Journal ArticleDOI
Hospitality students at the online classes during COVID-19 – How personality affects experience?
TLDR
In this article, the authors explore how the personality traits of hospitality students are associated with their level of anxiety and how their learning experience is affected by the recent COVID-19 pandemic.Abstract:
The recent COVID-19 pandemic has forced all teaching and learning activities to shift to online platforms. Hospitality students are not exempted from this transition even though they are used to offline learning environment and often take a blended learning of theoretical and practical components. This sudden change has caused disruptions in their learning process and created all kinds of anxieties. Thus, this study aimed to explore how the personality traits of hospitality students are associated with their level of anxieties and how their learning experience is affected. A survey was conducted in Hong Kong shortly after the affected semester ended. Results showed that students with high levels of agreeableness and openness to experience perceive a high degree of learning, technical, and financial anxiety. By contrast, students with high levels of conscientiousness, extraversion, and neuroticism partially sense a low degree of these anxieties. Results also revealed that a low degree of learning and financial anxiety can enhance students’ perceived online learning and consequently improve student satisfaction. Theoretical development and managerial implications are further discussed.read more
Citations
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Determining the attributes that influence students' online learning satisfaction during COVID-19 pandemic.
TL;DR: In this article, the authors employed the user experience questionnaire (UEQ) to examine students' online learning experiences specifically in the context of COVID-19 and found that stimulating and attractiveness was the strongest predictor of the students' satisfaction regarding online learning during the COVID19 disruptions.
Journal ArticleDOI
Determining the attributes that influence students’ online learning satisfaction during COVID-19 pandemic
TL;DR: In this article , the authors employed the user experience questionnaire (UEQ) to examine students' online learning experiences specifically in the context of COVID-19 and found that "Stimulation and attractiveness" was the strongest predictor of the students' satisfaction regarding online learning during the COVID19 disruptions.
Journal ArticleDOI
Personality traits predict the effects of Internet and academic self-efficacy on practical performance anxiety in online learning under the COVID-19 lockdown
TL;DR: In this article, the authors explored the correlations between two personality traits, Neuroti-ticism and Neuroticism, and found that they correlate well with the primary teaching method of COVID-19.
Journal ArticleDOI
Hospitality and Tourism Higher Education in the Post-COVID Era: Is It Time to Change?
TL;DR: In this article , a focus group of 30 participants, consisting of hospitality and tourism students, faculty members, and industry professionals, were interviewed in focus groups and the results demonstrate curricula with a heavy emphasis on technology (artificial intelligence, virtual reality, or big data), marketing, culture/diversity, safety/crisis management, and entrepreneurship; and soft competencies focusing on creativity, selfconfidence/positivity, self-care/wellness, critical thinking, leadership and teamwork.
Journal ArticleDOI
Live streaming in tourism and hospitality: a literature review
TL;DR: Wang et al. as discussed by the authors conducted a systematic review of live streaming and categorized prior accumulated knowledge, revealing research gaps and providing future research agenda, uncovering a notable imbalance between the research of tourists and business operators.
References
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Claes Fornell,David F. Larcker +1 more
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TL;DR: In this paper, two types of error involved in fitting a model are considered, error of approximation and error of fit, where the first involves the fit of the model, and the second involves the model's shape.
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TL;DR: In this article, structural equation models with latent variables are defined, critiqued, and illustrated, and an overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence.
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A Paradigm for Developing Better Measures of Marketing Constructs
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