82 research outputs found

    Modularization of National Technical Qualifications Related IT in General Clerical Fields

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    이 μ—°κ΅¬λŠ” IT기술의 변화와 μ—…λ¬΄μˆ˜ν–‰μ—μ„œμ˜ IT ν™œμš©λŠ₯λ ₯의 μΌλ°˜ν™”μ— 따라 κ΅­κ°€κΈ°μˆ μžκ²© 쀑 κΈ°μ΄ˆμ‚¬λ¬΄μ— λΆ„λ₯˜λ˜μ–΄ μžˆλŠ” ITκ΄€λ ¨ μžκ²©μœΌλ‘œμ„œ μ›Œλ“œν”„λ‘œμ„Έμ„œμ™€ μ»΄ν“¨ν„°ν™œμš©λŠ₯λ ₯ 자격과 κ΄€λ ¨ν•˜μ—¬ μƒˆλ‘œμš΄ κΈ°μ΄ˆμ‚¬λ¬΄ κ΄€λ ¨ IT λŠ₯λ ₯λͺ¨ν˜•μ„ λ„μΆœν•˜κ³ , 이λ₯Ό ν† λŒ€λ‘œ λͺ¨λ“ˆμ‹ 자격으둜 κ°œνŽΈν•˜λŠ” λ°©μ•ˆμ„ λͺ¨μƒ‰ν•˜κΈ° μœ„ν•΄ μ΄λ£¨μ–΄μ‘Œλ‹€. 연ꡬ결과 μ›Œλ“œν”„λ‘œμ„Έμ„œ, μŠ€ν”„λ ˆλ“œμ‹œνŠΈ, λ°μ΄ν„°λ² μ΄μŠ€, ν”„λ ˆμ  ν…Œμ΄μ…˜, μ›Ήν™œμš©, μ»΄ν“¨ν„°μΌλ°˜ 6개 λŠ₯λ ₯에 λŒ€ν•΄ 30개 ν•˜μœ„λŠ₯λ ₯, 67개 μ„ΈλΆ€ν•˜μœ„λŠ₯λ ₯을 λ„μΆœν•˜μ˜€λ‹€. λ˜ν•œ λŠ₯λ ₯변화에 λ”°λ₯Έ μžκ²©κ°œμ •κ³Ό μˆ˜μš”μžμ˜ μš”κ΅¬μ— λ”°λ₯Έ μžκ²©μ·¨λ“μ΄ μš©μ΄ν•˜λ„λ‘ λͺ¨λ“ˆμ‹ 자격으둜의 κ°œνŽΈλ°©μ•ˆμœΌλ‘œμ„œ β‘  κΈ°μ΄ˆμ‚¬λ¬΄ ITλŠ₯λ ₯별 λͺ¨λ“ˆμžκ²©ν™”, β‘‘ κΈ°μ΄ˆμ‚¬λ¬΄ IT λŠ₯λ ₯κ°„ 연계성을 κ³ λ €ν•œ λͺ¨λ“ˆμžκ²©ν™”, β‘’ λ‹¨μΌμžκ²©μ’…λͺ© λ‚΄ λŠ₯λ ₯별 μ‹œν—˜κ³Όλͺ©λͺ¨λ“ˆν™”, β‘£ λŠ₯λ ₯별 λͺ¨λ“ˆμžκ²©ν™” 및 μ’…ν•©μžκ²© μ‹ μ„€ λ“± λ„€ 가지 λ°©μ•ˆμ„ κ΅¬μ•ˆν•˜μ˜€μœΌλ©°, 각 λ°©μ•ˆλ³„λ‘œ 자격의 κ΄€λ¦¬β€€μš΄μ˜, μ§μ—…μžκ²©μœΌλ‘œμ„œμ˜ μ‚¬νšŒμ  μœ„μƒ, κ²€μ •λŠ₯λ ₯의 μœ μ—°μ„± 및 ν™•μž₯성을 κ³ λ €ν•˜μ—¬ μž₯ 단점을 λ„μΆœν•˜μ˜€λ‹€. ν•œνŽΈ κΈ°μ΄ˆμ‚¬λ¬΄ ITλΆ„μ•Ό κ΅­κ°€κΈ°μˆ μžκ²©μ˜ λͺ¨λ“ˆν™”에 λ”°λ₯Έ 자격λͺ…μΉ­, κ²€μ • κ³Όλͺ© 및 방법, 등급체계, μ‘μ‹œμžκ²© λ“± μžκ²©μš΄μ˜μ„ μœ„ν•΄ ν•„μš”ν•œ 사항을 μ œμ–Έν•˜μ˜€λ‹€.The purpose of this study was to develop The IT competency model related to wordprocessor qualification and computer practical ability qualification which are part of national technical qualifications and to search for a plan to modify into modular qualifications based on the IT ability model. It was concluded that there were six key abilities, which were word, spreadsheet, database, presentation, using the web, general computer, and developed 30 subabilities and 67 detailed subabilities according to the key abilities. It is also developed modular qualification plans and suggested each plans’ strengths and weaknesses The plans are β‘  modular qualifications which are based each IT abilities β‘‘ modular qualifications which are considered each IT abilities relation, β‘’ single qualification and modular examination subjects, β‘£ modular qualifications which are based each IT abilities and establish total qualification. Moreover, this study suggested qualification title, examination subjects and methods, grade, test requirements and conditions

