The explanatory power of Carnegie Classification in predicting engagement indicators: a multilevel analysis

dc.authoridAYDIN, Burak/0000-0003-4462-1784
dc.contributor.authorGok, Enes
dc.contributor.authorAydin, Burak
dc.date.accessioned2024-08-31T07:47:34Z
dc.date.available2024-08-31T07:47:34Z
dc.date.issued2024
dc.departmentEge Üniversitesien_US
dc.description.abstractThe study aims to explore the effect of the type of higher education institution on students' engagement. The meta-analyses of multilevel regression coefficients revealed significant relationships between the type of higher education institution and student engagement indicators across the years from 2013 to 2019. Comparing different types of higher education institutions with the base category, our findings revealed significant differences in effective teaching practices, discussion with diverse others, and student-faculty interaction consistent throughout the years. These findings are expected to provide insights for institutional administrators, policymakers, and researchers given that student engagement in higher education has become an indicator of quality all around the world.en_US
dc.description.sponsorshipLeuphana Universitt Lneburg10.13039/100018341en_US
dc.description.sponsorshipNo Statement Availableen_US
dc.identifier.doi10.3389/feduc.2023.1305747
dc.identifier.issn2504-284X
dc.identifier.scopus2-s2.0-85182665796en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.3389/feduc.2023.1305747
dc.identifier.urihttps://hdl.handle.net/11454/104476
dc.identifier.volume8en_US
dc.identifier.wosWOS:001147777000001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherFrontiers Media Saen_US
dc.relation.ispartofFrontiers In Educationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240831_Uen_US
dc.subjectCarnegie Classificationen_US
dc.subjectStudent Engagementen_US
dc.subjectAssessmenten_US
dc.subjectMultilevel Analysisen_US
dc.subjectHigher Educationen_US
dc.titleThe explanatory power of Carnegie Classification in predicting engagement indicators: a multilevel analysisen_US
dc.typeArticleen_US

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