Exploring the role of generative AI in international students’ sociocultural adaptation: a cognitive-affective model

Against the backdrop of increasing global educational exchanges, the sociocultural adaptation of international students has attracted significant attention. The rise of Generative Artificial Intelligence has brought new perspectives to research in this field, yet existing studies have insufficiently explored the mechanisms through which GenAI influences the sociocultural adaptation of international students. Drawing on the cognitive-affective personality system theory and conservation of resources theory, this study employed a three-stage time-lagged questionnaire survey to collect 329 valid responses from international students at three universities in North, South, and East China. The research aims to investigate how GenAI use impacts students' sociocultural adaptation, while examining the mediating roles of positive reappraisal and perceived empathy, as well as the moderating effect of AI anthropomorphism. The findings reveal that GenAI use is significantly positively associated with international students' sociocultural adaptation. Positive reappraisal and users' subjective perceived empathy mediate the relationship between GenAI use and sociocultural adaptation. Additionally, the degree of AI anthropomorphism positively moderates the relationships between GenAI use and both positive reappraisal and perceived empathy, enhancing the indirect effects of these mediating variables on the relationship between GenAI use and sociocultural adaptation. This study enriches the technological premises of cross-cultural adaptation for international students and provides GenAI-based intervention strategies for their educational management.

Authors

Institutions

Publication Details

Journal
Frontiers in Artificial Intelligence
Published
2025-06-30
DOI
https://doi.org/10.3389/frai.2025.1615113
Citations
5
Primary Topic
International Student and Expatriate Challenges
Type
article
Field-Weighted Citation Impact
19.32

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the role of generative AI in international students’ sociocultural adaptation: a cognitive-affective model

Zimeng Chen, Huajun Ma, Xuanchang Liu, Zhiyuan Jin et al.
5 citations
Frontiers in Artificial Intelligence
International Student and Expatriate Challenges
19.32
article

Exploring the role of generative AI in international students’ sociocultural adaptation: a cognitive-affective model

Zimeng Chen, Huajun Ma, Xuanchang Liu, Zhiyuan Jin, Qingnan You
article en
5 citations

Abstract

Against the backdrop of increasing global educational exchanges, the sociocultural adaptation of international students has attracted significant attention. The rise of Generative Artificial Intelligence has brought new perspectives to research in this field, yet existing studies have insufficiently explored the mechanisms through which GenAI influences the sociocultural adaptation of international students. Drawing on the cognitive-affective personality system theory and conservation of resources theory, this study employed a three-stage time-lagged questionnaire survey to collect 329 valid responses from international students at three universities in North, South, and East China. The research aims to investigate how GenAI use impacts students' sociocultural adaptation, while examining the mediating roles of positive reappraisal and perceived empathy, as well as the moderating effect of AI anthropomorphism. The findings reveal that GenAI use is significantly positively associated with international students' sociocultural adaptation. Positive reappraisal and users' subjective perceived empathy mediate the relationship between GenAI use and sociocultural adaptation. Additionally, the degree of AI anthropomorphism positively moderates the relationships between GenAI use and both positive reappraisal and perceived empathy, enhancing the indirect effects of these mediating variables on the relationship between GenAI use and sociocultural adaptation. This study enriches the technological premises of cross-cultural adaptation for international students and provides GenAI-based intervention strategies for their educational management.

Frontiers in Artificial IntelligenceVol. 8
Ningbo University (CN), Zhongnan University of Economics and Law (CN), Shenzhen Polytechnic University (CN), Lanzhou University (CN)
Ningbo University
Openalex Percentile: Top 1%
International Student and Expatriate Challenges
19.32
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.