Strategies for Leveraging Artificial Intelligence (AI) for the Management of Vocational Education Institutions to Excellence in Thailand’s Vocational Education Qualification Standards Framework
Keywords:
Artificial Intelligence (AI), Vocational Education Administration, Vocational Qualification Framework, Educational Excellence, CompetencyAbstract
The administration of vocational education institutions in the digital economy era faces the critical challenge of producing human resources with competencies aligned with labor market demands. This article presents concepts, theories, and strategic approaches for applying Artificial Intelligence (AI) to drive vocational education institutions towards excellence, guided by the Thai Vocational Qualification Framework (TVQF). AI’s role encompasses enhancing data management efficiency, analyzing and designing curricula to align with TVQF and future skills, creating personalized competency-based learning pathways, utilizing AI for accurate learning assessment and competency certification, supporting the development of educators as “competency coaches,” and strengthening collaboration with industry. Policy recommendations emphasize establishing a national AI master plan, developing data standards and a central platform, accelerating AI skill development for personnel, and fostering public-private-academic partnerships. Practical recommendations focus on creating institutional AI roadmaps, investing in infrastructure, selecting high-impact pilot projects, continuous staff development, and enhancing industry collaboration. Strategic and comprehensive AI implementation will enable vocational education institutions to produce high-quality graduates who meet national demands and serve as a vital force in driving the digital economy sustainably.
References
Marengo, A., Pagano, A., Pange, J. and Soomro, K.A. (2024). The educational value of artificial intelligence in higher education: a 10-year systematic literature review, Interactive Technology and Smart Education, vol. 21(4), October 2024, pp. 625–644.
Prahani, B. K., Rizki, I. A., Jatmiko, B., Suprapto, N. and Tan, A. (2022). Artificial Intelligence in education research during the last ten years: A review and bibliometric study. International Journal of Emerging Technologies in Learning, vol. 17(08), April 2022, pp. 169–188.
Hur, J.W. (2025). Fostering AI literacy: overcoming concerns and nurturing confidence among preservice teachers, Information and Learning Sciences, vol. 126(1–2), February 2025, pp. 56-74.
Mariyono, D. and Nur Alif Hd, A. (2025). AI’s role in transforming learning environments: a review of collaborative approaches and innovations, Quality Education for All, vol. 2(1), December 2025, pp. 265–288.
Phakamach, P., Panjarattanakorn, D., Saengkaew, P., Pangthai, S. and Onsampant, S. (2023). Innovative practices in vocational education administration, International Journal of Educational Communications and Technology, vol. 3(2), July – December 2023, pp. 1–19.
Mudkanna Gavhane, J. and Pagare, R. (2024). Artificial intelligence for education and its emphasis on assessment and adversity quotient: a review, Education + Training, vol. 66(6), October 2024, pp. 609–645.
Subaveerapandiyan, A., Vijay Kumar, R. and Prabhu, S. (2025). Marine information-seeking behaviours and AI chatbot impact on information discovery, Information Discovery and Delivery, vol. 53(2), March 2025, pp. 206–216.
Omran Zailuddin, M.F.N., Nik Harun, N.A., Abdul Rahim, H.A., Kamaruzaman, A.F., Berahim, M.H., Harun, M.H. and Ibrahim, Y. (2024). Redefining creative education: a case study analysis of AI in design courses, Journal of Research in Innovative Teaching & Learning, vol. 17(2), August 2024, pp. 282–296.
Radu, C., Ciocoiu, C.N., Veith, C. and Dobrea, R.C., (2024). Artificial Intelligence and Competency-Based Education: A Bibliometric Analysis, Amfiteatru Economic, vol. 26(65), January – June 2024, pp. 220–240.
Phakamach, P., Panjarattanakorn, D. and Senarith, P. (2023). Integrated Educational Management: Meaning, Objectives, Scope, Functions, and New Directions for Educational Organizations, Asian Education and Learning Review, vol. 1(1), January – June 2023, pp. 19–34.
Zhao, Y. and Ko, J. (2024). Vocational teachers’ perceptions on workplace learning in facilitating students’ professional engagement in the context of industry-university collaboration in China, Journal of Workplace Learning, vol. 36(4), May 2024, pp. 282–297.
Jafari, F. and Keykha, A. (2024). Identifying the opportunities and challenges of artificial intelligence in higher education: a qualitative study, Journal of Applied Research in Higher Education, vol. 16(4), July 2024, pp. 1228–1245.
Bilal, D., He, J. and Liu, J. (2025). Guest editorial: AI in education: transforming teaching and learning, Information and Learning Sciences, vol. 126(1-2), February 2025, pp. 1–7.
Aad, S. and Hardey, M. (2025). Generative AI: hopes, controversies and the future of faculty roles in education, Quality Assurance in Education, vol. 33(2), February 2025, pp. 267–282.
Zawacki-Richter, O., Bai, J.Y.H., Lee, K., Slagter van Tryon, P.J. and Prinsloo, P. (2024). New advances in artificial intelligence applications in higher education?, International Journal of Educational Technology in Higher Education, vol. 21(32), May 2024, pp. 1–4.
Chen, K., Tallant, A.C. and Selig, I. (2025). Exploring generative AI literacy in higher education: student adoption, interaction, evaluation and ethical perceptions, Information and Learning Sciences, vol. 126(1-2), February 2025, pp. 132–148.
Routray, R. and Khandelwal, K. (2024). Artificial intelligence (AI) adoption: do Generation Z students feel technostress in deploying AI for completing courses of study at universities?, Asian Education and Development Studies, vol. 13(5), November 2024, pp. 534–545.
Saha, P., Hossain, M.S., Roy, N.C., Masud, A.A. and Amin, R. (2025). Unlocking the power of AI in education: students’ intentions and AI tool use driving learning success in an emerging economy, On the Horizon, vol. 33(1), February 2025, pp. 126–144.
Isiaku, L., Muhammad, A.S., Kefas, H.I. and Ukaegbu, F.C. (2024). Enhancing technological sustainability in academia: leveraging ChatGPT for teaching, learning and evaluation, Quality Education for All, vol. 1(1), December 2024, pp. 385–416.
Hardaker, G. and Glenn, L.E. (2025). Artificial intelligence for personalized learning: a systematic literature review, International Journal of Information and Learning Technology, vol. 42(1), January 2025, pp. 1–14.
Fan, Y., Tang, L., Le, H., Shen, K., Tan, S., Zhao, Y., Shen, Y., Li, X. and Gašević, D. (2024). Beware of metacognitive laziness: effects of generative artificial intelligence on learning motivation, processes, and performance, British Journal of Educational Technology, vol. 56(2), December 2024, pp. 489–530
Salinas-Navarro, D.E., Vilalta-Perdomo, E., Michel-Villarreal, R. and Montesinos, L. (2024). Designing experiential learning activities with generative artificial intelligence tools for authentic assessment, Interactive Technology and Smart Education, vol. 21(4), October 2024, pp. 708–734.
Venter, I.M., Blignaut, R.J., Cranfield, D.J., Tick, A. and Achi, S.E. (2025). AI versus tradition: shaping the future of higher education, Journal of Applied Research in Higher Education, vol. 17(7), December 2025, pp. 151–167.
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