• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.685-696
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• 2022

This study explores convergence curriculum for design and data science, and applies data science knowledge on undergraduate design classes for designer's data literacy. First, related studies about data literacy education for non-data science major's, and data driven design project cases are explored, then design competency and data competency based on NCS are studied. Then this study developed 3 step design-data convergence curriculum model for designers' data literacy. The curriculum model is applied on case study classes, which are Big data and UX design(2) classes. The learning results and student's feedback of the case study classes are collected and analyzed to prove the design-data convergence curriculum, and the results provide findings and implications of the design-data convergence class case study.

• Human Ecology Research
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• v.55 no.5
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• pp.555-566
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• 2017

This study analyzes the practical tasks and required competency for technical designers to provide basic data on the training of domestic technical designers. The survey was applied to 21 technical designers of big vendors as well as investigated tasks, task flow, important tasks, time-consuming tasks, and required competencies. The results of the study are as follows. First, the technical designers were in charge of several brands of buyers and distributors of fashion companies, or several lines of the same brand. The main production items were cut and sewn knits. Second, the flow of task and tasks were in the order of buyer comments analysis, sloper decision to matching style, sewing specification, productive sewing method research, size specification suggestion, pattern correction comments, construction decision to matching style & fabric, sample evaluations, fit approval, business e-mail writing, specification & grading confirmation, and communication with buyer. Third, five tasks (analysis of buyer comments analysis, communication with buyer, pattern correction comments, productive sewing methods research, sample evaluation) were important and time-consuming tasks. Fourth, reeducation was required in order of sewing, pattern, English, fabric, and fitting. Fifth, competencies to be a technical designers were fitting, pattern correction, size specification & grading, construction & sewing specification, sewing terms & techniques, and communication skills. In conclusion, technical designer training should focus on technology-based instruction, such as sample evaluation, fitting, pattern correction, and productive sewing methods research of cut and sewn knits.

• Journal of Engineering Education Research
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• v.20 no.3
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• pp.25-31
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• 2017

As the world enters the era of the Fourth Industrial Revolution, which is represented by advanced technology, it not only changes the industrial field but also the education field. In recent years, Smart Learning has enriched learning by using diverse forms and technologies that utilize vast amount of information about learners' individual knowledge through the emergence of realistic and intelligent contents that combine high technology such as artificial intelligence, big data and virtual reality and there is an increasing interest in intelligent adaptive learning, which can customize individual education. Therefore, the purpose of this study is to explore intelligent adaptive learning method through recent smart education environment, beyond traditional writing-based communication education which is highly dependent on the competency of instructors. In this study, we analyzed the various learner information collected in the communication course and constructed a concrete teaching and learning method of intelligent adaptive learning based on the instructor's intended smart contents. The result of this study is expected to be the basis of highly personalized teaching and learning method of digital method in communication education which is emphasized in the fourth industrial revolution era.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.480-482
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• 2021

The core competence is an increasingly important concept that should be reflected in school education in the abilities that need to be developed over a lifetime. In this study, we analyzed the relationship between core competence and employment of students who took core competence-based training courses for those who graduated from D-University, and reflected it in the improvement of the D-University education course and the university education policy. We plan to utilize the results of future analysis as a material for raising the employment rate and developing human resources that match the human resources image of D-University.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.618-620
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• 2021

The core competence is further growing in importance as a concept that must be continuously developed by individuals and should be reflected in the school curriculum. In this study, we analyze the relationship between core competence and graduation credits (learning ability) of students who have completed a core competence-centered curriculum for graduates of D-University, and reflect it in the curriculum of D-University and university education policy. The purpose is to improve. We plan to utilize the results of future analysis as materials for human resource development that matches the human resources image of D-University.

• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.251-257
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• 2020

This study comparatively analyzed the differences in the talented human resources perceived by enterprises and job seekers in terms of recruitment trends of companies related to the 4th Industrial Revolution, focusing on 16 factors. The analysis data was collected from enterprises and job seekers related to the 4th Industrial Revolution, and the analysis method was applied to a convergence research methodology that mixes social network analysis and variance analysis using big data type. As a result, several things were verified. First, large enterprises emphasized communication, and small enterprises emphasized competency and confidence. Second, in the manufacturing industry, enterprises emphasized confidence and competence, and job seekers emphasized spec and passion. Third, in the service industry, enterprises emphasized personality and competence, and job seekers emphasized spec and global. Fourth, there was a big difference in talented human resources between enterprises and job seekers according to manufacturing and service industries. Based on these results, we discussed the opening of employment information for enterprises to reduce the recognition mismatch in the talented human resources.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.63-75
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• 2021

