• The Journal of Asian Finance, Economics and Business
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• v.7 no.4
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• pp.259-265
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• 2020

The study aims to define the career competency of HRD practitioners based on an intelligent career framework. This intelligent career framework has been described as having been achieved by the accumulation of career capital through the three ways of knowing, including knowing why, knowing how, and knowing with whom. The data were collected from the interviews with 15 HRD practitioners. Semi-structured interviews were used to collect data from the HRD practitioners. For the orientation about the interview, the researcher explained the importance of gathering data about the personal experiences of the respondents on their work and career. After that explanation, the researcher asked several questions based on the pre-structured interview guide. The data collected were qualitatively analyzed on the basis of the intelligent career framework. Based on the analysis of the interviews, the subcategories of each way of knowing competency were identified. For the knowing why, identity, credibility, and career clarity were identified. The subcategories of knowing how are remaining updates, hard skills, and soft skills, while the subcategories of knowing with whom are personal networking and professional networking. The interdependency among the three career competencies was found. The findings provide theoretical implications of applying an intelligent career framework.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.317-326
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• 2020

Previous studies have suggested that individuals need to invest in the accumulation of career competencies. To demonstrate how to acquire career competencies, a model consisting of the knowing why, knowing how, and knowing whom competencies was actively discussed in the previous studies. This study seeks to identify the relationships among these competencies based on three ways of knowing, and their effects on perceived work performance. Furthermore, this study tried to identify the importance of each of these competencies in predicting perceived individual performance in the business workplace environment. The findings showed that the knowing why, knowing how, and knowing whom competencies all have a statistically significant positive influence on perceived individual work performance. Also, the study results showed the relative importance of the three competencies for perceived work performance. Specifically, the study results showed that the effects of the knowing why and knowing whom competencies are greater than the effect of the knowing how competency. The theoretical and practical implications of the study results were provided, including empirical evidence of the validity of the career capital model, the appropriateness of the career competency model based on the three ways of knowing, and assignment of resources for the acquisition of career competencies.

• Informatization Policy
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• v.26 no.4
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• pp.62-84
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• 2019

The purpose of this study is to present improvement measures for youth activity policies that can change the youth activity programs, equipment and facility operation and leaders in order to cultivate youth capacities suitable for the intelligent information society. For this purpose, we conducted a literature study on the direction of youth activity policy changes with the forecasted social changes in the intelligence information society and an online survey and expert opinion surveys to identify how youth activity facilities are currently coping with the changes and to explore measures to improve youth activity policies. The research identified 17 policy tasks - 9 tasks for the program area, including 1) increase of intelligent information technology related programs, 2) increase of contents related to career resilience in career experience and training programs, and 3) systematic introduction and diffusion of STEAM and Maker education programs; 5 tasks for the equipment and facility operation area, including 1) strengthening cooperation network with external organizations related to the intelligent information technologies, 2) expansion of AR and VR technology application in activity program development, improvement and operation, and 3) big data building in the field of youth activities; and 3 tasks for the leaders area, including 1) extension of information provision on the intelligent information society to the leaders of the activity facilities, and 2) development of job models related to the intelligent information society and job training.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.2
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• pp.144-150
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• 2013

The purpose of this study was to evaluate the competence level of the caregiver and verify empirically the evaluated score of the competence level of the caregiver depending on the type of career and employment to propose a measure to improve the quality of care services. To more accurately evaluate the competence level of caregiver, the collected data were analyzed using fuzzy relationships for identifying the extent of relationship, after setting weighted values for the evaluation factors for working levels and service qualities. Such approach has a significance in that individual evaluation factors and individual's competence levels for caregivers may be more suitably and exactly identified. The analysis results are as follows. Care skill, reliability, assurance, typicality were statistically significant according to the caregiver's career. Also, according to the types of employment, job consciousness, responsiveness, empathy, typicality were statistically significant. To improve the competence level of the caregiver, it may be seen that improvement of job consciousness considering the career and employment types and making environments for acquiring the care skills should be done, while providing stability of the employment types rather than careers is more meaningful to improve the quality of services.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.8
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• pp.1055-1060
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• 2018

In the wake of the 4th Industrial Revolution, the problem of career education in schools has become a big issue. While various studies are being conducted on services or technologies to effectively handle artificial intelligence and big data, in the field of education, data on students is simply processed. Therefore, in this paper, we are going to design and present career prediction programs for students using artificial intelligence and big data. Using observational data from students at the institute, the decision tree is constructed with the C4.5 algorithm known to be most intelligent and effective in the decision tree and is used to predict students' path of hope. As a result, the coefficient of kappa exceeded 0.7 and showed a fairly low average error of 0.1 degrees. As shown in this study, a number of studies and data will be deployed to help guide students in their consultation and to provide them with classroom attitudes and directions.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.6
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• pp.768-774
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• 2008

This paper implements a information management system for a bullfights using RFID technology in which the objects containing electronic tag are automatically identified by using radio frequency wave. The presented system is composed of the information systems for career and train, and the real-time informant system to provide various informations to remote bull breeders and administers. As the first step for implementation, we analyze the requirements for information management systems based on the RFID and suggests design considerations. Based on the analysis, we implement an efficient RFID middleware system for tracking a tag location based on antenna transfer method and managing an intelligent tag information which efficiently manages a bullfight informations in field. And we also implement the web-based integrated management system for managing and providing a bullfight informations. The career management system sequentially recognizes a tags, and the training system concurrently recognizes the man tags.

