Can Personality Traits Predict Students' Satisfaction with Blended Learning during the COVID-19 Pandemic?

Autor/inn/en	Tovmasyan, Anna; Walker, Daniel; Kaye, Linda
Titel	Can Personality Traits Predict Students' Satisfaction with Blended Learning during the COVID-19 Pandemic?
Quelle	In: College Teaching, 71 (2023) 1, S.49-55 (7 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	8756-7555
DOI	10.1080/87567555.2022.2156450
Schlagwörter	Foreign Countries; Personality Traits; Student Satisfaction; Blended Learning; COVID-19; Pandemics; Undergraduate Students; Predictor Variables; United Kingdom + Suchen Sie Ihr Suchwort? Ausland; Individual characteristics; Personality characteristic; Persönlichkeitsmerkmal; Prädiktor; Großbritannien
Abstract	The present study aimed to assess the impact of personality traits on student satisfaction with blended learning which many higher education institutions have adopted since the COVID-19 pandemic in the UK. Personality traits were assessed using the International Personality Item Pool and student satisfaction was recorded on a 7-point Likert scale. Data analysis of 72 undergraduate students revealed that low extraversion and high neuroticism predicted higher levels of student satisfaction. Implications are discussed considering the current pandemic with a view of increasing student satisfaction and in-turn improving National Student Survey results that impact on Teaching Excellence Framework scores and league tables. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01