Digital intelligence technology and curriculum ideology in sports colleges: the mediating roles of teaching effectiveness and student engagement

Introduction This study explores the role of digital intelligence technology (DIT) in indirectly enhancing curriculum ideological effectiveness in sports colleges through improvements in teaching effectiveness and student engagement. The research provides insights into how technology integration can influence ideological and political education outcomes. Methods A nationwide sample of 804 faculty and student respondents was analyzed using a chain mediation model grounded in the Technology Acceptance Model, Self-Determination Theory, and Educational Ecosystem Theory. Structural Equation Modeling (SEM) was applied to examine the relationships between DIT, teaching effectiveness, student engagement, and curriculum ideology outcomes. Results The findings reveal that DIT significantly enhances teaching effectiveness and student engagement, which sequentially contribute to improved curriculum ideology outcomes. Student engagement accounted for a greater proportion of variance compared to teaching effectiveness, emphasizing the critical role of interactive learning in ideological and political education. Discussion This study introduces a novel chain mediation pathway—DIT → Teaching Effectiveness → Student Engagement → Curriculum Ideology—highlighting the synergistic relationship between teaching quality and learner participation. The findings provide theoretical contributions to understanding technology integration in sports education and practical recommendations for professional development and interactive classroom practices to optimize the impact of DIT.

Authors

Institutions

Publication Details

Journal
Frontiers in Education
Published
2025-02-04
DOI
https://doi.org/10.3389/feduc.2024.1524338
Citations
2
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
3.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital intelligence technology and curriculum ideology in sports colleges: the mediating roles of teaching effectiveness and student engagement

Zhengxing Huang, Wenjun Wang, Ziqi Wang, Zixuan Jia et al.
2 citations
Frontiers in Education
Online Learning and Analytics
3.39
article

Digital intelligence technology and curriculum ideology in sports colleges: the mediating roles of teaching effectiveness and student engagement

Zhengxing Huang, Wenjun Wang, Ziqi Wang, Zixuan Jia, Xiangui Bu, Seung-Kweon Hong
article en
2 citations

Abstract

Introduction This study explores the role of digital intelligence technology (DIT) in indirectly enhancing curriculum ideological effectiveness in sports colleges through improvements in teaching effectiveness and student engagement. The research provides insights into how technology integration can influence ideological and political education outcomes. Methods A nationwide sample of 804 faculty and student respondents was analyzed using a chain mediation model grounded in the Technology Acceptance Model, Self-Determination Theory, and Educational Ecosystem Theory. Structural Equation Modeling (SEM) was applied to examine the relationships between DIT, teaching effectiveness, student engagement, and curriculum ideology outcomes. Results The findings reveal that DIT significantly enhances teaching effectiveness and student engagement, which sequentially contribute to improved curriculum ideology outcomes. Student engagement accounted for a greater proportion of variance compared to teaching effectiveness, emphasizing the critical role of interactive learning in ideological and political education. Discussion This study introduces a novel chain mediation pathway—DIT → Teaching Effectiveness → Student Engagement → Curriculum Ideology—highlighting the synergistic relationship between teaching quality and learner participation. The findings provide theoretical contributions to understanding technology integration in sports education and practical recommendations for professional development and interactive classroom practices to optimize the impact of DIT.

Frontiers in EducationVol. 9
Shandong Sport University (CN), Taishan Medical University (CN), Shandong First Medical University (CN)
Openalex Percentile: Top 8%
Online Learning and Analytics
3.39
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.