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Hot-fit Model on E-Learning Success: Innovation and Quality Consciousness.

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Title: Hot-fit Model on E-Learning Success: Innovation and Quality Consciousness.
Authors: Sofwan, Muhammad1, Habibi, Akhmad1,2,3, Pratama, Robin1, Fauzee, Mohd Sofian Omar4, Abdullah, Hamdy3
Source: Online Learning. Mar2026, Vol. 30 Issue 1, p175-198. 24p.
Subject Terms: *Educational quality, *Digital learning, *Elementary school teaching, *Blended learning, Innovation adoption, Structural equation modeling
Abstract: The current research elaborates on the effect of the human organization technology fit model, which consists of human, organizational, and technological dimensions, on e-learning readiness in an elementary school teacher education program. The main dataset, comprising 416 student teachers, was analyzed using partial least squares structural equation modelling procedures. The study tested hypotheses linking various factors to e-learning readiness and usage. Statistically significant results demonstrated that knowledge (p = .008), relative advantage (p < .05), compatibility (p < .05), complexity (p <.001), quality (p <.05), and innovation awareness (p < .05) significantly affect e-learning readiness and actual use of elearning. Specifically, knowledge, relative advantage, compatibility, quality, and innovation awareness exhibit positive impacts, whereas complexity exerts a negative influence. Conversely, the findings indicated no significant relationships (p > .05) between certain correlations, such as computer self-efficacy and e-learning readiness, innovation and actual use of e-learning, and quality and actual use of e-learning. The findings contribute to the development of e-learning, providing practical and theoretical recommendations for its improvement regarding sustainable development goal 4, quality education. [ABSTRACT FROM AUTHOR]
Copyright of Online Learning is the property of Online Learning Consortium 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: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Online+Learning%22&quot;&gt;Online Learning&lt;/searchLink&gt;. Mar2026, Vol. 30 Issue 1, p175-198. 24p.
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  Data: The current research elaborates on the effect of the human organization technology fit model, which consists of human, organizational, and technological dimensions, on e-learning readiness in an elementary school teacher education program. The main dataset, comprising 416 student teachers, was analyzed using partial least squares structural equation modelling procedures. The study tested hypotheses linking various factors to e-learning readiness and usage. Statistically significant results demonstrated that knowledge (p = .008), relative advantage (p &lt; .05), compatibility (p &lt; .05), complexity (p &lt;.001), quality (p &lt;.05), and innovation awareness (p &lt; .05) significantly affect e-learning readiness and actual use of elearning. Specifically, knowledge, relative advantage, compatibility, quality, and innovation awareness exhibit positive impacts, whereas complexity exerts a negative influence. Conversely, the findings indicated no significant relationships (p &gt; .05) between certain correlations, such as computer self-efficacy and e-learning readiness, innovation and actual use of e-learning, and quality and actual use of e-learning. The findings contribute to the development of e-learning, providing practical and theoretical recommendations for its improvement regarding sustainable development goal 4, quality education. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Online Learning is the property of Online Learning Consortium and its content may not be copied or emailed to multiple sites without the copyright holder&#39;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.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Value: 10.24059/olj.v30i1.4861
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 175
    Subjects:
      – SubjectFull: Educational quality
        Type: general
      – SubjectFull: Digital learning
        Type: general
      – SubjectFull: Elementary school teaching
        Type: general
      – SubjectFull: Blended learning
        Type: general
      – SubjectFull: Innovation adoption
        Type: general
      – SubjectFull: Structural equation modeling
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      – TitleFull: Hot-fit Model on E-Learning Success: Innovation and Quality Consciousness.
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            NameFull: Sofwan, Muhammad
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              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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