• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.116-130
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• 2020

The purpose of this study is to examine the effects of childcare teacher's professional recognition, learning agility, and positive psychological capital on job satisfaction in order to suggest policies that required for child care teacher's positive performance. For this purpose, an online survey was conducted with 283 in-service nursery teachers in Jeonnam and the results are as follows. First, teachers with more than five years of experience showed higher levels of professional recognition and positive psychological capital. Second, the job satisfaction of child care teachers was highly correlated in order of professional recognition, positive psychological capital, and learning agility. Third, the professional recognition and positive psychological capital of the childcare teachers have positive effects on their job satisfaction. Through this study, it was confirmed that the professional recognition, learning agility, and positive psychological capital of the childcare teachers were significant variables in explaining job satisfaction. Therefore, in order to increase job satisfaction in daycare centers, it is necessary to firmly recognize that they are professional workers by providing training courses and consulting supports. Furthermore, there is a need to allow teachers more autonomy and to reform the hierarchical system in day care places.

• Journal of vocational education research
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• v.35 no.6
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• pp.1-19
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• 2016

This study is to analyze the effect of job relatedness of content in learning, job stress and organization communication on turnover intention and to examine whether the job satisfaction has a mediating effect by using HCCP 2013 panel data. The data was analyzed through Windows SPSS 23.0 program. Major findings of the study were as follows. First, It has significant result that job relatedness of content in learning, job stress and organization communication affects turnover intention. Second, job satisfaction mediates between job relatedness of content in learning and turnover intention. The job relatedness of content in learning level is higher, the turnover intention will be lower through mediating job satisfaction. Third, job satisfaction is also significant effect between job stress and turnover intention. Although the job stress gets higher, the turnover intention can be lower because of job satisfaction. Finally, the relationship between organization communication and turnover intention is mediated by job satisfaction. Therefore, the company should prepare employee's turnover intention to control through this study.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.379-402
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• 2022

The purpose of this study was to verify the effectiveness of the employee metacognition and it's positive effect on employee agility. Also it aims to investigate the mechanism through the cascading multi-mediating effect through the role breadth self-efficacy and learning agility in such a relationship. In order to solve the common-method bias, independent and dependent variables were measured with time lag, and the relationship between variables was clearly verified by applying the position and the length of time worked with the supervisor as control variables. In testing the hypothesis, 478 questionnaires collected from whom worked at the company has more than 300 office workers in various industries were analyzed. As the result, firstly metacognition had a significant positive(+) effect on employee agility. Second, role breadth self-efficacy was found to positively mediate the relationship between metacognition and employee agility. Third, learning agility was found to mediate metacognition and employee agility positively(+). Fourth, metacognition serially mediates role breadth self-efficacy and learning agility, and the positive(+) effect on employee agility was verified. In addition, metacognition had a greater effect on member agility when passing through role breadth self-efficacy and learning agility rather than the direct effect on employee agility.

• Journal of the Society of Disaster Information
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• v.19 no.3
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• pp.498-509
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• 2023

Purpose: This paper proposes a method detecting the falling of a maintenance worker in the underground utility tunnel, by applying deep learning techniques using CCTV video, and evaluates the applicability of the proposed method to the worker monitoring of the utility tunnel. Method: Each rule was designed to detect the falling of a maintenance worker by using the inference results from pre-trained YOLOv5 and OpenPose models, respectively. The rules were then integrally applied to detect worker falls within the utility tunnel. Result: Although the worker presence and falling were detected by the proposed model, the inference results were dependent on both the distance between the worker and CCTV and the falling direction of the worker. Additionally, the falling detection system using YOLOv5 shows superior performance, due to its lower dependence on distance and fall direction, compared to the OpenPose-based. Consequently, results from the fall detection using the integrated dual deep learning model were dependent on the YOLOv5 detection performance. Conclusion: The proposed hybrid model shows detecting an abnormal worker in the utility tunnel but the improvement of the model was meaningless compared to the single model based YOLOv5 due to severe differences in detection performance between each deep learning model

• Journal of Practical Engineering Education
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• v.14 no.3
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• pp.543-553
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• 2022

A collaborative robot(Cobot) is one of the production systems presented in the 4th industrial revolution and are systems that can maximize efficiency by combining the exquisite hand skills of workers and the ability of simple repetitive tasks of robots. Also, research on the development of an efficient interface method between the worker and the robot is continuously progressing along with the solution to the safety problem arising from the sharing of the workspace. In this study, a method for controlling the robot by recognizing the worker's hand signal was presented to enhance the convenience and concentration of the worker, and the safety of the worker was secured by introducing the concept of a safety zone. Various technologies such as robot control, PLC, image processing, machine learning, and ROS were used to implement this. In addition, the roles and interface methods of the proposed technologies were defined and presented for using educational media. Students can build and adjust the educational media system by linking the introduced various technologies. Therefore, there is an excellent advantage in recognizing the necessity of the technology required in the field and inducing in-depth learning about it. In addition, presenting a problem and then seeking a way to solve it on their own can lead to self-directed learning. Through this, students can learn key technologies of the 4th industrial revolution and improve their ability to solve various problems.

