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Wakjira, Abdalganiy; Bhattacharya, Samit – International Journal of Web-Based Learning and Teaching Technologies, 2021
Students in the online learning who have other responsibilities of life such as work and family face attrition. Constructing a model of engagement with smallest granule of time has not been implemented widely, but implementing it is important as it allows to uncover more subtle patterns. We built a student engagement prediction model using 9…
Descriptors: Learner Engagement, Online Courses, Prediction, Models
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Attardi, Stefanie M.; Barbeau, Michele L.; Rogers, Kem A. – Anatomical Sciences Education, 2018
An online section of a face-to-face (F2F) undergraduate (bachelor's level) anatomy course with a prosection laboratory was offered in 2013-2014. Lectures for F2F students (353) were broadcast to online students (138) using Blackboard Collaborate (BBC) virtual classroom. Online laboratories were offered using BBC and three-dimensional (3D)…
Descriptors: Undergraduate Students, Online Courses, Computer Simulation, Course Descriptions
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Gregg, David; Somers, Cheryl Leigh – AERA Online Paper Repository, 2016
The purpose of this research study was to examine rates, recipients, and predictors of teen sexting. A sample of 314 high school students in an urban area of Southeast Michigan were surveyed. Males were more likely to engage in nearly all forms of sexting. Impulsivity, frequency of electronic communication, peer pressure, peer sexting, and peer…
Descriptors: Sexuality, Computer Mediated Communication, Urban Areas, High School Students
Breslin, Mary R. – ProQuest LLC, 2012
College students act on their professors' feedback less often and less completely than their professors would like. The problem this study addressed is that the relative predictive value of factors concerning graduate students in online courses acting on their professors' feedback is unknown. By focusing on graduate students in…
Descriptors: Graduate Students, Feedback (Response), College Faculty, Student Attitudes