Exploration of college teachers’ psychological adaptation to online teaching during the COVID-19 pandemic using potential profile analysis

Author:

Zou Weixing,Ding Xiangmei,Wang HongliORCID

Abstract

The present study used a person-centered approach to examine college teachers’ psychological adaptation to online teaching and its relationship with demographic variables. A total of 2104 college teachers were surveyed using the Psychological Adaption to Online Teaching Scale between March 25 and March 31, 2020. Data were analyzed using latent profile analysis, chi-square test, and multinomial logistic regression analysis. Based on their psychological adaptation during online teaching immediately after the coronavirus disease 2019 (COVID-19) outbreak, college teachers were divided into three latent profiles: common, maladaptive, and positive. Among these, the common type accounted for the largest proportion (56.1%), while the maladaptive type accounted for the smallest (10.9%). There were significant differences in the distribution of psychological adaptation latent types in college teachers with different educational backgrounds and professional titles. A better educational background and higher professional title is closely related with college teachers’ psychological adaptation to online teaching.

Funder

Southwest Guizhou Autonomous Prefecture Technology Planning Project

Professorial Fund Project of Minzu Normal University of Xingyi

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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