Data for: Data on Vietnamese students' technology acceptance model in distance learning in COVID-19 pandemic

Published: 15 August 2020| Version 1 | DOI: 10.17632/d842smr4bc.1
Contributors:
Xuan-An Nguyen, Dinh-Hai Luong

Description

The data comprises two main parts. The first part is demographic information of respondents. The second part includes two major groups of variable, which is related to the adoption of Vietnamese students on the use of VCTs in distance learning during the COVID-19 pandemic: (1) External factors group, including Output quality (OQ), Computer playfulness (CP), and Subject norms (SN); and (2) TAM constructs group, including Perceived usefulness (PU), Perceived ease of use (PEU), Attitude toward to use (ATT), Behavioral intention to use (BI), and Actual system use (ASU).

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Steps to reproduce

During the social distancing period, an online survey was the most effective method to collect data. A questionnaire was designed on Google Forms and was distributed to the participants using the Snowball data collection method. In the first step, the questionnaire was sent to the managerial staff and lecturers of different universities to make sure the questions were simple enough to understand before it reached the students via email. The students were encouraged to spend 15 to 20 minutes on the questionnaire, although they were to decide whether they would do it or not. Those who had completed the survey were encouraged to invite their peers who also used VCTs in distance learning to do the questionnaire. Data were collected in 10 days, from April 14, 2020 to April 23, 2020, and no more data was accepted after that day. The initial set of data consisted of 294 records. After a general observation, 17 records were discarded because the participants only provided a constant value for all questions. The last data set of 277 records were analysed on the Statistical Package for Social Sciences (SPSS 20) statistical analysis software, and the research model and hypotheses were tested on the AMOS 23 structural analysis software.

Institutions

Hanoi University, Hanoi University of Science and Technology, Hanoi National University of Education

Categories

Education

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