Mining Analysis of Online and Offline Teaching Modes in Colleges and Universities Under the COVID-19 Epidemic

DOI

10.2991/978-2-494069-02-2_43How to use a DOI?

Keywords

COVID-19 epidemic; Online teaching; Mining analysis; SPSS

Abstract

Based on the big data sample of online teaching and questionnaires in a university in Chengdu before and after the epidemic, this paper analyzes and comes up with the advantages and disadvantages of online teaching and online and offline combined teaching, summarizes the impact of changes in teaching modes on college students’ study and life against the background of the epidemic, uses SPSS (Statistic Package for Social Science) software to sort out and statistically test the data, analyzes the advantages and disadvantages of different online and offline teaching modes before and after the COVID-19 epidemic, and puts forward reasonable suggestions for the online and offline combined teaching mode.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Wenxi Liao
AU  - Yangli Liu
AU  - Yang Lei
AU  - Song Luo
PY  - 2022
DA  - 2022/11/14
TI  - Mining Analysis of Online and Offline Teaching Modes in Colleges and Universities Under the COVID-19 Epidemic
BT  - Proceedings of the 2nd International Conference on Education: Current Issues and Digital Technologies (ICECIDT 2022)
PB  - Atlantis Press
SP  - 391
EP  - 399
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-02-2_43
DO  - 10.2991/978-2-494069-02-2_43
ID  - Liao2022
ER  -