MARC

LEADER 00000nab a2200000uu 4500
001 3195634880
003 UK-CbPIL
022 |a 1539-3100 
022 |a 1539-3119 
024 7 |a 10.4018/IJDET.373906  |2 doi 
035 |a 3195634880 
045 2 |b d20250101  |b d20250331 
084 |a 66571  |2 nlm 
100 1 |a Xing, Guohui  |u School of Marxism, Zhejiang Industry Polytechnic College, China 
245 1 |a Innovative Strategies for Designing Ideological and Political Courses in the AI-Driven Communication Era 
260 |b IGI Global  |c 2025 
513 |a Journal Article 
520 3 |a 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. 
653 |a Ideology 
653 |a Political theory 
653 |a Communication 
653 |a Mass media effects 
653 |a College students 
653 |a Politics 
653 |a Questionnaires 
653 |a Television programs 
653 |a Educational technology 
653 |a Performance evaluation 
653 |a Distance learning 
653 |a Colleges & universities 
653 |a COVID-19 
653 |a Artificial intelligence 
653 |a Multimedia 
653 |a Education 
653 |a Verification 
653 |a Online instruction 
653 |a Algorithms 
653 |a Satisfaction 
653 |a Literacy 
653 |a Deep learning 
653 |a Cognitive science 
653 |a Mass media 
653 |a Students 
653 |a Research methodology 
653 |a Political philosophy 
653 |a Support vector machines 
653 |a Supervision 
653 |a Penetration 
653 |a Group Discussion 
653 |a Literature Reviews 
653 |a Academic Achievement 
653 |a Knowledge Level 
653 |a Comparative Analysis 
653 |a Comparative Education 
653 |a Cognitive Psychology 
653 |a Educational Strategies 
653 |a Educational Resources 
653 |a Distance Education 
653 |a Influence of Technology 
653 |a Computer Mediated Communication 
653 |a Learning Management Systems 
653 |a Data Analysis 
653 |a College Science 
653 |a Educational Trends 
653 |a Classroom Environment 
653 |a Educational Facilities Improvement 
700 1 |a Luo, Xiaofeng  |u School of Civil Engineering and Architecture, Zhejiang Industry Polytechnic College, China 
773 0 |t International Journal of Distance Education Technologies  |g vol. 23, no. 1 (2025), p. 1-23 
786 0 |d ProQuest  |t ABI/INFORM Global 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3195634880/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3195634880/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch