文章基本信息

标题：Study on talent educational reform model of new energy automation based on big data
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作者：Yan Huo ; Guangying Yang
期刊名称：E3S Web of Conferences
印刷版ISSN：2267-1242
电子版ISSN：2267-1242
出版年度：2021
卷号：261
页码：1-4
DOI：10.1051/e3sconf/202126101051
语种：English
出版社：EDP Sciences
摘要：For the situation of energy depletion, the development of clean energy and powder has become a trend in the future. In order to explore the talent training for new energy automation, an innovative education model needs to be established to constitute an oriented training system from many aspects of teaching and learning based on big data. With modern information technology, the education hierarchical methods under the principle of society demand are used. The potential opportunities and challenges of new energy automation training is comprehensively analyzed, and the big data, feasible curriculum system and education modes are discussed. From the perspective of big data, the teaching strategies and teaching contents for the model based on big data are given respectively.