AI-Enabled Science Popularization Services: Technological Innovation, Risks, and Countermeasures

Authors

Yu Zhu 图书馆 Author
Che Liu Author

DOI:

Keywords:

artificial intelligence, vocational education, digitalization, large models

Abstract

Starting from the key technologies of artificial intelligence, this paper systematically reviews the application of AI in the field of vocational education, analyzes the challenges that AI brings to vocational education, explores the opportunities that AI creates for vocational education, and proposes implementation pathways for vocational education in the AI context, covering six aspects: adjusting the specialty layout and curriculum structure, strengthening practical teaching and skills training, cultivating innovative thinking and entrepreneurial ability, improving teachers’ artificial intelligence literacy, focusing on cultivating students’ capacity for sustainable development, and integrating social resources to enhance students’ overall quality.

References

[1]X. Zhang, X. S. Yang, and C. S. Xu, “Current status and future development directions of ChatGPT and generative artificial intelligence,” Bulletin of National Natural Science Foundation of China, vol. 37, no. 5, pp. 743-750, 2023.

[2]J. Zhang, Y. X. Wang, and Z. Yuan, “Design methods and practice of AIGC-empowered traditional culture inheritance: A case study of the scheme design of the digital exhibition center of Yongle Palace in Shanxi Province,” Design, vol. 36, no. 17, pp. 30-33, 2023.

[3]M. Y. Huang, J. Y. Huang, and J. P. Ye, “Artificial intelligence empowering vocational enlightenment education: Technical logic and action paths,” Vocational and Technical Education, vol. 45, no. 1, pp. 11-18, 2024.

[4]D. Guo and X. C. Yin, “Fundamental transformation of talent cultivation in vocational education under the triple substitution effect of “skill-task-occupation” in artificial intelligence,” Education and Vocation, no. 6, pp. 54-61, 2024.

[5]Y. X. Tang and W. G. He, “Leapfrog catch-up of latecomers: A study on the transformation direction of China’s higher vocational education in the intelligent era,” Distance Education in China, vol. 43, no. 12, pp. 68-75, 2023.

[6]S. Y. Shen and Y. H. Zheng, “Artificial intelligence empowering the development of higher vocational education: Value implications and promotion strategies,” Continuing Education Research, no. 3, pp. 84-87, 2024.

[7]X. X. Xie and S. B. Liu, “Design framework and construction strategies of smart learning spaces for vocational education teachers in the AIGC era,” Vocational Education Forum, vol. 40, no. 1, pp. 62-70, 2024.

[8]X. Y. Hu, S. Sun, W. J. Yang, et al., “Artificial intelligence empowering high-quality development of education: Demands, visions, and paths,” Modern Educational Technology, vol. 32, no. 1, pp. 5-15, 2022.

[9]Editorial Office of This Journal, “Seizing the digital opportunity to promote the high-quality development of modern vocational education: An exclusive interview with Chen Ziji, Director of the Department of Vocational and Adult Education, Ministry of Education,” Chinese Vocational and Technical Education, no. 13, pp. 5-11, 2022.

[10]J. L. Zhou and H. M. Liu, “The external logic of ChatGPT/generative artificial intelligence affecting vocational education: An analysis based on the impact of technological progress on employment,” Chinese Vocational and Technical Education, no. 6, pp. 38-48, 2024.

[11]D. H. Li, X. Liu, and P. Wang, “The value, challenges, and innovation paths of artificial intelligence empowering the high-quality development of vocational education,” Education and Vocation, no. 4, pp. 13-20, 2023.

[12]Z. F. Wang, “Connotation and implementation paths of the digital transformation of quality evaluation in higher vocational education,” Journal of Jiangsu Vocational Institute of Commerce, no. 1, pp. 1-5, 2024.

[13]J. M. Qin and Y. Z. Zhang, “Exploration of artificial intelligence empowering deep teaching in higher vocational classrooms,” Modern Vocational Education, no. 35, pp. 17-20, 2023.