• 제목/요약/키워드: University learning outcome

검색결과 274건 처리시간 0.032초

중소기업 학습조직 활성화가 생산성에 미치는 영향에 관한 연구 (A Study on the influence of Productivity improvement of middle and small sized company's learning organization on productivity)

  • 조유진;강경식
    • 대한안전경영과학회지
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    • 제19권4호
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    • pp.283-290
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    • 2017
  • In knowledge information society entering global unlimited competition era, our middle and small sized companies are the base of national and enterprise competitiveness and core base of national economy as an origin of jobs. The competitiveness of middle and small sized companies is so important to decide the level of the competitiveness of the whole industries, but the gap from big sized company is much low in comparison with advanced countries from angles of important factors of enterprise growth, productivity and technological competitiveness, so, it's urgent to improve the competitiveness through productivity enhancement. The purpose of this research is to do a positive study on effects of learning organization management outcomes of middle and small sized company on enterprise productivity among various types of outcome brought for strengthening of enterprise competitiveness. It confirmed learning organization has functions and usefulness as a management tool bringing positive effects on enterprise productivity through the Productivity improvement.

비대면 강의 운영 전략: 온라인 창업수업을 중심으로 (Analyzing Offline and Online Entrepreneurship Course Outcomes and Remote Education Strategy)

  • 이주성
    • 공학교육연구
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    • 제25권5호
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    • pp.55-67
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    • 2022
  • Distance learning has become an efficient tool and is being widely used at work and in school. This research presents the results of a project-oriented entrepreneurship course taught both in classroom and online for a period of 3 years before and after the pandemic caused by COVID-19. Despite the various challenges, the outcome demonstrated that the students were able to attain required knowledge and capabilities in the online learning environment. As such, this paper discusses effective ways to blend in distance learning components so that both instructors and students can benefit from Internet-based education technologies. In the future, both face-to-face and virtual project work and study are likely to get integrated into a 'hyflex' class, which is flexible, on-offline education.

m-Learning 수업 개발과 적용사례: 간호대학 임상실습 과목 (Applied Case and Development of m-Learning Class: Based on a Clinical Practice Class in the College of Nursing Science)

  • 강인애;이성아;김원옥;석소현;황지인
    • 한국간호교육학회지
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    • 제14권1호
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    • pp.63-72
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    • 2008
  • Purpose: This study focused on two aspects: 1) how to design and implement a mobile learning course which is facilitated by a PDA with a web-based class homepage as a tool for mobile learning; 2) how to increase and enhance interactive activities among and between the students and the faculty members by utilizing a PDA as a tool for communication as well as collaboration. Method: To analyze the results of the m-Learning course, data was collected from interviews with the involved two faculty members and a survey from 27 students. Result: The results showed a positive outcome of the m-Learning approach in terms of a more collaborative learning environment in a clinical course where the students practice their clinical activities out of the classroom, far from their faculty members. On the other hand, the problems of the m-Learning approach were that more thorough preparation was needed for the new tools from both the students and the faculty members in preparation in social, cultural, and mental aspects, not withstanding the assumed technical limits of a PDA. Conclusion: m-Learning must be more actively implemented in classes, even though several problems were noticed in terms of both technical aspects of the tools, and social and cultural aspects from the users.

The Effectiveness of Team-based Case-based Learning Approach on the Learning Outcome: A Single Course Level in a University Setting

  • Hye Yeon Sin
    • 한국임상약학회지
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    • 제32권4호
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    • pp.328-335
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    • 2022
  • Background: Case-based learning (CBL) is becoming an important approach for improving interprofessional collaboration education. Previous studies have examined learners' satisfaction with interprofessional education (IPE) in medical institutions. However, there are few studies on the implementation of university-led CBL interventions and their direct effects on learning outcomes. The aim of this study was to evaluate the effectiveness of CBL interventions on changes in the participants' perception and knowledge acquisition ability. Methods: The CBL approach consisted of team-based case-based learning, self-directed learning, and post-feedback. It was conducted as a single course for pharmacy students in their 5th year in a university setting. Changes in the participants' perceptions and self-assessments of competence levels were evaluated using survey responses. The effect of the CBL intervention on knowledge acquisition ability was directly evaluated using the exam score. Results: The majority agreed or strongly agreed that team-based case-based learning, and self-directed learning helped them to improve their knowledge and skills to a higher level and to increase the self-assessment of competency level. The average score of knowledge acquisition ability (average score of 75.0, p=0.0098) was significantly higher in the CBL intervention group than the lecture-based learning intervention group (average score of 52.0). Conclusion: The participants positively perceived that CBL intervention helped them to effectively improve their knowledge and the self-assessment of competency level. It also enhanced knowledge acquisition ability. These data, based on the survey responses, suggest that it is necessary to implement CBL interventions in a university-led single professional education.

