国际学生档案框架

IF 3.4 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Access Pub Date : 2023-10-11 DOI:10.1109/ACCESS.2023.3323416

Renugah Rengasamy;Suraya Binti Hamid;Abdullah Bin Gani

{"title":"国际学生档案框架","authors":"Renugah Rengasamy;Suraya Binti Hamid;Abdullah Bin Gani","doi":"10.1109/ACCESS.2023.3323416","DOIUrl":null,"url":null,"abstract":"The current conventional way of screening international students, solely based on prior admission and self-reported documents, is inadequate. Given the drastic increase in the number of incoming students, this inadequacy calls for better security surveillance. Therefore, this study investigates how personality traits can influence one’s online prosocial behavior, as an alternative screening mechanism for international students. To assess the association between Big Five and Dark Triad personality traits and online prosocial behavior via the mediation of self-esteem, cross-sectional survey data was collected from 218 international postgraduate students and analyzed using partial least squares structural equation modeling. The significant outcome of this study is the establishment of the International Student Profiling Framework, which serves as the basis for understanding the influence of personality traits and self-esteem on international students’ online prosocial behavior.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"11 ","pages":"114117-114127"},"PeriodicalIF":3.4000,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/6287639/10005208/10278432.pdf","citationCount":"0","resultStr":"{\"title\":\"International Student Profiling Framework\",\"authors\":\"Renugah Rengasamy;Suraya Binti Hamid;Abdullah Bin Gani\",\"doi\":\"10.1109/ACCESS.2023.3323416\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The current conventional way of screening international students, solely based on prior admission and self-reported documents, is inadequate. Given the drastic increase in the number of incoming students, this inadequacy calls for better security surveillance. Therefore, this study investigates how personality traits can influence one’s online prosocial behavior, as an alternative screening mechanism for international students. To assess the association between Big Five and Dark Triad personality traits and online prosocial behavior via the mediation of self-esteem, cross-sectional survey data was collected from 218 international postgraduate students and analyzed using partial least squares structural equation modeling. The significant outcome of this study is the establishment of the International Student Profiling Framework, which serves as the basis for understanding the influence of personality traits and self-esteem on international students’ online prosocial behavior.\",\"PeriodicalId\":13079,\"journal\":{\"name\":\"IEEE Access\",\"volume\":\"11 \",\"pages\":\"114117-114127\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2023-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/iel7/6287639/10005208/10278432.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Access\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10278432/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Access","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10278432/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 0

摘要

目前仅根据事先录取和自我报告的文件对国际学生进行筛选的传统方式是不够的。鉴于新生人数的急剧增加，这种不足要求加强安全监控。因此，本研究调查了人格特征如何影响一个人的网络亲社会行为，作为国际学生的另一种筛选机制。为了通过自尊中介来评估“五大”和“黑暗三合会”人格特征与网络亲社会行为之间的关系，从218名国际研究生中收集了横断面调查数据，并使用偏最小二乘结构方程模型进行了分析。本研究的重要成果是建立了国际学生概况框架，该框架为理解人格特征和自尊对国际学生网络亲社会行为的影响奠定了基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

International Student Profiling Framework

The current conventional way of screening international students, solely based on prior admission and self-reported documents, is inadequate. Given the drastic increase in the number of incoming students, this inadequacy calls for better security surveillance. Therefore, this study investigates how personality traits can influence one’s online prosocial behavior, as an alternative screening mechanism for international students. To assess the association between Big Five and Dark Triad personality traits and online prosocial behavior via the mediation of self-esteem, cross-sectional survey data was collected from 218 international postgraduate students and analyzed using partial least squares structural equation modeling. The significant outcome of this study is the establishment of the International Student Profiling Framework, which serves as the basis for understanding the influence of personality traits and self-esteem on international students’ online prosocial behavior.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IEEE Access COMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC

CiteScore

9.80

自引率

7.70%

发文量

6673

审稿时长

6 weeks

期刊介绍： IEEE Access® is a multidisciplinary, open access (OA), applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE''s fields of interest. IEEE Access will publish articles that are of high interest to readers, original, technically correct, and clearly presented. Supported by author publication charges (APC), its hallmarks are a rapid peer review and publication process with open access to all readers. Unlike IEEE''s traditional Transactions or Journals, reviews are "binary", in that reviewers will either Accept or Reject an article in the form it is submitted in order to achieve rapid turnaround. Especially encouraged are submissions on: Multidisciplinary topics, or applications-oriented articles and negative results that do not fit within the scope of IEEE''s traditional journals. Practical articles discussing new experiments or measurement techniques, interesting solutions to engineering. Development of new or improved fabrication or manufacturing techniques. Reviews or survey articles of new or evolving fields oriented to assist others in understanding the new area.