It is necessary to respond to rapid technological changes such as the 4th industrial revolution and digital transformation across industries. And, a change in the university education system is necessary in a crisis situation of universities due to the rapid decrease of the school-age population. This study is aimed at practical competency with the ability to apply intelligent information technology to their job fields based on a basic understanding of intelligent information technology rather than advanced competency centered on theory and research. Instead of presenting the curriculum system diagram so that it can be flexibly applied to the design and development of the curriculum for intelligent information technology, training modules according to job and level were presented. In relation to intelligent information technology, a questionnaire was conducted for college professors, and industry experts were conducted on the derived educational modules to reflect the opinions of the industry. Industry experts said that collaboration with PBL, Capstone, and industry is necessary to improve problem-solving and communication skills.

• Journal of agricultural medicine and community health
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• v.11 no.1
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• pp.55-63
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• 1986

In general, patients' health seeking behaviours can be affected by three factors ; psychological factor, economic factor and health delivery system. This study was focused on how the psychological factor affect to health seeking behaviour influenced by the various attitude of residents toward medical resources in their community. A total of 306 households were sampled for the investigation among residents of Banwol-Eup which was an industrial city newly developed. The data has been collected by interview method using close ended questionnaire. The major findings are ; 1) the respondents' attitude toward medical institutions in their community has shown negative responses (rate of negative attitude (a) 81.3%- facilities (b) 40.7% medical expenses (c) 21.1%-kindness of employees of medical facilities (d)59.0%- the degree of thorough explanation to patient on medical examination (e) 58.2%-doctors' practical competency). Above all, they have shown negative response on doctors explanation on results of medical examination and doctors' practical competency. 2) The study indicated a significant difference in health seeking behaviour between the group of positive attitude and that of negative attitude. 3) A big difference between the above mentioned two groups was identified as the attitude toward sub dimension of practical competency.

• Human Ecology Research
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• v.53 no.4
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• pp.391-404
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• 2015

This study examined job satisfaction and relevant variables for multi-cultural family home-visiting educators. The selected study subjects were 192 home-visiting educators who work at Multi-Cultural Family Support Centers in the Seoul, Gyeonggi-do, and Chungcheongnam-do areas. Data analysis was conducted using SPSS ver. 18.0. The main results were as follows. First, the job satisfaction level in multi-cultural family visiting educators stood at 3.29 points, subjects' age, averagely monthly income, marital status, and activity career were shown to influence generally upon job satisfaction, self-efficacy, job stress, and cultural competency. Job satisfaction was high in groups with: a high age, small career, low averagely monthly income, and married. Second, self-efficacy and job stress were big in the job satisfaction of multi-cultural family visiting educators. The same outcome as the existing prior research was indicated. Cultural competency was not significant. Third, an examination of relative influence upon job satisfaction in home visiting educators indicated that the explanation power was 29.0%. Significant influential variables included academic background, marital status, self-regulation, and role ambiguity. Self-regulation was greater for those with lower academic backgrounds and unmarried. Job satisfaction was higher in the lower role ambiguity. Thus, the same outcome as the existing prior research was indicated. Cultural competency wasn't indicated to be significant. This has significance in having shown characteristics of job satisfaction in multi-cultural family visiting educators.

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.1-20
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• 2022

As the global business environment is rapidly changing due to the 4th industrial revolution, new jobs that did not exist before are emerging. Among them, the job that companies are most interested in is 'Data Scientist'. As information and communication technologies take up most of our lives, data on not only online activities but also offline activities are stored in computers every hour to generate big data. Companies put a lot of effort into discovering new opportunities from such big data. The new job that emerged along with the efforts of these companies is data scientist. The demand for data scientist, a promising job that leads the big data era, is constantly increasing, but its supply is not still enough. Although data analysis technologies and tools that anyone can easily use are introduced, companies still have great difficulty in finding proper experts. One of the main reasons that makes the data scientist's shortage problem serious is the lack of understanding of the data scientist's job. Therefore, in this study, we explore the job competencies of a data scientist by qualitatively analyzing the actual job posting information of the company. This study finds that data scientists need not only the technical and system skills required of software engineers and system analysts in the past, but also business-related and interpersonal skills required of business consultants and project managers. The results of this study are expected to provide basic guidelines to people who are interested in the data scientist profession and to companies that want to hire data scientists.