Degree Completion Nursing Students Readiness to Learn in the Online Environment in Uganda
Abstract:
The global
call to improve the quality of healthcare, and the restructuring of job descriptions
require nurses to return to school to attain the necessary qualifications. Some nursing degree completing programs available in Uganda provide
blended learning which combines the traditional classroom and online learning. However,
learning online requires students to be equipped with readiness competences which
include computer/internet and online communication self-efficacy, self-directed
learning, time management, study habits, and institutional support from peers and
instructors. This quantitative arm of the study explored the self-efficacy of the
readiness competences of the 226 nursing students in the degree completion programs
and the predictors of readiness to learn online. Descriptive and inferential statistics
were used to analyze the data. Slightly over half of the students (58%) were ready
to learn online. The finding indicates a moderate level of readiness where to attain
readiness category required at least 76% of the students to be ready to learn online.
The students reported a high level of readiness in self-directed learning, time
management, study habits, and institutional support but lower readiness levels in
online communication and computer/internet self-efficacy. All competences were significantly
correlated and predicted readiness, suggesting their interdependence in contributing
to readiness to learn online. Computer and online communication
self-efficacy were the strongest predictors of readiness to learn online, whereas
self-directed learning and institutional support were the weakest. The Readiness
to Learn Online Model (RLOM) predicted 88% of the readiness and therefore presumed
to be very good in assessing online learning readiness. The findings necessitate
the institutions to assess students before they enter the online programs and to
provide resources, training and continuously persuade them to improve their self-efficacy.
Keywords: Computer self-efficacy, Internet self-efficacy,
Institutional support, Online communication self-efficacy, Online learning, Self-directed
learning, Readiness, Study habits, Time management.
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