Can Personality Traits Predict Students' Satisfaction with Blended Learning during the COVID-19 Pandemic?. Issue 1 (2nd January 2023)

• Record Type: Journal Article
• Authors: Tovmasyan, Anna; Walker, Daniel; Kaye, Linda
• Is Part Of: College teaching. Volume 71:Issue 1(2023)
• Page Start: 49
• Page End: 55
• Publication Date: 2023-01-02
• Subjects: Blended learning -- COVID-19 -- higher education -- personality traits -- student satisfaction; College teaching -- Periodicals; 378.1205
• DOI: 10.1080/87567555.2022.2156450
• Languages: English
• ISSNs: 8756-7555

Abstract

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.