| Issue |
E3S Web Conf.
Volume 261, 2021
2021 7th International Conference on Energy Materials and Environment Engineering (ICEMEE 2021)
|
|
|---|---|---|
| Article Number | 01051 | |
| Number of page(s) | 4 | |
| Section | Energy Development and Energy Storage Technology Research and Development | |
| DOI | https://doi.org/10.1051/e3sconf/202126101051 | |
| Published online | 21 May 2021 | |
Study on talent educational reform model of new energy automation based on big data
School of Information Engineering, Shenyang University, Shenyang, China
* Corresponding author: huoyansyu@163.com
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.
© The Authors, published by EDP Sciences, 2021
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