Mapping the Knowledge Landscape of AI in Higher Education: A SWOT Analysis

Abstract

This study uses bibliometric and visualization analysis to explore the publication landscape of Artificial Intelligence (AI) in Higher Education, aiming to uncover new insights and trends. By utilizing bibliometric analysis to identify the strengths, weaknesses, opportunities, and threats within the literature on AI in higher education. Analyzing 330 peer-reviewed papers published on Scopus between 2017 and September 2023, the research provides an overview of AI research trends in higher education. The findings from this study highlight strengths, weaknesses, opportunities, and threats (SWOT) of the knowledge landscape of AI in Higher Education. The study reveals a significant increase in publication growth in 2023, reflecting a growing interest in AI adoption and its impact on education. However, potential biases and disparities exist, with the majority of studies originating from the Global North. The analysis shows opportunities for AI to revolutionize education but also emphasizes ethical concerns and challenges related to AI adoption. The visualization of this analysis offers insights into the complex relationships and patterns within the AI publication landscape, providing valuable guidance for researchers, policymakers, and educators seeking to leverage AI advancements in higher education.