• Journal of Internet of Things and Convergence
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• v.6 no.1
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• pp.31-38
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• 2020

This study was intended to verify the parameter effects of empowerment in the effect of social support of the employees of youth training facilities on the quality of service. The purpose of this study was to provide basic data for improving the service quality of youth training facility workers. As a result of this study, first, social support and empowerment had a positive effect on service quality. Second, the partial mediating effect of empowerment can be confirmed. Based on the results of this study, the following suggestions were made. First, for the social support of the employees, the middle managers and facility managers of youth training facilities should use the Internet environment such as the Internet and smart phones. Second, in order to improve empowerment, support for information related to work, material support related to compensation, and evaluation support related to business processing should be provided. Third, to improve the empowerment of workers, it is necessary to augmented reality(AR), virtual reality(VR), and flip learning program using the Internet of Things environment.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.283-293
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• 2015

This study explores experiences of male family care worker who are caring for their family members with chronic health conditions at home. Qualitative methodologies were used; semi-structured in-depth interviews with seven participants. Data were analysed using thematic analysis. Results indicated that men are playing greater roles in the provision of care for family members. Findings are presented as three themes: adaptation of role transformations, development for new relationships, and learning to cope with the unexpected. The results suggest that male family care workers experience changes in the ways that they adapt their traditional roles to the new roles they assume as caregivers. Implications for social workers and other care providers are discussed.

• Journal of Yeungnam Medical Science
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• v.37 no.3
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• pp.210-216
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• 2020

Background: Among the different aims of medical education, the provision of society with skilled, professional, and knowledgeable healthcare workers who maintain and develop their expertise over a lifetime career is important. The achievement of this goal is linked with the professional development of both faculty members and healthcare workers. This study aims to measure the perception of faculty members regarding their views about the goals of faculty development programs, practices and activities, and factors that determine their achievement. Methods: A cross-sectional survey was conducted in multiple universities in the Western region of Saudi Arabia. The participants were given a pre-designed self-administered questionnaire generated from literature. The survey questionnaire consisted of three sections that were designed to assess the faculty members' perception on the faculty development program. Results: A total of 210 faculty members participated in the study. The most important perceived goal was to motivate teachers to become better teachers. The most important perceived practice was establishing a positive climate for teaching and learning. The most important perceived factor was skilled and dedicated staff support. Conclusion: The results of this study demonstrate that faculty members have positive perceptions regarding all aspects of faculty development programs. This study will raise awareness regarding the importance of faculty development programs in sustaining educational vitality. We recommend the implementation and maintenance of comprehensive faculty development programs in Saudi universities.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.147-155
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• 2017

The purpose of this study is to conducted on hotel workers. The results of this study are as follows. First, the relationship between self - efficacy and job performance of employees was analyzed. We distributed 300 questionnaires to domestic L hotel employees. A total of 250 questionnaires were retrieved and 233 copies were used for the final analysis, except for 17 unfair questionnaires. The results showed that hotel workers had a positive influence on self - efficacy. Self - efficacy played a role in the relationship between majors' learning and job performance. Based on the results of the research, we develop an industry-university linkage program. Practical majors will increase the workplace adaptability of employees. And the self - efficacy of the employees will be increased to affect the job performance. In the future, I hope that research on the self-efficacy of hotel employees and post-employment job performance will be carried out in the future.

• Journal of the Korea Institute of Building Construction
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• v.21 no.5
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• pp.397-408
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• 2021

The construction industry has the highest occupational accidents/injuries and has experienced the most fatalities among entire industries. Korean government installed surveillance camera systems at construction sites to reduce occupational accident rates. Construction safety managers are monitoring potential hazards at the sites through surveillance system; however, the human capability of monitoring surveillance system with their own eyes has critical issues. A long-time monitoring surveillance system causes high physical fatigue and has limitations in grasping all accidents in real-time. Therefore, this study aims to build a deep learning-based safety monitoring system that can obtain information on the recognition, location, identification of workers and heavy equipment in the construction sites by applying multiple object tracking with instance segmentation. To evaluate the system's performance, we utilized the Microsoft common objects in context and the multiple object tracking challenge metrics. These results prove that it is optimal for efficiently automating monitoring surveillance system task at construction sites.