• Journal of Agricultural Extension & Community Development
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• v.17 no.3
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• pp.607-637
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• 2010

The goal of this study is to develop a skill system for the areas of agriculture, forestry and fisheries among the skill frameworks that require basic examination in the development of skill standards. More specifically, the study aims to classify skills in the areas of agriculture, forestry and fisheries and to develop respective skill level. We classified skills and created the skill level through a study of documents, interview with experts and in-depth discussions with expert group centering on terminologies commonly used in the industrial settings. As a result of skill classification, we were able to classify skills into four categories in medium-scale classification, 13 categories in small-scale classification, and again into total 42 categories. We classified the skill level in the areas of agriculture, forestry and fisheries into 8 stages. Based on the skill system, we provided definition of skill and skill group, definition of each different skill, and performance standard by skill and level.

• Journal of Engineering Education Research
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• v.19 no.6
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• pp.32-37
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• 2016

The purpose of this study is to extract a skill level of human resource in the field of science and technology. To accomplish the goal of this study, precedent research was conducted and then, the draft of skill level for Human Resource in the field of Science and Technology (HRST) was created by wrap-up meeting. The skill level of the HRST was finalized after confirming verification of 20 SMEs (Subject Matter Experts) from January to February 2016 by two times. The conclusions are as follows; First, the skill level of the HRST consists five categories. Each of the level has educational background, work experience, certification, duty, major and so on. Second, the contents of the skill level were found to be mostly valid.

• Journal of Families and Better Life
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• v.6 no.1
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• pp.51-69
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• 1988

This study was mainly concerned with providing a basis of the development of low-income consumer education program. The purpose of this study was to investigate the level of their consumer skill and the degree of consumer problems' perception. For the purpose of this study, 480 questionnaire were distributed to the housewives in Seoul. The 320 data were analyzed by Frequency, Percentage, ANOVA, Duncan's Multiple Rang Test, Multiple Classification Analysis, and Pearson's Correlation . The major findings of this study were as follows; 1) The socio-demographic variables indicating significant relation to the level of consumer skill are income level, housewife's age , and housewife's education level. The independent influence of all the variables affecting consumer skill was analyzed. It result is in confirming the income as the most influential one. 20 The socio-demographic variables indicating significant relation to the degree of consumer problem's perception are income level, and housewife's education level. The independent influence of all the variables affecting consumer problem's perception was analyzed. It results in confirming the income as the most influential one. 3) Consumer skill level differs significantly at the 0.001 level, according toe the degree of consumer problems' perception. The higher level of consumer skill, the lower degree of consumer problems' perception. The result of this study implies that a consumer education should be given to the low-income consumers, on the basis of their consumer skill level. Further research regarding the consumer skill and problems ' perception of the low-income consumers should be conducted.

• Journal of Engineering Education Research
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• v.13 no.4
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• pp.93-108
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• 2010

The goal of this study is an analysis on linkage system between in machinery sector. The development of skill framework and national technical qualification items. This paper researched skills and created the skill level through reviewing domestic & foreign documents, interview with experts and in-depth discussions with expert group focusing on terminologies commonly used in the industrial settings. As a result of skill classification, authors were able to classify skills into three categories in medium-scale classification and 11 categories in small-scale classification, and also into total 42 categories through the re-classification of the small-scale classification. The skill level in the area of machine were classified the skill level in the area of machine into 7 level by reflecting the level system of the korean qualification frameworks, qualification and education course, and skill level in the industrial setting. Based on the skill frameworks, we provided definition of skill and skill group, definition of each different skill, and performance standards by skill and level. also, This paper suggests improving measure of national technical qualification items through analysizing linkage situation between skill frameworks & qualification items.

• Journal of Engineering Education Research
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• v.13 no.1
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• pp.87-97
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• 2010

The goal of this study is to develop a skill system for the areas of textile and clothing among the skill systems that require basic examination in the development of skill standards. More specifically, the study aims to classify skills in the areas of textile and clothing and to develop respective skill level. We classified skills and created the skill level through a study of documents, interview with experts and in-depth discussions with expert group centering on terminologies commonly used in the industrial settings. As a result of skill classification, we were able to classify skills into three categories in medium-scale classification, 10 categories in small-scale classification, and again into total 22 categories. We classified the skill level in the areas of textile and clothing into 7 stages. Based on the skill system, we provided definition of skill and skill group, definition of each different skill, and performance standard by skill and level.

