Exploration of Strategies for Improving the Efficiency of College English Vocabulary Learning Based on Path Analysis Algorithm

Based on structural equation modeling, this paper explores the compound influence mechanism of English learning self-efficacy, learning environment and interpersonal relationship on college students' English vocabulary learning effectiveness through path analysis.Stratified sampling method was used to collect 910 valid questionnaires from a university in S province, and research hypotheses were proposed.The correlations among multiple variables were exploratively analyzed through Pearson correlation analysis to construct structural equation modeling.The results showed that the standardized regression coefficients of self-efficacy, learning environment, and interpersonal relationship on the effect of English vocabulary learning were 0.813, 0.776, and 0.806.The selfefficacy dimension of self-efficacy had the highest factor loadings of self-efficacy for English vocabulary learning (0.889), and the learning environment dimension had a stronger factor loading of the school environment (0.838) in comparison to the family environment (0.706) and social environment ( 0.717) had stronger predictive power, and the path loadings of the interpersonal relationship dimension peer relationship (0.891) were significantly higher than teacher-student relationship (0.822) and parent-child relationship (0.786).The study verified the synergistic mechanism of self-efficacy, learning environment and interpersonal relationship, which provides the basis for multidimensional intervention strategies for college English vocabulary teaching.

Publication Details

Journal
International journal for housing science and its applications.
Published
2025-08-15
DOI
https://doi.org/10.70517/ijhsa463380
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploration of Strategies for Improving the Efficiency of College English Vocabulary Learning Based on Path Analysis Algorithm

International journal for housing science and its applications.
Educational Technology and Pedagogy
article

Exploration of Strategies for Improving the Efficiency of College English Vocabulary Learning Based on Path Analysis Algorithm

article en

Abstract

Based on structural equation modeling, this paper explores the compound influence mechanism of English learning self-efficacy, learning environment and interpersonal relationship on college students' English vocabulary learning effectiveness through path analysis.Stratified sampling method was used to collect 910 valid questionnaires from a university in S province, and research hypotheses were proposed.The correlations among multiple variables were exploratively analyzed through Pearson correlation analysis to construct structural equation modeling.The results showed that the standardized regression coefficients of self-efficacy, learning environment, and interpersonal relationship on the effect of English vocabulary learning were 0.813, 0.776, and 0.806.The selfefficacy dimension of self-efficacy had the highest factor loadings of self-efficacy for English vocabulary learning (0.889), and the learning environment dimension had a stronger factor loading of the school environment (0.838) in comparison to the family environment (0.706) and social environment ( 0.717) had stronger predictive power, and the path loadings of the interpersonal relationship dimension peer relationship (0.891) were significantly higher than teacher-student relationship (0.822) and parent-child relationship (0.786).The study verified the synergistic mechanism of self-efficacy, learning environment and interpersonal relationship, which provides the basis for multidimensional intervention strategies for college English vocabulary teaching.

International journal for housing science and its applications.Vol. 46(3)
Quality Education
Openalex Percentile: Top 89%
Educational Technology and Pedagogy
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.