• Korean Journal of Childcare and Education
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• v.11 no.6
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• pp.97-114
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• 2015

This study is aimed to determine whether there is any meaningful correlation between predictors and is intended to examine the relative influences that the pedagogical content knowledge of science teaching, scientific attitudes, science teaching intentions have on their science teaching efficacy. The results, showed that the childcare center teachers' pedagogical content knowledge of science teaching, scientific attitudes, science teaching intentions, and science teaching efficacy are all correlated with each other. The teachers' science teaching efficacy are predicted by their scientific attitudes, science teaching intentions, and pedagogical content knowledge of science teaching-learning methods. Specifically, for teachers of 0 to 2-year-olds, their science teaching efficacy is predicted by their science teaching intentions and scientific attitudes. For teachers of 3 to 5-year-olds, their science teaching is affected by their scientific attitudes and their pedagogical content knowledge.

• Journal of Information Technology Services
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• v.22 no.6
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• pp.103-114
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• 2023

In the post-pandemic era, colleges and students keep passion for learning online sine its unique advantages. This study explores how students' basic psychological needs drawn from self-determination theory, connect to interaction, and learning engagement in the context of online learning. While prior research explored students' intentions, digital interactions, and engagement in online learning, this study aims to come up with a united conceptual model drawing the three basic psychological needs and interaction and their effects on learning engagement. 178 response data collected through a questionnaire survey, were analyzed using PLS-SEM. Findings indicate that online learning interaction enhances intrinsic motivation, leading to higher learning engagement. Autonomy emerges as the most influential psychological need on learning engagement. This study integrates self-determination theory with online learning interactions and engagement and offers practical insights. Future research should examine long-term outcomes and diverse student populations.

• Journal of Korea Multimedia Society
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• v.24 no.1
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• pp.21-29
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• 2021

With the recent increase in the number of households raising pets, various engineering studies have been underway for pets. The final purpose of this study is to automatically generate situation-sensitive captions that can express implicit intentions based on the behavior and sound of cats by embedding the already mature behavioral detection technology of pets as basic element technology in the video capturing research. As a pilot project to this end, this paper proposes a high-level capturing system using optical-flow, RGB, and sound information of cat videos. That is, the proposed system uses video datasets collected in an actual breeding environment to extract feature vectors from the video and sound, then through hierarchical LSTM encoder and decoder, to identify the cat's behavior and its implicit intentions, and to perform learning to create context-sensitive captions. The performance of the proposed system was verified experimentally by utilizing video data collected in the environment where actual cats are raised.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.117-127
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• 2023

In many training institutions, the major advancement of Information Technology is having a profound impact on the way in which instructors teach and students learn, as well as how the two interact. The training process is continuing with the goal of enhancing the calibre of instruction and engagement. Top colleges and institutions have more recently developed a variety of Massive Open Online Courses (MOOC) systems centred on the development of new educational offering ways. These have not only captured the interest of students and scholars in the field of higher education, but also that of staff members in the private and public sectors. This study uses a Unified Theory of Acceptance and Use of Technology (UTAUT) model to assess the top MOOC providers and pinpoint the key elements influencing learner acceptance of MOOCs in Saudi Arabian training. A total of 382 government trainees in Saudi Arabia participated in an online survey, the results of which underwent analysis using structural equation modelling. This study identifies the key elements influencing Saudi government employee trainees' intentions to use MOOCs, with the findings indicating that the suggested model can account for 86.2% of user behaviour and 88.5% of user intentions.

• The Journal of Korean Association of Computer Education
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• v.20 no.1
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• pp.87-97
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• 2017

Recently, much research has been done on the turnover and retirement intentions of the organization members as many companies recognize the negative impact of the human resource outflow on the organization. However, most of the studies are conducted in the form of questionnaires, and there is still a lack of studies on the turnover and retirement intentions based on the work life data. In this study, we analyzed the factors affecting the retirement of employees based on the work life profile, and created a retirement prediction model using the machine learning method. As a result, we could identify various factors that were not covered in previous researches. In addition, we have established a basis for research that can provide a solution for the problem of human resource outflow by generating a good performance retirement prediction model.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.909-918
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• 2020

