• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.281-286
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• 2019

The purpose of the present study was to investigate pre-service early childhood teachers experiences in major-associated service-learning. The participants were eight sophomores in I University and participated in major-associated service-learning during the Spring semester, 2018. They were asked to write journals about their experiences before, during, and after service-learning activities. As results, pre-service early childhood teachers reported that they realized the value of service-learning, learned the importance of concrete preparation and professional operation of activities, and experienced the enhancement of teaching efficacy.

• Culinary science and hospitality research
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• v.22 no.1
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• pp.141-152
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• 2016

Recently, not only development of curriculum associated directly with job, the development of new education model is in great need. So, the purpose of this study is to develop the instructional design guideline utilizing goal-based scenario(GBS) for college students who major in culinary arts. First, to achieve this goal, we recognized the 7 core elements(learning goal, mission, cover story, role activity, scenario operating, resource, feedback) composing GBS through literature review and case study. Second, we drew a conclusion about the problem and guideline for traditional culinary practice course by conducting inspection about culinary practice environment and needs with professors who are teaching culinary arts. Third, we applied the instructional design guideline for culinary practice to regular classes according to GBS's factors, and then we did formative evaluation with content experts and educational technology expert. Finally, we designed the final instructional design guideline for culinary practice by modifying early model reflected the result of formative evaluation. The results of this study are as following. First, when we applied GBS to culinary practice, professors have to focus on process of materialization by developing easy scenario to students. Also, they have to prepare the class circumstance to feel about sense of realism in advance. Second, to give a conjugally new skill at working, professors's effort is important. culinary practice education at college has responsibility to carry out the vocational training that has competitiveness and difference with labor market's needs. Therefore, it is necessary for us to develop the teaching and learning model for culinary practice which is suitable for major based on the manpower demand for industry without causing job mismatch from demand for industry.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.1-19
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• 2019

Artificial intelligence (AI) is one of the main driving forces leading the Fourth Industrial Revolution. The technologies associated with AI have already shown superior abilities that are equal to or better than people in many fields including image and speech recognition. Particularly, many efforts have been actively given to identify the current technology trends and analyze development directions of it, because AI technologies can be utilized in a wide range of fields including medical, financial, manufacturing, service, and education fields. Major platforms that can develop complex AI algorithms for learning, reasoning, and recognition have been open to the public as open source projects. As a result, technologies and services that utilize them have increased rapidly. It has been confirmed as one of the major reasons for the fast development of AI technologies. Additionally, the spread of the technology is greatly in debt to open source software, developed by major global companies, supporting natural language recognition, speech recognition, and image recognition. Therefore, this study aimed to identify the practical trend of AI technology development by analyzing OSS projects associated with AI, which have been developed by the online collaboration of many parties. This study searched and collected a list of major projects related to AI, which were generated from 2000 to July 2018 on Github. This study confirmed the development trends of major technologies in detail by applying text mining technique targeting topic information, which indicates the characteristics of the collected projects and technical fields. The results of the analysis showed that the number of software development projects by year was less than 100 projects per year until 2013. However, it increased to 229 projects in 2014 and 597 projects in 2015. Particularly, the number of open source projects related to AI increased rapidly in 2016 (2,559 OSS projects). It was confirmed that the number of projects initiated in 2017 was 14,213, which is almost four-folds of the number of total projects generated from 2009 to 2016 (3,555 projects). The number of projects initiated from Jan to Jul 2018 was 8,737. The development trend of AI-related technologies was evaluated by dividing the study period into three phases. The appearance frequency of topics indicate the technology trends of AI-related OSS projects. The results showed that the natural language processing technology has continued to be at the top in all years. It implied that OSS had been developed continuously. Until 2015, Python, C ++, and Java, programming languages, were listed as the top ten frequently appeared topics. However, after 2016, programming languages other than Python disappeared from the top ten topics. Instead of them, platforms supporting the development of AI algorithms, such as TensorFlow and Keras, are showing high appearance frequency. Additionally, reinforcement learning algorithms and convolutional neural networks, which have been used in various fields, were frequently appeared topics. The results of topic network analysis showed that the most important topics of degree centrality were similar to those of appearance frequency. The main difference was that visualization and medical imaging topics were found at the top of the list, although they were not in the top of the list from 2009 to 2012. The results indicated that OSS was developed in the medical field in order to utilize the AI technology. Moreover, although the computer vision was in the top 10 of the appearance frequency list from 2013 to 2015, they were not in the top 10 of the degree centrality. The topics at the top of the degree centrality list were similar to those at the top of the appearance frequency list. It was found that the ranks of the composite neural network and reinforcement learning were changed slightly. The trend of technology development was examined using the appearance frequency of topics and degree centrality. The results showed that machine learning revealed the highest frequency and the highest degree centrality in all years. Moreover, it is noteworthy that, although the deep learning topic showed a low frequency and a low degree centrality between 2009 and 2012, their ranks abruptly increased between 2013 and 2015. It was confirmed that in recent years both technologies had high appearance frequency and degree centrality. TensorFlow first appeared during the phase of 2013-2015, and the appearance frequency and degree centrality of it soared between 2016 and 2018 to be at the top of the lists after deep learning, python. Computer vision and reinforcement learning did not show an abrupt increase or decrease, and they had relatively low appearance frequency and degree centrality compared with the above-mentioned topics. Based on these analysis results, it is possible to identify the fields in which AI technologies are actively developed. The results of this study can be used as a baseline dataset for more empirical analysis on future technology trends that can be converged.

