Research on the Construction of Vocational School-Enterprise Cooperation Service Platform Based on Micro-services
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Keywords

School-enterprise cooperation
Big data
Micro-services
Integration of industry and education
Curriculum reform

DOI

10.26689/erd.v6i9.8306

Submitted : 2024-08-31
Accepted : 2024-09-15
Published : 2024-09-30

Abstract

With the deep integration of school-enterprise cooperation in higher vocational colleges, it is necessary to use micro-service technology for targeted analysis of various behavioral data involved in school-enterprise cooperation, and extract valuable information as the basis for guide school-enterprise cooperation work, to shift school-enterprise cooperation work from “business-driven” to more precise “data-driven” [1]. This article uses big data analysis as a means, adopts micro-service technology, and takes school-enterprise cooperation and industry education integration as the concept. Through the needs analysis of the college, the overall architecture of the school-enterprise cooperation service platform is designed. From business processes, big data analysis and intelligent visualization, the deep integration of school-enterprise joint training of teachers, school-enterprise collaborative teaching, and school-enterprise joint promotion of employment are achieved, and the expected effect is worth promoting.

References

Feng Y, Lv X, 2023, The Real Dilemma and the Supposed Approach of Data-Driven Precision Teaching. Modern Distance Education, 2023(3): 30–38.

Ma T, 2024, Model Innovation and Practice of School-Enterprise Cooperation under the Background of Industry-Education Integration. Chinese Science and Technology Journal Database (Citation Edition) Education Science, 2024(5): 37–40.

Jiang H, 2014, Discussion on the Factors that Should Be Considered in the Setting of Teaching Curriculum System in the Training Program of Professional Talents in Higher Vocational Colleges. Journal of Luzhou Vocational and Technical College, 2014(1): 38–40.

Xu G, Zhong X, 2023, Research on Power Data Fusion and Optimization Based on Data Visualization. Journal of Wuhan University of Technology (Information and Management Engineering), 45(6): 972–976.

Li J, 2019, The Establishment of the Criteria for the Selection of School-Enterprise Cooperative Enterprises in Higher Vocational Colleges and the Evaluation Criteria for the Deep Integration of Industry and Education. Industry and Science and Technology Forum, 2019(8): 268–269.

Li Q, Han J, 2020, Design and Development of School-Enterprise Cooperation Service Platform in Lianyungang City. Journal of Lianyungang Vocational and Technical College, 33(1): 17–21.

Lin M, Sun C, 2020, Design and Implementation of Precise Docking Service Platform for School-Enterprise Cooperation. China New Technology and New Products, 2020(17): 1–7.

Pu Y, 2023, Research on Application Development Based on Microservice Architecture. Computer Application Abstracts, 39(7): 72–75, 79.

Li X, 2020, Construction of Cloud Training Platform Based on Docker Container Technology. Computer Programming Skills and Maintenance, 2020(7): 105–106, 115.

Wang Y, Tang G, Wang S, et al., 2022, SDN Application-Layer DDoS Attack Defense Mechanism Based on API Call Management. Chinese Journal of Network and Information Security, 8(2): 73–87.

She J, Zhou Y, Wang L, et al., 2018, Metadata-Driven Big Data Service Platform. Science & Technology Communication, 10(5): 105–107.

Yang Y, Liu F, 2023, Design and Implementation of Data Analysis and Processing Platform Based on Big Data Technology. Computer & Telecommunications, 2023(1): 81–85.

Li C, Yao J, Fu F, et al., 2023, Design and Implementation of Teacher Rotation Service System. Computer Application Abstracts, 39(18): 82–84, 87.

Zhang Y, Song J, 2023, Research on Microservice Task Scheduling Algorithm Based on Energy Consumption Perception of Data Middle Platform in Cloud Environment. Information & Computer, 35(10): 85–87.

Liu G, Li J, 2022, Application of ECharts in Shortwave Monitoring Data Visualization. China Radio, 2022(2): 59–60.