing the frontiers with Artificial Intelligence, blockchain and robots. OECD Publishing.
Ratten, V., & Usmanij, P. (2021). Entrepreneurship education: Time for a change in research direction? The International Journal of Management Education, 19(1), 100367. https://doi.org/10.1016/j.ijme.2020.100367
Redecker, C. (2017). European framework for the digital competence of educators: DigCompEdu. Publications Office of the European Union.
Savickas, M. L. (2013). Career construction theory and practice. In R. W. Lent & S. D. Brown (Eds.), Career development and counselling: Putting theory and research to work (2nd ed., pp. 147–183). Wiley.
Tomlinson, M. (2017). Forms of graduate capital and their relationship to graduate employability. Education + Training, 59(4), 338–352. https://doi.org/10.1108/ET-05-2016-0090
UNESCO. (2021). AI and education: Guidance for policy-makers. UNESCO.
UNESCO. (2022). Reimagining our futures together: A new social contract for education. UNESCO.
UNESCO. (2023). Guidance for generative AI in education and research. UNESCO.
Vuorikari, R., Kluzer, S., & Punie, Y. (2022). DigComp 2.2: The digital competence framework for citizens. Publications Office of the European Union.
Yorke, M. (2006). Employability in higher education: What it is and what it is not. Higher Education Academy.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on Artificial Intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16, 39. https://doi.org/10.1186/s41239-019-0171-0.












