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Dataset of international students' acceptance of online distance learning during COVID-19 pandemic: A preliminary investigation.
Shi-Hui, Steve; Chaw, Lee Yen; Aw, Eugene Cheng-Xi; Sham, Rohana.
  • Shi-Hui S; UCSI Graduate Business School, UCSI University, No. 1, Jalan Menara Gading, UCSI Heights (Taman Connaught), Cheras, Kuala Lumpur 56000, Malaysia.
  • Chaw LY; UCSI Graduate Business School, UCSI University, No. 1, Jalan Menara Gading, UCSI Heights (Taman Connaught), Cheras, Kuala Lumpur 56000, Malaysia.
  • Aw EC; UCSI Graduate Business School, UCSI University, No. 1, Jalan Menara Gading, UCSI Heights (Taman Connaught), Cheras, Kuala Lumpur 56000, Malaysia.
  • Sham R; Faculty of Business and Management, UCSI University, No. 1, Jalan Menara Gading, UCSI Heights (Taman Connaught), Cheras, Kuala Lumpur 56000, Malaysia.
Data Brief ; 42: 108232, 2022 Jun.
Article in English | MEDLINE | ID: covidwho-1814313
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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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Language: English Journal: Data Brief Year: 2022 Document Type: Article Affiliation country: J.dib.2022.108232

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Language: English Journal: Data Brief Year: 2022 Document Type: Article Affiliation country: J.dib.2022.108232