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Türkiye'nin Eğitim Stratejileri ve Politika Belgelerinin Dijital Dönüşüm, Kalkınma ve Yapay Zekâ Bağlamında İncelenmesi

Yıl 2026, Cilt: 41 Sayı: 2 , 371 - 393 , 30.04.2026
https://doi.org/10.16986/hunefd.1705823
https://izlik.org/JA54ST27FB

Öz

Bu çalışmada, Türkiye'nin eğitim stratejileri ve politika belgeleri sistematik olarak analiz edilmiştir. Analiz edilen belgelerin dijital dönüşüm, kalkınma ve yapay zeka (AI) uyumluluğu değerlendirilmiştir. Böylelikle ülkenin eğitim politikasına kapsamlı bir genel bakış sağlanması amaçlanmıştır. Çalışmada politika belgelerinin amacı ve kapsamı, ana temaları, hedefleri, bulguları, eğitimde yapay zekâ kullanımı, eğitim başarı kriterleri ve paydaş görüşleri gibi unsurlar detaylı bir şekilde analiz edilmiştir. İçerik analizi yöntemi kullanılarak yapılan çalışmada, dokümanlar belirli kriterlere göre seçilmiştir. Daha sonra kodlama yapılmış ve temalar belirlenmiştir. Bulgular, Türkiye'de eğitim politikalarının dijital dönüşüm, dijitalleşme ve yapay zekânın eğitimde kullanımı gibi ana temalar etrafında şekillendiğini göstermektedir. Özellikle eğitimdeki eşitsizlikler, öğretmen açığı ve dijital altyapı yetersizliği gibi sorunlar ön plana çıkmaktadır. Yapay zekânın eğitimde kişiselleştirilmiş öğrenme, öğretmen desteği ve müfredat geliştirme gibi alanlarda önemli fırsatlar sunduğu ancak veri gizliliği ve eşitsizlik gibi etik kaygıların da olduğu tespit edilmiştir. Gözlemlenen sorunları çözmek ve Türkiye'nin eğitim sisteminin dijital dönüşümünü hızlandırmak ve yapay zeka kullanımını artırmak için dijital altyapının iyileştirilmesi, öğretmen eğitiminin iyileştirilmesi, yapay zeka kullanımı için etik kuralların oluşturulması, eğitim materyallerinin dijitalleştirilmesi, paydaşların süreçlere dahil edilmesi ve yapay zeka eğitiminde Ar-Ge'nin desteklenmesi gibi önerilerde bulunulabilir.

