Year: 2025
Type: conference-paper
Abstract: With the rapid development and widespread application of artificial intelligence (AI), AI literacy has rapidly emerged as a concept to measure people's ability to master and apply AI in the new era. This study is based on bibliometric software and conducts a comprehensive bibliometric analysis of AI literacy research over the past decade, exploring the evolving trends in this field. The analysis results show that AI literacy research is growing exponentially, with the United States, China, Germany, and the United Kingdom being the major contributing countries in this field. The research topics cover multiple dimensions such as artificial intelligence education, academic integrity, bibliometrics, technology acceptance models, professional development, and AI-assisted writing. This study provides important insights for future academic exploration and educational policy formulation in the field of AI literacy.
Authors: Qiqi Zhou, Liandi Ding, Jia Liu
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4411744626