Chatgpt and Ai-Enabled Technologies for Personalized Learning: A Scientometric Analysis using Citespace

Abstract

With the rapid development of ChatGPT and artificial intelligence (AI) technologies, education has gradually begun to apply ChatGPT and AI techniques to enhance teaching effectiveness and personalized learning experiences in recent years. Personalized learning has attracted considerable interest because of its ability to improve educational results by customizing teaching to meet the specific needs of each learner. There has been a surge in research exploring the application of AI technologies in personalized learning. This paper presents a scientometric analysis of research on AI-enabled technologies for personalized learning Using CiteSpace for visualization and analysis. The study provides an overview of the research landscape, identifying key themes, influential authors, and highly cited publications. The analysis reveals the interdisciplinary nature of the research, with contributions from fields such as educational technology, cognitive science, and machine learning. Additionally, it highlights the emergence of novel AI techniques, including adaptive learning systems, intelligent tutoring systems, and recommender systems. The findings contribute to understanding the current state of the art, identifying research trends, and guiding future studies in developing and implementing AI-enabled technologies for personalized learning.