TÜRKİYE’DE MESLEKİ EĞİTİMİ GÜÇLENDİRMEK İÇİN BİR YOL HARİTASI

Year 2024, Volume: 5 Issue: 1, 100 - 111, 30.06.2024

Mahmut Özer

https://doi.org/10.69643/kaped.1412082

Abstract

ÖZ
Mesleki eğitim ülkelerin kalkınmasına ve genç işsizliğin düşürülmesine en fazla katkı yapan eğitim türlerinin başında gelmektedir. Bu nedenle ülkeler, eğitim sistemlerinde mesleki eğitimi güçlendirmek için sürekli bir çaba içerisindedir. Aksi durum hem işgücü piyasasında hem de eğitim sisteminde büyük maliyetler ödenmesine yol açmaktadır. Son zamanlarda özellikle yapay zekâ ve otomasyon teknolojilerinin yaygınlaşması tüm eğitim sisteminde köklü dönüşümler yapılmasını talep ederken bu dönüşüm talepleri mesleki eğitimi çok daha derinden etkilemektedir. Ülkeler mesleki eğitimi güçlendirmek için hemen hemen benzer sorunları çözmeye çalışmaktadır. Bu bağlamda Türkiye mesleki eğitimde özellikle son yıllarda çok önemli dönüşümler yaparak bu sorunların çözümünde önemli başarılar elde etmiştir. Bu dönüşüm sonunda mesleki eğitime akademik olarak başarılı öğrencilerin yönelimi arttığı gibi mesleki eğitimin ortaöğretimdeki payı da %28’den %52’ye yükselmiştir. Özellikle küçük ve orta ölçekli işletmelerin çırak, kalfa ve usta ihtiyacının karşılanmasında çok dramatik sonuçlar elde edilmiştir. Bu çalışmada bu kapsamda yaşanan dönüşüm kısaca değerlendirilmekte ve mesleki eğitimin çok daha güçlü hale gelebilmesi için öneriler sunulmaktadır. Öneriler, mesleki eğitim merkezlerinin mesleki eğitimdeki payı, bu merkezlerde beceri transferine imkân verecek telafi programlarının geliştirilmesi, mesleki eğitim merkezlerindeki programlarda süre esnekliği, meslek liselerindeki programların gözden geçirilmesi ve mesleki ortaöğretim ve yükseköğretim ilişkilerinin yeniden gözden geçirilmesini kapsamaktadır. Gelinen noktada yeni yol haritası kapsamında atılacak adımlar mesleki eğitimi çok daha güçlü ve dirençli kılacağı gibi özellikle genç işsizliğin azaltılmasında da çok önemli katkılar sunabilecektir.

Keywords

Mesleki eğitim, Genç işsizliği, Yapay zekâ, İstihdam, İşgücü piyasası

A ROADMAP TO IMPROVE VOCATIONAL EDUCATION AND TRAINING IN TÜRKİYE

Abstract

Vocational education and training (VET) ranks among the most significant contributors to the sustainable development of countries and the alleviation of youth unemployment. Therefore, countries are constantly making efforts to strengthen VET systems. An inadequate and ineffective VET system can result in significant costs both in the labor market and the education system. Recently, the widespread adoption of artificial intelligence (AI) and automation technologies has called for radical transformations throughout the education system, profoundly affecting VET. Countries are striving to address similar challenges in improving VET systems. In this context, Türkiye has made significant transformations in its VET systems in recent years, achieving notable success in solving chronic problems. As a result of this transformation, the orientation of academically high-performing students toward VET has increased significantly, and the share of VET track in upper-secondary school has risen from 28% to 52%, and increased the OECD average. Particularly, dramatic results have been achieved in apprenticeship training through meeting the apprentice, journeyman, and master needs of small and medium-sized enterprises. This study briefly examines the transformation within this scope and presents recommendations for the acceleration of improvement of VET system. The recommendations include growing role of VET centers (VTCs), developing compensatory programs in VTCs to facilitate skill transfer, introducing flexibility in the duration of VCT programs, reviewing education programs and curricula in VET high schools, and reconsidering the relationship between secondary VET education and higher education. At this point, the steps to be taken within the framework of the new roadmap can make VET much stronger and resilient, especially in reducing youth unemployment.

