Exploration of college teachers' psychological adaptation to online teaching during the COVID-19 pandemic using potential profile analysis.
Autor: | Weixing Zou, Xiangmei Ding, Hongli Wang |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: | |
Zdroj: | PLoS ONE, Vol 17, Iss 12, p e0278896 (2022) |
Druh dokumentu: | article |
ISSN: | 1932-6203 |
DOI: | 10.1371/journal.pone.0278896 |
Popis: | 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. |
Databáze: | Directory of Open Access Journals |
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