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Artificial Intelligence in Open Educational Resources (OER) for Doctoral Education
Abstract
This chapter examines the integration of Artificial Intelligence (AI) into Open Educational Resources (OER) for doctoral education, focusing on the Ukrainian context. It explores how AI can enhance the accessibility, adaptability, and pedagogical effectiveness of OER, especially during crises. Drawing on empirical research, it highlights both the potential and limitations of AI in supporting doctoral training. Key themes include the uneven awareness and use of OER among students and educators, the role of AI in content personalization and translation, and the ethical challenges surrounding bias, trust, and academic integrity. The chapter introduces the concept of an AI-driven OER ecosystem, where intelligent tools automate content curation, semantic tagging, and multilingual access, while human actors maintain oversight and contextual relevance. The chapter frames AI as both a tool for human augmentation and a force requiring vigilant oversight, advocating for a balanced approach that pairs technological innovation with transparent governance and critical data literacy.
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