Analyzing Turkey's Education Strategies and Policy Documents in the Context of Digital Transformation, Development and Artificial Intelligence
Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, cilt.41, sa.2, ss.371-393, 2026 (Scopus, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 41 Sayı: 2
- Basım Tarihi: 2026
- Doi Numarası: 10.16986/hunefd.1705823
- Dergi Adı: Hacettepe Üniversitesi Eğitim Fakültesi Dergisi
- Derginin Tarandığı İndeksler: Scopus, EBSCO Education Source, MLA - Modern Language Association Database, TR DİZİN (ULAKBİM), MLA International Bibliography, Education Source Ultimate (EBSCO)
- Sayfa Sayıları: ss.371-393
- Hacettepe Üniversitesi Adresli: Evet
Özet
This systematic analysis evaluates Turkey's education strategies and policy documents, focusing on their compatibility with digital transformation and artificial intelligence (AI). The study aims to provide a comprehensive overview of the country's current educational landscape and its preparedness for emerging technologies. Employing content analysis, documents were selected based on their direct relevance to national education policy, digital transformation, and AI integration, including recent publications like the Higher Education Council's (YÖK) guide on generative AI. Findings indicate a significant gap between policy aspirations for digitalization and the on-the-ground realities of educational inequality and infrastructure deficits. While policy documents acknowledge these challenges, they often lack concrete mechanisms for sustainable implementation, a concern also highlighted in global reports. AI presents significant opportunities for personalized learning, teacher support, and curriculum development; however, it also raises critical ethical concerns regarding data privacy and equity. In conclusion, a multi-faceted and sustainable strategy is proposed to accelerate Turkey's digital transformation in education. This strategy should focus on strengthening the digital infrastructure to ensure equity of opportunity, aligning teacher training with new pedagogical models, establishing robust ethical guidelines for artificial intelligence, digitizing educational materials, centering stakeholder involvement in the system, and continuously feeding this entire process with research and development studies.