Proceedings of the 2021 International Conference on Social Sciences and Big Data Application (ICSSBDA 2021)

Visual Teaching and Simulation Experiments of High Voltage Technology in the Post-modern Curriculum View

Authors
Ying Ma1, *, Huida Duan2
1,2School of Electrical Engineering and Information Technology, Changchun Institute of Technology, Changchun, China
*Corresponding author. Email: xiaomayinghappy@126.com
Corresponding Author
Ying Ma
Available Online 17 December 2021.
DOI
https://doi.org/10.2991/assehr.k.211216.021How to use a DOI?
Keywords
Virtual simulation; Postmodern view of curriculum; Digitalization; Smart teaching
Abstract

The high voltage technology course is rich in content and abstract content, many course knowledge points, involving high voltage levels and limited daily teaching equipment. Build a virtual simulation experiment teaching project for high voltage technology. By building a platform such as DC withstand voltage virtual simulation experiment, we explore the digital online intelligent teaching method under the view of post-modern curriculum. Strengthen students’ understanding of theoretical knowledge through practical application and realize independent, inquiry and cooperative learning ability.

Copyright
© 2021 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 2021 International Conference on Social Sciences and Big Data Application (ICSSBDA 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
17 December 2021
ISBN
978-94-6239-487-2
ISSN
2352-5398
DOI
https://doi.org/10.2991/assehr.k.211216.021How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ying Ma
AU  - Huida Duan
PY  - 2021
DA  - 2021/12/17
TI  - Visual Teaching and Simulation Experiments of High Voltage Technology in the Post-modern Curriculum View
BT  - Proceedings of the 2021 International Conference on Social Sciences and Big Data Application (ICSSBDA 2021)
PB  - Atlantis Press
SP  - 107
EP  - 111
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.211216.021
DO  - https://doi.org/10.2991/assehr.k.211216.021
ID  - Ma2021
ER  -