{"title":"Mapping global research on international students’ cross-cultural adaptation: A structural topic modelling review","authors":"Xing Xu , He Huang , Ly Tran","doi":"10.1016/j.ijintrel.2026.102371","DOIUrl":null,"url":null,"abstract":"<div><div>This study maps global research on international students’ cross-cultural adaptation through a structural topic modeling review. Based on textual analysis of 1122 abstracts, it advances prior reviews by tracing thematic patterns both across and within abstracts over seven decades, and empirically identifies ten nuanced topic areas alongside a shift toward more relational, critical, and contextual understanding of adaptation. These findings offer a foundation for more informed and inclusive research on international students’ adaptation, particularly as global mobility continues and is increasingly shaped by shifting political, sociocultural, and technological dynamics. Despite these insights, the dataset underrepresents recent AI-related work, and structural topic modeling cannot explain why themes evolve, indicating the need for updated data and complementary qualitative and contextual analyses to better understand technological, structural, and other emerging dimensions of adaptation.</div></div>","PeriodicalId":48216,"journal":{"name":"International Journal of Intercultural Relations","volume":"112 ","pages":"Article 102371"},"PeriodicalIF":2.7000,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Intercultural Relations","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S014717672600009X","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/30 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"PSYCHOLOGY, SOCIAL","Score":null,"Total":0}
引用次数: 0
Abstract
This study maps global research on international students’ cross-cultural adaptation through a structural topic modeling review. Based on textual analysis of 1122 abstracts, it advances prior reviews by tracing thematic patterns both across and within abstracts over seven decades, and empirically identifies ten nuanced topic areas alongside a shift toward more relational, critical, and contextual understanding of adaptation. These findings offer a foundation for more informed and inclusive research on international students’ adaptation, particularly as global mobility continues and is increasingly shaped by shifting political, sociocultural, and technological dynamics. Despite these insights, the dataset underrepresents recent AI-related work, and structural topic modeling cannot explain why themes evolve, indicating the need for updated data and complementary qualitative and contextual analyses to better understand technological, structural, and other emerging dimensions of adaptation.
期刊介绍:
IJIR is dedicated to advancing knowledge and understanding of theory, practice, and research in intergroup relations. The contents encompass theoretical developments, field-based evaluations of training techniques, empirical discussions of cultural similarities and differences, and critical descriptions of new training approaches. Papers selected for publication in IJIR are judged to increase our understanding of intergroup tensions and harmony. Issue-oriented and cross-discipline discussion is encouraged. The highest priority is given to manuscripts that join theory, practice, and field research design. By theory, we mean conceptual schemes focused on the nature of cultural differences and similarities.