• Journal of The Korean Society of Integrative Medicine
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• v.10 no.2
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• pp.145-153
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• 2022

Purpose : This study aimed to investigate the effects of blended learning on learning satisfaction in nursing students. Methods : This study was conducted with 160 current nursing students in the department of nursing at K university located in city B. All students included in the study understood the purpose of the study and provided informed consent to participate. Data were collected between May 3 and July 9, 2021 and analyzed using SPSS/WIN 22.0. The frequency, percentage, mean, and standard deviation were created, and t-test, ANOVA, and Scheffé test for post hoc analysis were performed. Correlations were analyzed using Pearson's correlation coefficient. The factors influencing learning satisfaction were analyzed using multiple regression. Results : Significant differences were observed for academic stress according to the online classes environmental satisfaction (F=4.10, p=.001), online classes experience (t=4.11, p=.001) and self-directed learning ability according to the grade (F=4.10, p=.001), online classes environmental satisfaction (t=4.11, p=.001). The academic stress of nursing students who experienced blended learning was significantly negatively correlated with self-directed learning ability (r=-.480, p<.001), and learning satisfaction (r=-.236, p<.001). self-directed learning ability showed a significant positive correlation with learning satisfaction (r=.524, p<.001). The regression model for the factors affecting the learning satisfaction of the subjects was statistically significant (F= 3.027, p<.001). The major influential factors of learning satisfaction were grade (𝛽=.154, p=.013), satisfaction with school life (𝛽=.168, p=.032), and satisfaction with non-contact learning environment (𝛽=-.141, p=.028). The explanatory power was 28 %. Conclusion : These results indicate that it is necessary to reduce academic stress and increase self-directed learning ability to enhance learning satisfaction in nursing students through blended learning. In addition, the development and operation of a tailored intervention program is required to help improve learning satisfaction.

• Educational Technology International
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• v.22 no.2
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• pp.255-283
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• 2021

In the early 2020, COVID-19 changed the traditional way of teaching and learning. This paper aimed to explore the impact of college students' perception of course quality on their online learning satisfaction. A total of 4,812 valid samples were extracted, and the difference analysis and hierarchical regression analysis were used to make an empirical analysis of college students' online learning satisfaction. The research results were as follows. Firstly, there was no difference in online learning satisfaction among students by gender and grade. Secondly, learning assessment, course materials, course activities and learner interaction, and course production had a significant positive impact on online learning satisfaction. Course overview and course objectives had an insignificant correlation with online learning satisfaction. Thirdly, the total effect of online learning satisfaction was as follows. Course production had the greatest effect, followed by course activities and student-student interactions, followed by course materials. It was the learning evaluation that showed the least effect. This study can provide empirical reference for college teachers on how to continuously improve online teaching and increase students' satisfaction with online learning.

• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.1
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• pp.16-23
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• 2013

Purpose: The purpose of this study was to examine the effects of intrinsic motivation and e-learning strategies on nursing students' learning satisfaction in blended e-learning environment. Method: The survey was performed with 111 undergraduate nursing students who have taken community health nursing in 1 university. The data was collected by questionnaires and were analyzed with the IBM SPSS statistics 20.0, using descriptive statistics, Pearson's correlation coefficient and multiple regression. Results: The mean score for intrinsic motivation was 3.25, for e-learning strategies, 3.56, and for learning satisfaction, 3.69. Significant positive correlation among intrinsic motivation, e-learning strategies, and learning satisfaction. The regression model explained 41.4% of learning satisfaction. Both intrinsic motivation and e-learning strategies were significant predictor of learning satisfaction. Conclusion: In order to improve the learners' learning achievement and learning satisfaction in blended e-learning environment, intrinsic motivation should be strengthen and e-learning strategies should be developed.

• Journal of Agricultural Extension & Community Development
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• v.22 no.2
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• pp.233-243
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• 2015

This study is for understanding differences of satisfaction followed by learning and teaching presence perceived by learners and participation motivation on learning in a distance education. General characteristics of learner are classified as an entrance type, sex, age, new/transfer of distance university learners. Perceived presence is classified with learning presence and teaching presence. Participation motivation on learning is classified with the directivity of activity, goal, and study based on the reason of participating in classes in a distance university. And this research tried out to find the effects of learner's characteristics, perceived presence, and participation motivation on learning satisfaction. The results are as follows. First, there was no meaningful difference of general characteristic on satisfaction. It means sex, age, and entrance type did not have an effect on satisfaction. Second, with the level of presence perceived by learner, satisfaction has meaningful differences. It means that students who had higher learning presence perceived of distance university showed higher satisfaction, and so as in teaching presence perceived on satisfaction. Third, factors effecting satisfaction based on participation motivation on learning differ with types of motivation. There was no meaningful difference of the level of activity directivity study participant on satisfaction, but was a meaningful difference of goal directivity and of study directivity in participation motivation on learning satisfaction. It was the learning presence that had a significant effect on learning satisfaction of adult learning.

• Journal of Digital Convergence
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• v.16 no.4
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• pp.289-297
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• 2018

The purpose of this study was to examine the correlations of learning attitude, class participation, and learning satisfaction, and to identify the influencing factors on learning satisfaction of nursing students in fundamental nursing curriculum. Data were collected from 173 nursing students from September 1 to 8, 2017. Data were analyzed using Pearson's correlation coefficients and stepwise multiple regression. Learning attitude, class participation, and learning satisfaction according to the general characteristics commonly showed significant differences in satisfaction with major, satisfaction with school, friendship, last semester grade, and interest in fundamental nursing. Learning satisfaction showed significant positive correlations with learning attitude and class participation. Satisfaction with major, interest in fundamental nursing, and class participation, which accounted for 36% of the variance, were significant predictors influencing learning satisfaction in nursing students. It is necessary to increase majors' satisfaction, fundamental nursing interest, and class participation in order to improve learning satisfaction of nursing students.

