A Longitudinal Examination of the Effects of Computer Self-Efficacy Growth on Performance during Technology Training
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| Title: | A Longitudinal Examination of the Effects of Computer Self-Efficacy Growth on Performance during Technology Training |
|---|---|
| Language: | English |
| Authors: | Downey, James P., Kher, Hemant V. |
| Source: | Journal of Information Technology Education: Research. 2015 14:91-111. |
| Availability: | Informing Science Institute. 131 Brookhill Court, Santa Rosa, CA 95409. Tel: 707-531-4925; Fax: 480-247-5724; e-mail: contactus@informingscience.org; Web site: http://www.informingscience.org/Journals/JITEResearch/Overview |
| Peer Reviewed: | Y |
| Page Count: | 21 |
| Publication Date: | 2015 |
| Document Type: | Journal Articles Reports - Research Tests/Questionnaires |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Longitudinal Studies, Computer Literacy, Self Efficacy, Technology Education, Computer Attitudes, Anxiety, Computer Science Education, Models, Statistical Analysis, Gender Differences, Learning Processes, Attitude Change, Introductory Courses, Undergraduate Students, Rating Scales |
| Assessment and Survey Identifiers: | Computer Anxiety Scale |
| ISSN: | 1547-9714 |
| Abstract: | Technology training in the classroom is critical in preparing students for upper level classes as well as professional careers, especially in fields such as technology. One of the key enablers to this process is computer self-efficacy (CSE), which has an extensive stream of empirical research. Despite this, one of the missing pieces is how CSE actually changes during training, and how such change is related to antecedents and performance outcomes. Measuring change requires repeated data gathering and the use of latent growth modeling, a relatively new statistical technique. This study examines CSE (specifically general CSE or GCSE) growth over time during training, and how this growth is influenced by anxiety and gender and influences performance, using a semester-long lab course covering three applications. The use of GCSE growth more accurately models how students actually learn in a technology classroom. It provides novel clarity in the interaction of gender, anxiety, GCSE, specific CSEs, and performance during training. The study finds that the relationship between anxiety and self-efficacy decreases over time during training, becoming non-significant; it clarifies the significant role gender plays in influencing GCSE at the start of and during training. It finds GCSE influences application performance only through specific CSEs. |
| Abstractor: | As Provided |
| Number of References: | 55 |
| Entry Date: | 2015 |
| Access URL: | https://www.jite.org/documents/Vol14/JITEV14ResearchP091-111Downey0828.pdf |
| Accession Number: | EJ1060148 |
| Database: | ERIC |
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Tel: 707-531-4925; Fax: 480-247-5724; e-mail: contactus@informingscience.org; Web site: http://www.informingscience.org/Journals/JITEResearch/Overview – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 21 – Name: DatePubCY Label: Publication Date Group: Date Data: 2015 – 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="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Longitudinal+Studies%22">Longitudinal Studies</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Literacy%22">Computer Literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Self+Efficacy%22">Self Efficacy</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Education%22">Technology Education</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Attitudes%22">Computer Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Anxiety%22">Anxiety</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Science+Education%22">Computer Science Education</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Analysis%22">Statistical Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Gender+Differences%22">Gender Differences</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Processes%22">Learning Processes</searchLink><br /><searchLink fieldCode="DE" term="%22Attitude+Change%22">Attitude Change</searchLink><br /><searchLink fieldCode="DE" term="%22Introductory+Courses%22">Introductory Courses</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduate+Students%22">Undergraduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Rating+Scales%22">Rating Scales</searchLink> – Name: SubjectThesaurus Label: Assessment and Survey Identifiers Group: Su Data: <searchLink fieldCode="SU" term="%22Computer+Anxiety+Scale%22">Computer Anxiety Scale</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 1547-9714 – Name: Abstract Label: Abstract Group: Ab Data: Technology training in the classroom is critical in preparing students for upper level classes as well as professional careers, especially in fields such as technology. One of the key enablers to this process is computer self-efficacy (CSE), which has an extensive stream of empirical research. Despite this, one of the missing pieces is how CSE actually changes during training, and how such change is related to antecedents and performance outcomes. Measuring change requires repeated data gathering and the use of latent growth modeling, a relatively new statistical technique. This study examines CSE (specifically general CSE or GCSE) growth over time during training, and how this growth is influenced by anxiety and gender and influences performance, using a semester-long lab course covering three applications. The use of GCSE growth more accurately models how students actually learn in a technology classroom. It provides novel clarity in the interaction of gender, anxiety, GCSE, specific CSEs, and performance during training. The study finds that the relationship between anxiety and self-efficacy decreases over time during training, becoming non-significant; it clarifies the significant role gender plays in influencing GCSE at the start of and during training. It finds GCSE influences application performance only through specific CSEs. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: Ref Label: Number of References Group: RefInfo Data: 55 – Name: DateEntry Label: Entry Date Group: Date Data: 2015 – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://www.jite.org/documents/Vol14/JITEV14ResearchP091-111Downey0828.pdf" linkWindow="_blank">http://www.jite.org/documents/Vol14/JITEV14ResearchP091-111Downey0828.pdf</link> – Name: AN Label: Accession Number Group: ID Data: EJ1060148 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 91 Subjects: – SubjectFull: Longitudinal Studies Type: general – SubjectFull: Computer Literacy Type: general – SubjectFull: Self Efficacy Type: general – SubjectFull: Technology Education Type: general – SubjectFull: Computer Attitudes Type: general – SubjectFull: Anxiety Type: general – SubjectFull: Computer Science Education Type: general – SubjectFull: Models Type: general – SubjectFull: Statistical Analysis Type: general – SubjectFull: Gender Differences Type: general – SubjectFull: Learning Processes Type: general – SubjectFull: Attitude Change Type: general – SubjectFull: Introductory Courses Type: general – SubjectFull: Undergraduate Students Type: general – SubjectFull: Rating Scales Type: general – SubjectFull: Computer Anxiety Scale Type: general Titles: – TitleFull: A Longitudinal Examination of the Effects of Computer Self-Efficacy Growth on Performance during Technology Training Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Downey, James P. – PersonEntity: Name: NameFull: Kher, Hemant V. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 1547-9714 Numbering: – Type: volume Value: 14 Titles: – TitleFull: Journal of Information Technology Education: Research Type: main |
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