Journal ArticleParallel publicationPublished version DOI: 10.48548/pubdata-1446

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

Chronological data

Date of first publication2024-01-08
Date of publication in PubData 2024-11-12

Language of the resource

English

Related external resources

Variant form of DOI: 10.3389/feduc.2023.1305747
Gök, E., Aydin, B. (2024). The explanatory power of Carnegie Classification in predicting engagement indicators: a multilevel analysis. Frontiers in Education, 8, Article 1305747.
Published in ISSN: 2504-284X
Frontiers in Education

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Abstract

The 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.

Keywords

Carnegie Classification; Student Engagement; Assessment

Faculty / department

Notes

This publication was funded by the Open Access Publication Fund of Leuphana University Lüneburg.

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Research