Modeling music student teachers’ behavioral intention of using artificial intelligence in China

The findings of this study provide insights into how individual, institutional, and policy-related factors jointly shape pre-service music teachers' intentions to adopt AI in education. This study then discussed implications for AI in music teacher training programs.

Authors

Institutions

Publication Details

Journal
Frontiers in Psychology
Published
2026-01-29
DOI
https://doi.org/10.3389/fpsyg.2026.1756135
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

Modeling music student teachers’ behavioral intention of using artificial intelligence in China

Yanlong Niu
Frontiers in Psychology
Diverse Music Education Insights
article

Modeling music student teachers’ behavioral intention of using artificial intelligence in China

Yanlong Niu
article en

Abstract

The findings of this study provide insights into how individual, institutional, and policy-related factors jointly shape pre-service music teachers' intentions to adopt AI in education. This study then discussed implications for AI in music teacher training programs.

Frontiers in PsychologyVol. 17
Zhengzhou University of Science and Technology (CN)
Quality Education
Openalex Percentile: Top 82%
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.

Modeling music student teachers’ behavioral intention of using artificial intelligence in China — Yanlong Niu · Frontiers in Psychology (2026) | TGRS Research Map | TGRS