• 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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.2
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• pp.665-673
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• 2013

The main objective of this study was to investigate the effect of learning organization on social worker's organizational commitment and turnover intention in the social welfare organization. For the research, learning organization was consisted of shared vision, personal mastery, team learning and system thinking on the P. Senge's learning organization model. The results of this study were summarized as follows: Mean analyses showed that social workers perceived the level of learning organization had a higher than medium. By using a hierarchical multiple regression, shared vision, personal mastery and team learning had a positive effect on the social workers' organizational commitment. Shared vision and team learning had a negative effect on the social workers' turnover intention. This study finally discusses theoretical implications for future study and practical implications for learning organization strategies on the results.

• Educational Technology International
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• v.21 no.1
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• pp.1-29
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• 2020

Despite the existing body of literature focusing on the effects of one-to-one mobile technology integration in teaching and learning, research discussed that the determinants of mobile technology acceptance and use in secondary school settings are still unclear. Hence, this study examined the extent to which determinants influence high school students' behavioral intention to use one-to-one mobile technology for learning. The newly proposed model incorporated three additional constructs beyond those in the unified theory of acceptance and use of technology (UTAUT) model, including computer self-efficacy, attitude toward using technology and computer anxiety, as suggested by recent literature. Data were collected from 247 U.S. Midwestern high school students who participated in an online survey. Using a structural equation modeling approach, this study established construct validity for the nine-construct extended UTAUT model to assess high school students' intention to use mobile technology. The results of structural relations in the proposed model showed that their behavioral intention to use mobile technology was significantly predicted by social influence and attitude toward using technology. Also, their strong behavioral intention and facilitating conditions were associated with frequent use of mobile technology in learning. Discussion, implications, and conclusion were addressed in this study.

• Journal of The Korean Association of Information Education
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• v.18 no.4
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• pp.509-520
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• 2014

This study investigated the structural relationships among factors on intention to use mobile learning and suggests practical strategies to enhance learners' behavior intention in secondary school. In this study, we hypothesized that mobile computing self-efficacy, personal innovativeness, and social influence had positive effects on perceived usefulness and perceived ease of use, which ultimately had positive effects on intention to use mobile learning. In order to examine structural relationship among variables, we surveyed 289 high school students in spring semester of 2014. After collecting data, we examined causal relationship among variables using Structural Equation Modeling. The results of this study are as follows: First, mobile computing self-efficacy and personal innovativeness significantly affected perceived ease of use. Second, mobile computing self-efficacy, social influence, and perceived ease of use significantly affected perceived usefulness. Lastly, perceived usefulness and perceived ease of use significantly affected intention to use mobile learning of high school students.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.477-490
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• 2014

The purpose of this study is to investigate factors influencing continuous usage intention of mobile learning and suggest practical strategies to enhance learners' continuous usage intention of mobile learning. In this study, we hypothesized that system quality, information quality, service quality and personal innovativeness have a positive effect on effort expectancy and performance expectancy, which ultimately have a positive effect on continuous usage intention. In order to examine structural relationship among variables, we surveyed 279 students who took courses at W Cyber University in 2013 fall semester. After collecting data, we examined causal relationship among variables using Structural Equation Modeling. The results of this study are as follows: First, system quality and personal innovativeness significantly affect effort expectancy. Second, information quality, service quality and personal innovativeness significantly affect performance expectancy. Last of all, effort expectancy and performance expectancy significantly affect continuous usage intention of mobile learning.

