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<p>Exploring the relationship between students’ study habits and foreign language performance is of great significance to the field of education, this paper investigates the correlation between students’ study habits and foreign language performance, and uses Bayesian networks to construct a labeled correlation model of study habits and their effects on foreign language performance. A multi-labeled Bayesian network model was built to assess the impact of different study habits on foreign language achievement by collecting and analyzing data on study habits and foreign language achievement of 110 college and university students. In this study, there was a significant positive correlation between the characteristics of learning behaviors in class (e.g., pre-study and review) and foreign language achievement, with correlation coefficients of 0.366 and 0.411, respectively, while the association between the characteristics of life behaviors (e.g., sleep and diet) and foreign language achievement was relatively weak. The study also showed a high positive correlation (0.283) between positive attitudes towards school and foreign language achievement. Through Bayesian network analysis, this paper further confirms the importance of good study habits in improving academic performance in foreign languages. By optimizing students’ study habits and extracurricular learning behaviors, the study can effectively enhance foreign language learning outcomes.</p>
</abstract>

Exploring the relationship between students’ study habits and foreign language performance is of great significance to the field of education, this paper investigates the correlation between students’ study habits and foreign language performance, and uses Bayesian networks to construct a labeled correlation model of study habits and their effects on foreign language performance. A multi-labeled Bayesian network model was built to assess the impact of different study habits on foreign language achievement by collecting and analyzing data on study habits and foreign language achievement of 110 college and university students. In this study, there was a significant positive correlation between the characteristics of learning behaviors in class (e.g., pre-study and review) and foreign language achievement, with correlation coefficients of 0.366 and 0.411, respectively, while the association between the characteristics of life behaviors (e.g., sleep and diet) and foreign language achievement was relatively weak. The study also showed a high positive correlation (0.283) between positive attitudes towards school and foreign language achievement. Through Bayesian network analysis, this paper further confirms the importance of good study habits in improving academic performance in foreign languages. By optimizing students’ study habits and extracurricular learning behaviors, the study can effectively enhance foreign language learning outcomes.

A Bayesian network-based study of the correlation between students’ study habits and foreign language performance

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploring the relationship between students’ study habits and foreign language performance is of great significance to the field of education, this paper...

A Bayesian network-based study of the correlation between students’ study habits and foreign language performance

Published Online: Apr 01, 2024

Page range: -

Received: Jan 31, 2024

Accepted: Feb 05, 2024

DOI: https://doi.org/10.2478/amns-2024-0786

Keywords
Bayesian networks, Study habits, Correlation, Out-of-class study behavior

© 2024 Huicheng Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

A Bayesian network-based study of the correlation between students’ study habits and foreign language performance

Published Online: Apr 01, 2024

Page range: -

Received: Jan 31, 2024

Accepted: Feb 05, 2024

DOI: https://doi.org/10.2478/amns-2024-0786

KeywordsBayesian networks, Study habits, Correlation, Out-of-class study behavior

© 2024 Huicheng Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Bayesian networks, Study habits, Correlation, Out-of-class study behavior