• 지역사회간호학회지
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• 제27권4호
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• pp.410-422
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• 2016

Purpose: This study evaluated the effects of a cultural competence training program for public health nurses (PHNs) using intervention mapping. Methods: An embedded mixed method design was used. Forty-one PHNs (experimental: 21, control: 20) and forty marriage migrant women (MMW) (20, in each group) who were provided nursing care by PHN participated in the study. The experimental group was provided with a four-week cultural competence program consisting of an eight hour offline and online course, e-mail newsletters and social networking services (BAND). Transcultural Self-efficacy (TSE) of the PHNs, client-nurse trust, and satisfaction with nursing care of MMW were measured. Ten PHNs in the experimental group were interviewed after the experimental study. Results: The experimental group showed a significantly greater improvement in TSE, client-nurse trust, and satisfaction with nursing care than did the control group. Six themes emerged from qualitative data: (a) Recognizing cultural differences, (b) Being interested in the multicultural policy, (c) Trying to communicate in MMW's own language, (d) Providing medical information using internet and smart phone, (e) Embracing culturally diverse people into society, and (f) Requiring ongoing cultural competence training. Conclusion: Cultural competence training enabled PHNs to provide culturally competent care and contribute to MMW's health outcomes.

• 디지털융복합연구
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• 제11권11호
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• pp.163-168
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• 2013

본 연구는 2009년 근로자 직업능력개발 훈련 지원에 대한 제도 개편이 한국의 이러닝 산업에 미친 영향에 대해 살펴보고, 그에 따른 어려움은 어떤 것들이 있는지 진단해보았다. 분석 결과, 엄격해진 원격훈련 지원 심사 기준으로 인해 원격훈련 기관이 상당수 줄어들게 되었고, 이는 나아가 이러닝 시장의 전반적인 위축이라는 문제점 등이 초래된 것으로 나타났다. 이에 본 연구는 각 어려움들을 극복할 수 있도록 스마트 러닝, 창의적 융합인력 양성 등의 내용이 포함된 근로자직업능력 개발 관련 법제도의 개선 방안들을 제시함으로 창조 경제 실현에 기여할 수 있는 정책추진 방향에 대해 제언하고자 한다.

• 대한물리의학회지
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• 제16권3호
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• pp.123-130
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• 2021

PURPOSE: Robotic gait training is being used increasingly to improve the gross motor performance and gait speed. The present study examined the effectiveness of a novel end-effector type of robotic gait training (RGT) system on standing, walking, running, and jumping functions, as well as the gait speed in children with spastic cerebral palsy. METHODS: Eleven children with spastic cerebral palsy Gross Motor Function Classification System (GMFCS) levels I-III (6 males; age range, 15.09 ± 1.44 years) were examined. They underwent 24 sessions (30 minutes/sessions, one time/day, three days/week for eight consecutive weeks) of RGT. The Gross Motor Function Measure-88 D domain (GMFM D), and GMFM E were assessed with a pretest and posttest of RGT. The setting was a one-group pretest-posttest design. RESULTS: A comparison of the pre-test and post-test show that the outcomes in post-test of GMFM D (p < .01), GMFM E (p < .05), and 10MWT were improved significantly after RGT intervention. CONCLUSION: The present study provided the first evidence on the effects of an eight-weeks RGT intervention in participants with spastic CP. The outcomes of this clinical study showed that standing performance, locomotion function, and gait speed increased in after 24 sessions of the end-effector RGT system in children with spastic cerebral palsy.

• 한국항공운항학회지
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• 제31권2호
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• pp.100-107
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• 2023

This study intends to present the UAM pilot qualifications and training and education systems based on the roadmap of technology for K-UAM operation system, which is being promoted for commercialization in 2025. There are currently about 250 eVTOL manufactures around the world, and they are gearing up to produce a variety of UAM aircrafts. In Korea, 35 companies including Hyundai Motor company, Korean Air, Lotte and SKT are accelerating the development of UAM aircrafts. UAM is being developed as a public goods concept centered on public transportation and urban aviation rather than private transportation. Therefore, the UAM pilot qualification and education and training system should be suitable for operations in densely populated areas and complex urban enviroments. In other words, in order to ensure safe UAM operations, the competencies and qualifications of UAM pilots should be clearly established.

• International Journal of Computer Science & Network Security
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• 제23권11호
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• pp.117-127
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• 2023

In many training institutions, the major advancement of Information Technology is having a profound impact on the way in which instructors teach and students learn, as well as how the two interact. The training process is continuing with the goal of enhancing the calibre of instruction and engagement. Top colleges and institutions have more recently developed a variety of Massive Open Online Courses (MOOC) systems centred on the development of new educational offering ways. These have not only captured the interest of students and scholars in the field of higher education, but also that of staff members in the private and public sectors. This study uses a Unified Theory of Acceptance and Use of Technology (UTAUT) model to assess the top MOOC providers and pinpoint the key elements influencing learner acceptance of MOOCs in Saudi Arabian training. A total of 382 government trainees in Saudi Arabia participated in an online survey, the results of which underwent analysis using structural equation modelling. This study identifies the key elements influencing Saudi government employee trainees' intentions to use MOOCs, with the findings indicating that the suggested model can account for 86.2% of user behaviour and 88.5% of user intentions.

