• 국제지역연구
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• 제12권3호
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• pp.391-415
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• 2008

본 연구는 중국의 특별한 국정과 기업 성장환경에서 존재하는 조직문화 유형을 법리형 조직문화, 윤리형 조직문화, 발전추구형 조직문화로 구별하여 각각이 개인차원의 학습환경과 조직차원의 학습환경에 어떠한 영향을 미치는 지, 그리고 그러한 학습환경이 학습전이 의도와 직무만족에 어떤 영향을 미치는지를 실증연구 하였다. 이를 위해 선행연구를 검토하여 각 변수들의 정의와 변수들 간의 상관관계를 이론적으로 검토하여 연구모형과 연구가설을 설정하였고, 중국 현지에서 설문조사를 실시하여 얻은 통계적 결과를 구조방정식 모형으로 처리하였다. 가설 검증한 결과 법리형 조직문화는 개인차원의 학습환경과 조직차원의 학습환경에 모두 유의한 영향을 미치는 것으로 나타났다. 뿐만 아니라 학습환경과 학습태도를 통하여 학습전이 의도와 직무만족에 미치는 영향도 윤리형 기업문화나 발전추구형 기업문화의 그것 보다 훨씬 큰 것으로 나타났다. 이는 법리형 기업문화가 다른 두 가지 기업문화보다 조직성과가 높다는 것을 보여주는 것이다.

• 한국과학교육학회지
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• 제32권3호
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• pp.532-540
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• 2012

This research investigated the motivation and interests of a sample of predominately-underrepresented populations to better understand whether informal STEM learning experiences offer support for developing STEM identities. A valid and reliable three-section self-reporting survey was administered to 169 secondary students as the primary data source. Identity was used as a theoretical lens along with descriptive statistics to reveal students' perceived benefits of the informal STEM learning experience, a Mathematics, Engineering, Science Achievement (MESA) program in the western U.S., for improving their understanding of science, mathematics, and engineering concepts, increasing their interest in science, mathematics, and engineering careers, and increasing their belief of the importance of these STEM disciplines. In summary, the findings emerging, considered alongside current identity research, suggest that informal STEM learning experiences offer students from underrepresented STEM populations the space needed for successful STEM identity bids, either for future career pursuits or participation in a STEM literate populace as a non-STEM professional societal member.

• Computers and Concrete
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• 제20권6호
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• pp.627-634
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• 2017

Predicting the compressive strength of concrete is important to assess the load-carrying capacity of a structure. However, the use of blended cements to accrue the technical, economic and environmental benefits has increased the complexity of prediction models. Artificial Neural Networks (ANNs) have been used for predicting the compressive strength of ordinary Portland cement concrete, i.e., concrete produced without the addition of supplementary cementing materials. In this study, models to predict the compressive strength of blended cement concrete prepared with a natural pozzolan were developed using regression models and single- and 2-phase learning ANNs. Back-propagation (BP), Levenberg-Marquardt (LM) and Conjugate Gradient Descent (CGD) methods were used for training the ANNs. A 2-phase learning algorithm is proposed for the first time in this study for predictive modeling of the compressive strength of blended cement concrete. The output of these predictive models indicates that the use of a 2-phase learning algorithm will provide better results than the linear regression model or the traditional single-phase ANN models.

• The Journal of Asian Finance, Economics and Business
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• 제8권12호
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• pp.241-251
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• 2021

This study aims to analyze the impact of technology adoption on students' satisfaction with the higher education system in Vietnam. With the continuous development of information and technology, the education sector in particular and many economic sectors in Vietnam have witnessed an explosion of applications and interventions in teaching-learning. However, these innovations have also received a lot of criticism regarding their effectiveness and feasibility. Although the numerous benefits that technology adoption has brought to education are apparent, many practitioners have not adjusted to this transition, resulting in lower learner satisfaction. Through a survey of more than 2472 university students in Vietnam, the results find a positive relationship between technology adoption and student satisfaction in higher education. We also test how nine contingent factors including gender, income, major, self-study time, learning methods, technology administration, self-ability in adopting technology, technology accessibility, and purpose of using technology can moderate that relationship. Indeed, technology adoption acts as a facilitator to make learning more convenient, effective, and accessible, rather than completely affecting learning outcomes and satisfaction. This result suggests that self-motivation is an important and decisive factor in improving satisfaction through choosing and applying technology effectively and appropriately.

• 대순사상논총
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• 제34집
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• pp.293-321
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• 2020

文化的核心主旨凝結為其價值意涵, 「羽化登仙」集中反映道教文化的終極價值訴求。從文字學視閾探究「羽」, 「化」, 「登」, 「仙」, 有助於我們透視道教神仙信仰這層神秘面紗背後的生命理念, 體知功夫與境界追求, 以及生命修為與精神超越之間特有的內在理路。其中, 「神仙」可謂玄門修士的人生信念, 「羽化」指代其煉養功夫, 「登真」表徵生命能級攀越。「羽化登仙」寓道教文化價值目標, 煉養功夫與生命境界於一體, 乃玄門修士至上價值追求與生命終極鵠的之完美集結。与之相较, 「大巡」「道通真境」, 既主张道人「身心改造」「精神开辟」, 更强调个人修道服务, 服从于「地上天国建设」, 二者统一于「后天仙境」生命价值理想之中。