    [μ‹œλ‘ ] λŠ₯λ ₯μ€‘μ‹¬μ‚¬νšŒλ‘œμ˜ ν•­ν•΄ - ꡭ가직무λŠ₯λ ₯ν‘œμ€€(NCS)의 μ•ŒνŒŒμ™€ μ˜€λ©”κ°€

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    NCSλŠ” ν˜„ μ •λΆ€μ˜ 핡심 κ΅­μ •κ³Όμ œμΈ λŠ₯λ ₯μ€‘μ‹¬μ‚¬νšŒλ‘œ κ°€κΈ°μœ„ν•œ μ‹œμž‘κ³Ό 끝이라고 ν•  수 μžˆλ‹€. λ³Έκ³ μ—μ„œλŠ” λŠ₯λ ₯μ€‘μ‹¬μ‚¬νšŒ κ΅­μ •κ³Όμ œ μΆ”μ§„κ³Όμ •μ—μ„œμ˜ 보완점과 역점 사항을 μ œμ‹œν•œλ‹€

    Relationships among the Development Level of Expertise, Education and Training, Qualifications and Work Experience for Software Developers

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    이 μ—°κ΅¬μ˜ λͺ©μ μ€ μ†Œν”„νŠΈμ›¨μ–΄ 개발자의 μ „λ¬Έμ„± λ°œλ‹¬μˆ˜μ€€μ„ μΈ‘μ •ν•˜κ³  κ΅μœ‘ν›ˆλ ¨, 자격 및 직무경λ ₯과의 관계λ₯Ό ꡬλͺ…ν•˜λŠ”λ° μžˆμ—ˆλ‹€. λͺ¨μ§‘단은 μ†Œν”„νŠΈμ›¨μ–΄ 개발자이며, μœ μ˜ν‘œμ§‘μœΌλ‘œ μ„ μ •λœ 20개 κΈ°μ—…μ—μ„œ 회수된 총 526λΆ€λ₯Ό 가지고, ν†΅κ³„λŠ” ꡰ집뢄석, νšŒκ·€λΆ„μ„ 및 νŒλ³„λΆ„μ„μ΄ μ μš©λ˜μ—ˆλ‹€. 첫째 결둠은 μ†Œν”„νŠΈμ›¨μ–΄ 개발자의 μ „λ¬Έμ„± λ°œλ‹¬ μˆ˜μ€€μ€ β€˜λ³΄ν†΅β€™ μˆ˜μ€€(평균 3.0)이고, 뢄석 및 섀계, ν”„λ‘œμ νŠΈ 관리, κ΅¬ν˜„, ν…ŒμŠ€νŒ… 직무λŠ₯λ ₯ 순으둜 더 크게 영ν–₯을 λ°›λŠ”λ‹€. λ‘˜μ§Έ, μ†Œν”„νŠΈμ›¨μ–΄ 개발자의 μ „λ¬Έμ„± λ°œλ‹¬ 등급은 5개둜 ꡬ뢄될 수 μžˆμœΌλ‚˜ 졜고 등급에 μ†ν•œ κ°œλ°œμžλŠ” μ†Œμˆ˜λ‘œ ν™•μΈλ˜μ–΄ μ „λ¬Έμ„± μˆ˜μ€€μ€ 더 λ°œλ‹¬λ˜μ–΄μ•Ό ν•  것이닀. μ…‹μ§Έ, μ „λ¬Έμ„± λ°œλ‹¬ μˆ˜μ€€κ³Ό κ΅μœ‘ν›ˆλ ¨, 자격 및 직무경λ ₯의 κ΄€κ³„μ—μ„œ ν”„λ‘œμ νŠΈ μˆ˜ν–‰ 자격, 직무경λ ₯, ν•™κ΅κ΅μœ‘, 자격증 μ†Œμ§€ 자격 순으둜 λ†’κ²Œ 영ν–₯을 λ―Έμ³€λ‹€. μ΄λŠ” μ „λ¬Έμ„± λ°œλ‹¬μ— ν˜„μž₯ 기반의 λ‹€μ–‘ν•œ κ²½ν—˜μ΄ μ€‘μš”ν•¨μ„ μ‹œμ‚¬ν•œλ‹€. λ„·μ§Έ, 개발자의 μ „λ¬Έμ„± λ°œλ‹¬ 등급을 νŒλ³„ν•˜λŠ” λ³€μΈμœΌλ‘œ λ‹€μ°¨μ›μ μœΌλ‘œ μΈ‘μ •λœ κ΅μœ‘ν›ˆλ ¨, 자격 및 직무경λ ₯ λ³€μΈμ—μ„œλŠ” ν”„λ‘œμ νŠΈ μˆ˜ν–‰μžκ²©κ³Ό 직무경λ ₯으둜 ν™•μΈλ˜μ—ˆκ³ , 기술자의 λ…Έμž„λ‹¨κ°€ ν™œμš© λ³€μΈμ—μ„œλŠ” μ΅œμ’… ν•™λ ₯만이 νŒλ³„ λ³€μΈμœΌλ‘œ ν™•μΈλ˜μ—ˆλ‹€.The purpose of this study is to identify the relationships among the development level of