A
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.
Papers
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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.
Journal ArticleDOI
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.
Journal ArticleDOI
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
Tamarin Butcher,Michelle Read,Ann Evans Jensen,Gwendolyn M. Morel,Alexander Nagurney,Patrick A. Smith +5 more
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.