• 한국콘텐츠학회논문지
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• 제22권10호
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• pp.754-764
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• 2022

코드 리팩토링은 소프트웨어 시스템의 코드를 변경함으로써 새로운 요구사항 반영, 버그 수정, 코드 구조화 등을 달성하기 위한 유지보수 활동이다. 리팩토링 유형, 리팩토링 효과, 지원 도구 등에 관한 다양한 연구가 진행 중이다. 하지만, 많은 연구들이 자바 응용들을 대상으로 하고 있으며 파이썬 응용에 관한 리팩토링 연구는 사례가 많지 않다. 본 논문은 파이썬으로 개발된 딥러닝 시스템을 대상으로 단일 리팩토링과 복합 리팩토링을 식별하고 특성을 분석하였다. 또한, 딥러닝 응용과 일반 파이썬 응용 두 그룹에서 단일 및 복합 리팩토링 연산의 발생 빈도에 있어 통계학적 유의미한 차이가 있음을 확인하였다. 또한, 커밋 메시지의 키워드를 분석하여 소프트웨어 개발자들의 리팩토링 의도가 커밋 메시지에 반영되었는지를 분석하였다.

• Smart Structures and Systems
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• 제31권4호
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• pp.383-392
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• 2023

Post-earthquake building condition assessment is crucial for subsequent rescue and remediation and can be automated by emerging computer vision and deep learning technologies. This study is based on an endeavour for the 2nd International Competition of Structural Health Monitoring (IC-SHM 2021). The task package includes five image segmentation objectives - defects (crack/spall/rebar exposure), structural component, and damage state. The structural component and damage state tasks are identified as the priority that can form actionable decisions. A multi-task Convolutional Neural Network (CNN) is proposed to conduct the two major tasks simultaneously. The rest 3 sub-tasks (spall/crack/rebar exposure) were incorporated as auxiliary tasks. By synchronously learning defect information (spall/crack/rebar exposure), the multi-task CNN model outperforms the counterpart single-task models in recognizing structural components and estimating damage states. Particularly, the pixel-level damage state estimation witnesses a mIoU (mean intersection over union) improvement from 0.5855 to 0.6374. For the defect detection tasks, rebar exposure is omitted due to the extremely biased sample distribution. The segmentations of crack and spall are automated by single-task U-Net but with extra efforts to resample the provided data. The segmentation of small objects (spall and crack) benefits from the resampling method, with a substantial IoU increment of nearly 10%.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.1-8
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• 2024

In contemporary education, the rapid advancement of digital technologies elevates demands for integrating the latest tools into the learning process. Mathematical analysis, as a discipline, benefits from computer mathematics in distance education, enhancing practical aspects and enabling individualized learning. This article addresses the integration of the Maple computer mathematics system into higher education, specifically in teaching "Mathematical Analysis." Emphasizing its role in distance learning, computer mathematics optimizes the educational environment, reducing the time required for knowledge acquisition. The article showcases the application of Maple in finding extremum points and introduces an educational software simulator, enabling students to practice the method. The simulator, developed within Maple, facilitates self-checking and enhances the study of functions. Conclusions drawn from the study highlight the positive impact of these tools on distance education, affirming Maple's role in enhancing professional training and information culture among higher education students.

• International Journal of Knowledge Content Development & Technology
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• 제13권3호
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• pp.7-30
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• 2023

Nigeria is a country with multiple ethnic groups; as a result, English language is used as a lingua franca to enhance information flow. Despite this, the Indigenous languages of communities are mostly used for interactions, even in university environments thereby affecting smooth interaction for those who do not understand them. This study therefore investigated the impact of being a linguistic outsider on information access, learning and social wellbeing of students. Descriptive research of a case study was used for this study. The population for this study consisted of non-Yoruba indigenous students. Judgmental sampling technique was used to select 50 non-indigenous students; structured interview was used. Results showed that Yoruba indigenous language was used lightly in the classroom and heavily outside the classroom, with mixtures of pidgin and English languages. It was found that being a linguistic outsider had a negative influence on information access. However it was not a total dependent factor to social wellbeing of students who desire for their various languages to be predominantly used and for them to enjoy equal benefits with Yoruba indigenes. This study also revealed that being a linguistic outsider does not have negative influence on academic learning. It was recommended that the stakeholders in university management promote the complete use of English language in the classroom while students should be encouraged to interpret Yoruba language when spoken in the midst of non-indigenes.

• 한국실천공학교육학회논문지
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• 제5권1호
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• pp.45-51
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• 2013

베트남-한국 우호 정보기술대학의 이러닝(E-Learning) 교육 품질 향상을 위하여, 잘 알려진 기술수용모델(TAM)에 기반한 이러닝 수용성 평가를 수행하였다. 총 158명의 강사 및 직원으로부터 설문지를 통하여 데이터를 확보했으며, 통계패키지 SPSS를 이용하여 분석하였다. 설문지 작성 시는 다양한 이전 연구 결과를 고려하였으며, 그에 따라 연구 가설 및 모델을 설정하였다. 그 결과, 이러닝 시스템의 성공모델을 세웠으며, 중요 요소를 파악했다. 아울러 강사 및 직원들이 이러닝 시스템의 혜택을 잘 알고 있으며 그들의 훈련 및 교육에 이러닝 방법을 적용하고자 준비가 되었음을 파악했다.