• Knowledge Management Research
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• v.10 no.4
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• pp.31-42
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• 2009

With the rapid development of information technology, e-learning is growing in corporate. However, there are still problems in learning, such as low learning persistence rate. Learning outcomes are complex phenomenon influenced by a multitude of factors, it is need to considering the direct and indirect causal relationship among various factors. Therefore, the purpose of this study was to develop the causal model that explains the learning outcomes (satisfaction learning persistence) in corporate e-learning. This study was also intended to examine the causal relationship between the interaction and learning persistence through satisfaction mediators. For this, online survey was conducted with a sample of 270 learners who enrolled in cyber training course at A company. The major findings of this study are as follows: First, internality (internal locus of control, ${\beta}=.154$), interaction (${\beta}=.489$), satisfaction (${\beta}=.304$) have direct effect on learning persistence. Second, the interaction has direct effect on the satisfaction (${\beta}=.320$). Third, the satisfaction has direct effect on the learning persistence, and mediating the interaction and learning persistence. This result will contribute to build a learning strategy to improve learning outcomes.

• Journal of the Korea Society of Computer and Information
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• v.21 no.11
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• pp.135-139
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• 2016

This paper investigates the empirical implications. The research question of this study is to verify the influences of psychological and environmental factors toward performance satisfaction and durability of learning in E-Learning University. For empirical verification, a survey was conducted targeting 500 students in E-learning Universities. The results show that actional environment on academic satisfaction in learning is the most important factor followed by physical environment, internal motivation, and academic burnout. The effect of psychological factors on learning persistence was important in the order of academic vision, internal motivation, actional environment and physical environment. The effect of academic satisfaction on learning durability proved to be statistically significant. The results suggest that actional environment should be considered with top priority to increase the academic satisfaction. learning satisfaction, academic vision, and academic satisfaction to enhance students' intention to continue studies are important. Academic burnout has a negative effect on both academic satisfaction and learning persistence, suggesting that this aspect should be properly addresses. The effects of student background variables in E-learning were explored.

• International Journal of Knowledge Content Development & Technology
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• v.5 no.2
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• pp.103-122
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• 2015

This study examined student satisfaction with e-learning experiences in order to determine which factors had the greatest impact on reports of satisfaction among students at Konkuk University. We surveyed 4,889 students enrolled in e-learning courses and analyzed 830 completed questionnaires to identify factors that influence student satisfaction with e-learning. Results showed significant correlations between system factors and satisfaction ($R^2=0.577$; p = 0.000). The system factor with the greatest impact on satisfaction was course attendance rate (0.224; p = 0.000).

• Safety and Health at Work
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• v.6 no.3
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• pp.211-217
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• 2015

Background: E-learning-based programs have recently been introduced to the occupational safety and health (OSH) education for migrant workers in Korea. The purpose of this study was to investigate how the factors related to migrant workers' backgrounds and the instructional design affect the migrant workers' satisfaction with e-learning-based OSH education. Methods: The data were collected from the surveys of 300 migrant workers who had participated in an OSH education program. Independent sample t test and one-way analysis of variance were conducted to examine differences in the degree of learning satisfaction using background variables. In addition, correlation analysis and multiple regression analysis were conducted to examine relationships between the instructional design variables and the degree of learning satisfaction. Results: There was no significant difference in the degree of learning satisfaction by gender, age, level of education, number of employees, or type of occupation, except for nationality. Among the instructional design variables, "learning content" (${\beta}=0.344$, p < 0.001) affected the degree of learning satisfaction most significantly, followed by "motivation to learn" (${\beta}=0.293$, p < 0.001), "interactions with learners and instructors" (${\beta}=0.149$, p < 0.01), and "previous experience related to e-learning" (${\beta}=0.095$, p < 0.05). "Learning environment" had no significant influence on the degree of learning satisfaction. Conclusion: E-learning-based OSH education for migrant workers may be an effective way to increase their safety knowledge and behavior if the accuracy, credibility, and novelty of learning content; strategies to promote learners' motivation to learn; and interactions with learners and instructors are systematically applied during the development and implementation of e-learning programs.

• The Journal of Information Systems
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• v.31 no.1
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• pp.219-238
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• 2022

Purpose The purpose of this study is to investigate the structural relationships between interest, interaction level, presence, which are the characteristics of metaverse, learning immersion, and learning satisfaction, which are learning factors. Design/methodology/approach A questionnaire survey technique was used to achieve the purpose of the study. A questionnaire survey was conducted from November 22 to December 5, 2021, with students with experience in non-face-to-face classes using Gather Town and a total of 114 copies of the questionnaire excluding those with insincere answers were used for empirical analysis. SPSS Win ver.23.0 was used for basic statistical analysis, and AMOS 22.0 was used for the establishment and analysis of a structural equation model. Findings According to the study findings, interest and interaction levels had effects on learning immersion and learning presence, self-efficacy on learning presence, and learning immersion and learning presence on learning satisfaction. This study is meaningful in that it conducted an empirical study to find variables for improving learning immersion by conducting classes based on metaverse. Based on the findings of this study, it was found that interest and interaction, which are the biggest characteristics of metaverse, sustain learning participation and immersion and increase presence thereby enhancing learning satisfaction so that the possibilities of metaverse as a next generation education platform passing the limit of existing real time video platforms can be peeped.