CONTINUOUS INTENTION TO USE ONLINE LEARNING DURING COVID-19 PANDEMIC BASED ON THREE DIFEERENT THEORITICAL MODELS (TAM, SVT, TOE).

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Title: CONTINUOUS INTENTION TO USE ONLINE LEARNING DURING COVID-19 PANDEMIC BASED ON THREE DIFEERENT THEORITICAL MODELS (TAM, SVT, TOE).
Authors: MASADEH, Shaden1 samasadeh@iau.edu.sa, ABUMALLOH, Rabab2 ramolloh@iau.edu.sa, LABANI, Noha2 nlabani@asu.edu
Source: Turkish Online Journal of Distance Education (TOJDE). Apr2023, Vol. 24 Issue 2, p284-307. 24p.
Subject Terms: *COVID-19 pandemic, *Online education, Structural equation modeling, Technology Acceptance Model, Intention, Toes
Geographic Terms: Saudi Arabia
Abstract: The novel COVID-19 pandemic has impacted educational systems in almost all countries worldwide. Traditional classes have been canceled or shifted to online mode through the affected countries. Resuming traditional face-to-face instruction might be delayed. This unexpectedly fast and mandatory shifting to online education, along with the significant challenges that face learners and instructors, has led to uncertainty regarding its future. This study aims to inspect students' continuous intention (CI) towards online education during COVID-19, by incorporating different constructs from three theoretical models: first, conservation values(Security(SEC), Conformity(CON)) of Schwartz Value Theory(SVT), organizational support factors (Training(TR), Top management support(TS)) in Technology-Organizational-Environmental (TOE), and the Technology acceptance model(TAM) main factors (perceived usefulness(PU), perceived ease of use(PEU)). To achieve the research goal, a research model was developed referring to previous strong literature. The data was gathered from 310 students from Imam Abdulrahman Bin Faisal university (IAU) in Saudi Arabia, and analyzed with Structural Equation Modelling SEM-PLS. Findings show that TAM factors (PU, PEU), conservation values factors (SEC, CON), and organizational support factors (TR, TS) are important determinants for online learning adoption during COVID19 pandemic. The study provides directions for designers and developers to establish a more effective online learning environment, which is more suited for the new digitized generation during unexpected conditions. [ABSTRACT FROM AUTHOR]
Copyright of Turkish Online Journal of Distance Education (TOJDE) is the property of Turkish Online Journal of Distance Education 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.)
Database: Education Research Complete
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  Data: CONTINUOUS INTENTION TO USE ONLINE LEARNING DURING COVID-19 PANDEMIC BASED ON THREE DIFEERENT THEORITICAL MODELS (TAM, SVT, TOE).
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  Data: <searchLink fieldCode="AR" term="%22MASADEH%2C+Shaden%22">MASADEH, Shaden</searchLink><relatesTo>1</relatesTo><i> samasadeh@iau.edu.sa</i><br /><searchLink fieldCode="AR" term="%22ABUMALLOH%2C+Rabab%22">ABUMALLOH, Rabab</searchLink><relatesTo>2</relatesTo><i> ramolloh@iau.edu.sa</i><br /><searchLink fieldCode="AR" term="%22LABANI%2C+Noha%22">LABANI, Noha</searchLink><relatesTo>2</relatesTo><i> nlabani@asu.edu</i>
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  Data: *<searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br />*<searchLink fieldCode="DE" term="%22Online+education%22">Online education</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Acceptance+Model%22">Technology Acceptance Model</searchLink><br /><searchLink fieldCode="DE" term="%22Intention%22">Intention</searchLink><br /><searchLink fieldCode="DE" term="%22Toes%22">Toes</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Saudi+Arabia%22">Saudi Arabia</searchLink>
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  Data: The novel COVID-19 pandemic has impacted educational systems in almost all countries worldwide. Traditional classes have been canceled or shifted to online mode through the affected countries. Resuming traditional face-to-face instruction might be delayed. This unexpectedly fast and mandatory shifting to online education, along with the significant challenges that face learners and instructors, has led to uncertainty regarding its future. This study aims to inspect students' continuous intention (CI) towards online education during COVID-19, by incorporating different constructs from three theoretical models: first, conservation values(Security(SEC), Conformity(CON)) of Schwartz Value Theory(SVT), organizational support factors (Training(TR), Top management support(TS)) in Technology-Organizational-Environmental (TOE), and the Technology acceptance model(TAM) main factors (perceived usefulness(PU), perceived ease of use(PEU)). To achieve the research goal, a research model was developed referring to previous strong literature. The data was gathered from 310 students from Imam Abdulrahman Bin Faisal university (IAU) in Saudi Arabia, and analyzed with Structural Equation Modelling SEM-PLS. Findings show that TAM factors (PU, PEU), conservation values factors (SEC, CON), and organizational support factors (TR, TS) are important determinants for online learning adoption during COVID19 pandemic. The study provides directions for designers and developers to establish a more effective online learning environment, which is more suited for the new digitized generation during unexpected conditions. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Turkish Online Journal of Distance Education (TOJDE) is the property of Turkish Online Journal of Distance Education 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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      – Type: doi
        Value: 10.17718/tojde.1080016
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      – Code: eng
        Text: English
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      – SubjectFull: COVID-19 pandemic
        Type: general
      – SubjectFull: Online education
        Type: general
      – SubjectFull: Structural equation modeling
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      – SubjectFull: Technology Acceptance Model
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      – SubjectFull: Intention
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      – SubjectFull: Toes
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      – SubjectFull: Saudi Arabia
        Type: general
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      – TitleFull: CONTINUOUS INTENTION TO USE ONLINE LEARNING DURING COVID-19 PANDEMIC BASED ON THREE DIFEERENT THEORITICAL MODELS (TAM, SVT, TOE).
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            NameFull: MASADEH, Shaden
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            – D: 01
              M: 04
              Text: Apr2023
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              Y: 2023
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