• 제목/요약/키워드: Online Program

검색결과 964건 처리시간 0.03초

Online Crowdsourcing Platform Continuous Participation During COVID-19: A Low-income Group Perspective in Malaysia

  • NA'IN, Nuramalina;HUSIN, Mohd Heikal;BAHARUDIN, Ahmad Suhaimi
    • The Journal of Asian Finance, Economics and Business
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    • 제8권10호
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    • pp.317-326
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    • 2021
  • The crowdsourcing system relies heavily on the number of crowd participation on the platform to ensure the platform's success. However, exploring factors that motivate the crowds to sustain on the platform remains unclear, and very little literature was found on this matter. Lately, the COVID-19 pandemic has affected the world, including Malaysia. Due to the pandemic, many people have lost their jobs, and hence, most of them have shifted to digital work. Hence, to understand the motivation for continuous participation on the online crowdsourcing platform among low-income crowd workers (B40) in Malaysia, this paper explores the intrinsic and extrinsic motivations for continuous participation. A qualitative method interview was performed where 14 active participants of Upwork.com, under the GLOW program, took part during the data collection process. This paper used the thematic analysis method to extract the data collected from this study. The finding of this study identified eight intrinsic motivation factors: (1) personal development, (2) pastime, (3) fun, (4) passion, (5) task identity, (6) time-workplace flexibility, (7) altruistic, and (8) peers' success and four extrinsic factors: (1) monetary, (2) job security, (3) personal commitment, and (4) environment.

Do depression, anxiety, emotional intelligence, and sleep quality affect diabetes management self-efficacy in Korean women with gestational diabetes in pregnancy?: a descriptive correlational study

  • Lee, Hoon Ah;Jang, Keum Seong
    • 여성건강간호학회지
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    • 제27권4호
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    • pp.358-367
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    • 2021
  • Purpose: This study aimed to identify factors associated with diabetes management self-efficacy in pregnant women with gestational diabetes mellitus (GDM) in Korea. Methods: A total of 173 pregnant women with GDM in Korea were recruited by posting announcements at two Korean online communities focusing on pregnancy and GDM. Participants completed a structured online survey from July to September 2018. Thirteen inappropriate responses were excluded and a total of 160 questionnaires were used in the final analysis. Descriptive statistics were calculated and multiple regression with the enter method was done to identify the associations of depressive mood, anxiety, emotional intelligence, and sleep quality with diabetes management self-efficacy. Results: Respondents reported a moderately depressive mood (mean, 10.36), low to moderate anxiety (mean, 41.65), above-average emotional intelligence (mean, 78.04), moderate sleep quality (mean, 42.01), and above-average diabetes management self-efficacy (mean, 52.29). The major factor associated with diabetes management self-efficacy of pregnant women with GDM was emotional intelligence (β=.51, p<.001). Other factors, in descending order of influence, were sleep quality (β=.22, p<.001) and exercise (β=.18, p=.004). Taken together, the aforementioned factors explained 34.6% (F=39.53, p<.001) of the total variance. Conclusion: The results of this study suggest that to improve the diabetes management self-efficacy of pregnant women with GDM, it is necessary to develop an education program that can also enhance emotional intelligence, sleep quality, and exercise.

Understanding of Business Simulation learning: Case of Capsim

  • KIM, Jae-Jin
    • 4차산업연구
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    • 제1권1호
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    • pp.31-40
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    • 2021
  • Purpose - According to the importance of business simulation learning as a new type of business learning tool, this study reviews the dimensions of business education and a brief history of business education simulation. At the end Capsim strategic management simulation program is introduce with its feature. Research design, data, and methodology - This study has been analyzed in a way that reviews at previous literature on simulation learning and looks at examples and features of Capsim simulation, online business simulation tools which has been used in the global market. Result - Capsim simulations are designed to offer focused opportunities for deep practice. That's why they are often more effective than passive tools such as textbooks, videos, or lectures. By the way, 'deep practice' is very different from 'ordinary practice'. After commuters who drive to school or work can accumulate thousands of hours of driving, but that doesn't make them expert drivers. The key to deep practice is self-awareness. That is, paying attention to what you are doing well and not so well. This is so important to learn that scientists use a specific term for it: 'metacognition', or thinking about the way you think and learn. Conclusion - The use of business simulation learning, such as Capsim, which is a given case, can create similar local systems by potentially engaging a large number of users in the virtual market. It could also be used as an individual to complete business training for students and those who are active in the business field of business.

