Current status analysis and countermeasures of talent training mode for environmental design specialty of vocational undergraduate under the background of big data

Pei Cai; XueBing Xiao

doi:10.1117/12.2635687

6 May 2022 Current status analysis and countermeasures of talent training mode for environmental design specialty of vocational undergraduate under the background of big data

Pei Cai, XueBing Xiao

Author Affiliations +

Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 122561I (2022) https://doi.org/10.1117/12.2635687
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China

Abstract

Under these circumstances of big data age, environmental design specialty of vocational undergraduate can make full use of the advantages of big data to realize the sharing of teaching resources, as well as provide students with more opportunities for autonomous learning and practical application. Combined with the characteristics of big data, this paper starts with analyzing the background and current situation of environmental design specialty of vocational undergraduate, recognizes the talent training objectives for environmental design specialty of vocational undergraduate under the background of big data. It puts forward the talent training strategies of environmental design specialty of vocational education at undergraduate level, as well as the relevant suggestions to improve the teaching level and teaching quality of environmental design major of vocational undergraduate from four aspects: professional subject construction, evaluation system, digital teaching environment construction and teaching objective system construction, hoping to provide reference for environmental art talents of vocational undergraduate.

Citation Download Citation

Pei Cai and XueBing Xiao "Current status analysis and countermeasures of talent training mode for environmental design specialty of vocational undergraduate under the background of big data", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 122561I (6 May 2022); https://doi.org/10.1117/12.2635687

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Computer aided design

Information technology

Materials processing

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