A Study on Religious Beliefs among College Students Based on FP-Growth Algorithm

DOI

10.2991/978-94-6463-276-7_29How to use a DOI?

Keywords

FP-Growth Algorithm; Religious Beliefs Psychology; Religious Infiltration; College Students

Abstract

In the backdrop of ongoing societal development, the trend towards secularization of religion becomes increasingly apparent. The infiltration of religious thoughts and influences within university campuses is progressively on the rise. In this context, countering and preventing the incursion of religious influences within educational institutions has emerged as a crucial task in the domain of ideological and political education for college students. This paper employs the FP-Growth algorithm to analyze the religious beliefs among college students, aiming to explore the influences of factors such as background, social environment, and family upbringing on the psychological changes related to religious faith among this demographic. Through the analysis of college students’ religious beliefs, it unveils the psychological changes and general patterns associated with their embrace of religion, contributing to a better understanding of the motivations and transformations behind their religious beliefs. Ultimately, this study presents a set of strategic recommendations for universities to resist and prevent the infiltration of religious influences, guiding college students towards upholding a steadfast Marxist faith and cultivating a proper worldview, philosophy of life, and value system.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Weihua Yao
AU  - Shunfei Yan
AU  - Yanshuang Wang
PY  - 2023
DA  - 2023/10/27
TI  - A Study on Religious Beliefs among College Students Based on FP-Growth Algorithm
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 275
EP  - 285
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_29
DO  - 10.2991/978-94-6463-276-7_29
ID  - Yao2023
ER  -