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Assessing culturally inclusive instructional design in online learning.

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Title: Assessing culturally inclusive instructional design in online learning.
Authors: Gurjar, Nandita (AUTHOR), Bai, Haiyan (AUTHOR)
Source: Educational Technology Research & Development. Jun2023, Vol. 71 Issue 3, p1253-1274. 22p.
Subjects: Instructional systems design, Online education, Exploratory factor analysis, Confirmatory factor analysis, Psychometrics, Likert scale
Abstract: This study assessed the psychometric properties of the culturally inclusive instructional design (CIID) scale with 31 items on a 7-point Likert scale. The data were collected from the training (N = 55) and validating samples (N = 80) of K-20 educators. Data analysis employed exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). EFA results revealed a clear five-factor structure, and the CFA results indicated good factor loadings. The reliability indices were.95 and.94 for the training and validation samples, respectively. The significant correlations among the factors indicated the five subscales measuring on the same CIID construct. In contrast, a non-perfect correlation presented a discriminating power for each subscale measuring the unique dimension of the construct. The study results established the validity and reliability of the instrument to measure culturally inclusive instructional design with implications for the design and development of online learning for cultural inclusivity. [ABSTRACT FROM AUTHOR]
Copyright of Educational Technology Research & Development is the property of Springer Nature 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: Psychology and Behavioral Sciences Collection
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  Data: Assessing culturally inclusive instructional design in online learning.
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  Data: <searchLink fieldCode="JN" term="%22Educational+Technology+Research+%26+Development%22">Educational Technology Research & Development</searchLink>. Jun2023, Vol. 71 Issue 3, p1253-1274. 22p.
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  Data: <searchLink fieldCode="DE" term="%22Instructional+systems+design%22">Instructional systems design</searchLink><br /><searchLink fieldCode="DE" term="%22Online+education%22">Online education</searchLink><br /><searchLink fieldCode="DE" term="%22Exploratory+factor+analysis%22">Exploratory factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Confirmatory+factor+analysis%22">Confirmatory factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Likert+scale%22">Likert scale</searchLink>
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  Data: This study assessed the psychometric properties of the culturally inclusive instructional design (CIID) scale with 31 items on a 7-point Likert scale. The data were collected from the training (N = 55) and validating samples (N = 80) of K-20 educators. Data analysis employed exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). EFA results revealed a clear five-factor structure, and the CFA results indicated good factor loadings. The reliability indices were.95 and.94 for the training and validation samples, respectively. The significant correlations among the factors indicated the five subscales measuring on the same CIID construct. In contrast, a non-perfect correlation presented a discriminating power for each subscale measuring the unique dimension of the construct. The study results established the validity and reliability of the instrument to measure culturally inclusive instructional design with implications for the design and development of online learning for cultural inclusivity. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Educational Technology Research & Development is the property of Springer Nature 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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