• Knowledge Management Research
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• v.9 no.4
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• pp.1-16
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• 2008

The purpose of the present study is to explain the effects of academic self-efficacy, self-regulated learning and online task value on academic achievement and learning transfer in corporate cyber education. 202 students who completed S corporate's cyber courses in 2007 and responded to all survey participated in this study. A hypothetical model was proposed, which was composed of academic self-efficacy, online task value and self-regulated learning factors as prediction variables, and learning transfer as well as academic achievement factors as outcome variables. The results of this study through regression analysis as follows. First, learners' academic self-efficacy, self-regulated learning and online task value predict learners' academic achievement significantly. Second, except for academic self-efficacy, learners' self-regulated learning and online task value predict on learners' learning transfer significantly. Third, academic achievement plays a role as mediating value in predicting academic achievement by online task. It implies that learners' academic self-efficacy, online task value and self-regulated learning which predict learners' academic achievement and learning transfer should be considered in developing strategies for the design and operation of cyber courses.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.3
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• pp.105-115
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• 2023

This study analyzed the effects of learning participation motivation and collaborative self-efficacy on knowledge sharing behavior in an online learning environment. Collaborative learning in the online learning environment took the initiative in team formation, learning topic selection, learning planning and execution, and reflection. Collaborative learning was operated as an extracurricular program, and a survey was conducted targeting students who finally completed all learning activities. The results of the study are as follows. First, goal-oriented motivation and self-Efficacy for group work, showed significant influence on knowledge sharing behavior. Second, activity-oriented motivation did not show a statistically significant effect relationship. Interpreting the analysis results, it can be judged that the higher the goal-oriented motivation and self-Efficacy for group work of students who performed collaborative learning in an online learning environment, the higher the willingness to share knowledge, skills, and information they know. This study explored the outcomes of collaborative learning conducted in an online learning environment. It is meaningful that the learner's learning participation motivation was identified and the effect of self-Efficacy for group work, which can be expressed in collaborative learning situations, on knowledge sharing behavior, which is a necessary behavior for group performance, is significant.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.31-36
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• 2021

This study aims to provide basic data on establishing online learning by identifying the effects of self-efficacy as a medium on factors affecting self-control according to self-determination motivation through contactless online learning due to Covid-19. The research method used SPSS 25 and Sobel test to examine the causal relationship between the spokesmen and 196 middle and high school students in W-city, Gangwon-do. Self-determination motivation has had a significant effect on self-efficacy and self-control, and self-efficacy has been shown to have a significant effect on self-control. Also, Self-efficacy had a partial mediating effect on self-determination motivation affecting self-control. Based on this, fundamental and continuous development of online education programs to promote self-control of online learners is required, and efforts should be made to support learners' capabilities through psychological counseling.

• Educational Technology International
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• v.16 no.2
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• pp.85-110
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• 2015

This study investigated whether college students' self-efficacy, learning strategy utilization, academic burnout, and school support predict course satisfaction and learning persistence. To this end, self-efficacy, learning strategy utilization, academic burnout, and school support were used as prediction variables; and course satisfaction and learning persistence, as criterion variables. The subjects were 178 students who registered for online and mobile "Culture and Art History" courses at K online university. They participated in an online survey. Multiple regression analysis revealed that self-efficacy and learning strategy utilization positively predicted course satisfaction and learning persistence, academic burnout negatively predicted them, and school support predicted neither. Accordingly, we suggest that raising self-efficacy and learning strategy utilization, and reducing academic burnout in the learning environment will improve the course satisfaction and learning persistence of online learners.

• Journal of Korean Physical Therapy Science
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• v.28 no.3
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• pp.1-10
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• 2021

Background: The purpose of this study is to investigate the effect of the online team project based learning on problem-solving, cooperative self-efficacy, and cooperative self-regulation of college students. Design: Single group pre-post design. Methods: The online team project based learning was conducted for a total of 92 college students for 8 weeks. A survey was conducted on problem-solving ability, cooperative self-efficacy, and cooperative self-regulation. In the online team project-based class, two projects were performed. It consists of video lectures and real-time video conferencing. Through the real-time video conference, the project was carried out based on discussion among learners and feedback was provided. Results: There was a significant difference in the change in problem-solving ability compared to before learning (p<0.05). As a result of the evaluation of cooperative self-efficacy, there was a significant difference (p<0.05). There was a significant differences in cooperative self-regulation compared to before learning (p<0.05). Conclusion: The online team project-based learning are effective in improving learners' problem-solving ability, cooperative self-efficacy, and cooperative self-regulation.

