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Technology Enabling the New Normal: How Students Respond to Classes

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Title: Technology Enabling the New Normal: How Students Respond to Classes
Language: English
Authors: Ullah, Muhammad Shariat, Khandakar, Md. Shariful Alam, Aziz, Muhammad Abdul, Kee, Daisy Mui Hung
Source: International Review of Research in Open and Distributed Learning. Nov 2022 23(4):35-56.
Availability: Athabasca University Press. 1200, 10011-109 Street, Edmonton, AB T5J 3S8, Canada. Tel: 780-497-3412; Fax: 780-421-3298; e-mail: irrodl@athabascau.ca; Web site: http://www.irrodl.org
Peer Reviewed: Y
Page Count: 22
Publication Date: 2022
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Technology Uses in Education, Electronic Learning, Online Courses, Undergraduate Students, Intention, Foreign Countries, Student Attitudes, Usability, COVID-19, Pandemics
Geographic Terms: Bangladesh
ISSN: 1492-3831
Abstract: 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.
Abstractor: As Provided
Entry Date: 2023
Accession Number: EJ1373638
Database: ERIC
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  Data: Technology Enabling the New Normal: How Students Respond to Classes
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  Data: <searchLink fieldCode="AR" term="%22Ullah%2C+Muhammad+Shariat%22">Ullah, Muhammad Shariat</searchLink><br /><searchLink fieldCode="AR" term="%22Khandakar%2C+Md%2E+Shariful+Alam%22">Khandakar, Md. Shariful Alam</searchLink><br /><searchLink fieldCode="AR" term="%22Aziz%2C+Muhammad+Abdul%22">Aziz, Muhammad Abdul</searchLink><br /><searchLink fieldCode="AR" term="%22Kee%2C+Daisy+Mui+Hung%22">Kee, Daisy Mui Hung</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22International+Review+of+Research+in+Open+and+Distributed+Learning%22"><i>International Review of Research in Open and Distributed Learning</i></searchLink>. Nov 2022 23(4):35-56.
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  Data: Athabasca University Press. 1200, 10011-109 Street, Edmonton, AB T5J 3S8, Canada. Tel: 780-497-3412; Fax: 780-421-3298; e-mail: irrodl@athabascau.ca; Web site: http://www.irrodl.org
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  Data: <searchLink fieldCode="DE" term="%22Bangladesh%22">Bangladesh</searchLink>
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  Data: 1492-3831
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  Label: Abstract
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  Data: 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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      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 22
        StartPage: 35
    Subjects:
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Electronic Learning
        Type: general
      – SubjectFull: Online Courses
        Type: general
      – SubjectFull: Undergraduate Students
        Type: general
      – SubjectFull: Intention
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Student Attitudes
        Type: general
      – SubjectFull: Usability
        Type: general
      – SubjectFull: COVID-19
        Type: general
      – SubjectFull: Pandemics
        Type: general
      – SubjectFull: Bangladesh
        Type: general
    Titles:
      – TitleFull: Technology Enabling the New Normal: How Students Respond to Classes
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            NameFull: Khandakar, Md. Shariful Alam
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            NameFull: Aziz, Muhammad Abdul
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            NameFull: Kee, Daisy Mui Hung
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            – D: 01
              M: 11
              Type: published
              Y: 2022
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              Value: 1492-3831
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