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 |
|---|---|
| Language: | English |
| Authors: | Muhammad Sofwan, Akhmad Habibi, Robin Pratama, Mohd Sofian Omar Fauzee, Hamdy Abdullah |
| Source: | Online Learning. 2026 30(1):175-198. |
| Availability: | Online Learning Consortium, Inc. P.O. Box 1238, Newburyport, MA 01950. Tel: 888-898-6209; Fax: 888-898-6209; e-mail: olj@onlinelearning-c.org; Web site: https://olj.onlinelearningconsortium.org/index.php/olj/index |
| Peer Reviewed: | Y |
| Page Count: | 24 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Research Tests/Questionnaires |
| Education Level: | Elementary Education |
| Descriptors: | Electronic Learning, Learning Readiness, Elementary School Teachers, Teacher Education Programs, Computer Uses in Education, Self Efficacy, Innovation, Educational Quality, Teacher Attitudes, Knowledge Level, Information Systems, Models, Computer Literacy |
| ISSN: | 2472-5749 2472-5730 |
| 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 = 0.008), relative advantage (p < 0.05), compatibility (p < 0.05), complexity (p < 0.001), quality (p < 0.05), and innovation awareness (p < 0.05) significantly affect e-learning readiness and actual use of e-learning. 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 > 0.05) 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. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1508217 |
| Database: | ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: Hot-Fit Model on E-Learning Success: Innovation and Quality Consciousness – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Muhammad+Sofwan%22">Muhammad Sofwan</searchLink><br /><searchLink fieldCode="AR" term="%22Akhmad+Habibi%22">Akhmad Habibi</searchLink><br /><searchLink fieldCode="AR" term="%22Robin+Pratama%22">Robin Pratama</searchLink><br /><searchLink fieldCode="AR" term="%22Mohd+Sofian+Omar+Fauzee%22">Mohd Sofian Omar Fauzee</searchLink><br /><searchLink fieldCode="AR" term="%22Hamdy+Abdullah%22">Hamdy Abdullah</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Online+Learning%22"><i>Online Learning</i></searchLink>. 2026 30(1):175-198. – Name: Avail Label: Availability Group: Avail Data: Online Learning Consortium, Inc. P.O. Box 1238, Newburyport, MA 01950. Tel: 888-898-6209; Fax: 888-898-6209; e-mail: olj@onlinelearning-c.org; Web site: https://olj.onlinelearningconsortium.org/index.php/olj/index – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 24 – Name: DatePubCY Label: Publication Date Group: Date Data: 2026 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research<br />Tests/Questionnaires – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Elementary+Education%22">Elementary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Electronic+Learning%22">Electronic Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Readiness%22">Learning Readiness</searchLink><br /><searchLink fieldCode="DE" term="%22Elementary+School+Teachers%22">Elementary School Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Education+Programs%22">Teacher Education Programs</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Uses+in+Education%22">Computer Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Self+Efficacy%22">Self Efficacy</searchLink><br /><searchLink fieldCode="DE" term="%22Innovation%22">Innovation</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Quality%22">Educational Quality</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Attitudes%22">Teacher Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+Level%22">Knowledge Level</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Systems%22">Information Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Literacy%22">Computer Literacy</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 2472-5749<br />2472-5730 – Name: Abstract Label: Abstract Group: Ab 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 = 0.008), relative advantage (p < 0.05), compatibility (p < 0.05), complexity (p < 0.001), quality (p < 0.05), and innovation awareness (p < 0.05) significantly affect e-learning readiness and actual use of e-learning. 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 > 0.05) 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. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2026 – Name: AN Label: Accession Number Group: ID Data: EJ1508217 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 175 Subjects: – SubjectFull: Electronic Learning Type: general – SubjectFull: Learning Readiness Type: general – SubjectFull: Elementary School Teachers Type: general – SubjectFull: Teacher Education Programs Type: general – SubjectFull: Computer Uses in Education Type: general – SubjectFull: Self Efficacy Type: general – SubjectFull: Innovation Type: general – SubjectFull: Educational Quality Type: general – SubjectFull: Teacher Attitudes Type: general – SubjectFull: Knowledge Level Type: general – SubjectFull: Information Systems Type: general – SubjectFull: Models Type: general – SubjectFull: Computer Literacy Type: general Titles: – TitleFull: Hot-Fit Model on E-Learning Success: Innovation and Quality Consciousness Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Muhammad Sofwan – PersonEntity: Name: NameFull: Akhmad Habibi – PersonEntity: Name: NameFull: Robin Pratama – PersonEntity: Name: NameFull: Mohd Sofian Omar Fauzee – PersonEntity: Name: NameFull: Hamdy Abdullah IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 2472-5749 – Type: issn-electronic Value: 2472-5730 Numbering: – Type: volume Value: 30 – Type: issue Value: 1 Titles: – TitleFull: Online Learning Type: main |
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