• International Journal of Computer Science & Network Security
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• 제24권8호
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• pp.184-190
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• 2024

The research involved children and parents of primary school-aged children with cognitive development disorder, as well as scientific and pedagogical workers who organized the psychological and pedagogical principles for organizing distance learning. The purpose of the research lies in establishing how effectively children, parents and their teachers cope with online distance learning during the pandemic, as well as investigating the extent to which such educational technology affects the emotional and behavioural state of the child. The research methodology is based on complexity. In the course of the research, the method of pedagogical experiment was used; observation and questionnaire methods were also introduced; the descriptive method, analysis and synthesis were used to review the theoretical material. The hypothesis lies in the fact that distance online education increases academic difficulties, changes the behavioural and emotional picture of a child with cognitive development disorder; consequently, the behaviour and emotional background will be limited by certain parameters, and this requires the active involvement of parents and teachers in the distance work process. The results of the research have revealed that distance education causes a number of restrictions for children with cognitive development disorder, namely: concentration of attention has decreased, anxiety has increased, and sleep has worsened. Behavioural changes predicted increased restlessness and aggression. Parents and teachers have had methodological, academic and everyday difficulties; all participants in the educational process have been more limited in the conditions of online distance learning. difficulties and improving the behaviour and emotional states of all participants in the educational process.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제20권12호
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• pp.83-93
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• 2019

The purpose of this study is to suggest implications for maximizing the effectiveness and efficiency of IPP work-learning by studying the effects of the personal characteristics of trainees and firm's field teacher on trainees' employability. The following conclusions were drawn by verifying the causal relationship between factors based on a questionnaire (157 copies) distributed to 200 trainees (learning workers) of 9 universities participating in IPP work-learning training. First, in order to increase the employability of IPP trainees, it is necessary to select trainees with strong core competencies and failure tolerance by verifying individual characteristics of trainees. Secondly, companies should appoint senior staff with strong leadership and teaching capacity as corporate field teachers, and corporate field teacher training institutions should reinforce the training to improve their leadership. Third, work-learning companies should be selected as those with high social integration and absorption capacity, and those companies should try to build an organizational culture of acquiring and learning new technologies. The results of this study are expected to contribute to enhancing the effectiveness of work-learning training by establishing a training system that can systematically select trainees and participating companies and enhance the training capacity of companies and field teachers.

• Journal of Service Research and Studies
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• 제11권2호
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• pp.37-66
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• 2021

This study aims to provide self-development opportunities to hair salons service workers through e-learning and provide the foundation of sustainable hair salons management by cultivating good talents to hair salons service business executives. In particular, the factors affecting e-learning achievement are identified according to learner characteristics to see whether these factors affect the satisfaction of e-learning learners and also affect the performance of management. The results of the study are summarized as follows. As a result of hypotheses testing on the relationship between e-learning learning environment and e-learning satisfaction, it was found that the higher the level of e-learning content quality is, the higher the satisfaction of e-learning is, the higher the satisfaction of e-learning is, and that the higher the quality level of the support infrastructure is, the higher the satisfaction of e-learning is. The results of the hypotheses testing on the moderating effect of learner factors showed that the influence of the quality of the support infrastructure on the e-learning satisfaction differs according to the level of the learner's goal consciousness. However, it was found that the influence of content quality on e-learning satisfaction according to the level of the learners goal awareness, the influence of content quality on e-learning satisfaction according to the level of the aggressiveness of the learners learning attitude, and the influence of the quality of the support infrastructure on the e-learning satisfaction according to the level of the aggressiveness of learners learning attitude were found to identically demonstrate no moderating effects. The results of hypotheses testing on the relationships among e-Learning performance show that the higher the satisfaction of e-learning was, the higher the customer orientation was, and the higher the satisfaction of e-learning was, the higher the contribution of management performance was, and the higher the customer orientation was, the higher the contribution of management performance was. The implications of this study are as follows. First, the actual path of realiting e-learning performance could be identified that is this study provided organizational decision makers involved in the hair salons service operations with practical guidance for the introduction and expansion of successful educational systems. Second, the e-learning environment derived from the theoretical background is different from the e-learning environment required by the learners.

• The Journal of Bigdata
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• 제8권1호
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• pp.49-59
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• 2023

There are various items in the safety and health standards of the manufacturing industry, but they can be divided into work-related diseases and musculoskeletal diseases according to the standards for sickness and accident victims. Musculoskeletal diseases occur frequently in manufacturing and can lead to a decrease in labor productivity and a weakening of competitiveness in manufacturing. In this paper, to detect the musculoskeletal harmful factors of manufacturing workers, we defined the musculoskeletal load work factor analysis, harmful load working postures, and key points matching, and constructed data for Artificial Intelligence(AI) learning. To check the effectiveness of the suggested dataset, AI algorithms such as YOLO, Lite-HRNet, and EfficientNet were used to train and verify. Our experimental results the human detection accuracy is 99%, the key points matching accuracy of the detected person is @AP0.5 88%, and the accuracy of working postures evaluation by integrating the inferred matching positions is LEGS 72.2%, NECT 85.7%, TRUNK 81.9%, UPPERARM 79.8%, and LOWERARM 92.7%, and considered the necessity for research that can prevent deep learning-based musculoskeletal diseases.