• Journal of Korean Academy of Nursing Administration
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• v.20 no.1
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• pp.10-21
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• 2014

Purpose: This study was done to identify determinants of registered nurse (RN) skill mix and staffing level focused on hospital characteristics. Methods: Data were obtained from health insurance claims data and hospital reporting system in the Health Insurance Review and Assessment Service (HIRA) for the year 2010. Data from 2,998 hospitals were analysed using t-test, ANOVA, Pearson correlation, and regression analysis. Results: The RN skill mix and staffing level were positively related to hospital size and the percentage of inpatients to total patients. RN skill mix and staffing level were statistically different across regions. Including nursing aides (NA), however, there was no difference in staffing levels across regions. Medically vulnerable regions, bed operation rate, and the number of patients per doctor were also related to RN skill mix and staffing level. Conclusion: The statically significant determinants of RN skill mix and staffing level included hospital size, region, bed operation rate, percentage of inpatients, doctor-patient ratio. Further study needs to be done to investigate factors including RN supply and wages.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.359-366
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• 2013

Although many research efforts have been conducted to address the effect of crew members' work skills (e.g., technical and planning skills) on work performance (e.g., work duration and quality) in construction projects, the relationship between skill and performance has generated a great deal of controversy in the field of management (Inkpen and Crossan 1995). This controversy can lead to under- or over-estimations of the overall project schedule, and can make it difficult for project managers to implement appropriate managerial policies for enhancing project performance. To address this issue, the following aspects need to be considered: (a) work performances are determined not only by individual-level work skill but also by the group-level work skill affected by work team members, each member's role, and any working behavior pattern; (b) work planning has significant effects on to what extent work skill enhances performance; and (c) different types of activities in construction require different types of work, skill, and team composition. This research, therefore, develops a system dynamics (SD) model to analyze the effects of both individual-and group-level (i.e., multi-level) skill on performances by utilizing the advantages of SD in capturing a feedback process and state changes, especially in human factors (e.g., attitude, ability, and behavior). The model incorporates: (a) a multi-level skill evolution and relevant behavior development mechanism within a work group; (b) the interaction among work planning, a crew's skill-learning, skill manifestation, and performances; and (c) the different work characteristics of each activity. This model can be utilized to implement appropriate work planning (e.g., work scope and work schedule) and crew management policies (e.g., work team composition and decision of each worker's role) with an awareness of crew's skill and work performance. Understanding the different characteristics of each activity can also support project managers in applying strategic work planning and crew management for a corresponding activity, which may enhance each activity's performance, as well as the overall project performance.

• Journal of Korea Game Society
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• v.12 no.5
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• pp.23-34
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• 2012

Computer games should keep user's immersion for fun. Flow can be occured on the balance of user's game skill level and the difficulty level of the challenges by an immersion theory. Computer games can make automatic control of the challenge difficulty level but user's game skill makes difficult to know instantly its level on gameplay because the skill is decided by game goals, user tendency, or user experience. In this paper, we proposed a method of measurement of user's gameplay skill level that we can know the skill level instantly on gameplay. The proposed methods require to be implemented in the stages of the design and implementation of the computer game to be used. Computer games can keep continuously the balance of user's game skill level and the difficulty level of the challenges in order to occur flow immersion by using the proposed measurement method and automatic control methods of the difficulty of game challenges.

• The Journal of Korean Society for School & Community Health Education
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• v.16 no.3
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• pp.51-63
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• 2015

Objectives: This study addressed the relationship among communication skill, job satisfaction, and mental health level. Methods: The participants in this study were 222 public health center staff members at 9 community public health centers located in Seoul city and Gyeonggi province. Descriptive analysis, Pearson's correlation, and multiple regression were used for statistical analysis of the data. Results: The main findings are as follows: First, communication skill and job satisfaction showed a significant positive correlation with mental health level. Secondly, some components of mental health level generally showed positive correlations with communication skill and job satisfaction. Third, multiple regression showed that 22% of the variance in the mental health level was explained. Conclusions: Based on these results of this study, we suggested that specialized programs should be established to help in development of social arbitration for public health center staff.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.2
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• pp.209-214
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• 2020

The equitable partitioning problem(EPP) is classified as [0/1] binary skill existence or nonexistence and integer skill levels such as [1,2,3,4,5]. There is well-known a polynomial-time optimal solution finding algorithm for binary skill EPP. On the other hand, tabu search a kind of metaheuristic has apply to integer skill level EPP is due to unknown polynomial-time algorithm for it and this problem is NP-hard. This paper suggests heuristic greedy algorithm with polynomial-time to find the optimal solution for integer skill level EPP. This algorithm descending sorts of skill level frequency for each field and decides the lower bound(LB) that more than the number of group, packing for each group bins first, than the students with less than LB allocates to each bin additionally. As a result of experimental data, this algorithm shows performance improvement than the result of tabu search.