Navigating the Library of AI in Education: A Bibliometric Insight

Abstract

Artificial Intelligence (AI) holds significant potential to reshape educational systems by enabling personalized learning, automating administrative tasks, and offering real-time assessments. This paper presents a bibliometric analysis of recent studies on AI in education, capturing key trends, methodologies, challenges, and future directions within the knowledge "library" of this evolving field. Through the analysis of 51 papers, the research explores how AI enhances both teaching and learning, along with the ethical implications surrounding its adoption. The study highlights the benefits and barriers, such as the need for equitable access to AI tools, addressing algorithmic biases, and ensuring proper teacher training. Future research directions are also outlined, including the development of ethical AI frameworks, conducting longitudinal studies, and AI's role in fostering inclusive education.