Hospitality education evolution observed in online learning dataset.

Area of Science:

• Education
• Hospitality Management
• Pandemic Studies

Background:

• The COVID-19 pandemic necessitated rapid shifts in educational delivery across disciplines.
• Hospitality programs faced unique challenges in adapting to remote learning environments.

Purpose of the Study:

• To investigate the transformation of hospitality education towards real-time online courses during the COVID-19 pandemic.
• To analyze the empirical data reflecting these educational changes.

Main Methods:

• Data collection involved surveying 956 respondents from hospitality programs, with 926 valid responses.
• A cooperative survey company, Wenjuanxing, was utilized for data collection via a designed questionnaire.
• Structural Equation Modeling (SEM) with Mplus was employed for data analysis, including Confirmatory Factor Analysis (CFA) and hypothesis testing.

Main Results:

• The study confirmed the shift towards real-time online courses in hospitality education.
• Reliability and validity analyses indicated the questionnaire was suitable for measurement.
• The data analysis using SEM provided insights into the hypotheses and model fitness.

Conclusions:

• The findings suggest a significant mutation in educational delivery within hospitality programs due to the pandemic.
• The collected data is suitable for future replication studies, contributing to ongoing research in educational transformation.