Examining the Role of System Acceptance and Community Feeling in Predicting Nursing Students' Online Learning Satisfaction

Online learning has transitioned from being optional to a mandatory experience in nursing education. Consequently, it is crucial to understand nursing students' satisfaction and the factors influencing it to create and implement a successful online learning environment. This study aimed to examine the roles of system acceptance and community feeling in predicting nursing students' online learning satisfaction. The sample of the relational and cross-sectional study consisted of 451 nursing students studying online in the two universities in Western Turkey. Data were collected using the Personal Information Form, Online Learning Systems Acceptance, Community Feeling Scale, and Satisfaction Scale. A positive correlation was found between the perceived ease and benefit variables and satisfaction levels of nursing students in the study within the scope of online learning systems acceptance. A positive correlation was found between the actional and affective components of community feeling and satisfaction levels of nursing students in the study. Besides, the affective component was found to be the most significant factor in explaining satisfaction with online learning. The learning environment can be improved by increasing the diversity and interaction of nursing students with methods or instruments such as online collaborative learning approaches and online community building.

Authors

Institutions

Publication Details

Journal
CIN Computers Informatics Nursing
Published
2024-12-06
DOI
https://doi.org/10.1097/cin.0000000000001228
Primary Topic
Online and Blended Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Examining the Role of System Acceptance and Community Feeling in Predicting Nursing Students' Online Learning Satisfaction

Nesrin Çunkuş Köktaş, Gülseren Keskin, Gülay Taşdemir Yiğitoğlu
CIN Computers Informatics Nursing
Online and Blended Learning
article

Examining the Role of System Acceptance and Community Feeling in Predicting Nursing Students' Online Learning Satisfaction

Nesrin Çunkuş Köktaş, Gülseren Keskin, Gülay Taşdemir Yiğitoğlu
article en

Abstract

Online learning has transitioned from being optional to a mandatory experience in nursing education. Consequently, it is crucial to understand nursing students' satisfaction and the factors influencing it to create and implement a successful online learning environment. This study aimed to examine the roles of system acceptance and community feeling in predicting nursing students' online learning satisfaction. The sample of the relational and cross-sectional study consisted of 451 nursing students studying online in the two universities in Western Turkey. Data were collected using the Personal Information Form, Online Learning Systems Acceptance, Community Feeling Scale, and Satisfaction Scale. A positive correlation was found between the perceived ease and benefit variables and satisfaction levels of nursing students in the study within the scope of online learning systems acceptance. A positive correlation was found between the actional and affective components of community feeling and satisfaction levels of nursing students in the study. Besides, the affective component was found to be the most significant factor in explaining satisfaction with online learning. The learning environment can be improved by increasing the diversity and interaction of nursing students with methods or instruments such as online collaborative learning approaches and online community building.

CIN Computers Informatics NursingVol. 43(3)
Pamukkale University (TR)
Quality Education
Openalex Percentile: Top 69%
Online and Blended Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Examining the Role of System Acceptance and Community Feeling in Predicting Nursing Students' Online Learning Satisfaction — Nesrin Çunkuş Köktaş, Gülseren Keskin, et al. · CIN Computers Informatics Nursing (2024) | TGRS Research Map | TGRS