• 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 Information Technology Services
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• v.19 no.5
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• pp.107-124
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• 2020

Due to spread of covid-19, which began in December 2019, the usage of online distance learning has expanded within colleges. However, because of the lack of readiness for running online distance learning, professors and students had to experience a lot of inconvenience. In the near future, the usage of online distance learnig is expected to more expand, thus, it seems that there should be a strategies for sustainable online learning operations. This study aims to investigate which factors have impact on the continuance intention to usage of online distance learning of airline department students, focused on Post-Acceptance Model. For the empirical analysis, this study utilized a structural equation model after collecting 136 survey data. The results is as follow; First, user interface has positive impact on confirmation and confirmation has positive impact on satisfaction of online distance learning. Seconds, confirmation has positive impact on perceived usefulness, flow and social presence. Third, social presence has positive impact on satisfaction of online distance learning, but perceived usefulness and flow didn't have statistically meaningful impact on satisfaction. Finally, statisfaction of online distance learning has huge positive impact on continuance intention to usage. It is expected that the implications of this study enable colleges effectively to run online distance learning in preparation for the post-covid 19 era.

• 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.

• Educational Technology International
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• v.24 no.2
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• pp.203-236
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• 2023

The purpose of this study is to explore the structural relationship between COVID-19-induced sub-dimensions of Online Self-Regulated Learning (OSRL) and satisfaction in online courses conducted in the 'post-COVID-19 era,' as well as to investigate the moderating effects of situational variables such as 'course planning,' 'device type,' and 'course repetition.' To achieve this, the study constructs a measurement model with sub-dimensions of Environment Structuring, Learning Strategy, Help Seeking, and Self-Evaluation as components of OSRL. Participants in this study were selected from university students who enrolled in online courses offered by the Department of Education at University A in the metropolitan area. The research findings reveal several key insights. First, among the sub-dimensions of Online Self-Regulated Learning, Environment Structuring, Learning Strategy, and Self-Evaluation significantly influence satisfaction with online courses. Second, students' satisfaction with online courses significantly influences their intention to continue participating in such courses. Third, 'course planning' during online course hours and 'course repetition' play a moderating role in the relationship between sub-dimensions of Online Self-Regulated Learning and satisfaction. Based on the discussion of these research results, this study concludes by suggesting some future implications and challenges of online courses.

• 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.

• Journal of Information Technology Applications and Management
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• v.17 no.2
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• pp.155-173
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• 2010

Although online education service markets are growing fast, previous studies have been limited to the studies on media types or system qualities of online education. In order to provide timely implications for online education service providers to maintain and increase the number of users, other factors such as interactivity and community perspectives should be considered. In this study, social capital and service quality were adopted as antecedents of learning motivation. Also, service quality dimensions, as well as learning motivation, were chosen to examine its impact on intention to repurchase of online education services. Research findings show that structural and cognitive dimensions of social capital are proved as antecedents of relational capital; structural and relational social capital positively influence on learning motivation; tangibility positively makes impact on learning motivation; and intention to repurchase is positively influenced by responsiveness and learning motivation. Practical implications based on the research findings are presented.

• The Journal of Information Systems
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• v.32 no.4
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• pp.95-118
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• 2023

Purpose This study employed the Technology Acceptance Model (TAM) to understand students' acceptance of online learning systems. Specifically, this study investigated the factors influencing the behavioral intention of South Korean major university students to use online learning systems for educational purposes in the period when their university life had largely returned to the state it was in before the COVID-19 pandemic. Design/methodology/approach This study examined the impact of four external factors: self-efficacy, personal innovativeness, perceived enjoyment, and system quality, on two TAM constructs: perceived ease of use and perceived usefulness. Additionally, this study explored how perceived ease of use and perceived usefulness affect the behavioral intention to use online learning systems. We conducted an online-based survey using a structured questionnaire. The data collected from the survey were then subjected to Structural Equation Modeling (SEM) analysis to test the study's hypotheses and examine the relationships among the various constructs. Findings The findings reveal that perceived usefulness and ease of use significantly influence students' behavioral intentions to use online learning systems. Furthermore, factors of self-efficacy, perceived enjoyment, and system quality positively affect perceived usefulness and ease of use. Notably, personal innovativeness impacts ease of use but not perceived usefulness.

• 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.

• Research in Mathematical Education
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• v.27 no.1
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• pp.93-109
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• 2024

This study compared the perceptions of 548 Korean and Indonesian secondary school teachers in the COVID-19 era and examined factors affecting their intention to continue online learning. Based on survey data, the two countries were compared on seven factors (teaching readiness, challenges and issues, competencies that require training, sources of support, types of support, and endurance). Furthermore, we examined what factors influence the intention to continue online learning. As a result, Korean teachers perceived their teaching readiness for online learning to be less than that of Indonesian teachers. Indonesian teachers perceived that they did not receive sufficient support. Additionally, factors affecting the intention to continue online learning differed depending on the country. Based on these results, we suggested implications for integrating online learning into mathematics education.

• Educational Technology International
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• v.11 no.2
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• pp.123-148
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• 2010

Relationships between students' perception of psychological distance with online professors and their academic learning achievement and their intention to continue online learning were examined. The courses selected for this study are two online courses: 1) 'English Grammar' and 2) 'TOEIC (Test of English for International Communication) Preparation' offered by a campus-based, medium-sized university. This study employed a mixed-methods approach by conducting a survey as well as one-on-one interviews with students. Students who feel psychologically distant with the online professors show significantly lower degree of perceived learning achievement, and higher tendency not to take online courses any more. All the three scales measuring the psychological distance -mutual awareness, connectedness, and availability- with professors turned out to be significantly related with students' perceived learning achievement. According to the result of the interview data analysis, the student interviewees unanimously said that the university should limit the number of online courses that students can register in a semester to one or two courses. Most students regard low interactivity of online learning as inevitable phenomenon. There is a statistically significant difference in perceived learning achievement between the online preferred group and the offline preferred group. Also, there is a significant difference in connectedness and availability and no significant difference in the degree of mutual awareness between the online and the offline preferred group.