• International Journal of Advanced Culture Technology
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• v.9 no.4
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• pp.9-17
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• 2021

This is a descriptive investigative study which attempts to confirm the mediating effect of learning motivation in the relationship between self-directed learning, learning commitment, and learning persistence intention of university students in an online learning environment. The questionnaires were randomly distributed online and the agreed questionnaires were retrieved, with a total of 338 copies used for analysis. The following is the summary of the findings. First, there were significant differences in learning persistence intention according to general characteristics depending on age, major, part-time job, and academic level. Second, the results showed a positive correlation between self-directed learning, learning commitment, learning motivation, and learning persistence intentions of the subjects were statistically significant. Third, after checking the mediating effect of learning motivation in relation to self-directed learning, learning commitment and learning motivation, the learning motivation has a partial mediating effect on learning and 23% explanatory power, and the learning commitment was found to have a complete mediating effect on the impact of learning motivation on learning intentions with 21% explanatory power. Based on these results, it is necessary to provide a more diverse educational environment, such as operating a motivation semester program that can improve learning motivations along with learning commitment, and the use of a variety of contents that can focus the learner's interest or attention.

• The Journal of Korean Academic Society of Nursing Education
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• v.24 no.2
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• pp.127-136
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• 2018

Purpose: The purpose of this study was to examine the effects of self-regulated learning ability of freshmen in nursing college on the learning persistence intention, and to determine if their learning motivation meditates the relationship between them. Methods: The study design was based on descriptive research. Data were collected from 146 nursing freshmen studying at a university in D city from June 5, 2017 to June 7, 2017. Results: There was a positive correlation among learning persistence intention, self-regulated learning ability (r=.57, p<.001) and learning motivation (r=.60, p<.001). Also, it was found that learning motivation was positively correlated with self-regulated learning ability (r=.79, p<.001). According to the Sobel test results, the learning motivation had a complete mediating effect (${\beta}=.39$, p<.001) between self-regulated learning ability and learning persistence intention (Z=3.63, p<.001). Conclusion: Therefore, this study suggests developing a learning motivation program to improve self-regulated learning ability and learning persistence intention of nursing students during their freshman year.

• Journal of the Korean Applied Science and Technology
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• v.40 no.3
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• pp.374-384
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• 2023

Universities that previously targeted in 20s have recently diversified their operation methods, founding purposes, and target. With a significant decrease in the school-age population relative to the number of universities, universities are making their best efforts to secure new students and minimize student attrition. In this study, an online survey was conducted to empirically examine the effects of motivation for major selection and sense of belonging on learning persistence intention among students in beauty-related departments at 2-year and 4-year general universities and cyber universities. The collected data from 119 students at general universities and 113 students at cyber universities were analyzed using SPSS 28. The key findings can be summarized as follows: For general universities, motivation for major selection did not have a significant effect on learning persistence intention, but sense of belonging had a significant positive effect. Additionally, an interaction effect was observed, indicating that as the sense of belonging increased, extrinsic motivation significantly increased learning persistence intention. For cyber universities, intrinsic motivation and sense of belonging among motivations for major selection had a significant positive effect on learning persistence intention, while the moderating effect of sense of belonging in the relationship between motivation for major selection and learning persistence intention was not significant. In summary, for general universities, the factor that influenced students' learning persistence intention was a sense of belonging to the university, while for cyber universities, intrinsic motivation played a significant role. These findings are expected to provide meaningful insights and data for universities to develop effective policies for preventing student attrition.

• Journal of Engineering Education Research
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• v.20 no.6
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• pp.3-11
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• 2017

The purpose of this study is to investigate the variables that learners should consider for learning persistence when applying blended learning to mathematics class which is a basic curriculum of engineering college. For this purpose, this study compared the basic mathematics class with the blended learning and the class without it. In addition, this study analyzed the influence of the learning outcomes of the blended learning on the willingness to learning persistence by using the self-efficacy and self-regulated learning variables that can predict it. As a result, it was found that the blended learning applied mathematics class of K university which is the subject of analysis in this study has higher self - efficacy, self - regulated learning, and learning persistence intention than general classroom. Finally, the results of this study are meaningful to provide the points to be considered for improving the learning performance when applying the blended learning to the subject class in the future.

