Research on the Application of Smart Classroom Teaching Mode under the Background of AIGC: A Case Study of the “Online Store Management and Operation” Course

Li Ping, Zhao Huanming

Abstract


In the current era when the digital transformation wave is sweeping across the globe, China’s higher education is facing unprecedented opportunities and challenges. Especially in the field of e-commerce, the traditional teaching mode of the “Online Store Management” course has been unable to meet the talent cultivation needs of the digital economy era. This article will, from the perspective of technology empowering education, deeply explore the innovative application of generative artificial intelligence (AIGC) technology in this course teaching. With the breakthrough development of technologies such as deep learning and natural language processing, AIGC technology has demonstrated strong content generation and intelligent interaction capabilities. This technological transformation not only reshapes the business operation model but also poses new requirements for education. In the “Online Store Management” course, AIGC technology can use virtual simulation technology to recreate the real e-commerce operation environment, can push differentiated teaching content based on student profiles, and can dynamically monitor learning effects and optimize teaching strategies. The deep integration of AIGC technology and the “Online Store Management” course not only can improve teaching quality but also can cultivate interdisciplinary talents who are adaptable to the development of the digital economy.


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DOI: https://doi.org/10.22158/wjer.v13n2p1

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