International Student Profiling Framework Article Swipe
Renugah Rengasamy
,
Suraya Hamid
,
Abdullah Gani
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/access.2023.3323416
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/access.2023.3323416
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.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2023.3323416
- https://ieeexplore.ieee.org/ielx7/6287639/6514899/10278432.pdf
- OA Status
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- 1
- References
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4387546402Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2023.3323416Digital Object Identifier
- Title
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International Student Profiling FrameworkWork title
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articleOpenAlex work type
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enPrimary language
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2023Year of publication
- Publication date
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2023-01-01Full publication date if available
- Authors
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Renugah Rengasamy, Suraya Hamid, Abdullah GaniList of authors in order
- Landing page
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https://doi.org/10.1109/access.2023.3323416Publisher landing page
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/10278432.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/10278432.pdfDirect OA link when available
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Profiling (computer programming), Computer science, Programming languageTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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