• The Journal of the Korea Contents Association
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• 제10권8호
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• pp.26-31
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• 2010

This research does focus on realization of customizing recommendation service that all of formal, or informal learning is accomplished at real time according to worker's current situation or business context corresponding with the individual ability and the learning progress at industry or education field. For this, we designed the customizing intelligent recommendation system based on compound knowledge that workers can listen to coaching advices at real time and to retrieve and recommend multidimensional relation easily. Also, we constructed the repository based on compound knowledge and process engine for efficient management of compound knowledge. In specific industry, expert solution or coaching service will be created using the knowledge which is accumulated in long-term.

• Journal of Korean society of Dental Hygiene
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• 제20권4호
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• pp.409-419
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• 2020

Objectives: This study is intended to provide a basic resource on the role of dental hygienists. It also intends to establish the identity of future dental hygienists by analyzing the clinical roles of currently practicing dental hygienists through the perspectives of dental hygiene students. Methods: The analysis was performed using the phenomenological method, and it involved 11 participants enrolled between November 20, 2019 and January 20, 2020. Methods: The analysis was done in the phenomenological method on total 11 participants from November 20, 2019 to January 20, 2020. Results: They were exposed to various types of learning. They did not have a sense of belonging, and they experienced the burden of self-learning. They experienced work burden beyond the legal work boundary and a lack of infection control by clinical institutions. They were not respected as professional workers, and they had poor working conditions. Their expertise was not recognized. Conclusions: This study will facilitate appropriate awareness and establish the identity of dental hygienists by critically evaluating their challenges and working conditions and presenting alternatives.

• Journal of Engineering Education Research
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• 제23권5호
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• pp.26-39
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• 2020

The purpose of this study was to compare and analyze the employment rate of engineering graduates in the last eight years (2011-2018) by gender and majors. Using the statistical yearbook for employment of higher education graduates provided by the Korea Educational Development Institute (KEDI), the employment rate and retained employment rate of engineering graduates were investigated. As results, first, the employment rate has been decreasing since 2011, and the gender employment rate gap has not narrowed and women have always been lower than men. Second, most of the engineering graduates were workers with employee health insurance. On the other hand, women were higher than men in works with self-employee health insurance. Third, from 2016 to 2018, the retained employment rate of engineering graduates was similar, and as the survey progressed, the retained employment rate decreased. In particular, women had lower retained employment rate than men. The study is meaningful in that it suggested ways to bridge the gap between gender and majors employment rates of engineering graduates.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.609-611
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• 2022

LMS is software that automatically manages educational and learning activities, and is being used in most educational institutions these days when online education is increasing due to the spread of Corona. LMS covers a wide range of methods that are so versatile that they can be used in connection with offline classes as well as online classes. Therefore, it was confirmed that the software is useful not only for educational institutions but also for office workers who want to do online work such as telecommuting during the period of social distancing. This LMS function will be of great help to the development of the education market and online classes in the future.

• Korean Journal of Clinical Pharmacy
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• 제33권2호
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• pp.81-85
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• 2023

Background: It was to describe collaborative educational efforts under Coronavirus disease 2019 period to advocate pharmacy-based immunization delivery and meet unmet needs of partnership institution using virtual learning platforms. Methods: A partnership was established among three pharmacy schools from two countries. The class content included the history of pharmacy immunization, pharmacists' roles and contribution to public health of the USA. The class also reviewed the value of pharmacists as frontline healthcare workers to foster student insights and the scope of pharmacy. The virtual class featured an interactive video simulation and small breakroom discussion besides a lecture. Results: Participants indicated that public accessibility to pharmacy and six-year education system in South Korea as advantages. However, legislative restrictions, pharmacist burden, and interprofessional disagreements were expressed as barriers to introduce the pharmacist immunization. Conclusion: A virtual learning platform was used to advocate for pharmacy-based immunization and fulfilled an unmet educational gap at a partnership institution.

• International conference on construction engineering and project management
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.744-751
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• 2022

Construction is among the most dangerous industries with numerous accidents occurring at job sites. Following an accident, an investigation report is issued, containing all of the specifics. Analyzing the text information in construction accident reports can help enhance our understanding of historical data and be utilized for accident prevention. However, the conventional method requires a significant amount of time and effort to read and identify crucial information. The previous studies primarily focused on analyzing related objects and causes of accidents rather than the construction activities. This study aims to extract construction activities taken by workers associated with accidents by presenting an automated framework that adopts a deep learning-based approach and natural language processing (NLP) techniques to automatically classify sentences obtained from previous construction accident reports into predefined categories, namely TRADE (i.e., a construction activity before an accident), EVENT (i.e., an accident), and CONSEQUENCE (i.e., the outcome of an accident). The classification model was developed using Convolutional Neural Network (CNN) showed a robust accuracy of 88.7%, indicating that the proposed model is capable of investigating the occurrence of accidents with minimal manual involvement and sophisticated engineering. Also, this study is expected to support safety assessments and build risk management systems.