Kaynakça

  • Abdelaziz, S. (2022). The relation between good governance and improving performance in the higher education -HE- institutions. Business and Management Studies, 8(2), 24. https://doi.org/10.11114/bms.v8i2.5789
  • Ahmad, N., Shaheen, N., & Hussain, S. (2024). Gender disparities in universal primary education: An analysis of women's education and policy implications in Pakistan (1947–2017). European Journal of Education, 59(2). https://doi.org/10.1111/ejed.12638
  • Alam, S., Hameed, A., Madej, M., & Kobylarek, A. (2024). Perception and practice of using artificial intelligence in education: An opinion-based study. XLinguae, 17(1), 216-233. https://doi.org/10.18355/xl.2024.17.01.15
  • Alenezi, F. (2023). Artificial intelligence versus Arab universities: An enquiry into the Saudi context. Humanities and Management Sciences - Scientific Journal of King Faisal University, 1-7. https://doi.org/10.37575/h/edu/220038
  • Alkan, A. (2024). Artificial intelligence: Its role and potential in education. Journal of Human and Social Sciences Research, 13(1), 483-497. https://doi.org/10.15869/itobiad.1331201
  • Arvin, N., Hoseinabady, M., Bayat, B., & Zahmatkesh, E. (2023). Teacher experiences with AI-based educational tools. AI and Tech in Behavioral and Social Sciences, 1(2), 26-32. https://doi.org/10.61838/kman.aitech.1.2.5
  • Berrocoso, J. V., Sánchez, M. R. F., Domínguez, F. I. R., & Díaz, M. J. S. (2021). The educational integration of digital technologies preCOVID-19: Lessons for teacher education. Plos One, 16(8), e0256283. https://doi.org/10.1371/journal.pone.0256283
  • Bobrytska, V. I., Krasylnykova, H. V., Beseda, N. А., Krasylnykov, S. R., & Skyrda, T. S. (2024). Artificial intelligence (AI) in Ukrainian higher education: A comprehensive study of stakeholder attitudes, expectations and concerns. International Journal of Learning, Teaching and Educational Research, 23(1), 400-426. https://doi.org/10.26803/ijlter.23.1.20
  • Boesch, I., Schwaninger, M., Weber, M., & Scholz, R. (2013). Enhancing validity and reliability through feedback-driven exploration: A study in the context of conjoint analysis. Systemic Practice and Action Research, 26(3), 217–238. https://doi.org/10.1007/s1121 3-012-9248-6
  • Bogdan, R., & Biklen, S. K. (1997). Qualitative research for education. Allyn & Bacon.
  • Börner, K., Scrivner, O., Gallant, M., Ma, S., Liu, X., Chewning, K., … & Evans, J. A. (2018). Skill discrepancies between research, education, and jobs reveal the critical need to supply soft skills for the data economy. Proceedings of the National Academy of Sciences, 115(50), 12630-12637. https://doi.org/10.1073/pnas.1804247115
  • Chand, S. P. (2024). Bridging the gaps in quality education. The Educational Review, USA, 8(2), 202-210. https://doi.org/10.26855/er.2024.02.001
  • Chukwubueze, N. V., & Vinella, O. (2024). Artificial intelligence and future of secondary education in Delta State: Implications for educational administration. Journal of Asian Scientific Research, 14(3), 277-288. https://doi.org/10.55493/5003.v14i3.5073
  • Deloitte & TÜSİAD (2021). The Future of Software Ecosystem in Turkey.
  • Demboh, P., & Susanti, D. (2021). Global trends in educational policy implementation and the complexity of quality in education: A Cameroonian perspective. INSECTA: Integrative Science Education and Teaching Activity Journal, 2(1), 31-43. https://doi.org/10.21154/insecta.v2i1.2671
  • Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
  • EPAM. (2025). Redesigning education: 21st-century skills. İlim Kültür Eğitim Vakfı, Eğitim Politikaları Araştırma Merkezi.
  • ERG & Education Observatory (2019). Education Monitoring Report 2019: The Content of Education.
  • ERG & Education Observatory (2020). Education Monitoring Report 2020: Educational Environments.
  • ERG & Education Observatory (2021a). Education in Turkey under COVID-19.
  • ERG & Education Observatory (2021b). Education Monitoring Report 2021: Education Environments.
  • ERG & Education Observatory (2022). Education Monitoring Report 2022.
  • Fraenkel, J. R., & Wallen, N. E. (2006). How to design and evaluate research in education (6th Ed.). McGraw Hill Publishing.
  • Gligorea, I., Cioca, M., Oancea, R., Gorski, A., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: A literature review. Education Sciences, 13(12), 1216. https://doi.org/10.3390/educsci13121216
  • Gupta, S., & Hayath, M. (2022). Lack of IT infrastructure for ict based education as an emerging issue in online education. Technoarete Transactions on Application of Information and Communication Technology(ICT) in Education, 1(3). https://doi.org/10.36647/ttaicte/01.03.a004
