Research on the Innovation and Practical Path of AIGC Empowering the Education Model of Jiangxi Red Music Culture in Universities
DOI:
https://doi.org/10.54097/0wagvq22Keywords:
AIGC, Jiangxi Red Music, Culture Nurtures People, Model InnovationAbstract
Jiangxi red music culture is an artistic condensation of the revolutionary struggle and construction process under the leadership of the Communist Party of China, and a valuable resource for colleges and universities to implement the fundamental task of "cultivating virtue and nurturing talent" and carry out ideological and political education and patriotic education. In the current process of using red music culture for education, colleges and universities are confronted with practical difficulties such as monotonous content and form, outdated dissemination methods, disconnection from the current students' cognitive habits, and insufficient internalization of educational effectiveness. The rise of generative artificial intelligence provides a revolutionary tool to solve these problems. This paper explores the current situation and predicaments of AIGC empowering Jiangxi Red music culture education in colleges and universities, and analyzes the technical characteristics of AIGC in content generation, interactive experience and personalized learning, as well as its convergence points with red music culture education. Based on generative learning theory, cultural memory theory and digital media art fusion theory, construct a new model of "four-dimensional drive" education centered on "AIGC+", providing theoretical references and practical solutions for activating red cultural genes and enhancing educational effectiveness in the context of the digital age by using cutting-edge technologies.
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[1] Shao Yue, Du Shuyuan. Practice and Reflection on the Curriculum Reform of Engineering General Education [J]. Higher Engineering Education Research, 2023 (5) : 35-40.
[2] Lin Guanhong, Yao Qi. Exploration and Practice on the Construction of "Artificial Intelligence" General Education Courses in Higher Vocational Civil Engineering Professional Groups: A Case Study of Guangxi Construction Vocational and Technical College [J]. Science Consultation, 2024 (21) : 159-162.
[3] Huang Ping, Ma Xiao, Yang Danzi. Teaching Reform and Exploration of General Artificial Intelligence Courses in Vocational Undergraduate Education [J]. Information Technology Education in China, 2024 (21) : 105-108.
[4] Yang Yingxi. Exhibition of Works from Artificial Intelligence Art General Education Courses at Tianjin Academy of Fine Arts [J]. Art Education Research, 2024 (24) : 7.
[5] Wang Li. Research on Teaching Artificial Intelligence General Education Courses Based on Compound Talents in Higher Vocational Colleges [J]. Heihe Academic Journal, 2023 (06) : 47-54.
[6] Geng Yu, Guo Minqiang, Zhang Yunsheng, et al. Exploration and Practice of Artificial Intelligence General Education in Higher Vocational Colleges [J]. Journal of Shenzhen Information Technology College, 2023,21 (05) : 42-45, 76.
[7] Fan Guanglu, Fu Yining. Analysis on the Construction of Artificial Intelligence General Education Courses from an Interdisciplinary Perspective [J]. Coal Higher Education, 2022,40 (06): 116-125.
[8] Zou Cuilan, Sun Fengshen, Liu Xiaoning. Practical Exploration of General Artificial Intelligence Courses in Higher Vocational Colleges [J]. Modern Vocational Education, 2021 (17): 34-35.
[9] Li Liangli, Xiao Zhengxing, Wang Maoli. The Construction logic and Practical Exploration of General Education Courses on Artificial Intelligence: A Case Study of the "Artificial Intelligence Application" course at Shenzhen Polytechnic [J]. Higher Engineering Education Research, 2024 (06): 62-67.
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