• Health Policy and Management
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• v.21 no.1
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• pp.115-131
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• 2011

Several common issues are encountered by countries - Germany, Japan, and the United States - that adopted long-term care (LTC) system. First, the demand for LTC and its associated costs have steeply risen following the implementation of the LTC policy. Second, ensuring the quality of services have been difficult. Third, the coordination of services among providers and between LTC and medical care has been inadequate. Learning from their experience, we suggest ways to improve the LTC system in Korea. The basic approach aims for efficiency over equity in the system. This would require promoting provider competition and consumer choice. We propose several policy options according to the major stakeholders. For consumers, cash benefits at fixed rates and personal savings accounts are feasible options to self-contain the demand and cost of services. On the insurer's side, creating an environment of multiple insurers will engender competition, leading to cost savings and quality care. For providers, delivery of quality services through competition, cost-containment through capitated reimbursements, and coordination of services through integrated delivery system can be achieved. From the assessors' perspective, establishing an information system to monitor the activities of insurers and providers would be important, empowering consumers with information to choose cost-effective service providers. In summary, the suggested approach would provide cost-effective LTC services by guaranteeing consumer choice and promoting major stakeholder accountability. Further studies are needed to test the feasibility of this model in ensuring quality LTC in Korea.

• Korean Journal of Comparative Education
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• v.24 no.6
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• pp.163-185
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• 2014

Along with concerns about deteriorating social and economic status of teachers around the world, Master Teacher System(MTS) has been considered as one of the alternatives to transform teaching profession into a more attractive job. In this study, the conditions and problems associated with the MTS in China is analyzed to draw implications for South Korea, which recently legalized the MTS. Research framework including four research questions is developed based on the controversies surrounding MTS of South Korea. The main findings show that the MTS in China was introduced to improve teachers' social and economic status along with the quality of prospective teachers. A very small number of master teachers are selected through rigorous standards including longer service period. They are given additional monetary and non-monetary compensations in return for their teaching-learning leadership and responsibilities. As highly respected educators, they enjoy the lifelong benefits, although they are annually evaluated. It is evident that the MTS has contributed to improving the attractiveness of teaching profession in China. Nevertheless, there are many problems associated with selection standards and methods of master teachers, their roles, compensation, evaluation and terms of service. Recent criticism due to changing circumstances surrounding education in China makes the MTS more questionable. Based on the findings, major implications for future directions of MTS of South Korea are drawn and suggested.

• Therapeutic Science for Rehabilitation
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• v.13 no.1
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• pp.49-63
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• 2024

Objective : The purpose of this study was to investigate parental perspectives on cognitive rehabilitation using a combination of phenomenological research methodology and word cloud analysis. Methods : Interviews were conducted with five parents of children with developmental disabilities. Word cloud analysis was conducted using Python, and five researchers analyzed the meaning units and themes using phenomenological methods. Words with high frequency were considered as a heuristic tool. Results : A total of 43 meaning units and nine components related to the phenomenon of cognitive rehabilitation were derived, and three themes were finalized. The main themes encompassed the definition of cognitive rehabilitation, challenges associated with cognitive rehabilitation, and factors influencing the selection of a cognitive rehabilitation institute. Cognitive rehabilitation emerged as a treatment focused on improving learning, daily functioning, and cognitive abilities in children with developmental disabilities. The perceived issues with cognitive rehabilitation pertained to treatment methods, therapist expertise, and associated costs. In addition, parents highlighted the importance of therapist expertise, humane personality, and affordability of cost and schedule when choosing a cognitive rehabilitation institute. Conclusion : Parents expressed expectations for substantial improvements in their children's daily functioning through cognitive rehabilitation. However, challenges were identified in clinical practices. Going forward, we expect that cognitive rehabilitation will evolve into a better therapeutic support service addressing the concerns raised by parents.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.341-348
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• 2019

The purpose of this study was to develop voluntary learning (talent donation) program as a liberal art lecture for students in G university to cultivate consideration towards others and community life. The title of the liberal education course that was developed was decided as "Beauty Talent Donation". The course objectives were to develop consideration for others and sociality required for community life as well as foster awareness of sharing and develop creative leaders equipped with outstanding characters through cosmetology voluntary service associated education. The final development of education contents were completed over 3 stages including preparation, development, and supplemented development and the major components consist of understanding talent donation, beauty theories, and beauty skills. For the assessment of the learners, absolute evaluation was applied so that personal goals can be achieved through the course instead of evaluating learners' learning capabilities with relative evaluation. Accordingly, a pass or fail system was designed. The beneficiary institution of talent donation was selected based on the following conditions. It is located within a short distance from the educational institution, walking distance for the learners, easy to recruit subjects to receive the support, and accurately understands the purpose of the lecture and willing to cooperate.