• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.95-97
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• 2011

The portfolios of students are archives where the studies of the students are recorded during the dates attended and very important data for the employment and the self-management. In the past, the portfolios are written on the papers and managed. However, the papers are easy to be lost and damaged. In this paper, we propose the design of portfolio framework to store and manage the data of portfolio efficiently. The proposed framework is capable of storing and managing students's portfolios using wired or wireless networks. The industries and professors are also easy to search appropriate talented students according to the requirements using the proposed framework.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.247-264
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• 2016

With the rapid acceleration of low-birth rate and population aging, the employment of the neglected groups of people including the middle aged class is a crucial issue in South Korea. In particular, in the 2010s, the number of the middle aged who want to find a new job after retirement age is significantly increasing with the arrival of the retirement time of the baby boom generation (born 1955-1963). Despite the importance of matching jobs to this emerging middle aged class, private job portals as well as the Korean government do not provide any online job service tailored for them. A gigantic amount of job information is available online; however, the current recruiting systems do not meet the demand of the middle aged class as their primary targets are young workers. We are in dire need of a specially designed recruiting system for the middle aged. Meanwhile, when users are searching the desired occupations on the Worknet website, provided by the Korean Ministry of Employment and Labor, users are experiencing discomfort to search for similar jobs because Worknet is providing filtered search results on the basis of exact matches of a preferred job code. Besides, according to our Worknet data analysis, only about 24% of job seekers had landed on a job position consistent with their initial preferred job code while the rest had landed on a position different from their initial preference. To improve the situation, particularly for the middle aged class, we investigate a soft job matching technique by performing the following: 1) we review a user behavior logs of Worknet, which is a public job recruiting system set up by the Korean government and point out key system design implications for the middle aged. Specifically, we analyze the job postings that include preferential tags for the middle aged in order to disclose what types of jobs are in favor of the middle aged; 2) we develope a new occupation classification scheme for the middle aged, Korea Occupation Classification for the Middle-aged (KOCM), based on the similarity between jobs by reorganizing and modifying a general occupation classification scheme. When viewed from the perspective of job placement, an occupation classification scheme is a way to connect the enterprises and job seekers and a basic mechanism for job placement. The key features of KOCM include establishing the Simple Labor category, which is the most requested category by enterprises; and 3) we design MOMA (Middle-aged Occupation Matching Algorithm), which is a hybrid job matching algorithm comprising constraint-based reasoning and case-based reasoning. MOMA incorporates KOCM to expand query to search similar jobs in the database. MOMA utilizes cosine similarity between user requirement and job posting to rank a set of postings in terms of preferred job code, salary, distance, and job type. The developed system using MOMA demonstrates about 20 times of improvement over the hard matching performance. In implementing the algorithm for a web-based application of recruiting system for the middle aged, we also considered the usability issue of making the system easier to use, which is especially important for this particular class of users. That is, we wanted to improve the usability of the system during the job search process for the middle aged users by asking to enter only a few simple and core pieces of information such as preferred job (job code), salary, and (allowable) distance to the working place, enabling the middle aged to find a job suitable to their needs efficiently. The Web site implemented with MOMA should be able to contribute to improving job search of the middle aged class. We also expect the overall approach to be applicable to other groups of people for the improvement of job matching results.

• Journal of Engineering Education Research
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• v.8 no.4
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• pp.5-19
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• 2005

Computer based teaming system has considerable influence upon teaching technique and teaming efficiency. It is possible to make a learner-oriented teaching in the online learning system. In this case, it can provide easily and immediately learner with various information that relate to class status, for example, attendance, examination score and so on. In the case of conventional off-line education, however, it is inefficient to provide the information of class status for learners compared with on-line system. In this paper, we propose a monitoring system of class status which can provide various information of teaming status for learners, instructors and advisors. It is useful to advise student's course work and job. The main purpose of this system is to prepare a monitoring system of class status on a web based e-class system. It achieves self-monitoring systems which provide a feedback data as a result of class for students.

• The Journal of Information Systems
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• v.29 no.2
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• pp.287-306
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• 2020

Purpose Youth unemployment is a social problem that continues to emerge in Korea. In this study, we create a model that predicts the employment of college graduates using decision tree, random forest and artificial neural network among machine learning techniques and compare the performance between each model through prediction results. Design/methodology/approach In this study, the data processing was performed, including the acquisition of the college graduates' vocational path survey data first, then the selection of independent variables and setting up dependent variables. We use R to create decision tree, random forest, and artificial neural network models and predicted whether college graduates were employed through each model. And at the end, the performance of each model was compared and evaluated. Findings The results showed that the random forest model had the highest performance, and the artificial neural network model had a narrow difference in performance than the decision tree model. In the decision-making tree model, key nodes were selected as to whether they receive economic support from their families, major affiliates, the route of obtaining information for jobs at universities, the importance of working income when choosing jobs and the location of graduation universities. Identifying the importance of variables in the random forest model, whether they receive economic support from their families as important variables, majors, the route to obtaining job information, the degree of irritating feelings for a month, and the location of the graduating university were selected.