expertise, education and training, qualifications and work experience for software developers. The main conclusions of this study can be summed up in four points. First, the expertise development level of software developers was highly influenced by analysis and design, project management, implementation, and testing, with an average of 3.0. Second, although software developers' expertise development ranks were most prominently divided into five classes, the developers of the highest class were extremely rare. Third, the newly measured variables in the level of expertise development, education and training, qualifications, and job career were highly affected by project performance, job experience, school education, and qualifications in that order. Meanwhile, it was found that the number of years of employment and the final education level in the standard variables of the unit price of labor varied depending on the measurement method. Fourth, it was confirmed that only the final education level was significantly determined by the developer's professional development grade, although the variables that could determine the development level of the developer's professionalism were the qualifications for project performance and job experience

    [μ‹œλ‘ ] λŠ₯λ ₯μ€‘μ‹¬μ‚¬νšŒλ₯Ό μœ„ν•œ μžκ²©μ œλ„μ˜ ν˜μ‹ κ³Ό κ΅­κ°€μ—­λŸ‰μ²΄κ³„(NQF) ꡬ좕 λ°©ν–₯

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    μ—¬λŸ¬ 도전 κ³Όμ œμ— 직면해 μžˆλŠ” κ΅­κ°€κΈ°μˆ μžκ²©μ˜ ν•œκ³„μ μ„ μ§€μ ν•˜κ³  ν•™λ²Œμ΄ μ•„λ‹Œ λŠ₯λ ₯μ€‘μ‹¬μ‚¬νšŒ λ§Œλ“€κΈ° κ΅­μ •κ³Όμ œμ˜ 핡심인 NQF κ΅¬μΆ•μ˜ μ€‘μš”μ„±μ„ μ œμ•ˆν•œλ‹€

    The Causal Relationship among Learning Orientation, Learning behaviors, Organizational Environment and Learning Outcomes in Small and Medium Enterprises