The Effect of Non-Face-to-Face Classes on Class Satisfaction of Nursing Students after COVID-19

  • Kim, Young-Su
    • 한국컴퓨터정보학회논문지
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    • 제27권5호
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    • pp.165-172
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    • 2022
  • 본 연구는 COVID-19 이후 간호대학생의 비대면 온라인수업이 수업만족도에 미치는 영향을 알아보기 위해 시도하였다. 연구방법은 K대학교 간호학과 3학년(n=133)을 대상으로 구조화된 자기보고형 설문지로 조사하였으며, 수집된 자료는 SPSS/WIN 25.0 프로그램을 이용하여 분석하였다. 연구결과는 성취동기, 상호작용, 자기조절학습 및 성취동기가 수업만족도와 통계적으로 유의한 양의 상관관계가 있으며, 자기조절학습은 성취동기와 유의한 양의 상관관계를 보였다. 이에 수업만족도를 높이기 위해서는 자기조절학습, 성취동기 및 상호작용을 높이기 위한 비대면 온라인수업방법의 개발과 적용이 요구된다.

대학생의 코로나19 예방행위에 대한 영향요인 (Influencing Factors on COVID-19 Preventive Behaviors among College Students)

  • 김혜승;김윤희
    • 지역사회간호학회지
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    • 제33권2호
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    • pp.196-206
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    • 2022
  • Purpose: The purpose of this study is to identify health belief, subjective norms, social stigma, and sense of community affecting COVID-19 preventive behaviors among college students, and provide basic data for the development of preventive programs to improve COVID-19 preventive behaviors. Methods: This study used a cross-sectional study design. The study recruited a total of 170 college students, through an online survey from three online communities which are mostly used by college students. Data were collected from July 24 to August 9, 2021. The SPSS 21.0 program was used to analyze the data using simple multiple regression. Results: In simple multiple regression, the perceived susceptibility, perceived benefits and subjective norms were found to have a significant association with COVID-19 preventive behaviors of college students. These variables explained the 55.1% variance in COVID-19 preventive behaviors of college students (p<.001). Conclusion: The results of this study showed that the perceived susceptibility, perceived benefits, and subjective norms were significant factors affecting COVID-19 preventive behaviors of college students. Based on the results of this study, it is expected to develop COVID-19 preventive programs and strategies that increase perceived susceptibility, perceived benefits, and subjective norms to improve the COVID-19 preventive behaviors of college students.

대면수업과 온라인수업에 따른 수업 만족도와 자기주도 학습능력의 관계: K 대학 치기공학과 전공과목을 대상으로 (Study of the relationship between class satisfaction and self-directed learning with in person and on-line classes: focused on the major classes of the department of dental technician of K university)

  • 권순석
    • 대한치과기공학회지
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    • 제44권4호
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    • pp.132-143
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    • 2022
  • Purpose: The study aims to analyze differences in the satisfaction level of dental technology students regarding in-person and online classes. It also aims to provide fundamental resources for the improvement of major subject class methods that will improve students' self-directed learning abilities, thereby affecting their class satisfaction. Methods: In this study, a self-administered questionnaire was conducted from November 8 to November 30, 2021, for 256 dental technology students. The collected data were analyzed using the IBM SPSS Statistics ver. 21.0 statistical program. Frequency and percentage, mean, standard deviation, t-test, ANOVA, post-hoc test, correlation analysis, and linear regression analysis were performed to analyze the data. Results: In the self-directed learning abilities, the attitude of the learners was shown to have the highest positive (+) correlation in both in-person and online classes, with a statistically significant effect (p<0.001) on class satisfaction in major subject classes. Moreover, the explanatory power of the model was 52.2% and 39.7%, respectively. Conclusion: We concluded from the study that there is a need for professors to improve teaching methods to increase learners' self-directed learning competence, through problem-based learning, discussion learning, team-based collaborative learning, and mentor-mentee learning, thereby enabling learners to lead classes themselves.

패션전공 교육 개발을 위한 부산 의류제조 산업체 요구도 조사 ( A survey on the needs of the garment manufacturing industry in Busan for the development of fashion major education program)

  • 백경자
    • 복식문화연구
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    • 제31권2호
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    • pp.213-227
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    • 2023
  • To analyze the status and needs of the small- and medium-sized garment manufacturing industry in Busan, this study comprised an online survey of companies and interviews with 14 representatives of the 98 companies. The results are as follows: Approximately 34.7% of the garment manufacturers were located in Geumjeong-gu, Busan. The most common type of work was the contracting factory type. Daily production output was between 100pcs and 300pcs. Production materials comprised 42.9% woven and 24.8% knitted fabrics. Main products were menswear, uniforms, womenswear, casual wear, sports and leisure wear, protective clothes, and children's clothing. The main clients were uniform companies, main factories, wholesale markets, online shopping malls and promotion companies, exporters, and department stores. As a result of a survey on industrial needs with company representatives, their satisfaction with company employees was 57.2%, and the most important factor when hiring employees was job-related competencies, among which the ability to understand the sewing process was the most necessary. In terms of computer software literacy, illustrations and pattern CAD/CAM are required. They thought industry-university cooperation is crucial for advantage for advantage research and product development, as it allows for the sharing knowledge, resources, and especially human resources. The greatest administrative issue were human resources and funding.

