Deep Mining of Teaching Data Under Online Teaching Quality Control

DOI

10.2991/assehr.k.200801.005How to use a DOI?

Keywords

online teaching, platform, teaching data

Abstract

In response to the national call for “no extension of education, no suspension of classes”, online teaching in our school is fully launched as scheduled. In order to ensure the quality of undergraduate online classroom teaching, from the point of view of teaching quality monitoring, through investigation, taking the teaching data of Yan’an University as an example, taking a small part to see the whole, this paper analyzes the existing problems in online teaching in colleges and universities in China at present, and puts forward some improvement methods and suggestions.

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  - Ying Gao
AU  - Wendong Wang
PY  - 2020
DA  - 2020/08/01
TI  - Deep Mining of Teaching Data Under Online Teaching Quality Control
BT  - Proceedings of the 2020 International Conference on Social Science, Economics and Education Research (SSEER 2020)
PB  - Atlantis Press
SP  - 24
EP  - 27
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200801.005
DO  - 10.2991/assehr.k.200801.005
ID  - Gao2020
ER  -