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West Ashley Library
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Phone: (843) 766-6635
Folly Beach Library
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Phone: (843) 588-2001
Edgar Allan Poe/Sullivan's Island Library
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Phone: (843) 883-3914
Wando Mount Pleasant Library
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Phone: (843) 805-6888
Village Library
9 a.m. - 1 p.m.
Phone: (843) 884-9741
St. Paul's/Hollywood Library
9 a.m. - 8 p.m.
Phone: (843) 889-3300
Otranto Road Library
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Mt. Pleasant Library
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McClellanville Library
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Keith Summey North Charleston Library
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Hurd/St. Andrews Library
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Dorchester Road Library
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Multi-level analyses of distance education capacity, faculty members' adaptation, and indicators of student satisfaction in higher education during COVID-19 pandemic.
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- Author(s): Karadag, Engin1 ; Su, Ahmet2; Ergin-Kocaturk, Hatice3
- Source:
International Journal of Educational Technology in Higher Education. 10/12/2021, Vol. 18, p1-20. 20p. - Source:
- Additional Information
- Subject Terms:
- Subject Terms:
- Abstract: COVID-19 pandemic triggered distance education in higher education. Decisions such as isolation, social distancing and quarantine made by countries unexpectedly and suddenly forced face-to-face education to change to distance education within days. All academics around the world had to move online overnight. All the educational and academic activities in higher education (courses, exams, meetings, etc.) had to be conducted online in a few days. Based on these changes, this study aimed to analyze the relationships among student, faculty (adaptations of faculty members to distance education) and institutional (distance learning capacities of the universities) variables that affected satisfaction of the students related to distance education in higher education institutions in Turkey during COVID-19 pandemic using hierarchical linear modeling (HLM). The study group included 14,962 students and 3631 academics from 30 universities. The results showed that universities with higher distance education capacities got higher satisfaction scores. HLM analysis showed that 43% of the variation in satisfaction scores resulted from universities. The second HLM analysis showed that 44% of the overall satisfaction score variance of the students could be explained by the factors of university features (Level 2: distance education capacity and acceptance and use of distance education systems of faculty members). Thus, it was determined that 44% of the university factor calculated as 43% in Model 1 (which is calculated within students' general satisfaction scores) resulted from the distance education capacity and the acceptance and use of distance education systems of faculty members. The findings of this study provide insights to improve distance education by stakeholders of higher education institutions. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of International Journal of Educational Technology in Higher Education is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. 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.)
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