Exploration of Teaching Methods and Innovative Paths for Artificial Intelligence General Education Courses in Media Colleges from the Perspective of New Engineering
DOI: https://doi.org/10.62517/jike.202504210
Author(s)
Yandan Xue, Caiyun Shan, Ting Chen
Affiliation(s)
School of Media Technology, Communication University of China Nanjing, Nanjing, China
Abstract
Against the backdrop of artificial intelligence deeply reshaping the media industry ecology, the new engineering concept puts forward a composite requirement of "technical literacy+humanistic background+cross-border ability" for talent cultivation in media colleges. This article addresses the problems of interdisciplinary superficiality, practical teaching tools, and marginalization of ethics education in current media colleges' general education of artificial intelligence. Based on the perspective of new engineering, it proposes innovative teaching methods such as constructing interdisciplinary knowledge graphs, implementing "case driven+project practical" three-dimensional practical teaching, and using intelligent technology to achieve personalized learning support. At the same time, exploring innovative paths such as dynamic adaptation of curriculum system reconstruction, deep integration of industry and education in collaborative education mode, and multi-dimensional teaching evaluation system, and proposing countermeasures for challenges such as teacher shortcomings, resource integration difficulties, and insufficient support for differentiated learning of students. Research has shown that through the deep coupling of technological logic and humanistic logic, it is possible to effectively cultivate the "hard skills" of media students in mastering AI tools and the "soft power" in adhering to media ethics, providing a strategic pivot for media colleges to connect with new engineering disciplines and empower new media.
Keywords
New Engineering; Media Related Colleges and Universities; Artificial Intelligence General Education; Teaching Methods; Innovation Path
References
[1] Xu Tao, Yan Li, Yin Junfeng, etc Research on the Development Model and Path of "Artificial Intelligence+New Engineering" from the Perspective of Innovation and Entrepreneurship Education [J]. Distance Education Journal, 2018, 36 (1): 9. DOI: CNKI: SUN: YCJY. 0.2018-01-008.
[2] Xu Xinzheng, Wang Guanjun, Li Xiangqun, etc Exploration and Practice of Innovative Talent Training System for Artificial Intelligence under the Background of "New Engineering" [J]. Industry and Information Technology Education, 2024 (5): 1-4.
[3] Xiong Weiting; Zhang Yedong; Yang Yahan Exploration of AI Empowering Undergraduate Design Teaching in Urban and Rural Planning Major: Taking the Course of "Urban Design" as an Example [J]. Educational and Cultural Materials, 2024 (11).
[4] Sun Shizheng Research on the cultivation of innovative composite talents based on multi-dimensional driving of "artificial intelligence+mechanical engineering" from the perspective of new engineering [J]. Education Research, 2021, 4 (1): 43-44. DOI: 10.12238/er.v4i1.3561.
[5] Meng Qingkuan, Duan Hailong Research on the Path of Cultivating Exemplary Students for Artificial Intelligence Vocational Teachers from the Perspective of New Engineering [J]. Vocational Education Research, 2022 (2): 73-77.