Dataset of international students' acceptance of online distance learning during COVID-19 pandemic: A preliminary investigation.

Clicks: 170
ID: 275303
2022
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Combines engagement data with AI-assessed academic quality
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Abstract
The dataset describes factors affecting international students' acceptance of Online Distance Learning (ODL) mode while pursuing oversea education during COVID-19 pandemic. The recruited respondents comprised of international students who were pursuing undergraduate degree programmes in the institutions of higher learning (IHLs) in Malaysia. Respondents were invited to participate in an online survey via Google Forms. A purposive sampling technique was adopted in this research whereby a total of 207 valid questionnaires were obtained and used for data analysis. Data outputs such as respondents' profile, Partial Least Squares Structural Equation Modelling, and importance-performance matrix analysis were presented. The data can be used as a reference source to identify areas of improvement by educators, academic management, and policy makers of IHLs.
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shihui2022datasetdata Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Shi-Hui, Steve;Chaw, Lee Yen;Aw, Eugene Cheng-Xi;Sham, Rohana;
Journal Data in brief
Year 2022
DOI
10.1016/j.dib.2022.108232
URL
Keywords
e-learning online education online learning malaysia institutions of higher learning (ihls) utaut model

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