Research on Optimization Strategy of Online Course Teaching of College Chinese during the Epidemic

DOI

10.2991/assehr.k.201030.035How to use a DOI?

Keywords

epidemic, college Chinese online teaching, teaching strategy

Abstract

During the special period when everyone fights against the epidemic to prevent its further spreading, large-scale online teaching practice has brought new technologies, new ideas and new energy into traditional teaching, which promoted the profound ideological innovation of curriculum teaching. During the epidemic, the College Chinese curriculum shall follow the online teaching mode to summarize from three aspects of preparation before class, practice in class and consolidation after class. It also discusses matters with respect to the classroom design optimization, the use of task-driven teaching method, and the shift from passive learning to active learning under the online teaching environment during the epidemic. Online teaching flipped classroom method is adopted to enhance students’ subjective consciousness and the creation of learning atmosphere under the online teaching environment. It need to care for and protect students, respond to students’ concerns actively, and support students in terms of emotion, cognition and self-awareness positively so as to improve the teaching quality during online teaching. Establish a new teaching concept, create active classroom atmosphere and give play to students’ subjective initiatives as to further improve the teaching quality, making sure further learning upon suspension of classes and good curriculum teaching quality.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiying Xia
PY  - 2020
DA  - 2020/11/02
TI  - Research on Optimization Strategy of Online Course Teaching of College Chinese during the Epidemic
BT  - Proceedings of the 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)
PB  - Atlantis Press
SP  - 168
EP  - 171
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201030.035
DO  - 10.2991/assehr.k.201030.035
ID  - Xia2020
ER  -