Work

Understanding Students’ Acceptance and Usage Behaviors of Online Learning in Mandatory Contexts: A Three-Wave Longitudinal Study during the COVID-19 Pandemic

Year: 2022

Type: article

Abstract: Online learning has been mandatorily adopted in many countries due to the closure of educational institutions caused by the COVID-19 pandemic. However, antecedents of the acceptance and continuance of online learning in such a situation and their changing role over time have not been well understood. This study proposed and empirically tested a longitudinal acceptance model of online learning by integrating the technology acceptance model (TAM) with the task–technology fit (TTF). Data were collected using a three-wave longitudinal survey from 251 Chinese college students after the outbreak of the COVID-19 pandemic. The results showed that most hypothesized relationships in the proposed model were supported and remained across the three-time stages, while the effects of perceived ease of use on perceived usefulness and behavioral intention changed over time. In addition, students’ perceptions at previous stages had little impact on perceptions at subsequent stages, except for perceived usefulness and behavioral intention. Our study demonstrates that the integrated model of TAM and TTF could be an effective tool to understand students’ acceptance of online learning across different time stages in a mandatory setting and that longitudinal design could be applicable to examine the changing mechanism of the acceptance and continuance use of online learning over time.

Source: Sustainability

DOI: 10.3390/su14137830

Authors: Da Tao, Wenkai Li, Mingfu Qin, Miaoting Cheng

Institutions: Shenzhen University, Hunan Vocational College For Nationalities

Language: English

Topic: Technology Adoption and User Behaviour

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $2,094