Keywords

Vocational education and training, Youth unemployment, Artificial intelligence, Employment, Labor market

References

• Acemoğlu, D., & Restrepo, P. (2018). Artificial intelligence, automation and work. NBER Working Paper 24196. National Bureau of Economic Research, Cambridge.
• Aghion, P., & Howitt, P. (1990). A model of growth through creative destruction. NBER Working Paper 3223 (National Bureau of Economic Research, Cambridge, MA).
• Aghion, P., & Howitt, P. (1994). Growth and unemployment. Rev Econ Stud, 61, 477–494.
• Anisimova, A.N., Efremova, Y.I. (2022). Digital transformation of vocational education: Challenges of modern society. In: Ashmarina, S.I., Mantulenko, V.V. (Eds), Digital technologies in the new socio-economic reality. ISCDTE 2021. Lecture Notes in Networks and Systems, vol 304. Springer, Cham.
• Arntz, M., Gregory, T., & Zierahn, U. (2016). The risk of automation for jobs in OECD countries: A comparative analysis. OECD Social, Employment and Migration Working Paper 189.
• Bartelsman, E., Haltiwanger, J., & Scarpetta, S. (2004). Microeconomic evidence of creative destruction in industrial and developing countries. Washington, DC: World Bank.
• Benavot, A. (1983). The rise and decline of vocational education. Sociology of Education, 56, 63-76.
• Bessen, J. E. (2016). How computer automation affects occupations: Technology, jobs, and skills. Law and Economics Research Paper, 15-49. Boston University School of Law, Boston.
• Bol, T., & van de Werfhorst, H. G. (2013a). The measurement of tracking, vocational orientation, and standardization of educational systems: a comparative approach. GINI Discussion Paper 81:1–42.
• Bol, T., & van de Werfhorst, H. G. (2013b). Educational systems and the trade-off between labor market allocation and equality of educational opportunity. Comp Educ Rev, 57(2), 285–308.
• Borghans, L., Diris, R., Smits, W., & de Vries, J. (2020). Should we sort it out later? The effect of tracking age on long-run outcomes. Economics of Education Review, 75, 101973.
• Building better formal TVET systems: Principles and practice in low- and middle-ıncome countries (English). World Bank Group.
• Canbal, M. S., Kerkez, B., Suna, H. E., Numanoğlu, K. V., & Özer, M. (2020). Mesleki ve teknik ortaöğretimde paradigma değişimi için yeni bir adım: Eğitim programlarının güncellenmesi. Eğitim ve İnsan Bilimleri Dergisi, 11(21), 1-25.
• Çidem, Y., Yalım, F., Saka, F., Özer, M., Suna, H. E., & Numanoğlu, K. V. (2021). How compatible is the supply of vocational education and training graduates with labor market demands in Turkey? Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi, 41(2), 1023-1050.
• Deissinger, T. (2015). The German dual vocational education and training system as ‘good practice’? Local Economy, 30(5), 557-567.
• Deissinger, T., Aff, J., Fuller, A., & Jorgensen, C. H. (Eds.) (2013). Hybrid qualifications-structural and political ıssues in the context of European VET policy. Peter Lang: Studies in Vocational and Continuing Education.
• Deming, D., & Kahn, L. B. (2018). Skill requirements across firms and labor markets: Evidence from job postings for professionals. Journal of Labor Economics, 36, S337-S369.
• DiPrete, T. A., Eller, C. C., Bol, T., & Van de Werfhorst, H. G. (2017). School-to-work linkages in the United States, Germany, and France. American Journal of Sociology, 122(6), 1869-1938.European Commission (2015). European employment policy observatory review: Upskilling unemployedadults (aged 25 to 64): The organisation, profiling and targeting of training provision. European Union Publishing.
• Flynn, P. M. (1986). Vocational education and economic development: The need for balance. ERIC Database.
• Frank, M. R., Autor, D., Bessen, J. E. et al (2019). Toward understanding the impact of artificial intelligence on labor. PNAS, 116(14), 6531-6539.
• Grubb, W. N. (1985). The convergence of educational systems and the role of vocationalism. Comparative Education Review, 29, 526-548.
