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Multicultural data assistance mining analysis for ideological and political education in smart education platforms using artificial intelligence.

Authors :
Li, Hanjia
Source :
Wireless Networks (10220038). Jun2024, p1-15.
Publication Year :
2024

Abstract

The rapid growth of Internet technology has significantly expanded university students’ prospects with information opportunities. In the age of big data, the world influences all facets of life, philosophy, and politics, and these effects significantly impact intellectual and political learning, including the impact on education and the educational provider. Multicultural education is a pedagogical approach that advocates for equitable access to education and endeavours to establish a heterogeneous and all-encompassing academic milieu that caters to students of varying cultural origins. Multicultural education is subject to stress from studies and jobs, mainly if they appear to have an unbalanced mindset, facing emotional, social, and family changes. This paper constructs a method based on the Psychological Data Assistance Mining Crisis Analysis (PDAMCA) to predict learners’ behaviour for evaluating educational and personal information. The increasing developments in mobile internet, data mining, and artificial intelligence technology have made college students’ traditional management structure and time-management strategies insufficient. The objective of the proposed study is to enhance the results of multicultural education by utilizing Artificial Intelligence in the shape of Multicultural Data Assistance Mining Analysis. This paper will examine the educational approach based on the PDAMCA algorithm for Ideological and Political Education in a Smart Education Platform. First, the real needs of multicultural education for university students should be discussed. Secondly, the preparation standards for college students should be essential to us. Developing a more intelligent management model for college students has become vital for improving student management and job performance. The academic administration of the pupils is carried out through data mining and artificial intelligence. The findings indicate that PDAMCA has successfully fostered cross-cultural competence and awareness among its students, as evidenced by an average score of 93.6% on the Cross-Cultural competence index and 82.6% on the multicultural awareness index. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10220038
Database :
Academic Search Index
Journal :
Wireless Networks (10220038)
Publication Type :
Academic Journal
Accession number :
177770404
Full Text :
https://doi.org/10.1007/s11276-024-03772-8