  • Honig, M. I., & Hatch, T. C. (2004). Crafting coherence: How schools strategically manage multiple, external demands. Educational Researcher, 33(8), 16-30. https://doi.org/10.3102/0013189X033008016
  • Karimi, H., & Khawaja, S. (2023). The impact of artificial intelligence on higher education in England. Creative Education, 14(12), 2405-2415. https://doi.org/10.4236/ce.2023.1412154
  • Karsantik, İ. (2021). Crisis management on education policies during COVID-19: The case of China, USA and Italy. OPUS International Journal of Society Researches, 17(Pandemic Special Issue), 3128-3147. https://doi.org/10.26466/opus.826383
  • Khan, M. A., Kiani, F. A., Ashraf, A., & Iftikhar-Ul, M. (2022). Skills, competitiveness and productivity. The Pakistan Development Review, 473-486. https://doi.org/10.30541/v48i4iipp.473-486
  • Laksono, B. A. (2021). The strategy of education and training during the COVID-19 pandemic. Jurnal Ilmu Pendidikan Nonformal, 7(3), 855. https://doi.org/10.37905/aksara.7.3.855-864.2021
  • Lillehaug, S., & Lajoie, S. P. (1998). AI in medical education—another grand challenge for medical informatics. Artificial Intelligence in Medicine, 12(3), 197-225. https://doi.org/10.1016/s0933-3657(97)00054-7
  • Liu, J. (2021). Bridging digital divide amidst educational change for socially inclusive learning during the COVID-19 pandemic. Sage Open, 11(4). https://doi.org/10.1177/21582440211060810
  • Margot, K. C., & Kettler, T. (2019). Teachers’ perception of stem integration and education: A systematic literature review. International Journal of STEM Education, 6(1). https://doi.org/10.1186/s40594-018-0151-2
  • Melese, F., Liu, Y., & Lei, J. (2024). Exploring EdTech policies in Africa. The Journal of Applied Instructional Design. https://doi.org/10.59668/1269.15693
  • Mijwil, M. M., Hiran, K. K., Doshi, R., Dadhich, M., Al-Mistarehi, A. H., & Bala, I. (2023). ChatGPT and the future of academic integrity in the artificial intelligence era: A new frontier. Al-Salam Journal for Engineering and Technology, 2(2), 116-127. https://doi.org/10.55145/ajest.2023.02.02.015
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  • MoNE (2019). Republic of Turkey Ministry of National Education 2019-2023 Strategic Plan.
  • Mukui, G., Awiti, J., & Onjala, J. (2019). Effect of public spending on economic growth in Kenya. Journal of Economics, Management and Trade, 1-11. https://doi.org/10.9734/jemt/2019/v25i130185
  • OECD. (2023). Education at a Glance 2023: OECD Indicators. Organisation for Economic Co-operation and Development. OECD Publishing. https://doi.org/10.1787/e13bef63-en
  • Parveen, S., & Ramzan, S. I. (2024). The role of digital technologies in education: Benefits and challenges. International Research Journal on Advanced Engineering and Management (IRJAEM), 2(06), 2029-2037. https://doi.org/10.47392/irjaem.2024.0299
  • Presidential Strategy and Budget Presidency (2023). Twelfth Development Plan (2024 - 2028).
  • Rasid, N. S. M., Nasir, N. A. M., A, P. S., Singh, L., & Han, C. T. (2020). STEM integration: Factors affecting effective instructional practices in teaching mathematics. Asian Journal of University Education, 16(1), 56. https://doi.org/10.24191/ajue.v16i1.8984
  • Robertson, R. W. (2018). Local economic development and the skills gap: Observations on the case of Tampa, Florida. Higher Education, Skills and Work-Based Learning, 8(4), 451-468. https://doi.org/10.1108/heswbl-05-2017-0033
  • Roshanaei, M., Olivares, H., & Lopez, R. R. (2023). Harnessing AI to foster equity in education: Opportunities, challenges, and emerging strategies. Journal of Intelligent Learning Systems and Applications, 15(04), 123-143. https://doi.org/10.4236/jilsa.2023.154009
  • Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning and Teaching, 6(1), 342-363. https://doi.org/10.37074/jalt.2023.6.1.9
  • Sallam, M. (2023). ChatGPT utility in healthcare education, research, and practice: Systematic review on the promising perspectives and valid concerns. Healthcare, 11(6), 887. MDPI. https://doi.org/10.3390/healthcare11060887
  • Shenkoya, T., & Kim, E. (2023). Sustainability in higher education: Digital transformation of the fourth industrial revolution and its impact on open knowledge. Sustainability, 15(3), 2473. https://doi.org/10.3390/su15032473
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Analyzing Turkey's Education Strategies and Policy Documents in the Context of Digital Transformation, Development and Artificial Intelligence

