디지털 인재양성을 위한 SW·AI교육 연구동향 분석

Abstract

Objectives The purpose of this study is to derive educational implications and suggestions by analyzing research trends in SW and AI education to foster digital talent.
 Methods To achieve the objectives of the study, a scoping review methodology was used to identify research questions and search for keywords for the study. For literature selection, we used the PRISMA-ScR guidelines and checklist to select the literature, extract the data, and present the results as of February 2023.
 Results First, as a result of analysing the educational targets of SW and AI education by year, we found that the most studies were conducted on elementary school students from 2018 to 2022, followed by middle school students, university students, and high school students. This was influenced by the mandatory ‘information’ curriculum for elementary and middle school students and the implementation of policies to strengthen SW and AI education for university students. In addition, it was found that SW and AI education is disconnected for high school students, and it was suggested that ‘information’ education needs to be expanded in high schools to solve this problem. Second, the analysis of educational contents for each SW/AI education target was divided into ‘knowledge/understanding’, ‘application’, ‘analysis’, and ‘synthesis/evaluation’ by referring to Bloom's systematic classification of educational goals. To this end, it is necessary to develop a platform to support the cultivation of digital human resources by applying SW and AI education to all curricula by educational target. Third, after analysing the educational results of SW and AI education by content, it was found that the research was focused on the administrative field. Therefore, it is necessary to expand student-centred SW and AI-related curricula and programmes to foster digital talent, and to expand research that can influence student change.
 Conclusions In order to foster digital talent, the linkage of information education from elementary schools to universities should be strengthened and education that can respond to the acceptance of industrial sites should be expanded. In addition, courses and programs that adjust the difficulty of educational content for non-majors and take into account students' interests should be developed, and a teaching and learning model to spread it should be developed to foster digital talent.