Student Well-being in Times of COVID-19 in the Netherlands

DOI

Since March 2020, measures surrounding COVID-19 pandemic have resulted in emergency remote teaching with, among others, fewer opportunities for interpersonal contact (Burns et al., 2020). This has caused changes in the learning environment and students' functioning in the academic system, which may likely lead to changes within their well-being. The current study aims to map student well-being in times of COVID-19, identifying both individual factors and structural factors in the learning environment.

Previous research has identified several individual factors that may influence student well-being in times of COVID-19. Amongst those are tolerance to uncertainty, resilience (growth), self-compassion, and attention regulation. In addition to these three individual factors, various factors within the learning environment may influence students' well-being. A sense of autonomy, competence and relatedness- as described within the Self-Determination Theory - play a central role in students' well-being. However, in times of social distancing and online education, it seems essential to investigate the potential of an adjusted learning environment to further fulfill students’ needs. That is why we are aiming to investigate these factors as potential predictors for student well-being, operationalised as positive and negative affect as well as life satisfaction.

Identifier
DOI https://doi.org/10.34894/WLTWCQ
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/WLTWCQ
Provenance
Creator Kiltz, Lisa ORCID logo; Trippenzee, Miranda ORCID logo; Fleer, Joke ORCID logo; Fokkens-Bruinsma, Marjon ORCID logo; Jansen, Ellen P. W. A. ORCID logo
Publisher DataverseNL
Contributor Groningen Digital Competence Centre; University of Groningen; DataverseNL
Publication Year 2023
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Groningen Digital Competence Centre (University of Groningen)
Representation
Resource Type questionnaire data, code book, supplementary information; Dataset
Format application/x-spss-sav; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; application/pdf
Size 936093; 426876; 67150; 1367355; 1181981; 478460; 500348; 40193; 1600836
Version 2.1
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences