Technology Enabling the New Normal: How Students Respond to Classes
This cross-sectional study investigates the online education intention of undergraduate students in the largest and oldest public university in Bangladesh during the COVID-19 pandemic. Under convenient sampling, 843 undergraduate students with rural and urban backgrounds participated in an online se...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Athabasca University Press
2022-11-01
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| Series: | International Review of Research in Open and Distributed Learning |
| Subjects: | |
| Online Access: | https://www.irrodl.org/index.php/irrodl/article/view/6295 |
| _version_ | 1811332627477561344 |
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| author | Muhammad Shariat Ullah Md. Shariful Alam Khandakar Muhammad Abdul Aziz Daisy Mui Hung Kee |
| author_facet | Muhammad Shariat Ullah Md. Shariful Alam Khandakar Muhammad Abdul Aziz Daisy Mui Hung Kee |
| author_sort | Muhammad Shariat Ullah |
| collection | DOAJ |
| description | This cross-sectional study investigates the online education intention of undergraduate students in the largest and oldest public university in Bangladesh during the COVID-19 pandemic. Under convenient sampling, 843 undergraduate students with rural and urban backgrounds participated in an online self-administered questionnaire. Partial least squares structural equation modelling (PLS-SEM) was employed to examine the hypothesized relationships. We found that students’ online class intention is significantly influenced by their attitude towards online classes (AOC), perceived usefulness (PU), and facilitating conditions (FC). We further identified that external antecedents have significant indirect effects on the outcome variables. Our findings provide new insights and contribute to a learners’ community on online classes during the COVID-19 pandemic. This study extends the technology acceptance model (TAM) and the theory of planned behavior (TPB) to depict the factors influencing undergraduate students’ intention to attend online classes (IOC) during the COVID-19 pandemic.
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| first_indexed | 2024-04-13T16:39:48Z |
| format | Article |
| id | doaj.art-39ac8fcddff0416489036c8a57429e14 |
| institution | Directory Open Access Journal |
| issn | 1492-3831 |
| language | English |
| last_indexed | 2024-04-13T16:39:48Z |
| publishDate | 2022-11-01 |
| publisher | Athabasca University Press |
| record_format | Article |
| series | International Review of Research in Open and Distributed Learning |
| spelling | doaj.art-39ac8fcddff0416489036c8a57429e142022-12-22T02:39:16ZengAthabasca University PressInternational Review of Research in Open and Distributed Learning1492-38312022-11-0123410.19173/irrodl.v23i4.6295Technology Enabling the New Normal: How Students Respond to ClassesMuhammad Shariat Ullah0Md. Shariful Alam Khandakar1Muhammad Abdul Aziz2Daisy Mui Hung Kee3Department of Organization Strategy & Leadership, Faculty of Business Studies, University of DhakaDepartment of Tourism and Hospitality Management, Faculty of Business Studies, University of DhakaDepartment of Organization Strategy & Leadership, Faculty of Business Studies, University of DhakaSchool of Management, Universiti Sains MalaysiaThis cross-sectional study investigates the online education intention of undergraduate students in the largest and oldest public university in Bangladesh during the COVID-19 pandemic. Under convenient sampling, 843 undergraduate students with rural and urban backgrounds participated in an online self-administered questionnaire. Partial least squares structural equation modelling (PLS-SEM) was employed to examine the hypothesized relationships. We found that students’ online class intention is significantly influenced by their attitude towards online classes (AOC), perceived usefulness (PU), and facilitating conditions (FC). We further identified that external antecedents have significant indirect effects on the outcome variables. Our findings provide new insights and contribute to a learners’ community on online classes during the COVID-19 pandemic. This study extends the technology acceptance model (TAM) and the theory of planned behavior (TPB) to depict the factors influencing undergraduate students’ intention to attend online classes (IOC) during the COVID-19 pandemic. https://www.irrodl.org/index.php/irrodl/article/view/6295COVID-19online class intentiontechnology acceptance modeltheory of planned behaviorBangladesh |
| spellingShingle | Muhammad Shariat Ullah Md. Shariful Alam Khandakar Muhammad Abdul Aziz Daisy Mui Hung Kee Technology Enabling the New Normal: How Students Respond to Classes International Review of Research in Open and Distributed Learning COVID-19 online class intention technology acceptance model theory of planned behavior Bangladesh |
| title | Technology Enabling the New Normal: How Students Respond to Classes |
| title_full | Technology Enabling the New Normal: How Students Respond to Classes |
| title_fullStr | Technology Enabling the New Normal: How Students Respond to Classes |
| title_full_unstemmed | Technology Enabling the New Normal: How Students Respond to Classes |
| title_short | Technology Enabling the New Normal: How Students Respond to Classes |
| title_sort | technology enabling the new normal how students respond to classes |
| topic | COVID-19 online class intention technology acceptance model theory of planned behavior Bangladesh |
| url | https://www.irrodl.org/index.php/irrodl/article/view/6295 |
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