Yıl 2026, Cilt: 41 Sayı: 2 , 371 - 393 , 30.04.2026
https://doi.org/10.16986/hunefd.1705823
https://izlik.org/JA54ST27FB

Öz

In this study, Turkey's education strategies and policy documents are systematically analyzed. The digital transformation, development and artificial intelligence (AI) compatibility of the analyzed documents were evaluated. In short it was aimed to provide a comprehensive overview of the country's education policy. In the study, elements such as the purpose and scope of policy documents, main themes, objectives, findings, use of AI in education, educational success criteria and stakeholder opinions were analyzed in detail. In the study conducted using content analysis method, documents were selected according to certain criteria. Then, coding was done and themes were identified. The findings show that education policies in Turkey are shaped around main themes such as digital transformation, digitalization and the use of artificial intelligence in education. In particular, problems such as inequalities in education, teacher shortage and insufficient digital infrastructure come to the fore. It was also found that artificial intelligence offers important opportunities in education in areas such as personalized learning, teacher support and curriculum development, but there are ethical concerns such as data privacy and inequality. In order to solve the observed problems and accelerate the digital transformation of Turkey's education system and increase the use of AI, recommendations can be made such as improving digital infrastructure, improving teacher training, establishing ethical rules for the use of AI, digitalizing educational materials, involving stakeholders in the processes, and supporting R&D in AI education.

