A study on the application scenarios and ethical considerations of generative artificial intelligence (AIGC) in vocational college e-commerce education
Qinyue Huang
TIANFU NEW AREA GENERAL AVIATION PROFESSION ACADEMY
Qin Qin
TIANFU NEW AREA GENERAL AVIATION PROFESSION ACADEMY
DOI: https://doi.org/10.59429/bam.v7i3.11337
Keywords: generative artificialintelligence; vocational e-commerce education; application scenarios; ethics
Abstract
With the rapid development of artificial intelligence technology, the application of generative artificial intelligence (AIGC) in the field of education has gradually attracted widespread attention. This paper delves into the specific application scenarios of AIGC in vocational e-commerce education, Through literature reviews and case analyses, the paper details how AIGC can enhance teaching effectiveness by real-time updating of educational resources, generating personalized learning content, providing intelligent tutoring and Q&A support, and constructing virtual practical teaching environments. Additionally, this paper conducts an in-depth analysis of the ethical issues that may arise during the application of AIGC. The research aims to provide theoretical support and practical guidance for the digital transformation of vocational e-commerce education, promote the healthy and sustainable development of AIGC technology in the education sector, and drive innovation and transformation in educational models.
References
[1] Huang Zhi-jie. Exploring Teaching Reform Strategies for Higher Vocational Colleges Based on Generative Artificial Intelligence [J]. Modern Vocational Education, 2024, (22): 41-44.
[2] Qiu Feng, Wu Yue-dong. Analysis of Core Elements Driving Educational Innovation Through Generative Artificial Intelligence [J]. Research on Educational Development, 2024, 44(Z1): 9-16.
[3] Qi Yuanyi, Wang Laimei. The Application of Generative Artificial Intelligence in Open Education: Opportunities, Challenges, and Application Scenarios [J]. Adult Education, 2024, 44(06): 56-61.
[4] Wu Fatai, Xia Zhiwen, Gao Shurui. Reshaping Smart Learning Environments with Generative Artificial Intelligence: From Elemental Improvements to Ecological Reconstruction [J]. Research on Educational Technology, 2025, 46(01): 54-63.
[5] Liu Yuzhang. Exploring Teaching Strategies for Vocational College Electronic Technology Foundation Courses Empowered by Generative Artificial Intelligence [J]. Computer Knowledge and Technology, 2025, 21(03): 151-153.
[6] Jia Longjia. Generative Artificial Intelligence Empowering Educational Innovation: Opportunities, Challenges, and Pathways [J]. University Education, 2025, (08): 5-9.
[7] Gao Sheng, Meng Fanli. The Empowering Value, Risks, Challenges, and Breakthrough Pathways of Generative Artificial Intelligence for Teacher Professional Development [J]. Heilongjiang Higher Education Research, 2025, 43(04): 15-21.