The convergence of SW new technologies such as artificial intelligence (AI), big data, and cloud, which are the core of the 4th industrial revolution, is causing the Big Blur phenomenon around the world, and the COVID-19 pandemic is accelerating digital transformation (DX). The Ministry of Education emphasizes the need to improve the curriculum and strengthen the SW and AI curriculum for all students, including students subject to special education and multicultural students, so that they can cultivate basic skills and capabilities in response to the rapidly changing digital transformation.
The digital transformation of education can be said to be part of a civilization-historical transformation that requires innovation in the social structure. However, in the case of Korea, various subjects such as government ministries, public institutions, and local governments are participating in SW and AI education, but they are carrying out their respective projects without policy agreements or cooperation. In particular, as various records and educational contents produced are not systematically managed, the need for SW and AI education archives that integrate them has been steadily raised.
In particular, while the number of students is decreasing nationwide and the trend toward metropolitan cities and large cities is gradually strengthening, there is a difference between the region invested first and the region not because the education infrastructure is focused on a specific region (metropolitan unit) at a specific time. It is necessary to check the continuity of investment in information infrastructure. As a countermeasure, this study suggests that it is necessary to build a digital archive of SW and AI convergence education for underprivileged youth by reviewing previous studies, analyzing SW and AI education status, conducting surveys on teachers, students, and instructors.
Since the construction of digital archives requires continuous communication and collaboration of each subject, the big data-based digital archive proposed in this study can be a governance practice to systemize customized SW and AI education for the underprivileged and strengthen collaboration and participation of various subjects.