卡内基分类在预测参与指标方面的解释力:多层次分析

IF 1.9 Q2 EDUCATION & EDUCATIONAL RESEARCH Frontiers in Education Pub Date : 2024-01-08 DOI:10.3389/feduc.2023.1305747
Enes Gök, Burak Aydin
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引用次数: 0

摘要

本研究旨在探讨高等教育机构类型对学生参与度的影响。多层次回归系数的元分析表明,在2013年至2019年期间,高等教育机构类型与学生参与度指标之间存在显著关系。将不同类型的高等教育机构与基础类别进行比较,我们的研究结果表明,在有效教学实践、与不同他人的讨论以及师生互动等方面存在显著差异,且这些差异在各个年份都是一致的。鉴于学生在高等教育中的参与度已成为衡量全球高等教育质量的一项指标,这些发现有望为院校管理者、政策制定者和研究人员提供启示。
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The explanatory power of Carnegie Classification in predicting engagement indicators: a multilevel analysis
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.
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来源期刊
Frontiers in Education
Frontiers in Education Social Sciences-Education
CiteScore
2.90
自引率
8.70%
发文量
887
审稿时长
14 weeks
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