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The Effects of NCS Education and Education Transition on Practical Results

국가직무능력표준 교육과 교육전이가 실무성과에 미치는 영향

  • Received : 2019.01.11
  • Accepted : 2019.03.20
  • Published : 2019.03.28

Abstract

The reason why NCS education is conducted in college is because students are expected to improve their skills through practical education. In addition, NCS education is expected to have a positive impact on job competence and competitiveness. The purpose of this study is to explain the necessity of NCS education, and to analyze whether the education transition and practical performance are manifested. For this purpose, the research model was composed of "NCS Education ${\Rightarrow}$ Educational Transition ${\Rightarrow}$ Practical Results" and surveyed about 300 college students in the metropolitan area. If NCS education is necessary in practice, colleges and other educational institutions should plan to make NCS education operate efficiently. As a analysis result, it was confirmed that the internal consistency was secured and both the intensive validity & discriminant validity were confirmed in the validity. As a result of using the structural equation model, this research model was found to be suitable. As a result of the hypothesis test, it is analyzed that the standardization coefficient of the research hypothesis is above the appropriate level and the correlation is highly formed.

대학에서 NCS 교육을 실시하는 이유는 실무 중심의 교육을 통해 학생들의 능력이 향상되고 취업과 실무에서 직무능력의 경쟁력이 강화되면서 긍정적인 효과를 보일 것으로 기대하기 때문이다. 본 연구의 목적은 NCS의 역할과 필요성을 살펴보고 교육전이 및 산업현장에서 실무성과가 나타나는지를 분석하는데 있다. 이를 위해 연구 모형을 "NCS 교육 ${\Rightarrow}$ 교육전이 ${\Rightarrow}$ 실무성과"로 구성하여 수도권에 있는 대학생 400여명을 대상으로 설문조사를 실시하였다. 만일 NCS 교육이 취업과 실무에 필요하다면 대학을 비롯한 교육기관에서는 NCS 교육이 효율적으로 운영되기 위한 방안을 마련해야 한다. 분석 결과 내적 일관성이 확보되었으며 타당성 검증에서 집중타당성과 판별타당성이 모두 확보된 것으로 조사되었다. 구조방정식 모델을 이용한 결과 본 연구모형이 적합한 것으로 나타났으며 가설검증결과 연구가설의 표준화계수가 적정 수준 이상으로 나타나 상호 연관성이 높게 형성되어 있는 것으로 분석되었다.

Keywords

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Fig. 1. Research Model

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Fig. 2. Research Model Analysis Result

Table 1. NCS Vocational Basic Skills 10 Items

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Table 2. Measurement Items

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Table 3. Reliability Analysis and Exploratory Factor Analysis Result

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Table 4. Discriminant Validity Analysis

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Table 5. Hypothesis Testing through Structural Equation

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