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JM De Leon
JL Mejilla
CG Sagun
MC Garcia
PR Alviar

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JM De Leon
JL Mejilla
CG Sagun
MC Garcia
PR Alviar

International Journal of Educational Policy Research and Review
ISSN 2360-7076
Vol.3 (2), pp. 14-19 April, 2016
Available online at https://www.journalissues.org/IJEPRR/
DOI:http://dx.doi.org/10.15739/IJEPRR.16.003
Article ID:/16/EPRR/026/06 pages
Author(s) agree that this article remain permanently open access under the terms of the Creative Commons Attribution License 4.0 International License.



Original Research Article

E-learning and general weighted average as predictors for nurses licensure examination

Josephine M. De Leon*, Joylyn L. Mejilla, Ceryl G. Sagun, Marjorie C. Garcia and Patricia R. Alviar

Centro Escolar University, # 9 Mendiola St. Manila, Philippines

*Corresponding Author Email address: jdeleon@ceu.edu.ph

Tel:  +63 027362211,+63 09952323206



date Received: March 10, 2016     date Accepted: April 7, 2016     date Published: April 15, 2016


 Abstract

This study evaluated the relationship of E-learning and the General Weighted Average (GWA) of students with the Nursing Licensure Exam (NLE). A descriptive-correlational design was used to describe E- learning, GWA and results of the licensure examination of graduates. 1,257 nursing graduates from the School of Nursing from the three campuses in Manila were purposively selected as the subjects of the study. Mean and SD was used to describe E-Learning, GWA and NLE performances of graduates. Pearson’s correlation and multiple regression analysis were used to determine the relationship among E- Learning, GWA and NLE performance. E-learning performances of graduates were conditional pass category while GWA and NLE performances were satisfactory. E-learning and GWA performances of graduates were correlated with NLE performances for graduates who took the June and July NLE.  However, there was weak correlation in the performance of graduates who took the December NLE. E-Learning and GWA were all predictors in nursing graduates. The two predictor model was able to account for 51 to 61% variance in NLE performances of graduates. The study concludes that E-Learning and GWA performances of graduates are bases for passing the Nurses Licensure Examination (NLE).


Key words: E Learning, general weighted average, nurses licensure examination


De Leon et al