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

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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The explanatory power of Carnegie Classification in predicting engagement indicators: a multilevel analysis. / Gök, Enes; Aydin, Burak.
in: Frontiers in Education, Jahrgang 8, 1305747, 08.01.2024.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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Bibtex

@article{fcbf2de0aad64c4284862cb107167fcd,
title = "The explanatory power of Carnegie Classification in predicting engagement indicators: a multilevel analysis",
abstract = "The study aims to explore the effect of the type of higher education institution on students{\textquoteright} 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 = "assessment, Carnegie Classification, higher education, multilevel analysis, student engagement, Educational science",
author = "Enes G{\"o}k and Burak Aydin",
note = "Funding Information: The authors declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by the Scientific and Technological Research Council of T{\"u}rkiye (Project ID: 1059B192000009). This publication was funded by the Open Access Publication Fund of the Leuphana University L{\"u}neburg. Publisher Copyright: Copyright {\textcopyright} 2024 G{\"o}k and Aydin.",
year = "2024",
month = jan,
day = "8",
doi = "10.3389/feduc.2023.1305747",
language = "English",
volume = "8",
journal = "Frontiers in Education",
issn = "2504-284X",
publisher = "Frontiers Media",

}

RIS

TY - JOUR

T1 - The explanatory power of Carnegie Classification in predicting engagement indicators

T2 - a multilevel analysis

AU - Gök, Enes

AU - Aydin, Burak

N1 - Funding Information: The authors declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by the Scientific and Technological Research Council of Türkiye (Project ID: 1059B192000009). This publication was funded by the Open Access Publication Fund of the Leuphana University Lüneburg. Publisher Copyright: Copyright © 2024 Gök and Aydin.

PY - 2024/1/8

Y1 - 2024/1/8

N2 - 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.

AB - 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.

KW - assessment

KW - Carnegie Classification

KW - higher education

KW - multilevel analysis

KW - student engagement

KW - Educational science

UR - http://www.scopus.com/inward/record.url?scp=85182665796&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/8111e9b6-7208-315f-b582-7f6e5ec54727/

U2 - 10.3389/feduc.2023.1305747

DO - 10.3389/feduc.2023.1305747

M3 - Journal articles

AN - SCOPUS:85182665796

VL - 8

JO - Frontiers in Education

JF - Frontiers in Education

SN - 2504-284X

M1 - 1305747

ER -

DOI

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