Course engagement in an accelerated on-line RN-to-BSN program
Daisha J. Cipher, PhD; Regina Wilder Urban, PhD, RN-BC, CCRN; Mary B. Mancini, PhD, RN, NE-BC, FAHA, ANEF, FAAN, CNA -- College of Nursing and Health Innovation, University of Texas at Arlington, Arlington, Texas, USA
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There is a need to better understand the online behaviors of students within their programs' learning management systems. An associational analysis was conducted with data collected from 307 RN-to-BSN students.The results of the multilevel analyses indicate that the time that students spend in their online courses can predict program success.
45th Biennial Convention 2019 Theme: Connect. Collaborate. Catalyze.
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|Keywords||RN to BSN;
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