• 대한인간공학회지
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• 제36권5호
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• pp.385-394
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• 2017

Objective: The aim of this study is to investigate how to design effective virtual reality-based training (i.e., virtual training) in maritime safety and to present methods for enhancing interface fidelity by employing immersive interaction and 3D user interface (UI) design. Background: Emerging virtual reality technologies and hardware enable to provide immersive experiences to individuals. There is also a theory that the improvement of fidelity can improve the training efficiency. Such a sense of immersion can be utilized as an element for realizing effective training in the virtual space. Method: As an immersive interaction, we implemented gesture-based interaction using leap motion and Myo armband type sensors. Hand gestures captured from both sensors are used to interact with the virtual appliance in the scenario. The proposed 3D UI design is employed to visualize appropriate information for tasks in training. Results: A usability study to evaluate the effectiveness of the proposed method has been carried out. As a result, the usability test of satisfaction, intuitiveness of UI, ease of procedure learning, and equipment understanding showed that virtual training-based exercise was superior to existing training. These improvements were also independent of the type of input devices for virtual training. Conclusion: We have shown through experiments that the proposed interaction design results are more efficient interactions than the existing training method. The improvement of interface fidelity through intuitive and immediate feedback on the input device and the training information improve user satisfaction with the system, as well as training efficiency. Application: Design methods for an effective virtual training system can be applied to other areas by which trainees are required to do sophisticated job with their hands.

• KDI Journal of Economic Policy
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• 제33권3호
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• pp.87-120
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• 2011

본 논문은 재직자 직업훈련(OJT) 관련 공적 재정지원 및 분담금 징수구조가 개별 근로자의 사내 직업훈련에 어떠한 영향을 미치고 있는지 그리고 직업훈련을 통해 어떠한 경제적 성과를 거두고 있는지 노동패널자료를 이용하여 분석한다. 주요 결과로서, (i) 직업훈련 관련 고용보험제도상의 유인구조 분석을 통해, 순지원율이 높은 기업에 고용된 근로자의 직업훈련수혜 가능성이 높다는 결과를 얻었는바, 이는 개인의 고유특성 및 기업규모효과를 고려해도 유도되는 결과이며, (ii) 훈련의 증가가 일정 부분 추후 임금상승으로 이어졌음을 보여준다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2013년도 추계학술대회
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• pp.575-577
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• 2013

호텔과 같은 서비스 산업은 생산과 소비가 동시에 이루어지는 특성으로 인해 서비스를 전달하는 과정에서 소비자는 종업원과의 접촉이 발생하며 종업원의 행동은 소비자의 구매 선택에 영향을 주므로 인적관리 차원에 있어서 교육훈련은 매우 중요한 관건이라고 할 수 있다. 본 연구는 호텔업의 종사원을 대상으로 e-Learning의 효과성을 검증하고자 하여 e-Learning의 시스템 품질, 콘텐츠 품질, 서비스 품질을 포함하는 e-Learning의 품질요인과 사용자의 자기효능감, 학습동기, 학습 플로우를 포함하는 학습특성요인을 독립변수로 구성하였다. 그리고 e-Learning의 효용성이라 할 수 있는 지각된 유용성 및 사용자 만족요인과, 효과성 측면에서의 지속적 사용의도와 교육훈련 전이를 매개변수로 구성하였고, 기업 e-Learning의 효과성이라 할 수 있는 고객지향성을 종속변수로 설정하여 실증분석을 실시하였다.

• International Journal of Industrial Entomology and Biomaterials
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• 제6권1호
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• pp.15-19
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• 2003

The study evaluated the influence of feeding different maturity leaves i.e., tender, medium, coarse and mixed leaves of three different maturity during late larval stages of new bivoltine race $(CSR_{3} {\times} CSR_{6})$. The data were compared with shoot feeding and control batches in which conventional feeding method was followed. The most of the larval and cocoon characters were recorded significantly higher in tender leaves fed batches followed by T4 batch (2 times tender and 1 time coarse leaves). Lowest melting percentage (1.494%) was recorded in T4 and highest (4.69%) was recorded in coarse leaf (T3) fed batches. Significantly higher post cocoon parameters viz., average filament length, non-breakable filament length, renditta and raw silk percentage were recorded in tender loaves fed batches.

• The Journal of the Acoustical Society of Korea
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• 제15권4E호
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• pp.21-27
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• 1996

In this paper, we propose a discriminative training algorithm for the stochastic segment model (SSM) in continuous speech recognition. As the SSM is usually trained by maximum likelihood estimation (MLE), a discriminative training algorithm is required to improve the recognition performance. Since the SSM does not assume the conditional independence of observation sequence as is done in hidden Markov models (HMMs), the search space for decoding an unknown input utterance is increased considerably. To reduce the computational complexity and starch space amount in an iterative training algorithm for discriminative SSMs, a hybrid architecture of SSMs and HMMs is programming using HMMs. Given the segment boundaries, the parameters of the SSM are discriminatively trained by the minimum error classification criterion based on a generalized probabilistic descent (GPD) method. With the discriminative training of the SSM, the word error rate is reduced by 17% compared with the MLE-trained SSM in speaker-independent continuous speech recognition.