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Personality traits and stress perception as predictors of students' online engagement during the COVID-19 pandemic.
Quigley, Martyn; Bradley, Alexander; Playfoot, David; Harrad, Rachel.
Afiliación
  • Quigley M; Swansea University, United Kingdom.
  • Bradley A; University of Portsmouth, United Kingdom.
  • Playfoot D; Swansea University, United Kingdom.
  • Harrad R; Swansea University, United Kingdom.
Pers Individ Dif ; 194: 111645, 2022 Aug.
Article en En | MEDLINE | ID: mdl-35400780
ABSTRACT
The COVID-19 pandemic coupled with increasing student numbers means online learning will remain a prevalent feature of the university experience, therefore it is vital that we understand how personality can influence student online engagement. The current study examined whether students' personality traits and stress perception predicted their online engagement with their studies during the COVID-19 pandemic. A sample of 301 first year psychology students completed the Big Five Inventory, Challenge and Hindrance Stress Scales, and the Online Student Engagement Scale, which measured students' engagement skills, emotional engagement, participation and performance. Results revealed that conscientiousness positively predicted all types of online engagement. Extraversion predicted participation and performance. Neuroticism predicted engagement skills, emotional engagement and performance, whilst agreeableness and openness to experience respectively predicted participation and emotional engagement. Additionally, stress perceived as a hindrance negatively predicted performance. These results reveal that students' personality traits and stress perception influence their online engagement and might enable educators to identify those who may require support in engaging with their studies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Pers Individ Dif Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Pers Individ Dif Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido
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