<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Cultural patterns, through the process of socialization, determine the national identity of a nation and influence the way of thinking, value orientation, and behavior of individuals. In this paper, we analyze Japanese values education from the dimensions of “group”, “interpersonal”, and “self”. The information mining algorithm based on web logs is used to establish a correlation matrix of Japanese learners’ values, and the values of Japanese learners are clustered according to the similarity of access subgraphs between the correlation matrices. During the period, the ID3 algorithm is used under the decision tree to eliminate the gap in metric size between clustering subgroups and achieve spatial division of learners’ value types. The three critical dimensions of Japanese values education and their sub-dimensions were empirically analyzed, and the F-values of the three dimensions of values for students of different majors were 0.265, 0.431, and 0.078, respectively, with P-values of 0.05 or higher, so there was no significant difference in the perception of values among students of different majors. In the value analysis of “self” sub-dimension, the descriptive statistics mean prestige, economy, and society values are 4.3592, 4.249, and 3.8696 respectively, which are all above 3. The value of education in Japanese universities is practical.</p>
</abstract>

Cultural patterns, through the process of socialization, determine the national identity of a nation and influence the way of thinking, value orientation, and behavior of individuals. In this paper, we analyze Japanese values education from the dimensions of “group”, “interpersonal”, and “self”. The information mining algorithm based on web logs is used to establish a correlation matrix of Japanese learners’ values, and the values of Japanese learners are clustered according to the similarity of access subgraphs between the correlation matrices. During the period, the ID3 algorithm is used under the decision tree to eliminate the gap in metric size between clustering subgroups and achieve spatial division of learners’ value types. The three critical dimensions of Japanese values education and their sub-dimensions were empirically analyzed, and the F-values of the three dimensions of values for students of different majors were 0.265, 0.431, and 0.078, respectively, with P-values of 0.05 or higher, so there was no significant difference in the perception of values among students of different majors. In the value analysis of “self” sub-dimension, the descriptive statistics mean prestige, economy, and society values are 4.3592, 4.249, and 3.8696 respectively, which are all above 3. The value of education in Japanese universities is practical.

Exploring Japanese Values Education from a Cultural Perspective

Shanghai International Studies University

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Exploring Japanese Values Education from a Cultural Perspective"}

Cultural patterns, through the process of socialization, determine the national identity of a nation and influence the way of thinking, value orientation, and...

Exploring Japanese Values Education from a Cultural Perspective

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 11. Apr. 2024

Akzeptiert: 23. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1031

Schlüsselwörter
Information association matrix, Information mining, ID3 algorithm, Spatial division, Values education

© 2024 Yuanyuan Zhou et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploring Japanese Values Education from a Cultural Perspective

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 11. Apr. 2024

Akzeptiert: 23. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1031

SchlüsselwörterInformation association matrix, Information mining, ID3 algorithm, Spatial division, Values education

© 2024 Yuanyuan Zhou et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Information association matrix, Information mining, ID3 algorithm, Spatial division, Values education