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    이 μ—°κ΅¬μ˜ λͺ©μ μ€ 100PPM 인증 μ€‘μ†ŒκΈ°μ—…μ—μ„œμ˜ ν•™μŠ΅μ§€ν–₯μ„±, ν•™μŠ΅ν–‰λ™, μ‘°μ§ν™˜κ²½ 및 ν•™μŠ΅μ„±κ³Όμ˜ 인과관계λ₯Ό ꡬλͺ…ν•˜λŠ” 데 μžˆλ‹€. 연ꡬλͺ©μ μ˜ 달성을 μœ„ν•œ 변인츑정은 ν•™μŠ΅μ§€ν–₯μ„±, ν•™μŠ΅ν–‰λ™, μ‘°μ§ν™˜κ²½, ν•™μŠ΅μ„±κ³Ό 및 개인의 μΌλ°˜νŠΉμ„±μœΌλ‘œ κ΅¬μ„±λœ μ§ˆλ¬Έμ§€λ₯Ό μ‚¬μš©ν•˜μ˜€λ‹€. 연ꡬ참여에 λ™μ˜ν•œ 143개 κΈ°μ—… 쀑 μ’…μ‚¬μž 5λͺ… 이상이 μ‘λ‹΅ν•œ 83개 κΈ°μ—…μ˜ μžλ£Œκ°€ 뢄석에 ν™œμš©λ˜μ—ˆλ‹€. 뢄석 κ²°κ³Ό, μ€‘μ†ŒκΈ°μ—…μ˜ 쑰직 ν•™μŠ΅μ§€ν–₯성은 쑰직ꡬ쑰와 ν™˜κ²½λΆˆν™•μ‹€μ„±μ— μ˜ν•΄ λ§Žμ€ 영ν–₯을 λ°›μœΌλ©°, 쑰직 ν•™μŠ΅μ§€ν–₯성은 ν•™μŠ΅μ„±κ³Όμ— 직접적인 영ν–₯을 λ―Έμ³€λ‹€. λ˜ν•œ μ‘°μ§μˆ˜μ€€ ν•™μŠ΅ν–‰λ™μ€ 쑰직 ν•™μŠ΅μ§€ν–₯성이 ν•™μŠ΅μ„±κ³Όμ— λ―ΈμΉ˜λŠ” 영ν–₯에 λŒ€ν•΄ λΆ€λΆ„λ§€κ°œ 역할을 ν•˜μ˜€λ‹€. 쑰직 ν•™μŠ΅μ§€ν–₯성은 집단 및 μ‘°μ§μˆ˜μ€€ ν•™μŠ΅ν–‰λ™μ—λŠ” 직접적인 영ν–₯을 λ―Έμ³€μœΌλ‚˜, κ°œμΈμˆ˜μ€€ ν•™μŠ΅ν–‰λ™μ—λŠ” 개인 ν•™μŠ΅μ§€ν–₯성을 맀개둜 ν•œ 간접적인 영ν–₯을 λ―Έμ³€λ‹€. λ§ˆμ§€λ§‰μœΌλ‘œ κ°œμΈμˆ˜μ€€ ν•™μŠ΅ν–‰λ™μ€ μ§‘λ‹¨μˆ˜μ€€ ν•™μŠ΅ν–‰λ™μ„ 맀개둜 μ‘°μ§μˆ˜μ€€ ν•™μŠ΅ν–‰λ™μ— 영ν–₯을 λ―Έμ³€λ‹€.The purpose of this study was to identify the causal relationship among learning orientation, learning behaviors, organizational environment, and learning outcomes in 100PPM small and medium enterprise. A survey questionnaire was conducted to measure the variables of this study. The data from 83 firms out of 143 firms which agreed to research participation were analyzed for the research model. The results from this study was as follows. First, organizational learning orientation was influenced by organizational structure and environment uncertainty of SMEs. Second, organizational learning orientation has direct impact on overall learning outcomes in SMEs and organization-level learning behaviors had the mediation effect. Third, organizational learning orientation in SMEs has direct effect on group and organization-level learning behaviors and has indirect effect on individual-level learning behaviors with the mediation effect of individual learning orientation. Fourth, The group-level learning behaviors fully medicated the link between individual-level and organizational-level learning behaviors

    The Hierarchical Linear Relationship Among Teaching Behaviors, Professor-Student Characteristics, Instructional Contexts, and Organizational Characteristics in Junior Colleges

