https://www.socictopen.socict.org/files/original/a44667a4fa35fef46d6b1b5feec07ad4.pdf 230986cb76e4c2e123c0d4ac6828eb85 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Examining university students' behavioural intention to use e-learning during the COVID-19 pandemic: An extended TAM model. Creator An entity primarily responsible for making the resource Mailizar Mailizar, Damon Burg, Suci Maulina Description An account of the resource This present study aims to investigate factors that impact behavioural intention of university students on e-learning use during the COVID-19 pandemic. An online questionnaire was utilised to gather data from 109 students enrolled in one of the universities in Indonesia. The Technology Acceptance Model (TAM) was the primary framework employed for analysis, in which system quality and e-learning experience were included as external constructs to seek out a much better model to improve the understanding of students' intention to adopt e-learning. An extended TAM model was developed and tested in this study. The model consists of six constructs: system quality, e-learning experience, perceived ease of use, perceived usefulness, attitude toward use, and behavioural intention. Structural Equation Modelling (SEM) and SMART PLS 3.0 software were applied for data analysis. The findings informed that the proposed model has been succefully explained factors university students use of e-learning during the pandemic in Indonesia. It suggested that attitude toward e-learning use was the most prominent construct to predict university students' behavioural intention to use e-learning during the pandemic. Finally, this study offers recommendations for future research and practices. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, e-learning, Indonesia, university students, Extended TAM Identifier An unambiguous reference to the resource within a given context 10.1007/s10639-021-10557-5 Source A related resource from which the described resource is derived Education and information technologies