Innovative Strategies for Designing Ideological and Political Courses in the AI-Driven Communication Era

This study discusses the value of applying the practical strategy of top-level design of artificial intelligence (AI) in the ideological and political theory courses (IPC) in China universities, aiming at improving the ideological and political literacy (PA) of college students. The research first implements IPC through AI network media, then combines it with communication, and finally verifies the effect through practical application. The subjects are 120 randomly selected freshmen and juniors. Through the comparative evaluation of education penetration rate, students' experience satisfaction and PA score (questionnaire score), it is found that after the introduction of AI, the education penetration rate reaches 93%, students' experience satisfaction reaches 92%, and the average PA score is 93 3, which are significantly higher than the data before practice. The verification results show that AI-assisted communication guidance can effectively improve the educational effect of IPC in colleges and universities in the new era.

Authors

Institutions

Publication Details

Journal
International Journal of Distance Education Technologies
Published
2025-04-26
DOI
https://doi.org/10.4018/ijdet.373906
Citations
1
Primary Topic
Ideological and Political Education
Type
article
Field-Weighted Citation Impact
8.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Innovative Strategies for Designing Ideological and Political Courses in the AI-Driven Communication Era

Guohui Xing, Xiaofeng Luo
1 citations
International Journal of Distance Education Technologies
Ideological and Political Education
8.93
article

Innovative Strategies for Designing Ideological and Political Courses in the AI-Driven Communication Era

Guohui Xing, Xiaofeng Luo
article en
1 citations

Abstract

This study discusses the value of applying the practical strategy of top-level design of artificial intelligence (AI) in the ideological and political theory courses (IPC) in China universities, aiming at improving the ideological and political literacy (PA) of college students. The research first implements IPC through AI network media, then combines it with communication, and finally verifies the effect through practical application. The subjects are 120 randomly selected freshmen and juniors. Through the comparative evaluation of education penetration rate, students' experience satisfaction and PA score (questionnaire score), it is found that after the introduction of AI, the education penetration rate reaches 93%, students' experience satisfaction reaches 92%, and the average PA score is 93 3, which are significantly higher than the data before practice. The verification results show that AI-assisted communication guidance can effectively improve the educational effect of IPC in colleges and universities in the new era.

International Journal of Distance Education TechnologiesVol. 23(1)
Zhejiang Industry Polytechnic College (CN)
Openalex Percentile: Top 5%
Ideological and Political Education
8.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.