• Hanushek, E. A., Schwerdt, G., Woessman, L., & Zhang, L. (2017). General education, vocational education, and labor-market outcomes over the life-cycle. The Journal of Human Resources, 52(1), 48-87.
• Hanushek, E. A., Woessman, L., & Zhang, L. (2011). General education, vocational education, and labor-market outcomes over the life-cycle. NBER Working Paper 17504. National Bureau of Economic Research, Cambridge.
• Knigge, A., Maas, I., Stienstra, K. et al. (2022). Delayed tracking and inequality of opportunity: Gene-environment interactions in educational attainment. npj Sci. Learn., 7, 6.
• Ladina, R., & Ursula, R. (2017). The linkage between the education and employment systems: Ideal types of vocational education and training programs. KOF Working Papers 432, KOF Swiss Economic Institute.
• Levin, V., Santos, I.V., Weber, M., Iqbal, S., Aroob, A.A., Comyn, P., J., Katayama, H., Hoftijzer, M. A. (2023).
• Li L. (2022). Reskilling and upskilling the future-ready workforce for industry 4.0 and beyond. Information Systems Frontiers: A Journal of Research and Innovation, 1–16. Advance online publication. https://doi.org/10.1007/s10796-022-10308-y
• Lopes, A. S., Rebelo, I., Costa, R., & Ferreira, V. (2023). Supply and demand matching of VET skills-a regional study. Cogent Education, 10(1), 2200550.
• Muja, A., Blommaert, L., Gesthuizen, M., & Wolbers, M. H. J. (2019). The vocational impact of educational programs on youth labor market. Research in Social Stratification and Mobility, 64, 100437
• Müller, W., & Gangl, M. (2003). Transitions from education to work in Europe. Oxford University Press, Oxford/NY.
• Müller, W., & Shavit, Y. (1998). The institutional embeddedness of the stratification process. A comparative study of qualifications and occupations in thirteen countries. Shavit, Y., Müller. W. (eds) From school to work. A comparative study of educational qualifications and occupational destinations içinde (ss. 1–47). Oxford: Clarendon Press.
• OECD (2020). Education at a glance 2020: OECD indicators. OECD Publishing.
• OECD (2023a). OECD employment outlook 2023: Artificial intelligence and the labour market. OECD Publishing.
• OECD (2023b). Taking stock of education reforms for access and quality in Türkiye. OECD Publishing.
• Özer, M. (2018). The 2023 Education Vision and new goals in vocational and technical education. Journal of Higher Education and Science, 8(3), 425-435
• Özer, M. (2019a). Reconsidering the fundamental problems of vocational education and training in Turkey and proposed solutions for restructuring. İstanbul Üniversitesi Sosyoloji Dergisi, 39(2), 1-19.
• Özer, M. (2019b). Background of problems in vocational education and training and its road map to solution in Turkey’s Education Vision 2023. Journal of Higher Education and Science, 9(1), 1-11.
• Özer, M. (2020a). Mesleki eğitimde okuldan işe geçişi etkileyen yeni parametreler: Küresel dönüşümde yeni eğilimler. İnsan ve Toplum, 10(3), 1-27.
• Özer, M. (2020b). Mesleki eğitimde paradigma değişimi: Türkiye’nin mesleki eğitim İle İmtihanı. Maltepe Üniversitesi Yayınları.
• Özer, M. (2020c). The contribution of the strengthened capacity of vocational education and training system in Turkey to the fight against Covid-19. Journal of Higher Education, 10(2), 134-140.
• Özer, M. (2020d). Vocational education and training as “a friend in need” during coronavirus pandemic in Turkey. Bartın University Journal of Faculty of Education, 9(2), 1-7.
• Özer, M. (2021a). Türkiye’de mesleki eğitimi güçlendirmek için atılan yeni adımlar. Uluslararası Türk Eğitim Bilimleri Dergisi, 9(16), 1-16.
• Özer, M. (2021b). A new step towards narrowing the achievement gap in Turkey: “1,000 Schools in vocational education and training” Project. Bartın University Journal of Faculty of Education, 10(1), 97-108.
• Özer, M. (2023a). Education policy actions by the Ministry of National Education after the earthquake disaster- on february 6, 2023 in Türkiye. Bartın University Journal of Faculty of Education, 12(2):1-14.