Kaynakça

  • Abdelaziz, S. (2022). The relation between good governance and improving performance in the higher education -HE- institutions. Business and Management Studies, 8(2), 24. https://doi.org/10.11114/bms.v8i2.5789
  • Ahmad, N., Shaheen, N., & Hussain, S. (2024). Gender disparities in universal primary education: An analysis of women's education and policy implications in Pakistan (1947–2017). European Journal of Education, 59(2). https://doi.org/10.1111/ejed.12638
  • Alam, S., Hameed, A., Madej, M., & Kobylarek, A. (2024). Perception and practice of using artificial intelligence in education: An opinion-based study. XLinguae, 17(1), 216-233. https://doi.org/10.18355/xl.2024.17.01.15
  • Alenezi, F. (2023). Artificial intelligence versus Arab universities: An enquiry into the Saudi context. Humanities and Management Sciences - Scientific Journal of King Faisal University, 1-7. https://doi.org/10.37575/h/edu/220038
  • Alkan, A. (2024). Artificial intelligence: Its role and potential in education. Journal of Human and Social Sciences Research, 13(1), 483-497. https://doi.org/10.15869/itobiad.1331201
  • Arvin, N., Hoseinabady, M., Bayat, B., & Zahmatkesh, E. (2023). Teacher experiences with AI-based educational tools. AI and Tech in Behavioral and Social Sciences, 1(2), 26-32. https://doi.org/10.61838/kman.aitech.1.2.5
  • Berrocoso, J. V., Sánchez, M. R. F., Domínguez, F. I. R., & Díaz, M. J. S. (2021). The educational integration of digital technologies preCOVID-19: Lessons for teacher education. Plos One, 16(8), e0256283. https://doi.org/10.1371/journal.pone.0256283
  • Bobrytska, V. I., Krasylnykova, H. V., Beseda, N. А., Krasylnykov, S. R., & Skyrda, T. S. (2024). Artificial intelligence (AI) in Ukrainian higher education: A comprehensive study of stakeholder attitudes, expectations and concerns. International Journal of Learning, Teaching and Educational Research, 23(1), 400-426. https://doi.org/10.26803/ijlter.23.1.20
  • Boesch, I., Schwaninger, M., Weber, M., & Scholz, R. (2013). Enhancing validity and reliability through feedback-driven exploration: A study in the context of conjoint analysis. Systemic Practice and Action Research, 26(3), 217–238. https://doi.org/10.1007/s1121 3-012-9248-6
  • Bogdan, R., & Biklen, S. K. (1997). Qualitative research for education. Allyn & Bacon.
  • Börner, K., Scrivner, O., Gallant, M., Ma, S., Liu, X., Chewning, K., … & Evans, J. A. (2018). Skill discrepancies between research, education, and jobs reveal the critical need to supply soft skills for the data economy. Proceedings of the National Academy of Sciences, 115(50), 12630-12637. https://doi.org/10.1073/pnas.1804247115
  • Chand, S. P. (2024). Bridging the gaps in quality education. The Educational Review, USA, 8(2), 202-210. https://doi.org/10.26855/er.2024.02.001
  • Chukwubueze, N. V., & Vinella, O. (2024). Artificial intelligence and future of secondary education in Delta State: Implications for educational administration. Journal of Asian Scientific Research, 14(3), 277-288. https://doi.org/10.55493/5003.v14i3.5073
  • Deloitte & TÜSİAD (2021). The Future of Software Ecosystem in Turkey.
  • Demboh, P., & Susanti, D. (2021). Global trends in educational policy implementation and the complexity of quality in education: A Cameroonian perspective. INSECTA: Integrative Science Education and Teaching Activity Journal, 2(1), 31-43. https://doi.org/10.21154/insecta.v2i1.2671
  • Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
  • EPAM. (2025). Redesigning education: 21st-century skills. İlim Kültür Eğitim Vakfı, Eğitim Politikaları Araştırma Merkezi.
  • ERG & Education Observatory (2019). Education Monitoring Report 2019: The Content of Education.
  • ERG & Education Observatory (2020). Education Monitoring Report 2020: Educational Environments.
  • ERG & Education Observatory (2021a). Education in Turkey under COVID-19.
  • ERG & Education Observatory (2021b). Education Monitoring Report 2021: Education Environments.
  • ERG & Education Observatory (2022). Education Monitoring Report 2022.
  • Fraenkel, J. R., & Wallen, N. E. (2006). How to design and evaluate research in education (6th Ed.). McGraw Hill Publishing.