• Journal of Convergence for Information Technology
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• v.9 no.7
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• pp.78-84
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• 2019

The purpose of this study is to introduce the concept of the Smart Sewer System and to analyze the economic ripple effect when smart sewer is built all over Korea. The research method is the input-output model based on the assumption that the smart sewerage will be constructed throughout the Korea from 2021 to 2040. Estimation results show that the production-induced effect reaches 343.73 trillion Korean won, the added value-induced effect is 155.867 trillion Korean won, and the employment-induced effect is estimated by 25,118,470, indicating that the smart sewer project leads to being considerably large in the nation-wide economy. In addition, the increase of social welfare by smart sewer is expected to be realized through the improvement of both the environment improvement and the national health. Therefore, the smart sewer project should be implemented without delay by planning a concrete road map and putting it into effect with a budget.

• Journal of Technology Innovation
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• v.25 no.4
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• pp.263-284
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• 2017

The purpose of this research is to analyze the performance of national R&D projects and to find out measures to improve the performance indicators, focusing on energy HRD projects. The main analysis target is 86 energy manpower projects supported since 2010. The performance indicators of the energy HRD projects are related to the research capacity, the number of emission workers, industry-university linkage, job creation and so on, and analyzed by using the 11 indicators of human resource performance index called KPI index. As a result of analyzing the attainment level of the proposed target by task, the index with the highest achievement level is the corporation linkage rate, and the index with the lowest achievement level is the participating company employment. As a result of examining the effects of job creation in company - linked activities, it was found that the greater the number of participating companies in the business, the greater the employment creation effect of the number of internships. As a result of the above analysis, the following policy alternatives are proposed. First, it is necessary to consider adding indicators that can express the quality performance of the business and performance indicators that can express actual business linkages. Second, it is necessary to strengthen the management of differentiated performance indicators according to policy performance targets and major target groups. Third, it is necessary to improve information input and accumulation system along with improvement of performance index.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.129-137
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• 2012

Entering $21^{st}$ Century, the most critical keyword for companies is change and innovation. To achieve it, Obtaining right person becomes more and more important to those companies. It is not only supported by managers in business world but also by academia. However it is not easy to obtain right persons who have right experiences and knowledges. Therefore, the purpose of this study is to build strategic system which support help to hire and manage human resource. In this study, the suggested system is a type of strategic simulation game and job seeker can get several opportunities to be hired by joining the game. this system would help for companies to manage and hire right persons and there will be extra business opportunities. In conclusion, this system based on strategic simulation game would help human resource management and also promote job market and exchanging and trading companies' information and knowledge as well.

• The Journal of Korean Institute of Information Technology
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• v.15 no.12
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• pp.173-180
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• 2017

In this paper, we propose a project-based learning using Arduino as an example of embedded system class in engineering students. By introducing these Project-Based Learning(PBL) into engineering education, students became able to actualize individual theories that they had learned through their major curriculum and they were given the experience to build up their field work ability by participating in the whole project development process. We conducted a questionnaire survey to investigate the education effect of PBL before and after class and the results were analyzed using SPSS statistical program. Since PBL is mainly operated by a team system, communication skills and teamwork within the organization can be improved through interactions among the members. All of the materials produced during the course of the project could be used to make portfolio of students, which could be of great help to data for employment activities after graduation.

• Journal of Korea Spatial Information System Society
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• v.7 no.1 s.13
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• pp.3-11
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• 2005

This paper proposes the method for the man power forecasting and performs mid-term(1994-1998) forecasting of telematics man power demands in Korea. Telematics technology has been selected as '839 New IT Growth Engine' by Ministry of Information and Communication (MIC) of Korean Government to boost Korean IT industry for the next 10 years. In order to meet the man power requirement in this telematics industry, accurate forecasting of the man power demand is necessary. The procedures for the forecasting includes study of man power forecasting models, deriving market size of the telematics industry, perform labor productivity analysis, derive the man power structure by the types of the work forces by the types of telematics industry, and finally derive annual man power demands by the worker types and the telematics industry types.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.10
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• pp.243-250
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• 2018

In this study, we developed career guidance guidelines in order to support professors in guiding the career development of female students in engineering programs. Focus Group Interview (FGI) was conducted by a group of experts composed of 7 professors at the department of computer engineering in order to identify the current status and draw guidelines. It was found that the female students of engineering college were required to improve their efficacy, strengthen their major competency, improve their practical job competency, cultivate basic competency, and provide guidance on specific employment information. Then, we suggested the five elements of each grade and checklists focusing on five elements and proposed the forms so that they can be easily utilized in actual career guidance. At two expert meetings, the validity of the guidelines and the forms were verified and revised. Finally, we suggested a way to streamline the application of these guidelines.