• Journal of Information Science Theory and Practice
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• v.10 no.3
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• pp.24-39
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• 2022

Online learning is becoming ubiquitous worldwide because of its accessibility anytime and from anywhere. However, it cannot be successfully implemented without understanding constructs that may affect its adoption. Unlike previous literature, this research extends the Unified Theory of Acceptance and Use of Technology with three well-known theories, namely compatibility, online self-efficacy, and knowledge sharing and acquisition to examine online learning adoption. A total of 264 higher education students took part in this research. Partial Least Squares-Structural Equation Modeling was used to evaluate the proposed theoretical model. The findings suggested that performance expectancy and compatibility were significant predictors of behavioral intention, whereas behavioral intention, facilitating conditions, and compatibility had a significant and direct effect on online learning's actual use. The results also showed that knowledge acquisition, knowledge sharing, and online self-efficacy were determinates of performance expectancy. Finally, online self-efficacy was a predictor of effort expectancy. The proposed model achieved a high fit and explained 47.7%, 75.1%, 76.1%, and 71.8% of the variance of effort expectancy, performance expectancy, behavioral intention, and online learning actual use, respectively. This study has many theoretical and practical implications that have been discussed for further research.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.8-12
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• 2023

With the recent expansion of online lectures, studies on their effectiveness and their influencing factors have increased. This study examines the factors affecting the satisfaction of online classes, considering the utilization and importance of online lectures, which have greatly increased in recent years. Based on the review of previous studies, this study identified learning presence, self-efficacy, and learning immersion as factors affecting the satisfaction of online classes, and suggested hypotheses that explain the relationship between these factors, and empirically reviewed the hypotheses. As a result of the study, it was found that learning presence and self-efficacy had a positive effect on learning immersion, and learning immersion had a positive effect on learning satisfaction. Based on the research results, some practical implications for improving the satisfaction of online classes were suggested.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.385-393
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• 2021

In an effort to find ways to increase the effectiveness of online education, literature and empirical study based on the Technology Acceptance Model (TAM) have addressed a variety of questions, including perceived ease of use (PEU) and perceived usefulness (PU). After TAM, extensive studies have focused on the impact of extrinsic factors on PEU and PU, including Self-efficacy and Perceived Risk. This study aims to analyze the direct, indirect, and moderating effects of Self-efficacy and Perceived Risk on Online Learning Intention (OLI). Data was collected through a survey method from 472 students studying at universities in Vietnam. The collected data was analyzed using the PLS-SEM technique to test the hypotheses. The findings reveal that Technology Self-Efficacy influences the intention to take online courses both directly and indirectly through Perceived Ease of Use and Perceived Usefulness. Besides, Perceived Risk COVID-19 also has a positive effect on online learning intention, and plays a role as a moderating variable on the impact of PU on OLI. These findings suggest that students will have a stronger intention to study online when they are confident in their ability to use technology. When they believe in their ability to use technology, their online learning intention will also increase.

• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.203-211
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• 2022

Due to the Corona-19 pandemic, online education has grown worldwide and it is now being predicted that online education will dominate the future of education. This study examines, as characteristics of the human factor, the effect of self-efficacy; as system factors influencing learners' satisfaction with online learning and behavioral intention to use online learning, this study examines perceived social presence and perceived teaching presence. Participating in this study were 236 students who filled out an online survey in return for course credits. Study findings suggest that individuals with high social presence and teaching presence will have higher satisfaction with online learning and higher behavioral intention to use online learning than those with low social presence and teaching presence. The study also found that individuals with high self-efficacy have higher satisfaction with online learning and higher behavioral intention to use online learning than those with low self-efficacy. This study provides theoretical implications as well as practical implications for e-learning educators when it comes to enhancing students' satisfaction with online learning and behavioral intention to use online learning.

• Journal of Distribution Science
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• v.22 no.12
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• pp.123-132
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• 2024

Purpose: This study investigates the impact of e-learning service quality-specifically content, system, and service quality-on e-learning satisfaction. It further explores the mediating effects of perceived consistency and personalization in the relationship between e-service quality and learning satisfaction, as well as the moderating effects of online learning self-efficacy. Research design, data and methodology: A research model was developed based on previous studies, incorporating hypotheses about the relationships among e-learning service quality (content, system, and service), perceived consistency, perceived personalization, online learning self-efficacy, and e-learning satisfaction. Data were collected through surveys administered to e-learning users. Statistical analyses, including regression and mediation/moderation tests, were performed to validate the hypotheses. The collected data were analyzed using Smart PLS and SPSS Macro version 3.5 to test the research model. Conclusion: The results revealed that e-service quality (content quality and service quality) significantly influences learning satisfaction. The mediating effects of perceived consistency and perceived personalization were partially significant. Furthermore, online learning self-efficacy was found to significantly moderate the relationship between content quality and learning satisfaction, emphasizing its critical role in enhancing user engagement and satisfaction.