基礎教育保障学研究
Online ISSN : 2433-3921
潜在する学習ニーズを読み解く ─国勢調査によるデータ可視化手法の提案
碓井 健寛城之内 庸仁近貞 美津子
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ジャーナル オープンアクセス

2023 年 7 巻 p. 55-72

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The 2020 National Census was a survey that delved into the actual situation of those who have not completed compulsory education. A new category, “persons who graduated from elementary school as their last school education” was newly established. To determine the need for evening classes at public junior high schools, prefectural and city boards of education have conducted their own needs assessments. Problems have been pointed out in the past regarding how municipalities measure “enrollment needs.” These points highlight the essential issue of “who” and “how” to identify latent needs(Usui 2020a, p. 108). How do we accurately identify the latent learning needs and enrollment needs of evening schools? The answer is already clear. Use the census. The census is a full-count survey, carefully prepared by the government at great expense. It is designed to increase response rates so that various biases are minimized. The method of tabulation can be selected according to the purpose of the analysis. Sub-regional tabulation refers to the results of the national census, which are tabulated by town and district, and it is not only possible to display the results of more than 100,000 areas nationwide by census survey item but also to link the results to geographic information(GIS: Geographic Information System). By linking the GIS, it is possible to visualize on a map the shading of the ratio of the population who didn’ t complete elementary or junior high school. This paper presents several examples of analyses using the census and discloses the procedures from obtaining census data to processing them. To some extent, we have made a process manual so that interested readers can develop policies in their regions.
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