• Özer, M. (2023b). An evaluation of the transformation in the Turkish education system in the last twenty years based on the OECD report “Taking stock of education reforms for access and quality”. Journal of Higher Education and Science, 13(2), 148-163.
• Özer, M., & Perc, M. (2020). Dreams and realities of school tracking and vocational education. Palgrave Communications, 6, 34.
• Özer, M., & Suna, H. E. (2019). Future of vocational and technical education in Turkey: Solid steps taken after Education Vision 2023. Journal of Education and Humanities, 10(20), 165-192.
• Özer, M., & Suna, H. E. (2020). The linkage between vocational education and labor market in Turkey: Employability and skill mismatch. Kastamonu Education Journal, 28(2), 558-569.
• Özer, M., & Suna, H. E. (2022a). The intellectual property rights in the national technology initiative: Recent educational improvements in Türkiye. National Technology Initiative: Social Reflections and Türkiye’s Future, 7-26. TÜBA.
• Özer, M., & Suna, H. E. (2022b). A new roadmap for skilling and upskilling (R&U) in Türkiye: Vocational training center skill development programs. Kastamonu Educational Journal, 30(4), 914-924.
• Özer, M., & Suna, H. E. (2022c). 3308 sayılı Mesleki Eğitim Kanunu’nda yapılan değişiklik sonrası mesleki eğitim merkezi programlarının 2022 yılı ilk üç aylık performans değerlendirmesi. Uluslararası Türk Eğitim Bilimleri Dergisi, 10(18), 1-17.
• Özer, M., & Suna, H. E. (2023a). The new design of the vocational education & training system in Türkiye: Recent improvements & Initial outcomes. TRT World Research Centre, Discussing Paper.
• Özer, M., & Suna, H. E. (2023b). Youth not in employment, education or training (NEET): Current policies and improvements in Türkiye. TRT World Research Centre, Discussing Paper.
• Özer, M., Suna, H. E., Perc, M., Şensoy, S., & İlikhan, S. U. (2022). Turkey’s transition to face-to-face schooling during the COVID-19 pandemic. Turkish Journal of Medical Sciences, 52, 529-540. Pajarinen, M., Rouvinen, P., & Ekeland, A. (2015). Computerization threatens one-third of Finnish and Norwegian employment. ETLA Brief 34.
• Perc, M., Özer, M., & Hojnik, J. (2019). Social and juristic challenges of artificial intelligence. Palgrave Communication, 5, 61.
• Prashant, L., Xiaoting, H., Linxiu, Z., Jianguo, W., Hongmei, Y., Yingquan, S., Yaojiang, S., & James, C. (2016). The Impact of vocational schooling on human capital development in developing countries: Evidence from China. The World Bank Economic Review, 30(1), 143-170.
• Rözer, J., & Van de Werfhorst, H. (2020). Three worlds of vocational education: Specialized and general craftsmanship in France, Germany, and the Netherlands. European Sociological Review, 1-18.
• Sevilla, M. P., & Polesel, J. (2022). Vocational education and social inequalities in within- and between-school curriculum tracking. Compare: A Journal of Comparative and International Education, 52(4), 581-599.
• Shavit, Y., & Müller, W. (2000). Vocational secondary education: where diversion and where safety net? European Societies, 2(1), 29-50.
• Solga, H., Protsch, P., Ebner, C., & Brzinsky-Fay, C. (2014). The German vocational education and training system: its institutional configuration, strength, and challenges. WZB Discussion Paper SP-I-2014-502
• Suna, H. E., & Özer, M. (2021). Impact of school tracking on secondary vocational education and training in Turkey. Hacettepe University Journal of Education, 36(4), 855-870.
• Suna, H. E., Tanberkan, H. Eroğlu, E., Özer, M., & Gür, B. S. (2020). Horizontal skill mismatch in vocational education in Turkey: The reasons for out-of-field employment. İstanbul Üniversitesi Sosyoloji Dergisi, 40(2), 931-955.
• Woessmann, L. (2009). International evidence on school tracking: A review. CESifo DICE Rep, 1, 26–34.
• Zhao, H., Stoyanets, N., Cui, L., & Li, G. (2022). Strategy of vocational education adapting to social and economic development. Journal of Innovations and Sustainability, 6(1), 03.
• Zhou, Y., & Xu, G. (2023). Vocational school-enterprise cooperation