Advances in Artificial Intelligence in Education: Leading Contributors, Current Hot Topics, and Emerging Trends

Abstract

Artificial Intelligence (AI) has emerged as a burgeoning field in education, characterized by rapid growth and diverse research interests. This study employs bibliometric analysis to explore the landscape of AI research in education, focusing on studies indexed in the Web of Science (WOS) database. A comprehensive search identified 1383 articles published between 1981 and 2024, which were analysed using the Bibliometrix R package. The analysis encompassed performance analysis, science mapping, and network analysis, yielding visualizations such as annual scientific production trends, most cited documents, and thematic maps. Key findings reveal a substantial increase in AI research from 2022 onwards, underscoring a shift towards longitudinal studies to track AI's evolution and impacts in educational contexts. Ethical considerations, data privacy, and societal implications emerged as critical areas requiring further investigation. While early studies focused on intelligent tutoring systems, contemporary research highlights topics like ChatGPT, machine learning, and higher education. The interdisciplinary nature of AI in education is evident through its publication in journals spanning educational technology and related fields. Future research directions emphasize the need for comprehensive studies addressing ethical frameworks and guidelines for responsible AI integration in education. Bridging technological advancements with pedagogical strategies is essential for developing integrative models that enhance personalized learning and educational outcomes. Ongoing bibliometric analyses will play a pivotal role in identifying emerging trends and guiding future research endeavours in AI and education.

Ähnliche Arbeiten