Paper
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.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Computer aided design

Information technology

Materials processing

Visualization

Internet

Lead

New and emerging technologies

Back to Top