Japan Journal of Educational Technology
Online ISSN : 2189-6453
Print ISSN : 1349-8290
ISSN-L : 1349-8290
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A Survey of Mathematics, Data Science, and AI Smart Higher Education
Case Study of 78 Programs Accredited at the Literacy Level in 2021
Toshiki SHIMBARU
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2023 Volume 47 Issue 2 Pages 333-342

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Abstract

This study focused on the approved program for mathematics, data science, and AI smart higher education (MDASH) at the literacy level and surveyed 78 educational programs accredited by August 2021. The results revealed the following: (1) The most common curriculum in each school required students to opt for pre-designated subjects. However, most of the curriculums required the students to opt for existing subjects. (2) The common completion requirement was between 2 and 4 credits, but a wide range from 1 to 24 credits existed. These differences, despite the same accreditation system, are a concern in terms of fairness. (3) Most schools used spreadsheet software as a learning method for data analysis. This may reflect the reality of information education in high schools. (4) To be recognized as a leading program, promoting regional and industry collaboration within a clear framework tended to be more effective than class content or student support.

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© 2023 Japan Society for Educational Technology
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