Measuring Online Student Engagement in Higher Education: Scale Development, Validation, and Psychometric Properties

dc.contributor.advisorGe, Xun
dc.contributor.authorTurk, Murat
dc.contributor.committeeMemberBradshaw, Amy C
dc.contributor.committeeMemberHeddy, Benjamin C
dc.contributor.committeeMemberLim, Doo Hun
dc.contributor.committeeMemberCrowson, H. Michael
dc.date.accessioned2022-05-06T20:54:58Z
dc.date.available2022-05-06T20:54:58Z
dc.date.issued2022
dc.date.manuscript2022-05-05
dc.description.abstractStudent engagement in online learning environments is of particular importance to successful learning experiences due to the unique features of online learning environments (e.g., physical distance, sense of isolation from peers and instructors). Reliable and valid assessment of student engagement is vitally important for making evidence-based decisions for online learning environments. Addressing this need and the limitations of the existing measures, this study presents a tool to assess student engagement in online learning environments, the Online Engagement in Higher Education (OEHE), which has been validated through a series of confirmatory factor analyses, as well as additional validity analyses, and internal consistency reliability analysis. Using data from 235 undergraduate and graduate students, who took at least one online course during the time of data collection in Fall 2021, a hypothesized three-factor model of online student engagement based on Fredricks et al.’s (2004) engagement framework focusing on three core dimensions of behavioral, emotional, and cognitive engagement was adequately confirmed in the context of CFA. The OEHE was also shown to have reasonable evidence of convergent validity and criterion validity, and strong evidence of discriminant validity through Pearson correlations. The OEHE subscales and the final validated instrument with 20 items also were found to have adequate or very high internal consistency reliability. Implications for the OEHE instrument development and validation and recommendations for future studies are discussed to provide insights for online engagement researchers, practitioners, and other stakeholders in online education.en_US
dc.identifier.urihttps://hdl.handle.net/11244/335591
dc.languageen_USen_US
dc.subjectonline student engagementen_US
dc.subjectinstrument developmenten_US
dc.subjectonline learningen_US
dc.thesis.degreePh.D.en_US
dc.titleMeasuring Online Student Engagement in Higher Education: Scale Development, Validation, and Psychometric Propertiesen_US
ou.groupJeannine Rainbolt College of Education::Department of Educational Psychologyen_US
shareok.orcidhttps://orcid.org/0000-0002-5105-2578en_US

Files

Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
2022_Turk_Murat_Dissertation.pdf
Size:
1.71 MB
Format:
Adobe Portable Document Format
Description:
No Thumbnail Available
Name:
2022_Turk_Murat_Dissertation.docx
Size:
1.26 MB
Format:
Microsoft Word XML
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: