The path and eff ect of training and improving practical ability of applied undergraduate data science and big Data teachers
Jia Luo
Huijuan Zhang
Zhongling Chen
DOI: https://doi.org/10.59429/esta.v10i4.1594
Keywords: Data science and big data specialty; Practical curriculum system; School-enterprise cooperation; Practical ability; Artifi cial intelligence
Abstract
At present, application-oriented undergraduate data science and big data major generally faces the problem of shortage of teachers, lack of practical teaching ability of teachers, lack of practical application ability of graduates, can not meet the needs of employers, and need to go through enterprise training before taking jobs. On the one hand, applied undergraduate can not copy a college training program and teaching mode, should be based on the training objectives of applied undergraduate and market employment demand timely revision of personnel training program, curriculum system and teaching mode. On the other hand, local application-oriented undergraduate big data major teachers are weak, lack of big data technology training environment and slightly lag behind, improve the teaching level of big data teachers, especially the practical ability of teachers is imminent. This paper fi rst analyzes the teaching status and problems of big data major practical courses in our school, and classifi es the practical courses of big data major according to the training direction according to the practical curriculum system. Secondly, it puts forward the ways and methods to improve the practical ability of big data major teachers in our school, and shows the eff ectiveness of school-enterprise cooperation in cultivating the practical ability of big data major teachers in our school.
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