Article Details

Abstract

Textbooks are the foundation of teaching. Strengthening the construction of textbooks is of great importance in promoting the development of vocational education teaching and improving the quality of vocational education talent cultivation. Under the background of the national vocational education reform of school-enterprise “dual element” cooperation, this paper takes the construction of the core course textbook of “Computer Vision Technology and Applications” for the Artificial Intelligence technology application major in higher vocational colleges as an example. It mainly explores the adjustment and characteristic innovation in content design, structural design, curriculum ideological and political system design, and digital resource construction, so as to adapt to the development of vocational education in the new era, fulfill the goal of the vocational education “textbook” reform, and provide useful references for the development of core courses and textbook writing of related and same type of majors.

Keywords

vocational education; school-enterprise cooperation; textbook development; Computer Vision Technology and Applications

References

1. [1] Yang Ruizhu, Li Chen The connotation, structure, and practical path of dual education between schools and enterprises from the perspective of educational ecology theory [J]. China Vocational and Technical Education, 2022 (24): 38-45
2. [2] Notice of the State Council on Issuing the Implementation Plan for National Vocational Education Reform [J]. Bulletin of the State Council of the People's Republic of China, 2019 (6): 9-16
3. [3] Wang Xiaofang, Hu Duo, Xu Pengliang Research on the Development and Practice of the Loose leaf Textbook "Highway Engineering Cost" for School Enterprise "Dual" Cooperation under the Background of "Three Education" Reform [J]. Scientific Consulting: Science and Technology • Management, 2021 (11): 99-101
4. [4] Zhao Qinxian Exploration and Practice of School Enterprise Cooperation in Developing Vocational Education Textbooks [J]. Value Engineering, 2013, 32 (6): 234-235
5. [5] Liang Jianchao, Wang Rentian, Lin Qinghui Research on the Development and Application of New Forms of Vocational Education Textbooks from the Perspective of Vocational Ability Cultivation [J]. China Vocational and Technical Education, 2022 (26): 60-64
6. [6] Liu Xiangdong Research on Talent Cultivation of Artificial Intelligence Engineering Technology in Vocational Education [J]. Education and Teaching Forum, 2024 (40): 172-175
7. [7] Fan Zhandong, Xing Peizhen A Preliminary Analysis of the Necessity of Building Artificial Intelligence Majors in Vocational Colleges [J]. Modern Information Technology, 2019, 3 (12): 184-186+188
8. [8] Shen Han Problems and Reflections on the Construction of Artificial Intelligence Technology Application Major in Vocational Colleges [J]. China New Communications, 2021, 23 (20): 82-83
9. [9] The Ministry of Education of the People's Republic of China Notice on Issuing the Guiding Outline for Ideological and Political Construction of Higher Education Curriculum [EB/OL]. (June 1, 2020) http://www.moe.gov.cn/ srcsite/A08/s7056/202006/t20200603_462437.html.
10. [10] Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences. White Paper on Artificial Intelligence Development in 2019 [R/OL]. (2020-01-10) https://bdk.ucas.ac.cn/index.php/xyxw/2780-20190113.
11. [11] Longpo, He Jing A Brief Discussion on the Development of Artificial Intelligence [J]. Industrial Innovation Research, 2021 (14): 125-127
12. [12] Li Liying Exploration and Practice of Core Curriculum Construction in Artificial Intelligence Major in Higher Vocational Education: Taking "Application of Computer Vision Technology" as an Example [J]. Southern Agricultural Machinery, 2023, 54 (11): 177-180

Funding

Research Project on Vocational Education Teaching Reform in Shandong Province in 2023 (2023084); The second batch of research projects on the construction of industrial colleges in technical colleges by the China Vocational Education Association

About the authors

Chen Ning (1996-), female, Han ethnicity, from Jinan, Shandong, teaching assistant, master's degree, research direction: artificial intelligence, computer vision, machine learning; Bu Lingrui (1983-), male, Han ethnicity, from Jinan, Shandong Province, associate professor, master's degree, research direction: big data technology, artificial intelligence; Xu Chunxiu (1980-), female, Han ethnicity, from Jinan, Shandong, associate professor, master's degree, research direction: artificial intelligence, computer vision, machine learning.