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Small worlds in a distant land: International newcomer students' local information behaviors in unfamiliar environments

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  • Chi Young Oh
  • Brian Butler

Abstract

International students face various challenges in their new countries, but research is less clear about their challenges in information behaviors. This article fills this gap by examining information behaviors of international newcomer students during adjustment to local environments, that is, local information behavior (LIB). Drawing on prior work, we focus on the local co‐national context—the degree to which there are co‐nationals available in one's local environments—to analyze the LIBs of 149 first‐year graduate students and 57 follow‐up interviewees, who were classified into: International‐common group (students from China, India, and Korea—with many local co‐nationals), International‐less‐common group (students from other countries—with fewer local co‐nationals), and Domestic‐out‐of‐state group (students from other U.S. states; control group). We identify differences in international newcomer students' use of information sources during adjustment and the role that local co‐national contexts play in these differences. These results suggest ways that information scholars and practitioners might account for the influences of local co‐national contexts when examining information behaviors of internationally mobile students and designing systems and services for newcomers from around the world.

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  • Chi Young Oh & Brian Butler, 2019. "Small worlds in a distant land: International newcomer students' local information behaviors in unfamiliar environments," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(10), pages 1060-1073, October.
  • Handle: RePEc:bla:jinfst:v:70:y:2019:i:10:p:1060-1073
    DOI: 10.1002/asi.24185
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    Cited by:

    1. Teng Guo & Xiaomei Bai & Shihao Zhen & Shagufta Abid & Feng Xia, 2023. "Lost at starting line: Predicting maladaptation of university freshmen based on educational big data," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 17-32, January.

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