The outbreak of the COVID-19 pandemic has strongly influenced teaching and learning in Vietnam's higher education institutions. Social distancing -the health care practice of increasing the physical space between people to avoid spreading illness due to COVID-19 has required schools to employ distance learning. As such, video conferencing tools (VCTs) have been used nationwide to ensure effective responses to the requirement. Although teaching and learning with VCTs have been proven effective by many researchers, it is not clear what benefits and challenges they bring to higher education in Vietnam, especially with respect to students' acceptance to the classroom uses of technology in the time of unexpected events. This study aims to address this gap by examining external factors that affected students' acceptance of VCTs during the COVID pandemic. Data were collected online from university students between April 14, 2020 and April 23, 2020. After this period, the research group received 294 records, in which 227 were analyzed using an extended Technology Acceptance Model (TAM) and Structural Equation Modeling (SEM). The result indicated that external factors such as subject norm and computer playfulness had a significant impact on most TAM constructs. Furthermore, output quality was found to have a positive influence on students' perceived usefulness in the acceptance of VCTs in distance learning.
The outbreak of COVID-19 at the beginning of 2020 has heavily influenced education all around the world. In Vietnam, educational institutes were suspended, and distance learning was conducted to ensure students’ learning process, with distance learning occurring mainly via video conferencing tools (VTCs). The purpose of this paper is to provide data on Vietnamese students’ acceptance of using VCTs in distance learning during the COVID-19 pandemic through an extended technology acceptance model (TAM) and structural equation modeling (SEM) method. This study used the TAM of Venkatesh and Davis. The questionnaire was designed based on Venkatesh and Davis and Salloum et al.’s scale. An online survey with snowball sampling was selected in April. The final dataset consisted of 277 valid records. This data descriptor presented descriptive statistics (mean, standard deviation), internal consistency (Cronbach’s alpha), reliability and validity measures (composite reliability, average value extracted test,) and factor loading of items of eight factors: output quality, computer playfulness, subjective norm, perceived usefulness, perceived ease of use, attitude towards to use, behavioral intention to use, and actual system to use. Results indicated that external factors such as subjective norm and computer playfulness had a significant impact on most TAM constructs. Furthermore, output quality was found to have a positive influence on students’ perceived usefulness and acceptance of VCTs in distance learning.
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