Keywords
Object detection
Integration of posts, courses, competitions, and certificates
Evidence-based value-added evaluation
Submitted : 2026-03-09
Accepted : 2026-03-24
Published : 2026-04-08
Abstract
Guided by the National Vocational College Skills Competition Teaching Ability Competition, this paper selects the “Object Detection” teaching unit and elaborates on the teaching design and practice process in detail from aspects such as overall teaching design, teaching implementation process, students’ learning effects, and reflection and improvement measures. By introducing real application scenarios of smart factories, it cultivates students’ craftsman spirit of striving for excellence and sense of responsibility to serve the country through science and technology, providing experience and reference for transporting high-quality technical and skilled talents for the high-quality development of the artificial intelligence industry.
References
CPC Central Committee, State Council, 2023, Overall Layout Plan for Digital China Construction.
State Council, 2017, Development Plan for the New Generation of Artificial Intelligence, Guo Fa [2017] No. 35.
Executive Committee of the National Vocational College Skills Competition, 2023, National Vocational College Skills Competition Teaching Ability Competition Plan.
Ministry of Human Resources and Social Security, 2021, National Vocational and Technical Skill Standards for Artificial Intelligence Engineers.
State Administration for Market Regulation, Standardization Administration of the People’s Republic of China, 2022, GB/T 41864-2022 Information Technology — Computer Vision Terminology, China Standards Press, Beijing; 2023, GB/T 42755-2023 Artificial Intelligence — Data Annotation Specifications for Machine Learning, China Standards Press, Beijing.
Organizing Committee of the BRICS National Vocational Skills Competition, 2023, Technical Regulations for the Computer Vision Application Competition of the BRICS National Vocational Skills Competition.
Training and Evaluation Organization, 2021, 1+X Computer Vision Application Development Vocational Skill Level Standards (Intermediate).
Yu SQ, 2021, Reform of Higher Education in the Age of Artificial Intelligence. E-education Research, 42(1): 30–38.
Xu GQ, 2022, Value Implication and Implementation Path of the Integration Training Model of Posts, Courses, Competitions and Certificates. Chinese Vocational and Technical Education, (15): 5–10.
Jiang DY, 2020, Theory and Practice of Vocational Education Curriculum Development, Higher Education Press, Beijing, 156–162.
Wang HY, et al., 2023, Computer Vision Application Development (Loose-Leaf Textbook), Higher Education Press, Beijing.
Textbook Office of the Ministry of Human Resources and Social Security, 2022, Artificial Intelligence Trainer (National Vocational Qualification Level 3), China Labor and Social Security Publishing House, Beijing.
Yang XM, et al., 2022, Data-Driven Precision Teaching: Connotation, Framework and Practice. Modern Educational Technology, 32(4): 12–19.
Zhu ZT, et al., 2022, Development Trends and Key Characteristics of Intelligent Education. Open Education Research, 28(1): 13–25.
Huang DR, et al., 2023, Model Innovation and Implementation Path of Industry-Education Integration in Higher Vocational Education. Research in Higher Education of Engineering, (2): 145–150.
Wang XJ, et al., 2023, Value Implication and Practical Approach of Curriculum Ideology and Politics in the Age of Artificial Intelligence. Journal of Ideological & Theoretical Education, (5): 98–103.