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

<p>Colleges and universities are important places for cultivating talents for education and economic construction, and they bear the important responsibility of arming young college students with socialist core values. It is of great practical significance to strengthen research on the innovation of core value education and the cultivation path for college students. In this paper, the mean drift clustering integration module and density-sensitive spectral clustering module of the spectral clustering algorithm have been improved. Then, the improved spectral clustering algorithm and word co-occurrence model are combined to extract the keywords of value cultivation among college students. The keywords of college students’ values are analyzed, and the rankings of the distance from “values” among the college students are health, family, harmony, responsibility, love, harmony, patriotism, friendliness, and independence, in descending order. The inter-word distances are 0.645, 0.648, 0.716, 0.745, 0.795, 0.799, 0.816, 0.864, 0.865. In the test of difference in values, the difference in values of different genders is shown in the view of friendship, love, family, equality and freedom, harmony, and human attitude, and the p-value of all the above dimensions is less than 0.05. Colleges and universities should start with the educational environment, the process of student growth, and the standardization of values education to actively promote the cultivation of values among college students.</p>
</abstract>

Colleges and universities are important places for cultivating talents for education and economic construction, and they bear the important responsibility of arming young college students with socialist core values. It is of great practical significance to strengthen research on the innovation of core value education and the cultivation path for college students. In this paper, the mean drift clustering integration module and density-sensitive spectral clustering module of the spectral clustering algorithm have been improved. Then, the improved spectral clustering algorithm and word co-occurrence model are combined to extract the keywords of value cultivation among college students. The keywords of college students’ values are analyzed, and the rankings of the distance from “values” among the college students are health, family, harmony, responsibility, love, harmony, patriotism, friendliness, and independence, in descending order. The inter-word distances are 0.645, 0.648, 0.716, 0.745, 0.795, 0.799, 0.816, 0.864, 0.865. In the test of difference in values, the difference in values of different genders is shown in the view of friendship, love, family, equality and freedom, harmony, and human attitude, and the p-value of all the above dimensions is less than 0.05. Colleges and universities should start with the educational environment, the process of student growth, and the standardization of values education to actively promote the cultivation of values among college students.

Research on the Innovation of Practical Path of Values Cultivation for College Students in Colleges and Universities in the Context of Big Data

Applied Mathematics and Nonlinear Sciences

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

Colleges and universities are important places for cultivating talents for education and economic construction, and they bear the important responsibility of...

Research on the Innovation of Practical Path of Values Cultivation for College Students in Colleges and Universities in the Context of Big Data

Pubblicato online: 05 ago 2024

Pagine: -

Ricevuto: 17 apr 2024

Accettato: 06 lug 2024

DOI: https://doi.org/10.2478/amns-2024-2049

Parole chiave
Mean drift algorithm, Density sensitivity, Spectral clustering matrix, College student values

© 2024 Limin Geng., published by Sciendo

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

Research on the Innovation of Practical Path of Values Cultivation for College Students in Colleges and Universities in the Context of Big Data

Pubblicato online: 05 ago 2024

Pagine: -

Ricevuto: 17 apr 2024

Accettato: 06 lug 2024

DOI: https://doi.org/10.2478/amns-2024-2049

Parole chiaveMean drift algorithm, Density sensitivity, Spectral clustering matrix, College student values

© 2024 Limin Geng., published by Sciendo

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

Parole chiave
Mean drift algorithm, Density sensitivity, Spectral clustering matrix, College student values