• Korean Journal of Childcare and Education
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• v.20 no.2
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• pp.127-143
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• 2024

Objective: The purpose of this study is to develop a machine learning model to predict the subsequent childbirth intention of married women with one child, aiming to address the low birth rate problem in Korea, This will be achieved by utilizing data from the 2021 Family and Childbirth Survey conducted by the Korea Institute for Health and Social Affairs. Methods: A prediction model was developed using the Random Forest algorithm to predict the subsequent childbirth intention of married women with one child. This algorithm was chosen for its advantages in prediction and generalization, and its performance was evaluated. Results: The significance of variables influencing the Random Forest prediction model was confirmed. With the exception of the presence or absence of leave before and after childbirth, most variables contributed to predicting the intention to have subsequent childbirth. Notably, variables such as the mother's age, number of children planned at the time of marriage, average monthly household income, spouse's share of childcare burden, mother's weekday housework hours, and presence or absence of spouse's maternity leave emerged as relatively important predictors of subsequent childbirth intention.

• Proceedings of the CALSEC Conference
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• 2005.03a
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• pp.96-100
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• 2005

This study examines the effects of the characteristics of educational contents, brand recognition, educational management and technical support on the repurchase intention mediated by overall satisfaction, trust and commitment in e-Learning sites. A survey of experienced users was conducted to collect data. The reliability and validity of data were tested by explanatory factor analysis, Cornbach's alpha coefficient, confirmatory factor analysis and correlation analysis. Also, the structural equation mode (SEM) analysis was performed to test the usefulness of the model. The results of the study are as follows: Educational contents, educational management and technical support were found to have positive effects on overall satisfaction. And educational contents and brand recognition were found to have positive effects on trust and commitment. And trust and overall satisfaction were found to have mediating effects on repurchase intention.

• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.21-29
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• 2018

The purpose of this study is to explore supporting strategies for teaching and learning based on students' effect recognition and continuous intention in college flipped learning. It was analyzed 426 data by multivariate analysis of variance (MANOVA) by examining student's effect recognition and continuous intention on 15 flipped learning classes of K-university in Chungnam. The characteristics of learners were male, senior students, students who knew flipped learning, students who did not have previous experience, and students who were learning video at anytime. As a teaching strategy, it was found that effect recognition and continuous intention were high in the supplementary deepening flipped learning class and natural science or engineering area. As a teaching and learning supporting strategies, First, the university should develop and operate flipped class learning strategy program for females and low-grade students. Second, it should support the development of good flipped learning design and operation model of instructor. Third, it should support the development of high quality online learning contents that students can learn from time to time. Fourth, it should support the strengthening of teaching competency to develop and operate flipped learning classes. This study can be used as basic data to support and spread the effective flipped learning classes of the university in the future.

• The Journal of Korean Association of Computer Education
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• v.18 no.1
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• pp.55-68
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• 2015

The purpose of the study is to examine a structural relationship among mobile self-efficacy, mobility, perceived ease of use, perceived usefulness, and intention to use of a mobile learning service using technology acceptance model. The result revealed that mobile self-efficacy, mobility had a direct effect on perceived ease of use. Second, mobile self-efficacy, mobility, perceived ease of use had a direct effect on perceived usefulness. Third, mobile self-efficacy, mobility, perceived usefulness had a direct effect on intention to use of a mobile learning service. However, perceived ease of use did not have a effect on behavioral intention of mobile learning service.

• Journal of Digital Contents Society
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• v.18 no.5
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• pp.869-879
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• 2017

This study identifies the effects of HTML5 service quality on the use intention of smart learning and present the policy implications through empirical studies. This study select assurance, reliability, tangibles, responsiveness, empathy as independent variables of HTML5 service quality and also select perceived usefulness, degree of perceived ease of use as parameters and select use intention of smart learning as dependent variables. The control variables such as learning devices, service, learning place, use age, use times are adapted. As a result of analysis by applying the structural equation model, it was estimated that the reliability of HTML5 service quality, tangibles affect negatively on perceived ease of use, but reliability, assurance, tangibles, empathy, responsiveness of HTML5 service affect positive impacts on perceived usefulness, and also certainty, empathy, responsiveness was identified as positive impacts on the perceived ease of use. It was proven that perceived ease of use effect positive on the perceived usefulness and also usefulness or ease to use have positive effects on the usage intention of users.