  • Gligorea, I., Cioca, M., Oancea, R., Gorski, A., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: A literature review. Education Sciences, 13(12), 1216. https://doi.org/10.3390/educsci13121216
  • Gupta, S., & Hayath, M. (2022). Lack of IT infrastructure for ict based education as an emerging issue in online education. Technoarete Transactions on Application of Information and Communication Technology(ICT) in Education, 1(3). https://doi.org/10.36647/ttaicte/01.03.a004
  • Honig, M. I., & Hatch, T. C. (2004). Crafting coherence: How schools strategically manage multiple, external demands. Educational Researcher, 33(8), 16-30. https://doi.org/10.3102/0013189X033008016
  • Karimi, H., & Khawaja, S. (2023). The impact of artificial intelligence on higher education in England. Creative Education, 14(12), 2405-2415. https://doi.org/10.4236/ce.2023.1412154
  • Karsantik, İ. (2021). Crisis management on education policies during COVID-19: The case of China, USA and Italy. OPUS International Journal of Society Researches, 17(Pandemic Special Issue), 3128-3147. https://doi.org/10.26466/opus.826383
  • Khan, M. A., Kiani, F. A., Ashraf, A., & Iftikhar-Ul, M. (2022). Skills, competitiveness and productivity. The Pakistan Development Review, 473-486. https://doi.org/10.30541/v48i4iipp.473-486
  • Laksono, B. A. (2021). The strategy of education and training during the COVID-19 pandemic. Jurnal Ilmu Pendidikan Nonformal, 7(3), 855. https://doi.org/10.37905/aksara.7.3.855-864.2021
  • Lillehaug, S., & Lajoie, S. P. (1998). AI in medical education—another grand challenge for medical informatics. Artificial Intelligence in Medicine, 12(3), 197-225. https://doi.org/10.1016/s0933-3657(97)00054-7
  • Liu, J. (2021). Bridging digital divide amidst educational change for socially inclusive learning during the COVID-19 pandemic. Sage Open, 11(4). https://doi.org/10.1177/21582440211060810
  • Margot, K. C., & Kettler, T. (2019). Teachers’ perception of stem integration and education: A systematic literature review. International Journal of STEM Education, 6(1). https://doi.org/10.1186/s40594-018-0151-2
  • Melese, F., Liu, Y., & Lei, J. (2024). Exploring EdTech policies in Africa. The Journal of Applied Instructional Design. https://doi.org/10.59668/1269.15693
  • Mijwil, M. M., Hiran, K. K., Doshi, R., Dadhich, M., Al-Mistarehi, A. H., & Bala, I. (2023). ChatGPT and the future of academic integrity in the artificial intelligence era: A new frontier. Al-Salam Journal for Engineering and Technology, 2(2), 116-127. https://doi.org/10.55145/ajest.2023.02.02.015
  • Ministry of Industry and Technology & Presidential Digital Transformation Office (2021). National Artificial Intelligence Strategy Document 2021 - 2025.
  • Ministry of Science, Industry and Technology (2018). Turkey's Industrial Revolution “Digital Turkey” Road Map.
  • MoNE (2019). Republic of Turkey Ministry of National Education 2019-2023 Strategic Plan.
  • Mukui, G., Awiti, J., & Onjala, J. (2019). Effect of public spending on economic growth in Kenya. Journal of Economics, Management and Trade, 1-11. https://doi.org/10.9734/jemt/2019/v25i130185
  • OECD. (2023). Education at a Glance 2023: OECD Indicators. Organisation for Economic Co-operation and Development. OECD Publishing. https://doi.org/10.1787/e13bef63-en
  • Parveen, S., & Ramzan, S. I. (2024). The role of digital technologies in education: Benefits and challenges. International Research Journal on Advanced Engineering and Management (IRJAEM), 2(06), 2029-2037. https://doi.org/10.47392/irjaem.2024.0299
  • Presidential Strategy and Budget Presidency (2023). Twelfth Development Plan (2024 - 2028).
  • Rasid, N. S. M., Nasir, N. A. M., A, P. S., Singh, L., & Han, C. T. (2020). STEM integration: Factors affecting effective instructional practices in teaching mathematics. Asian Journal of University Education, 16(1), 56. https://doi.org/10.24191/ajue.v16i1.8984
  • Robertson, R. W. (2018). Local economic development and the skills gap: Observations on the case of Tampa, Florida. Higher Education, Skills and Work-Based Learning, 8(4), 451-468. https://doi.org/10.1108/heswbl-05-2017-0033
