Web-based videoconferencing in online teaching during the COVID-19 pandemic: university students' perspectives

Stavros A. Nikou

doi:10.1109/ICALT52272.2021.00137

Web-based videoconferencing in online teaching during the COVID-19 pandemic: university students' perspectives

Stavros A. Nikou

Education

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

6 Citations (Scopus)

6 Downloads (Pure)

Abstract

Web-based videoconferencing systems have become very popular means of online teaching during the educational shift from face-to-face to online due to the COVID-19 pandemic. Students around the world have been attending online classes through different web-based videoconferencing platforms instead of face-to-face lectures and seminars. The current study aims to investigate University students’ intentions to continue use web-based videoconferencing systems for their learning, when social distancing render unnecessary and Universities re-open after the pandemic is over. This study is part of our wider investigation on the impact of the COVID-19 pandemic on students’ experiences about different e-learning technologies and related pedagogies. The current study proposes a model based on the Technology Acceptance Model (TAM) and the Expectancy Confirmation Model (ECM) in order to explain and predict continuance intention to use videoconferencing systems in the post-COVID-19 era. Sixty-one students from a School of Education in a UK University completed an online survey. Structural equation modelling was used to analyze the data. The model explains and predicts 53% of the total variance in continuance intention to use videoconferencing systems for learning online in terms of perceived usefulness, social influence, satisfaction and confirmation. Satisfaction and perceived usefulness were found to be the most significant predictors of continuance intention to use. Implications for the use of web-based videoconferencing systems for online teaching and learning in the post-COVID 19 landscape are discussed.

Original language	English
Title of host publication	Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021
Editors	Maiga Chang, Nian-Shing Chen, Demetrios G Sampson, Ahmed Tlili
Place of Publication	Piscataway, NJ.
Publisher	IEEE
Pages	431-435
Number of pages	5
ISBN (Electronic)	9781665441063
ISBN (Print)	9781665431163
DOIs	https://doi.org/10.1109/ICALT52272.2021.00137
Publication status	Published - 13 Jul 2021
Event	The 21st IEEE International Conference on Advanced Learning Technologies - Online Duration: 12 Jul 2021 → 15 Jul 2021 https://tc.computer.org/tclt/icalt2021/

Conference

Conference	The 21st IEEE International Conference on Advanced Learning Technologies
Abbreviated title	ICALT 2021
Period	12/07/21 → 15/07/21
Internet address	https://tc.computer.org/tclt/icalt2021/

Keywords

continuance intention to use
technology acceptance
expectancy confirmation model
online learning
web-based videoconferencing

Access to Document

10.1109/ICALT52272.2021.00137

Nikou-ICALT-2021-Web-based-videoconferencing-in-online-teaching-during-the-COVID-19Accepted author manuscript, 666 KB

Cite this

@inproceedings{108be6afe71f4baeb187a5bea4400354,

title = "Web-based videoconferencing in online teaching during the COVID-19 pandemic: university students' perspectives ",

abstract = "Web-based videoconferencing systems have become very popular means of online teaching during the educational shift from face-to-face to online due to the COVID-19 pandemic. Students around the world have been attending online classes through different web-based videoconferencing platforms instead of face-to-face lectures and seminars. The current study aims to investigate University students{\textquoteright} intentions to continue use web-based videoconferencing systems for their learning, when social distancing render unnecessary and Universities re-open after the pandemic is over. This study is part of our wider investigation on the impact of the COVID-19 pandemic on students{\textquoteright} experiences about different e-learning technologies and related pedagogies. The current study proposes a model based on the Technology Acceptance Model (TAM) and the Expectancy Confirmation Model (ECM) in order to explain and predict continuance intention to use videoconferencing systems in the post-COVID-19 era. Sixty-one students from a School of Education in a UK University completed an online survey. Structural equation modelling was used to analyze the data. The model explains and predicts 53% of the total variance in continuance intention to use videoconferencing systems for learning online in terms of perceived usefulness, social influence, satisfaction and confirmation. Satisfaction and perceived usefulness were found to be the most significant predictors of continuance intention to use. Implications for the use of web-based videoconferencing systems for online teaching and learning in the post-COVID 19 landscape are discussed.",

keywords = "continuance intention to use, technology acceptance, expectancy confirmation model, online learning, web-based videoconferencing",

author = "Nikou, {Stavros A.}",

note = "{\textcopyright} 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; The 21st IEEE International Conference on Advanced Learning Technologies, ICALT 2021 ; Conference date: 12-07-2021 Through 15-07-2021",

year = "2021",

month = jul,

day = "13",

doi = "10.1109/ICALT52272.2021.00137",

language = "English",

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pages = "431--435",

editor = "Maiga Chang and Nian-Shing Chen and Sampson, {Demetrios G} and Ahmed Tlili",

booktitle = "Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021",

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Nikou, SA 2021, Web-based videoconferencing in online teaching during the COVID-19 pandemic: university students' perspectives . in M Chang, N-S Chen, DG Sampson & A Tlili (eds), Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021., 00137, IEEE, Piscataway, NJ., pp. 431-435, The 21st IEEE International Conference on Advanced Learning Technologies, 12/07/21. https://doi.org/10.1109/ICALT52272.2021.00137

Web-based videoconferencing in online teaching during the COVID-19 pandemic : university students' perspectives . / Nikou, Stavros A.

Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021. ed. / Maiga Chang; Nian-Shing Chen; Demetrios G Sampson; Ahmed Tlili. Piscataway, NJ. : IEEE, 2021. p. 431-435 00137.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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T1 - Web-based videoconferencing in online teaching during the COVID-19 pandemic

T2 - The 21st IEEE International Conference on Advanced Learning Technologies

AU - Nikou, Stavros A.

N1 - © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2021/7/13

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N2 - Web-based videoconferencing systems have become very popular means of online teaching during the educational shift from face-to-face to online due to the COVID-19 pandemic. Students around the world have been attending online classes through different web-based videoconferencing platforms instead of face-to-face lectures and seminars. The current study aims to investigate University students’ intentions to continue use web-based videoconferencing systems for their learning, when social distancing render unnecessary and Universities re-open after the pandemic is over. This study is part of our wider investigation on the impact of the COVID-19 pandemic on students’ experiences about different e-learning technologies and related pedagogies. The current study proposes a model based on the Technology Acceptance Model (TAM) and the Expectancy Confirmation Model (ECM) in order to explain and predict continuance intention to use videoconferencing systems in the post-COVID-19 era. Sixty-one students from a School of Education in a UK University completed an online survey. Structural equation modelling was used to analyze the data. The model explains and predicts 53% of the total variance in continuance intention to use videoconferencing systems for learning online in terms of perceived usefulness, social influence, satisfaction and confirmation. Satisfaction and perceived usefulness were found to be the most significant predictors of continuance intention to use. Implications for the use of web-based videoconferencing systems for online teaching and learning in the post-COVID 19 landscape are discussed.

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KW - expectancy confirmation model

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KW - web-based videoconferencing

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DO - 10.1109/ICALT52272.2021.00137

M3 - Conference contribution book

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ER -

Web-based videoconferencing in online teaching during the COVID-19 pandemic: university students' perspectives

Abstract

Conference

Keywords

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