• Journal of Engineering Education Research
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• v.18 no.4
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• pp.13-25
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• 2015

The purpose of this study was to investigate structural relationships among engineering self-efficacy, outcome expectation, interest, learning persistence, and career preparation behavior of engineering students. Participants (n=428) completed measures of engineering self-efficacy, outcome expectations, interests, learning persistence, and career preparation behavior. Results from structural equation modeling analysis were found to support the proposed model which included learning persistence and career preparation behavior, influence from engineering self-efficacy, outcome expectations, and interests. In addition, major persistence intention and career preparation behavior of engineering college students are influenced by the direct and indirect effects on engineering self-efficacy, interest, and outcome expectations. The implications of the findings on practice for Korean engineering college students are discussed.

• Journal of The Korean Association of Information Education
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• v.26 no.6
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• pp.517-532
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• 2022

As a result of the this exploratory study the main results show that the factors affecting the satisfaction of non-face-to-face class learning of graduate students in Education were social presence, perceived easy to use, and information service quality. Secondly, the factors affecting the learning persistence were perceived usefulness and social presence, but perceived usefulness's influence was relatively small. Next, it was found that the subjective satisfaction of graduate students of education did not significantly affect their intention to continue learning persistence. Lastly, learning satisfaction and learning persistence had a positive effect on the intention to recommend to others. Through the this empirical analysitics study it demonstrate the factors such as attitudes, feelings, and friendliness toward non-face-to-face online classes perceived by graduate students in Education.

• Journal of the Korean Applied Science and Technology
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• v.37 no.4
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• pp.1008-1019
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• 2020

The purpose of this study is to investigate the effects of social support of students majoring in physical education on their major satisfaction and intention to continue learning, and to prevent dropout of students majoring in physical education in the credit banking system and to find effective management methods. The research tools were verified by confirmatory factor analysis, concentration validity, discriminant validity, average variance extraction (AVE), concept reliability, and Cronbach's coefficient for validity and reliability verification of the research tools. The data processing method was conducted by using IBM SPSS Statistics 21 and IBM AMOS 21 to verify reliability analysis, correlation analysis, and structural equation model (SEM) through frequency analysis, confirmatory factor analysis, concentration validity, discriminant validity, Cronbach's coefficient calculation. The results are as follows. First, the study model was tested and the criteria were met for verifying the suitability of the relationship between social support, major satisfaction and learning persistence intention of the professors majoring in physical education in credit banking system. Second, as a result of the verification of Hypothesis 1, the social support of the professor of the physical education major in the credit banking system has a significant effect on the major satisfaction. The results of the verification of Hypothesis 2 showed that the social support of the professor of the physical education major in the credit banking system affects on the learning persistence. As a result of the verification of Hypothesis 3, it has been shown that major satisfaction has a significant effect on the learning persistence.

• 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.

• Journal of Korea Port Economic Association
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• v.36 no.1
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• pp.165-182
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• 2020

According to recent government forecasts, universities face a critical situation, due to a reduction in the number of students and a decrease in tuition income. To respond to the changed population structure and the 4th Industrial Revolution, the government is supporting universities in reorganizing the structure of academics and curricula focused on lifelong education. Considering this, this study analyzed the correlation between intention to participate in lifelong education and learning outcomes oriented to workers involved in shipping and port logistics in the Port of Gwangyang and Yeosu, who are participating or have participated in lifelong education. To expand the opportunities for participation in the lifelong education of adult learners and form a learning culture, it is necessary to analyze the intention to participate in lifelong education and how participants identify their learning outcomes. According to the analysis results, the goal orientation of intention to participate in learning has a significant influence on individual features of learning outcomes, and learning orientation has a significant influence on the social characteristics of learning outcomes. Moreover, learning outcomes and the learning orientation of the intention to participate in learning have a significant influence on the intention to continue learning. In particular, the results showing that learning outcomes reflect individual changes and that interests obtained as a product of learning influence the intention to continue learning are highly suggestive.

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.453-463
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• 2018

An analysis including ASE model accessing based on the intention of behavior performance of online university students is a new approach to improve academic persistence considering the characteristics of students with extensive personal variables, a uniqueness of learning environment. This study aimed to identify the relationship between ASE model including academic stress and academic persistence, and the effect of these factors on academic persistence of online university students. Data were collected from 181 sophomores in K open university from March to June, 2018. Frequency analysis, ${\chi}^2-test$, t-test, F-test, Pearson's correlation analysis, and multiple regression analysis used for data analysis. For factors affecting academic persistence, academic stress (${\beta}=-.16$, p=.016), online learning attitude (${\beta}=.44$, p<.001), and social support among social influential factors (${\beta}=.16$, p=.045) were statistically significant and the prediction model of academic persistence showed 29% explanation power (F=15.76, p<.001). To enhance academic persistence of online university students, it is needed to develop programs to reduce academic stress, improve attitude toward online learning, and improve social support.