머신러닝을 이용한 유기견 안락사 예측 (Prediction of the Shelter Dog Outcome using Machine Learning Models)

  • 이예슬;이세훈;존킨
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2020년도 제62차 하계학술대회논문집 28권2호
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    • pp.301-302
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    • 2020
  • The number of abandoned dogs were increasing every year in South Korea. However, many dogs are euthanized in the shelter because of the lack of budget. This project predicts euthanasia of abandoned dogs using machine learning algorithm. It collects data from the public data portal where Korea government provides a public dataset as a form of open API. This project uses recent three-year data 2017 to 2019 and 263371 cases were founded. This project implements random forest and logistic regression models. This project attained an average 72% of prediction accuracy.

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Exploring modern machine learning methods to improve causal-effect estimation

  • Kim, Yeji;Choi, Taehwa;Choi, Sangbum
    • Communications for Statistical Applications and Methods
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    • 제29권2호
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    • pp.177-191
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    • 2022
  • This paper addresses the use of machine learning methods for causal estimation of treatment effects from observational data. Even though conducting randomized experimental trials is a gold standard to reveal potential causal relationships, observational study is another rich source for investigation of exposure effects, for example, in the research of comparative effectiveness and safety of treatments, where the causal effect can be identified if covariates contain all confounding variables. In this context, statistical regression models for the expected outcome and the probability of treatment are often imposed, which can be combined in a clever way to yield more efficient and robust causal estimators. Recently, targeted maximum likelihood estimation and causal random forest is proposed and extensively studied for the use of data-adaptive regression in estimation of causal inference parameters. Machine learning methods are a natural choice in these settings to improve the quality of the final estimate of the treatment effect. We explore how we can adapt the design and training of several machine learning algorithms for causal inference and study their finite-sample performance through simulation experiments under various scenarios. Application to the percutaneous coronary intervention (PCI) data shows that these adaptations can improve simple linear regression-based methods.

Developing and Pre-Processing a Dataset using a Rhetorical Relation to Build a Question-Answering System based on an Unsupervised Learning Approach

  • Dutta, Ashit Kumar;Wahab sait, Abdul Rahaman;Keshta, Ismail Mohamed;Elhalles, Abheer
    • International Journal of Computer Science & Network Security
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    • 제21권11호
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    • pp.199-206
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    • 2021
  • Rhetorical relations between two text fragments are essential information and support natural language processing applications such as Question - Answering (QA) system and automatic text summarization to produce an effective outcome. Question - Answering (QA) system facilitates users to retrieve a meaningful response. There is a demand for rhetorical relation based datasets to develop such a system to interpret and respond to user requests. There are a limited number of datasets for developing an Arabic QA system. Thus, there is a lack of an effective QA system in the Arabic language. Recent research works reveal that unsupervised learning can support the QA system to reply to users queries. In this study, researchers intend to develop a rhetorical relation based dataset for implementing unsupervised learning applications. A web crawler is developed to crawl Arabic content from the web. A discourse-annotated corpus is generated using the rhetorical structural theory. A Naïve Bayes based QA system is developed to evaluate the performance of datasets. The outcome shows that the performance of the QA system is improved with proposed dataset and able to answer user queries with an appropriate response. In addition, the results on fine-grained and coarse-grained relations reveal that the dataset is highly reliable.

교육복지투자우선지역 지원사업이 아동.청소년의 사회.정서 및 인지적 발달에 미치는 효과 (Effect of the Spportive Project for the Priority Region of Educational Welfare Investment[SPPREWI] on School Children's Psychosocial and Cognitive Adjustment)

