Developing a Big Data-Driven Collaborative Platform for Industry-University Education: A Case Study

Abstract

The collaborative education of industry university cooperation plays an important role in the cultivation of students' professional quality and innovation ability. Taking the big data driven digital economy innovation practice platform jointly built by Yancheng Teachers University and Beijing Zhilian Technology Co., Ltd. (referred to as the big data economic practice platform) as an example, this paper introduces the era background, construction methods and use scenarios of the construction of the practice platform. The big data economic practice platform plays an important role in supporting the collaborative hybrid teaching of "university teachers -AI- enterprise teachers", supporting interdisciplinary research teaching, supporting discipline competitions, etc., and has achieved a series of results in promoting the improvement of the school enterprise integrated talent training program, connecting the school enterprise professional core courses, promoting the co construction and sharing of school enterprise teaching resources, promoting the virtual and real integration of the practice environment, and promoting the reform of evaluation methods. This paper discusses the problems existing in the collaborative education of industry university cooperation in coordinating interest demands, jointly building and sharing teaching resources, cross regional cooperation and other aspects, and puts forward some paths for the sustainable development of the collaborative education of industry university cooperation, such as establishing the dominant position, clarifying the division of education, establishing coordination institutions, and expanding the cooperation mode.