Artificial Intelligence in Education: Foundations, Trends, and Implications

Artificial Intelligence in Education: Foundations, Trends, and Implications

Eriona Çela (University of New York Tirana, Albania), Mathias M. Fonkam (Pennsylvania State University, USA), Narasimha Rao Vajjhala (University of New York, Tirana, Albania), and Alexey Vedishchev (American University of Nigeria, Nigeria)
Copyright: © 2025 |Pages: 20
DOI: 10.4018/979-8-3693-7220-3.ch001
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Abstract

This chapter explores the transformative role of artificial intelligence (AI) in education, focusing on secondary and higher education contexts. This chapter provides a comprehensive overview of how AI technologies are reshaping educational practices through personalized learning, adaptive curriculum design, and enhanced student engagement. By examining current trends, such as AI-driven assessment tools, learning analytics, and adaptive learning systems, the chapter highlights both the opportunities and challenges AI presents for educators and institutions. Key ethical considerations, including algorithmic bias, data privacy, and equitable access, are addressed, emphasizing the need for responsible AI deployment in educational settings. The chapter also examines the evolving role of educators in AI-enhanced classrooms, where traditional teaching roles are augmented by AI's ability to support personalized learning experiences.
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