  • 정연정;엄명용
    • 한국사회복지학
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    • 제61권4호
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    • pp.5-33
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    • 2009
  • 본 연구는 교육과학기술부에서 실시하고 있는 빈곤 아동 청소년 정책인 '교육복지투자우선지역 지원사업'(이하 교육복지사업)의 정당성 확인과 지속적 실시 여부를 확인해 보기 위해 사업의 성과를 평가하고자 하였다. 특히 교육복지사업에서 기대되는 성과지표에 기반하여 사회 정서적 발달('긍정적인 자아개념', '우울 불안 자살충동', '공격성 분노', '비행', '학교생활적응', '사회적 변화')과 인지적 발달('학습자기조절인지', '학습행동통제전략', '직업준비성')을 측정하고자 하였다. 이를 위해 교육복지사업을 운영하는 학교[즉, 실험집단]와 동일한 지역 내 열악한 환경에 놓여 있는 비운영학교[즉, 통제집단] 간 비교 그리고 사업운영학교의 서비스 이용수준에 따른 실험집단 내 분석을 실시하였다. 이러한 연구결과로부터 교육복지사업이 성과지표에 긍정적인 효과가 있음을 확인할 수 있었다. 또한 열악한 환경이라는 위험요인에 대한 완충효과를 갖는 동시에 서비스제공에 상승효과를 나타내는 '학교 건강성'의 조절효과 확인을 통해 교육복지실천에 유용한 정보를 제공할 수 있었다.

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블렌디드러닝의 외적 수업형태 및 내적 수업전략이 학업성취도와 학습자 인식에 미치는 영향 탐색 (Exploration of the Impact of Blended Learning's External Classroom Formats and Internal Teaching Strategies on Academic Achievement and Learners' Perception)

  • 홍예윤;임연욱
    • 산업융합연구
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    • 제21권8호
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    • pp.1-12
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    • 2023
  • 본 연구의 목적은 COVID-19 팬데믹으로 인해 대학 수업에서 시행하게 된 블렌디드러닝의 외적 수업형태가 학생들의 학업 성취도에 미친 영향, 그리고 블렌디드러닝의 내적 수업전략이 학습자의 인식에 미친 영향은 어떠한지를 분석하여 온라인수업의 바람직한 방향성을 제시하는 것이다. 본 연구는 2022년 1학기 G대학에서 미적분학I 수업을 수강하는 학생들을 대상으로 하여 실험반 117명과 비교반 707명에 대한 대면수업 및 온라인수업 그리고 교수 방법의 혼합을 통한 블렌디드러닝을 실시하고 학업성취도와 학습자 인식을 조사하였다. 연구결과로는 온라인수업만으로 한 학기를 진행했을 때보다 중간고사 이전에는 온라인수업을 진행하고, 이후에는 대면수업으로 운영하는 블랜디드 수업방식을 수행하였을 때 학업성취도가 하향되는 결과를 얻게 되었다. 미리 준비되지 않은 단순한 외적 수업형태의 블렌디드러닝은 비효과적이었으나 온라인수업으로만 이루어진 수업형태에서 동영상 및 실시간 수업의 혼합 모형은 긍정적인 학습자 인식을 보여주었다. 테크놀로지를 혼합하여 실시한 교수전략 또한 긍정적인 결과로 나타났다.

온라인 건강사정실습 수업에서 능동학습이 간호대학생의 비판적사고성향, 문제해결능력, 셀프리더십에 미치는 효과 (The Effect of Active Learning on Critical Thinking Disposition, Problem Solving Ability, and Self-leadership of Nursing Students in Online Nursing Health Assessment Practice Class)

  • 마현희
    • 문화기술의 융합
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    • 제8권5호
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    • pp.39-50
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    • 2022
  • 본 연구 목적은 코로나 19 펜데믹 상황에서 이루어진 온라인 건강사정실습 교과목에서 능동학습 적용이 간호대학생의 비판적사고성향, 문제해결능력 및 셀프리더십에 미치는 효과를 확인하고자 수행하였다. 자료수집은 21년 9월 1일부터 12월 17일까지 D대학교 간호학과 2학년 78명을 대상으로 이루어졌으며 수집된 자료는 SPSS/WIN 20 프로그램을 이용하여 분석하였다. 본 연구결과 온라인 건강사정실습 수업에서 능동학습 적용 후 비판적사고성향(t=-2.11 p=.038), 셀프리더십(t=-2.07 p=.042)은 통계적으로 유의하게 증가되었다. 능동학습으로 적용된 SOAP, 임상추론학습지(Outcome-Present-Test) 및 임상추론 웹 작성(Clinical reasoning web), 마인드맵 작성은 간호대학생들의 비판적사고성향과 셀프리더십을 향상시키는 것으로 확인되어 대면수업에서의 효과를 확인하는 연구가 이루어져야 할 것이다.