Exploration on College Ideological and Political Education Integrating Artificial Intelligence-Intellectualized Information Technology.
Journal
Computational intelligence and neuroscience
ISSN: 1687-5273
Titre abrégé: Comput Intell Neurosci
Pays: United States
ID NLM: 101279357
Informations de publication
Date de publication:
2022
2022
Historique:
received:
21
02
2022
revised:
14
03
2022
accepted:
21
03
2022
entrez:
31
5
2022
pubmed:
1
6
2022
medline:
3
6
2022
Statut:
epublish
Résumé
In recent years, with the vigorous development and application of Artificial Intelligence (AI), the application of AI in education is becoming more and more extensive. This study makes a theoretical analysis of AI-Intellectualized Information Technology (IT). Discrete Cosine Transform (DCT)-Based Speech Recognition (SR) and Genetic Algorithm (GA)-Based Image Recognition (IR) are used to analyze the College Ideological and Political Education (IAPE). The research findings prove that the advantages of integrating AI-intellectualized IT on College IAPE outweigh the disadvantages. The improvement of technological development, which accounts for 71.17% of undergraduate gains, is the most significant, and the smallest gain is technology coverage, which is 36.80%. Overall, 57.21% are interested in new technology, and the students' enthusiasm accounts for 30.77%. Most of the students focus on the innovation performance of technology, accounting for 75.92%. With an average influence of 89.04% on undergraduates, technology has the largest impact, followed by 85.78% on students with masters or higher degrees. The largest impact of diversified teaching methods for all students is 62.48%. This study provides some reference values for AI-intellectualized IT research and analysis, as well as students' IAPE.
Identifiants
pubmed: 35634053
doi: 10.1155/2022/4844565
pmc: PMC9132633
doi:
Types de publication
Journal Article
Retracted Publication
Langues
eng
Sous-ensembles de citation
IM
Pagination
4844565Commentaires et corrections
Type : RetractionIn
Informations de copyright
Copyright © 2022 Wenjuan Li and Fengkai Liu.
Déclaration de conflit d'intérêts
The authors declare that they have no conflicts of interest.
Références
Nat Med. 2019 Jan;25(1):30-36
pubmed: 30617336
Br J Radiol. 2019 Nov;92(1103):20190389
pubmed: 31322909
In Vivo. 2020 Jun;34(3 Suppl):1603-1611
pubmed: 32503818
BMC Med. 2021 Mar 23;19(1):76
pubmed: 33752648