The PhD in Educational Technology & Artificial Intelligence (EdTech & AI) is a research-intensive doctoral program designed to advance knowledge at the intersection of education, digital technologies, and artificial intelligence.

The program focuses on developing innovative, evidence-based solutions to transform teaching, learning, and educational systems through intelligent technologies. Doctoral candidates conduct original research in areas such as AI-powered learning systems, adaptive education, learning analytics, digital pedagogy, immersive learning environments, and educational data science.

This interdisciplinary program integrates education, computer science, artificial intelligence, psychology, and data analytics to address global challenges in education, including accessibility, personalization, quality improvement, and digital transformation.

Aligned with international doctoral education standards and the Sustainable Development Goals (SDGs), the program prepares researchers, academics, and industry experts to contribute to scholarly knowledge, policy development, and innovation in global education systems.

Graduates are equipped to become thought leaders in academia, research institutions, EdTech industries, and governmental or international education organizations.

Upon successful completion of the PhD in Educational Technology & AI, graduates will be able to:

1. Conduct original, high-impact research that advances the field of educational technology and artificial intelligence.
2. Develop and evaluate AI-driven educational systems that enhance learning outcomes and personalization.
3. Contribute new theoretical and practical knowledge in learning sciences, EdTech, and AI applications in education.
4. Design advanced learning analytics frameworks for data-driven educational decision-making.
5. Innovate adaptive learning models and intelligent tutoring systems using AI and machine learning.
6. Analyze complex educational datasets to improve teaching methodologies and institutional performance.
7. Publish research in peer-reviewed international journals and conferences.
8. Critically evaluate global trends in digital education and AI-driven learning systems.
9. Develop policies and frameworks for ethical, inclusive, and accessible digital education.
10. Lead interdisciplinary research projects across education, technology, and cognitive sciences.
11. Integrate emerging technologies such as AI, AR/VR, and immersive learning environments into education research.
12. Communicate advanced research findings effectively to academic, policy, and industry stakeholders.
13. Contribute to the development of global education standards and digital transformation strategies.
14. Assess ethical, social, and governance implications of AI in education systems.
15. Provide leadership in academic, research, and innovation ecosystems within EdTech and AI domains.