디지털 학습 환경에서의 기초디자인 교육 - 기초디자인 훈련 도구(Basic Graphic Tools)의 개발을 중심으로 - (Experiencing Design Foundation in On-Line Education - By Using The Basic Graphic Tools -)

  • 이은주
    • 디자인학연구
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    • 제18권2호
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    • pp.255-264
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    • 2005
  • 개인용 컴퓨터와 인터넷의 발달은 교수자와 학습자, 학습자와 학습자의 관계변화를 야기하였으며 대표적으로 전통적인 학습방법으로서의 일대일, 면대면 수업방식은 디지털 기반의 학습모형으로 변화를 죄하고 있다. 이러한 환경의 변화는 새로운 교육 정보로서의 적절한 디자인 도구와 재료의 등장이 교수와 학습, 모두의 입장에서 필요하게 되었음을 의미한다. 본 연구는 디지털 기술 기반에서의 효과적인 기초디자인 수업을 위하여 새로운 형식의 그래픽 툴(Basic Graphic Tools)을 개발하는 데 있다. 전통적인 학습 환경과의 차이는 최소화하면서 디지털 기술에서 가능한 재료와 도구의 다양성을 최대로 이끌어내는 것이다. Basic Graphic Tools(이하 BGTs)는 학생들의 선수 지식 유무와 학습 기술의 편차, 전통적인 훈련 방식과 첨단의 방식이 공존하는 상황에서 학습자에게는 기초디자인 과정에서 요구되는 디자인 원리를 학습하고 시야를 넓힐 수 있는 디지털 디자인 도구로서, 교수자에게는 효율적이고 생산적인 강의를 위한 새로운 교육 도구로 개발되었다. 기초 디자인 훈련프로그램으로서의 BGTs개발과 실험을 통해 새로운 교육 도구로서의 활용 가능성을 살펴보고 기초디자인 교육과정에서 학습자로 하여금 수월성을 갖게 하는 것이다. 기초디자인 학습 툴로서의 신뢰성 향상을 위해 C 대학에 개설된 e강의실을 통해 디자인 작업 일부가 시행되었다. 이를 근거로 Learning Guide/Performance Test가 이루어졌으며 그 결과 매우 높은 사용 가능성을 확보하였고 동시에 추후 연구과제로서 BGTs를 이용한 기초디자인 프로그램의 개발 가능성을 타진하였다.

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봇(오토프로그램) 검출을 위한 게임 행동 패턴 모델링 (Game Behavior Pattern Modeling for Bots(Auto Program) detection)

  • 정혜욱;박상현;방성우;윤태복;이지형
    • 한국게임학회 논문지
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    • 제9권5호
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    • pp.53-61
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    • 2009
  • MMORPG (Massively Multiplayer Online Role Playing Game) 시장은 급격히 증가하고 있으며 더불어 많은 발전을 이루고 있다. 하지만 그와 동시에 많은 게임 피해사례들이 증가하고 그 사례 또한 매우 다양화되고 있다. 그 중에서도 '봇(Bots)'은 사용자의 조작 없이 자동으로 작동하면서 게임의 몰입도 뿐만 아니라 보안 측면에서도 맡은 영향을 주고 있다. 따라서 게임 제공 업체에서는 클라이언트 단에서 packet을 분석하여 봇를 분별하려 하지만 클라이언트 단에는 사용자의 조작이 용이하므로 그 정확성이 떨어진다. 본 논문에서는 게임 서버 내에서 얻을 수 있는 사용자의 행동 데이터를 분석함으로써 실제 사용자 및 봇의 행동 패턴을 모델링하고 이를 비교하여 봇 검출에 적용하는 방법을 제안한다. 이 방법을 이용하여 보다 향상된 비교 모델을 완성 하였다.

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DTV 방송프로그램의 온라인 불법전송 차단을 위한 비디오 복사본 검출 알고리즘 (Video Copy Detection Algorithm Against Online Piracy of DTV Broadcast Program)

  • 김주섭;남제호
    • 방송공학회논문지
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    • 제13권5호
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    • pp.662-676
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    • 2008
  • 본 논문은 불법복제된 DTV 방송프로그램의 온라인 불법전송을 차단하기 위한 비디오 복사본 검출 알고리즘을 제안한다. 제안한 알고리즘은 급격한 휘도 변화가 나타나는 방송영상의 비디오 프레임을 선별하여 키프레임(keyframe)을 구성한 후, 키프레임의 시 공간적 특징정보를 추출하여 사전에 등록된 방송영상 저작물들의 특징정보와 비교함으로써 해당 방송영상의 불법복제 여부를 판별하는 동영상 필터링(filtering) 기능을 제공한다. 특히 모든 프레임을 이용하지 않고 키프레임만을 추출함으로써 대용량 방송영상물의 저작권 침해 여부를 효율적으로 판단할 수 있으며, 온라인 전송과정에서 빈번히 적용되는 영상비 변환, 로고 삽입, 자막 삽입, 화질 열화 및 해상도 감소 등의 다양한 동영상 편집효과에도 강인함을 실험을 통하여 확인하였다. 또한 기존 알고리즘들과의 성능비교실험을 통하여 상대적 우수성을 평가하였다.