Please use this identifier to cite or link to this item: https://doi.org/10.48548/pubdata-1446
Resource typeJournal Article
Title(s)The explanatory power of Carnegie Classification in predicting engagement indicators: a multilevel analysis
DOI10.48548/pubdata-1446
Handle20.500.14123/1515
CreatorGök, Enes  0000-0002-5427-1274
Aydin, Burak  0000-0003-4462-1784
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.
LanguageEnglish
KeywordsCarnegie Classification; Student Engagement; Assessment
Year of publication in PubData2024
Publishing typeParallel publication
Publication versionPublished version
Date issued2024-01-08
Creation contextResearch
NotesThis publication was funded by the Open Access Publication Fund of Leuphana University Lüneburg.
Published byMedien- und Informationszentrum, Leuphana Universität Lüneburg
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FieldValue
Resource typeJournal
Title of the resource typeFrontiers in Education
IdentifierDOI: 10.3389/feduc.2023.1305747
Publication year2024
Volume8
Number1305747
Number typeArticle
PublisherFrontiers
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