Academic Journal

University students' acceptance of video-conferencing for learning of mathematics in the post-COVID-19 era.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: University students' acceptance of video-conferencing for learning of mathematics in the post-COVID-19 era.
Συγγραφείς: Mailizar, Mailizar, Gradini, Ega, Wijaya, Tommy Tanu, Al-Manthari, Abdulsalam
Πηγή: Contemporary Educational Technology; Oct2025, Vol. 17 Issue 4, p1-17, 17p
Θεματικοί όροι: Videoconferencing, COVID-19 pandemic, Digital technology, Learning, Technology Acceptance Model, Digital literacy, College students, Mathematics
Γεωγραφικοί όροι: Indonesia
Περίληψη: This study aims to examine the factors that influence university students' behavioral intention in accepting video-conferencing for learning mathematics in the post-COVID-19 era. Videoconferencing as a learning tool has been widely used to establish effective communication among learners, teachers, and peers. This is particularly valuable in situations where face-toface communication is not possible, such as during the COVID-19 pandemic. As the pandemic comes to an end, it is unclear whether video-conferencing will continue to be widely used as a teaching and learning tool. This study extends the technology acceptance model (TAM) by adding digital literacy (critical use, technology focused, and digital reading) and social presence (SC) as external factors. Extended TAM with digital literacy and SC as factors provide understanding on how university students' digital literacy level and their connection and engagement with others influences their acceptance of video-conferencing for learning. The participants include 238 students from six universities in Indonesia (three public universities and three private universities), who enrolled in bachelor's degree of mathematics and mathematics education. The questionnaire consisted of 40 items administered online to students selected by random sampling. A partial least square-structural equation modelling approach was used to analyze the measurement model, test the path, and draw conclusions. The findings of this study shows that attitude is the most important factor that has influenced the intention to employ videoconferencing after a pandemic situation. In addition, SC is considered the most significant factor in students' attitudes towards the use of video-conferencing in the post-COVID-19 era. [ABSTRACT FROM AUTHOR]
Copyright of Contemporary Educational Technology is the property of Bastas Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: University students' acceptance of video-conferencing for learning of mathematics in the post-COVID-19 era.
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  Data: Contemporary Educational Technology; Oct2025, Vol. 17 Issue 4, p1-17, 17p
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  Data: <searchLink fieldCode="DE" term="%22Videoconferencing%22">Videoconferencing</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Acceptance+Model%22">Technology Acceptance Model</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+literacy%22">Digital literacy</searchLink><br /><searchLink fieldCode="DE" term="%22College+students%22">College students</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics%22">Mathematics</searchLink>
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  Label: Abstract
  Group: Ab
  Data: This study aims to examine the factors that influence university students' behavioral intention in accepting video-conferencing for learning mathematics in the post-COVID-19 era. Videoconferencing as a learning tool has been widely used to establish effective communication among learners, teachers, and peers. This is particularly valuable in situations where face-toface communication is not possible, such as during the COVID-19 pandemic. As the pandemic comes to an end, it is unclear whether video-conferencing will continue to be widely used as a teaching and learning tool. This study extends the technology acceptance model (TAM) by adding digital literacy (critical use, technology focused, and digital reading) and social presence (SC) as external factors. Extended TAM with digital literacy and SC as factors provide understanding on how university students' digital literacy level and their connection and engagement with others influences their acceptance of video-conferencing for learning. The participants include 238 students from six universities in Indonesia (three public universities and three private universities), who enrolled in bachelor's degree of mathematics and mathematics education. The questionnaire consisted of 40 items administered online to students selected by random sampling. A partial least square-structural equation modelling approach was used to analyze the measurement model, test the path, and draw conclusions. The findings of this study shows that attitude is the most important factor that has influenced the intention to employ videoconferencing after a pandemic situation. In addition, SC is considered the most significant factor in students' attitudes towards the use of video-conferencing in the post-COVID-19 era. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Contemporary Educational Technology is the property of Bastas Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: College students
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      – SubjectFull: Mathematics
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              Text: Oct2025
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