This study, not only investigates the important role of lifelong learning in shaping young people's knowledge and in maximizing their potential, but also aims to shed light on the influencing factors of lifelong learning of young people in Vietnam. The author applied STATA and SPSS to analyze quantitative data collected from questionnaires with 332 respondents aged between 19 years old and 24 years old. Based on a holistic review of literature, this study concludes that four driver factors affect young people's lifelong learning ability, comprising: organizational culture, motivation, human resource development, and domestic private type of enterprise. The results emphasize the positivity of organizational culture, human resource development, and the nature of work, especially organizational culture and human resource development, which are dominant reasons for young people to maintain lifelong learning. The relationship between demographics and lifelong learning was tested and it indicated that male has a stronger interest in learning than female. The result of the study also shows the impact of different types of business sectors on employees' learning intentions. It points out that the domestic private type of enterprise is the most effective factor that has a positive relationship with the lifelong learning of the individual.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.5
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• pp.17-32
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• 2023

The entrepreneurial activities of college students play a significant role in modern economic and social development, particularly as a solution to the changing economic landscape and youth unemployment issues. Introducing innovative ideas and technologies into the market through entrepreneurship can contribute to sustainable economic growth and social value. Additionally, the entrepreneurial intentions of college students are shaped by various factors, making it crucial to deeply understand and appropriately support these elements. To this end, this study systematically explores the importance and impact of role models through a multiple serial mediation analysis. Through a survey of 300 college students, the study analyzed how two psychological variables, growth mindset and entrepreneurial self-efficacy, mediate the influence of role models on entrepreneurial intentions. The presence and success stories of role models were found to enhance the growth mindset of college students, which in turn boosts their entrepreneurial self-efficacy and ultimately strengthens their entrepreneurial intentions. The analysis revealed that exposure to role models significantly influences the formation of a growth mindset among college students. This mindset fosters a positive attitude towards viewing challenges and failures in entrepreneurship as learning opportunities. Such a mindset further enhances entrepreneurial self-efficacy, thereby strengthening the intention to engage in entrepreneurial activities. This research offers insights by integrating various theories, such as mindset theory and social learning theory, to deeply understand the complex process of forming entrepreneurial intentions. Practically, this study provides important guidelines for the design and implementation of college entrepreneurship education. Utilizing role models can significantly enhance students' entrepreneurial intentions, and educational programs can strengthen students' growth mindset and entrepreneurial self-efficacy by sharing entrepreneurial experiences and knowledge through role models. In conclusion, this study provides a systematic and empirical analysis of the various factors and their complex interactions that impact the entrepreneurial intentions of college students. It confirms that psychological factors like growth mindset and entrepreneurial self-efficacy play a significant role in shaping entrepreneurial intentions, beyond mere information or technical education. This research emphasizes that these psychological factors should be comprehensively considered when developing and implementing policies and programs related to college entrepreneurship education.

• International Journal of Contents
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• v.12 no.3
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• pp.47-53
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• 2016

The purpose of this study was to examine how Korean students accept and use mobile-assisted language learning (MALL) and investigate related factors that potentially affect MALL usage. The participants were 244 undergraduate students who were surveyed with a questionnaire. The research model, which included students' self-efficacy, content reliability, interactivity, perceived enjoyment, perceived usefulness, perceived ease of use, attitude, and behavioral intention to use MALL, was developed based on the technology acceptance model (TAM). The structural equation modeling (SEM) technique was employed in order to analyze the overall results of modified TAM and the research model. The results indicated that TAM was a good theoretical tool to understand students' acceptance of MALL. In addition, all constructs, with the exception of self-efficacy and interactivity, had significant effects on students' acceptance possibilities of MALL. Limitations and suggestions for the further study are also presented.

• Korean Journal of Childcare and Education
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• v.17 no.5
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• pp.25-41
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• 2021

Objective: The purpose of this study was to analyze the effect of a director's support for coding education perceived by childcare teachers on the participation of teachers in the learning community and the intention to implement coding education. Methods: The participants of this study were 312 early childhood teachers working at daycare centers in Seoul, Gyeong-gi, and In-cheon area. The data were collected through the survey questionnaires and analyzed using a structural model to explore the relationship between variables. Results: Verifying the mediating effect of infant teacher participation in the learning community between a director's support and infant teacher's intention to implement coding education positively mediates the director's support and infant teacher's intention to implement coding education. In particular, it was discovered that the intention to participate in coding-related learning communities had the greatest impact on infant teachers' intentions to implement coding education based on total effectiveness. Conclusion/Implications: The above analysis results suggest that in order to enhance the intention of infant teachers to implement coding education, it is necessary to support the learning community related to coding education and encourage participation from infant teachers.

• 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.