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Wang, Yutao; Heffernan, Neil T.; Heffernan, Cristina – Grantee Submission, 2015
The well-studied Baker et al., affect detectors on boredom, frustration, confusion and engagement concentration with ASSISTments dataset were used to predict state tests scores, college enrollment, and even whether a student majored in a STEM field. In this paper, we present three attempts to improve upon current affect detectors. The first…
Descriptors: Majors (Students), Affective Behavior, Psychological Patterns, Predictor Variables
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Millward, Pam; Wardman, Janna; Rubie-Davies, Christine – Higher Education Research and Development, 2016
This article reports on a case study of one New Zealand university faculty involved in the second phase of a three-phase study investigating the experiences of talented undergraduate students. Talented undergraduate students are a largely forgotten group in research. The current study sought to investigate who the talented students were, and then…
Descriptors: Foreign Countries, Undergraduate Students, Talent Identification, Talent
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Ozgur, Hasan; Demiralay, Tülay; Demiralay, Ilkay – Turkish Online Journal of Distance Education, 2014
The current study investigated the relationship between problematic Internet use and levels of loneliness among 311 distance education students. "The Problematic Internet Use Scale" and "UCLA-Loneliness Scale III" were used to collect the data. Independentsamples t-test and one-way ANOVA were conducted to examine the…
Descriptors: Internet, Educational Technology, Distance Education, Psychological Patterns