Investigating the Interplay of Chinese English as Foreign Language Learners' Growth Mindset, Enjoyment, Adaptability, and Engagement in <scp>AI</scp> ‐Mediated Informal Digital Learning of English

ABSTRACT Background The rise of artificial intelligence (AI) has reshaped English as Foreign Language (EFL) instruction, offering new opportunities for language learning. While much of the existing research focuses on AI integration in classroom settings, limited research has explored EFL learners' autonomous engagement with AI beyond the classroom. Objectives This study aims to address this gap by examining the relationships between EFL students' engagement in AI‐mediated informal digital learning of English (AI‐IDLE), growth mindset, foreign language enjoyment (FLE), and adaptability, while also exploring the factors that influence long‐term AI‐IDLE engagement. Methods Employing an explanatory sequential mixed‐methods design, this study surveyed 357 Chinese EFL students and conducted 20 post‐survey interviews. Quantitative data were analysed using structural equation modelling with SPSS 26.0 and AMOS 26.0, while qualitative data were analysed thematically with MAXQDA 24. Results and Conclusions Quantitative results indicated that growth mindset has a significant direct effect on AI‐IDLE engagement, with adaptability serving as a robust mediator. However, FLE did not significantly mediate the relationship. Qualitative results highlighted the complex nature of long‐term AI‐IDLE engagement, shaped by both external factors and individual student characteristics.

Authors

Institutions

Publication Details

Journal
Journal of Computer Assisted Learning
Published
2026-01-20
DOI
https://doi.org/10.1002/jcal.70189
Citations
10
Primary Topic
Grit, Self-Efficacy, and Motivation
Type
article
Field-Weighted Citation Impact
605.79
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating the Interplay of Chinese English as Foreign Language Learners' Growth Mindset, Enjoyment, Adaptability, and Engagement in AI ‐Mediated Informal Digital Learning of English

Y. P. Guo, Ying Wang
10 citations
Journal of Computer Assisted Learning
Grit, Self-Efficacy, and Motivation
605.79
article

Investigating the Interplay of Chinese English as Foreign Language Learners' Growth Mindset, Enjoyment, Adaptability, and Engagement in AI ‐Mediated Informal Digital Learning of English

Y. P. Guo, Ying Wang
article en
10 citations

Abstract

ABSTRACT Background The rise of artificial intelligence (AI) has reshaped English as Foreign Language (EFL) instruction, offering new opportunities for language learning. While much of the existing research focuses on AI integration in classroom settings, limited research has explored EFL learners' autonomous engagement with AI beyond the classroom. Objectives This study aims to address this gap by examining the relationships between EFL students' engagement in AI‐mediated informal digital learning of English (AI‐IDLE), growth mindset, foreign language enjoyment (FLE), and adaptability, while also exploring the factors that influence long‐term AI‐IDLE engagement. Methods Employing an explanatory sequential mixed‐methods design, this study surveyed 357 Chinese EFL students and conducted 20 post‐survey interviews. Quantitative data were analysed using structural equation modelling with SPSS 26.0 and AMOS 26.0, while qualitative data were analysed thematically with MAXQDA 24. Results and Conclusions Quantitative results indicated that growth mindset has a significant direct effect on AI‐IDLE engagement, with adaptability serving as a robust mediator. However, FLE did not significantly mediate the relationship. Qualitative results highlighted the complex nature of long‐term AI‐IDLE engagement, shaped by both external factors and individual student characteristics.

Journal of Computer Assisted LearningVol. 42(1)
Nanjing Normal University (CN), North China University of Water Resources and Electric Power (CN)
Quality Education
Openalex Percentile: Top 0%
Grit, Self-Efficacy, and Motivation
605.79
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.