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    이 μ—°κ΅¬μ˜ λͺ©μ μ€ μ „λ¬ΈλŒ€ν•™μ—μ„œμ˜ κ΅μˆ˜ν–‰λ™κ³Ό ꡐ수자 νŠΉμ„±, ν•™μŠ΅μž νŠΉμ„±, μˆ˜μ—…μƒν™© 및 쑰직 νŠΉμ„±μ˜ μœ„κ³„μ  관계λ₯Ό ꡬλͺ…ν•˜λŠ” 데 μžˆμ—ˆλ‹€. μ—°κ΅¬μ˜ λͺ¨μ§‘단은 μ „λ¬ΈλŒ€ν•™μ˜ μ „μž„ ꡐ수이며, ν‘œλ³Έμ€ μœ„κ³„μ  μ„ ν˜•λͺ¨ν˜• λΆ„μ„μ—μ„œ μš”κ΅¬λ˜λŠ” μ΅œμ†Œ μ‘°μ§μˆ˜μ€€ 집단 수(30개 이상)와 κ°œμΈμˆ˜μ€€ ꡐ수 수(μ „λ¬ΈλŒ€ν•™λ³„ 5λͺ… 이상)λ₯Ό κ³ λ €ν•˜μ—¬ λ¬΄μ„ ν‘œμ§‘ν•œ 38개 μ „λ¬ΈλŒ€ν•™ 760λͺ…μ˜ κ΅μˆ˜μ˜€λ‹€. μ‘°μ‚¬λ„κ΅¬λŠ” μ§ˆλ¬Έμ§€μ™€ μ „λ¬ΈλŒ€ν•™ κ³΅μ‹œμ •λ³΄ μ›μžλ£Œλ₯Ό μ‚¬μš©ν•˜μ˜€λ‹€. 자료 뢄석은 HLM 6.0 ν”„λ‘œκ·Έλž¨μ„ μ΄μš©ν•˜μ—¬ μœ„κ³„μ  μ„ ν˜•λͺ¨ν˜• 뢄석을 μ‹€μ‹œν•˜μ˜€λ‹€. μ—°κ΅¬κ²°κ³ΌλŠ” λ‹€μŒκ³Ό κ°™λ‹€. 첫째, μ „λ¬ΈλŒ€ν•™μ—μ„œμ˜ κ°œμΈμˆ˜μ€€ 변인은 μ‘°μ§μˆ˜μ€€ 변인에 λΉ„ν•΄ κ΅μˆ˜ν–‰λ™μ— 5λ°° 이상 λ§Žμ€ 영ν–₯λ ₯을 λ―ΈμΉœλ‹€. λ‘˜μ§Έ, μ „λ¬ΈλŒ€ν•™ ꡐ수의 κ°œμΈμˆ˜μ€€ 변인은 ꡐ수자 νŠΉμ„±, ν•™μŠ΅μž νŠΉμ„±, μˆ˜μ—…μƒν™©μ˜ 순으둜 κ΅μˆ˜ν–‰λ™μ— 영ν–₯λ ₯을 λ―ΈμΉœλ‹€. μ…‹μ§Έ, μ „λ¬ΈλŒ€ν•™μ˜ μ‹¬λ¦¬οΌŸμ‚¬νšŒμ  ν™˜κ²½μ€ κ΅μˆ˜ν–‰λ™μ— 정적인 영ν–₯을 λ―ΈμΉ˜μ§€λ§Œ, 물리적 ν™˜κ²½μ€ κ΅μˆ˜ν–‰λ™μ— 영ν–₯을 λ―ΈμΉ˜μ§€ μ•ŠλŠ”λ‹€.The purpose of this study was to identify the hierarchical linear relationship among teaching behaviors, professor-student characteristics, instructional contexts, and organizational characteristics in junior colleges. The population for this study was 11,937 full-time professors in 146 junior colleges. The data was analyzed by hierarchical linear model(HLM). The findings of the study were as follows: First, 85% of total variance in teaching behaviors was individual level, and 15% was organizational level variance. Second, 47.73% of the within group variance was accounted of professor characteristics, 11.36% of the that was accounted of student characteristics, and 7.58% of that was accounted of instructional contexts. Third, 16.67% of the between group variance was accounted of organizational characteristics
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