New Perspectives in Science Education

Recently, interests in applying advanced science and technology to the educational settings have been heeded in the community of science education. In particular, AI-related technologies are broadly used across the disciplines. This study aims at investigating the educational studies on using AI in Korea. Thus, this study collected a total of 1,756 articles published in the Korean domestic journals indexed in KCI, through the online database and examined the features of the research based on analysing the abstracts by unsupervised machine learning [1]. According to the K-Means clustering with elbow method, the studies were categorized into six trends as listed: predictive analytics and trend review of AI in education, development of programme using AI, effect of AI-related contents on teachers and pupils, system/database design for AI in education, competence relevant to AI in education and environment for future education [2]. The most dominant one is developing materials for AI-based education and the number of studies about the category has been drastically increased for the last few years. This study will give some implications for AI in education and effective strategies to understand the changes in education.