Min Wu
ABSTRACT
University-industry cooperative education is an important way to cultivate graduate students' innovative ability and practical ability. However, there are some problems in the traditional joint training model of graduate students, such as low efficiency, conflict of objectives of cooperative subjects, a mismatch between supply and demand of cooperative entities, and so on. The big data technology has brought new opportunities and challenges to the joint training of graduate students by university-industry cooperation institutions. Based on analyzing the connotation and characteristics of the big data era, the paper points out that the arrival of the big data era can improve the information integration efficiency of university-industry cooperation institutions, optimize the traditional joint training model of graduate students, and provide an effective evaluation mechanism of educational quality for university-industry cooperation institutions. At the same time, the paper discusses the difficulties of data collection and disclosure of data privacy faced by university-industry cooperative education in the big data era. The paper also discusses how to deal with the challenges from the perspective of the government, colleges and universities, scientific research institutions and enterprises.
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