Validation of the Online Learning Readiness Self-Check survey.

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Title: Validation of the Online Learning Readiness Self-Check survey.
Authors: Cheon, Jongpil1 jongpil.cheon@ttu.edu, Cheng, Jiaming1, Cho, Moon-Heum2
Source: Distance Education. Nov 2021, Vol. 42 Issue 4, p599-619. 21p.
Subject Terms: *Distance education, *Learning readiness, *Exploratory factor analysis, Error-correcting codes, Data extraction
Abstract: This study reports the development and validation of the Online Learning Readiness Self-Check (OLRSC), a self-report survey designed to examine nontraditional students' readiness for online learning. A total of 505 prospective online learners with diverse background participated in the study. Data from 252 randomly selected participants were used to conduct the exploratory factor analysis, which extracted six factors of online learning readiness. Data from the remaining 253 participants were used for the confirmatory factor analysis, which supported the six-factor structure of the OLRSC with a reduction of 39 to 23 items. This instrument about online learning readiness can be used for prospective online learners to identify their strength and weakness. The diagnostic information can also be used to provide meaningful guides or aids to future nontraditional students. [ABSTRACT FROM AUTHOR]
Copyright of Distance Education is the property of Taylor & Francis Ltd 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: <searchLink fieldCode="AR" term="%22Cheon%2C+Jongpil%22">Cheon, Jongpil</searchLink><relatesTo>1</relatesTo><i> jongpil.cheon@ttu.edu</i><br /><searchLink fieldCode="AR" term="%22Cheng%2C+Jiaming%22">Cheng, Jiaming</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Cho%2C+Moon-Heum%22">Cho, Moon-Heum</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Distance+Education%22">Distance Education</searchLink>. Nov 2021, Vol. 42 Issue 4, p599-619. 21p.
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  Data: This study reports the development and validation of the Online Learning Readiness Self-Check (OLRSC), a self-report survey designed to examine nontraditional students' readiness for online learning. A total of 505 prospective online learners with diverse background participated in the study. Data from 252 randomly selected participants were used to conduct the exploratory factor analysis, which extracted six factors of online learning readiness. Data from the remaining 253 participants were used for the confirmatory factor analysis, which supported the six-factor structure of the OLRSC with a reduction of 39 to 23 items. This instrument about online learning readiness can be used for prospective online learners to identify their strength and weakness. The diagnostic information can also be used to provide meaningful guides or aids to future nontraditional students. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Distance Education is the property of Taylor & Francis Ltd 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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        Value: 10.1080/01587919.2021.1986370
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      – Code: eng
        Text: English
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        PageCount: 21
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    Subjects:
      – SubjectFull: Distance education
        Type: general
      – SubjectFull: Learning readiness
        Type: general
      – SubjectFull: Exploratory factor analysis
        Type: general
      – SubjectFull: Error-correcting codes
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      – SubjectFull: Data extraction
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      – TitleFull: Validation of the Online Learning Readiness Self-Check survey.
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              Text: Nov 2021
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              Y: 2021
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