Differential Pathways to Student Engagement in Mongolian Intangible Cultural Heritage Music Education: The Roles of Course Design, Learning Resources, and Personal Interest

Background: Higher education in multicultural settings must support the transmission of group-specific intangible cultural heritage (ICH) while making that heritage accessible to students from different cultural backgrounds. Culturally responsive pedagogy offers one response to this challenge, but evidence regarding whether its correlates operate similarly across ethnic groups remains limited. Purpose: This study examines the associations of perceived course design (CD), learning resources (LR), and personal interest (PI) with student engagement (SE) in Mongolian ICH music education. It also tests whether the corresponding structural paths differ between Mongolian and Non-Mongolian students. Method: A cross-sectional survey was administered to 120 university music students (68 Mongolian and 52 Non-Mongolian) at four universities in Inner Mongolia. The analysis combined exploratory factor analysis (EFA), confirmatory factor analysis (CFA), partial least squares structural equation modeling (PLS-SEM), and permutation-based multi-group analysis (MGA). Results: In the pooled sample, course design (beta = 0.298), learning resources (beta = 0.247), and personal interest (beta = 0.422) were each positively associated with engagement (all p < .001), with personal interest showing the largest coefficient. EFA and CFA supported the proposed four-factor structure (CFI = 0.96; RMSEA = 0.046). MGA identified a significant group difference only for the personal interest-to-engagement path (delta beta = 0.11, p = .024), which was stronger among Mongolian students. Although the course-design and learning-resource coefficients were descriptively larger among Non-Mongolian students, those group differences were not statistically significant. Conclusion: The findings support differentiated, but cautiously framed, pedagogical responses in multicultural ICH education. They provide direct evidence that personal interest is a comparatively stronger correlate of engagement among Mongolian students and descriptive, non-conclusive indications that course design and learning resources may be especially relevant for Non-Mongolian students. The proposed dual-track responsiveness model should therefore be treated as an evidence-informed framework for further testing rather than as a fully established causal model.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-26
DOI
https://doi.org/10.5281/zenodo.22109393
Primary Topic
Diverse Music Education Insights
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Differential Pathways to Student Engagement in Mongolian Intangible Cultural Heritage Music Education: The Roles of Course Design, Learning Resources, and Personal Interest

Siti Farhah Binti A Aziz2 Xu KeXin1
Zenodo (CERN European Organization for Nuclear Research)
Diverse Music Education Insights
article

Differential Pathways to Student Engagement in Mongolian Intangible Cultural Heritage Music Education: The Roles of Course Design, Learning Resources, and Personal Interest

Siti Farhah Binti A Aziz2 Xu KeXin1
article en

Abstract

Background: Higher education in multicultural settings must support the transmission of group-specific intangible cultural heritage (ICH) while making that heritage accessible to students from different cultural backgrounds. Culturally responsive pedagogy offers one response to this challenge, but evidence regarding whether its correlates operate similarly across ethnic groups remains limited. Purpose: This study examines the associations of perceived course design (CD), learning resources (LR), and personal interest (PI) with student engagement (SE) in Mongolian ICH music education. It also tests whether the corresponding structural paths differ between Mongolian and Non-Mongolian students. Method: A cross-sectional survey was administered to 120 university music students (68 Mongolian and 52 Non-Mongolian) at four universities in Inner Mongolia. The analysis combined exploratory factor analysis (EFA), confirmatory factor analysis (CFA), partial least squares structural equation modeling (PLS-SEM), and permutation-based multi-group analysis (MGA). Results: In the pooled sample, course design (beta = 0.298), learning resources (beta = 0.247), and personal interest (beta = 0.422) were each positively associated with engagement (all p < .001), with personal interest showing the largest coefficient. EFA and CFA supported the proposed four-factor structure (CFI = 0.96; RMSEA = 0.046). MGA identified a significant group difference only for the personal interest-to-engagement path (delta beta = 0.11, p = .024), which was stronger among Mongolian students. Although the course-design and learning-resource coefficients were descriptively larger among Non-Mongolian students, those group differences were not statistically significant. Conclusion: The findings support differentiated, but cautiously framed, pedagogical responses in multicultural ICH education. They provide direct evidence that personal interest is a comparatively stronger correlate of engagement among Mongolian students and descriptive, non-conclusive indications that course design and learning resources may be especially relevant for Non-Mongolian students. The proposed dual-track responsiveness model should therefore be treated as an evidence-informed framework for further testing rather than as a fully established causal model.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 2%
Diverse Music Education Insights
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.