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Alexander Nagurney

Researcher at University of Hawaii at Hilo

Publications -  7
Citations -  154

Alexander Nagurney is an academic researcher from University of Hawaii at Hilo. The author has contributed to research in topics: Competence (human resources) & Agency (sociology). The author has an hindex of 3, co-authored 7 publications receiving 132 citations.

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Journal ArticleDOI

Cheating, Breakup, and Divorce: Is Facebook Use to Blame?

TL;DR: The results indicate that a high level of Facebook usage is associated with negative relationship outcomes, and that these relationships are indeed mediated by Facebook-related conflict.
Journal ArticleDOI

Basic Psychological Needs in Predicting Exercise Participation

TL;DR: Wilson et al. as discussed by the authors examined propositions stemming from self-determination theory, which contends that motivational consequences and positive outcomes are predicted by the needs for competence, relatedness, and autonomy.
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Predicting perceived infidelity from gender and interpersonal traits

TL;DR: In this paper, the authors investigated whether perceived infidelity may be predicted from gender, communion, fear of intimacy, and rejection sensitivity, and found that women, high-communion individuals, and low fear-of-intimacy individuals were more likely to perceive sex-based acts (e.g. sexual intercourse) and emotion-based act (i.e. falling in love without acting on the feelings) as constituting infidelity.
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Predicting safe sex practices from gender-related interpersonal variables

TL;DR: In this article, the authors investigated whether safe sex practices, including condom use and partner communication, may be predicted from the interpersonal traits of agency, unmitigated agency, communion, and un-mitigated communion.
Book ChapterDOI

Using an AI-Supported Online Discussion Forum to Deepen Learning

TL;DR: In this article, the authors demonstrate how a technology platform that leverages artificial intelligence (AI) can be used to deepen learning in online discussions by analyzing instructor and student perceptions and examining third-party analytics in two hybrid/blended undergraduate courses.