TITLE:
Research and Practice of Government-Industry-Academia-Research Collaborative Educational Mechanism for the Integration of Economics and Management Majors with Big Data
AUTHORS:
Fengyun Wang, Liyan Liu
KEYWORDS:
Economics and Management Majors, Big Data Integration Teaching, Government-Industry-Academia-Research Mechanism, Collaborative Education Mechanism
JOURNAL NAME:
Creative Education,
Vol.15 No.12,
December
20,
2024
ABSTRACT: The rapid development of Big Data and Artificial Intelligence has had an increasingly profound impact on society and the business sector, resulting in significant changes in the demand for talent in the market. Therefore, it is particularly important to explore the ability quality based on big data thinking and promote the deep integration of “professional thinking, professional judgment thinking, and big data thinking” in order to cultivate application-oriented and compound professionals. This paper analyzes the challenges and opportunities facing the cultivation of talents in economics and management under the background of big data and constructs the government-industry-academia-research collaborative educating mechanism for the fusion of economics and management majors with big data from the aspects of cultivation goal setting, curriculum system construction, teaching mode innovation, faculty construction, and practical training platform construction. The practical effect of the government-industry-academia-research collaborative education mechanism for the integration of economics and management majors with big data is evaluated through the quality and satisfaction of student cultivation, student employment, practical teaching, and student participation in disciplinary competitions. The results of the study show that by integrating big data and information technology into economics and management majors, graduates are able to meet the demand for talent in the era of the digital economy and realize the effective docking between talent cultivation and job demand.