  • Roshanaei, M., Olivares, H., & Lopez, R. R. (2023). Harnessing AI to foster equity in education: Opportunities, challenges, and emerging strategies. Journal of Intelligent Learning Systems and Applications, 15(04), 123-143. https://doi.org/10.4236/jilsa.2023.154009
  • Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning and Teaching, 6(1), 342-363. https://doi.org/10.37074/jalt.2023.6.1.9
  • Sallam, M. (2023). ChatGPT utility in healthcare education, research, and practice: Systematic review on the promising perspectives and valid concerns. Healthcare, 11(6), 887. MDPI. https://doi.org/10.3390/healthcare11060887
  • Shenkoya, T., & Kim, E. (2023). Sustainability in higher education: Digital transformation of the fourth industrial revolution and its impact on open knowledge. Sustainability, 15(3), 2473. https://doi.org/10.3390/su15032473
  • Sulong, N. (2022). Internationalisation of higher education policy: Implications on international student withdrawals from Malaysia. Journal of Science, Technology and Innovation Policy, 8(1), 18-29. https://doi.org/10.11113/jostip.v8n1.106
  • Tavşancıl, E., & Aslan, E. (2001). Content analysis and application examples. Epsilon Publications.
  • TBD (2020). Opinions and Suggestions for the Development of Artificial Intelligence in Turkey.
  • TED (2019). 2018 Education Evaluation Report.
  • TED (2020a). 2019 Education Evaluation Report.
  • TED (2020b). Education in the COVID-19 Process - Distance Learning, Problems and Solution Suggestions.
  • TED (2021). 2020 Education Evaluation Report.
  • TEDMEM (2022). 2021 Education Evaluation Report.
  • EDMEM (2023a). 2022 Education Evaluation Report.
  • TEDMEM (2023b). A New Understanding of Education is Essential.
  • TR AI (2023). TRAI Productive Artificial Intelligence Report.
  • TÜSİAD & Istanbul Aydın University (2020). STEM Education for Industry 4.0 in Vocational and Technical High Schools. Report No: TÜSİAD-T/2020-04/619. TÜSİAD, Istanbul.
  • TÜSİAD & TÜBİSAD (2023). Call to Action for High Technology in Turkey's 2nd Century.
  • TÜSİAD (2018). Digital Technologies and Economic Growth: Turkey's Position, Opportunities and Options in Digital Technology Sectors. Report No: TÜSİAD-T/2018,10-600.
  • UNESCO. (2023). Technology in education: A tool on whose terms? Global education monitoring report.
  • Uygun, D. (2024). Teachers' perspectives on artificial intelligence in education. Advances in Mobile Learning Educational Research, 4(1), 931-939. https://doi.org/10.25082/amler.2024.01.005
  • Vodafone & Policy Analysis Lab. (2023). Digital Turkey 2030: Economic Impacts and Policy Framework. Policy Analysis Lab.
  • YEĞİTEK. (2015). Eğitimde FATİH Projesi ve EBA tanıtım faaliyetleri değerlendirme raporu.
  • YÖK. (2024, May). Yükseköğretim kurumları bilimsel araştırma ve yayın faaliyetlerinde üretken yapay zekâ kullanımına dair etik rehber.
  • Wu, W., Burdina, G., & Gura, A. (2024). Use of artificial intelligence in teacher training. International Journal of Web-Based Learning and Teaching Technologies, 18(1), 1-15. https://doi.org/10.4018/ijwltt.331692
  • Xiao, Y., & Watson, M. (2019). Guidance on conducting a systematic literature review. Journal of Planning Education and Research, 39(1), 93-112. https://doi.org/10.1177/0739456X17723971
  • Yıldırım, A., & Şimşek, H. (2006). Qualitative research methods in social sciences. Seçkin Publishing.
Toplam 70 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Eğitim Politikası
Bölüm Araştırma Makalesi
Yazarlar

Hamza Aydemir 0000-0002-2657-3195

Süleyman Sadi Seferoğlu 0000-0002-5010-484X

Gönderilme Tarihi 25 Mayıs 2025
Kabul Tarihi 6 Ekim 2025
Yayımlanma Tarihi 30 Nisan 2026
DOI https://doi.org/10.16986/hunefd.1705823
IZ https://izlik.org/JA54ST27FB
Yayımlandığı Sayı Yıl 2026 Cilt: 41 Sayı: 2

Kaynak Göster

APA Aydemir, H., & Seferoğlu, S. S. (2026). Analyzing Turkey’s Education Strategies and Policy Documents in the Context of Digital Transformation, Development and Artificial Intelligence. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 41(2), 371-393. https://doi.org/10.16986/hunefd.1705823