• Journal of Veterinary Science
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• v.24 no.6
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• pp.81.1-81.12
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• 2023

Background: The incidence of colic and the outcomes of colic surgery have not been surveyed in racetracks in Korea. Objectives: This study examined the incidence, mortality, and case fatality of colic and investigated the effects of age and sex after an exploratory celiotomy on the long-term survival rate (return to racing), subsequent racing performance, and career longevity. Methods: The incidence, mortality, and case fatalities of colic were examined over an 11-year period. The records of 40 horses that had undergone a celiotomy, after participating in at least one race and 75 race-matched control horses were analyzed. The racing performance and career length of the horses that returned to racing post-surgery were compared with a control group. Results: The annual incidence, fatality rate of colic, and annual mortality rate at Seoul Racecourse were 6.5, 2.8 per 100 horse-years, and 0.2 deaths cases per 100 horse-years, respectively. Of the 40 horses that underwent colic surgery, 26 (65%) returned to racing. The likelihood of returning to racing decreased with increasing age of the horses, and geldings had a lower probability of returning. While the performance in the five preoperative races between the two groups was not significantly different, a significant decrease in racing performance was observed after the surgery date (p < 0.01). Horses that underwent colic surgery did not show a significant decrease in career length. Conclusions: Surgical treatment for colic at the age of three and four years had a negative impact on the racing performance. On the other hand, there was no significant difference in career longevity between the two groups.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.75-78
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• 2008

본 논문에서는 싸움소의 체계적인 관리를 위해 RFID 기술 기반 싸움소 이력관리를 위한 시스템을 구현하였다. 이를 위해 먼저 싸움소의 사육 및 훈련 정보들을 분석 검토하고, 이를 바탕으로 실시간으로 필드의 싸움소에 대한 사육 및 훈련 정보들을 분석 검토하고, 이를 바탕으로 실시간으로 필드의 싸움소에 대한 사육 및 훈련 정보를 효율적으로 관리할 수 있는 RFID 미들웨어 시스템과 인터넷 기반으로 사육, 훈련, 전적 등의 정보를 통합 관리 및 제공할 수 있는 RFID 서버 시스템을 설계${\cdot}$구현하였다. 이력관리 시스템에서는 Tag의 순차적이 인식을 기반으로 하였으며, 전적정보 관리시스템에서는 동시에 다수의 Tag 인식이 가능하도록 하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.332-335
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• 2018

In recent years, artificial intelligence using big data has become a big issue in IT. Various studies are being conducted on services or technologies to effectively handle big data. The educational field, there is big data about students, but it is only a simple process to collect, lookup and store such data. In the future, it makes extensive use of artificial intelligence, machine learning, and statistical analysis to find meaningful rules, patterns, and relationships in the big data of the educational field, and to produce intelligent and useful data for the actual students. Accordingly, this study aims to design a program to predict the career of students using a decision tree algorithm based on the data from the student's classroom observations. Through a career prediction program, it is believed to be helpful to present application paths to students ' counseling and to also provide classroom behavior and direction based on the desired courses.

• Journal of the Korean earth science society
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• v.35 no.5
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• pp.375-384
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• 2014

The number of students choosing science, technology, engineering, and mathematics (STEM) related careers are declining. Thus it became a worldwide challenge in the $21^{st}$ century. As public images of the engineers are unfavorable and inaccurate, misconceptions and stereotypes about engineers are prevailing. The purpose of this study was to investigate elementary school students' perceived mental and pictorial images of engineers and the nature of engineering work. This study involved 512 fifth and sixth grade students (Boys: 287 and Girls: 225) from four elementary schools at one of metropolitans in South Korea. The Draw An Engineer-Korean version (DAE-K) was developed based on Draw an Engineer (DAE) and Draw a Scientist (DAS), and Song and Kim (1999)'s instruments. A pilot-tested was conducted with 33 elementary students prior to the main study. The students were asked to answer how they think the engineers would be, to draw an engineer at work, and to write the engineer's personal information and the job description. Engineers were perceived as a person fixing, building, manufacturing, working outdoors in labors' clothes such as a robe. Engineers were shown with building tools, robots, airplanes, machines, conveyor belt, etc. Moreover, compared to the scientists, engineers were perceived as less intelligent, less imaginative, and less accurate. The results of this study revealed that elementary school students had a lack of accurate images of engineers. Students' current perceived images of engineers could help educators find the baselines for the future engineering education in elementary schools. In addition, the findings of this study could also contribute to the development of engineering education in terms of gender issues, STEM career choice, and even cultural diversity.