• Title/Summary/Keyword: 협력가능점수

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Student-, School-, and ICT-Factors Predicting Computer-based Collaborative Problem Solving: Focusing on Analyses of Multi-level Models (컴퓨터 기반의 협력적 문제해결력 성취를 예측하는 학생과 학교 및 ICT 요인 : 다층모형 분석을 중심으로)

  • Lim, Hyo Jin;Lee, Soon Young
    • Journal of The Korean Association of Information Education
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    • v.22 no.4
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    • pp.457-471
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    • 2018
  • This study examined student- and school-level background and ICT factors that affected PISA 2015 Collaborative Problem Solving (CPS) for Korean students (4863 students from 142 high schools). A two-level hierarchical linear model (HLM) was analyzed from the basic model (model 1) with no predictors to the final model (model 5) with all predictors. Results showed that first, gender, socioeconomic/cultural backgrounds, cooperation level positively predicted CPS scores while perceived unfairness of teacher negatively predicted the outcome. Second, the more frequently ICT was used for out-of-school learning purposes, the less frequently ICT was used for entertainment purposes, and the less frequently ICT was used in schools, the higher CPS scores were. Considering ICT autonomy and social interaction variables measured for the first time in PISA 2015, students who were more interested in ICT and more autonomous in using ICT devices achieved higher CPS scores. On the other hand, the more students considered ICT important as social interaction, the less they gained CPS scores. Third, in terms of school-level characteristics, the smaller the students behavior detrimental to learning, the higher the teachers perceived positive working environment, and the fewer the number of computers available per student, the higher CPS scores were. To facilitate computer-based collaborative problem-solving competence, it is important for students to have interest and autonomy in using ICT. In addition, the guidelines of ICT use and SW curriculum need to be established in order to increase the effectiveness of using ICT device in school.

A Survey of Perception Differences Among University Students, Professors, and Practitioners on the Construction Technologies in the Fourth Industrial Revolution (4차산업혁명 건설기술에 대한 학생, 교수, 실무종사자 인식차이 조사)

  • Kim, Tae Wan;Park, Seonghun;Choi, Byungjoo;Kang, Youngcheol;Park, Kyungmo;Jeong, WoonSeong;Koo, Choongwan
    • Korean Journal of Construction Engineering and Management
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    • v.23 no.3
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    • pp.95-103
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    • 2022
  • Recently, the fourth industrial revolution has a great influence on the development of many industries as well as the construction industry. Various technologies related to the industrial revolution 4.0, such as AI and big data, have gained much attention. However, little has been known about the importance and preparedness of stakeholders of the construction industry in Korea for the industry 4.0 technologies so far. This study revealed how the stakeholders perceive and prepare for industry 4.0 using a survey. In addition, collaboration potential score for each technology was calculated to find technologies with high potential for collaboration. Result is that the importance of the technologies was evaluated high in overall, but the preparedness and implementation in university education or business was evaluated low. Technologies with high potential for industry-university collaboration are AI/big data and 3D printing/3D scanning. This study can contribute to the training of industry 4.0 experts and improving preparedness, which would enable the innovation and application of industry 4.0 technologies in the construction industry.

Role Expectations and Cooperation of Staff Nurses and Clinical Research Nurses who take care of Clinical Research Patientser (임상연구환자를 돌보는 병동간호사와 임상연구간호사의 역할기대와 협력 인식)

  • Lee, Hye-Young;Kim, Sanghee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.6
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    • pp.420-430
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    • 2021
  • This was an investigative study to identify the role expectations for clinical research related tasks that ward nurses can participate in and the awareness of cooperation between ward nurses and clinical research nurses (CRNs) and the obstacles for the same. The subjects were 66 ward nurses and 65 CRNs. The data were analyzed using descriptive statistics, the two-sample t-test, and the 𝑥2 test on SAS 9.3. As a result of this study, 4.56±0.41 ward nurses and 3.83±0.60 CRNs were found to have high role expectations of each other and statistically significant role expectations for ward nurses (p<.001). Significant differences were seen in the five categories of cooperation recognition between the two groups. Among the factors for cooperative disabilities, excessive work and lack of awareness of clinical research were ranked high. High role expectation becomes an element of role conflict. To organize the role of ward nurses and clinical research nurses in the new clinical research nursing work, procedures, establishing of effective practices, and the proper operation of an official system are expected to be necessary. To promote cooperation between the two groups, a culture of mutual trust and cooperation should be formed to enable each group to think of the other as partners and to recognize their expertise.

Development of Evaluation Index about Disaster Preparation Training (재난대응훈련 평가지표 개발에 관한 연구)

  • Park, Nam-Hee;Yeo, Wook-Hyun
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2016.11a
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    • pp.278-280
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    • 2016
  • 본 연구는 재난대응훈련시 훈련의 결과를 객관적으로 평가할 수 있는 지표를 개발하는 것이 목적이다. '재난대응 안전한국훈련'은 전 국민이 참여하는 훈련으로 재난대응 행동요령 숙지는 물론, 안전문화 확산에 기여토록 추진하고 범국가적 재난대응체제 확립을 위한 발생가능한 모든 재난유형을 대비한 국가종합훈련이다. 재난대응훈련 평가지표 개발에는 재난대응 안전한국훈련의 평가분야별 평가지표 분석 및 적용, 최종점수 100점 만점을 기준으로 평가결과 3등급(A, B, C) 부여, 중앙평가위원회에서 기관별 평가결과 및 협력도를 종합적으로 검토, 우수기관 선정 및 포상 추진, 미흡기관(C등급 하위 10%) 역량교육 및 재훈련, 기관별 미적용 평가지표는 해당 배점을 제외하는 것 등으로 지표 개발을 고려한다. 재난대응훈련 평가지표 개선을 위하여 개발된 표준훈련절차와 평가지표를 바탕으로 테스트베드를 통한 문제점을 도출한 후 운용 및 적용성을 보완하여 시스템 운영을 하도록 한다.

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Site Selection Method by AHP-based Artificial Neural Network Model for Groundwater Artificial Recharge (AHP 기반의 인공신경망 모델을 활용한 지하수 인공함양 후보지 선정 방안)

  • Kim, Gyoo-Bum;Choi, Myoung-Rak;Seo, Min-Ho
    • The Journal of Engineering Geology
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    • v.28 no.4
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    • pp.741-753
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    • 2018
  • Local drought in South Korea has recently increased interest in the efficient use of groundwater and then induces a growing need to introduce artificial recharge of groundwater that stores water in sedimentary layer. In order to evaluate the potential artificial recharge sites in the alluvial basins in Chungcheongnamdo province, an AHP (Analytical hierarchy process) model consisting of three primary and seven secondary factors was developed in this study. In the AHP model, adding candidate sites changes final evaluation score through a mathematical calculation process. By contrast ANN (Artificial neural network) model always provides an unchanged score for each candidate area. Therefore, the score can be used as a selection criterion for artificial recharge sites. It is concluded that the possibility of artificial recharge is relatively low if the score of the ANN model is less than about 1.5. Further studies and field surveys on the other regions in Korea will lead to draw out a more applicable ANN model.

A Joint ML and ZF/MMSE Detection Algorithm in Uplink for BS Cooperative System (셀간 협력 통신을 위한 상향링크 환경에서의 ML 및 ZF/MMSE를 결합한 검출 기술)

  • Kim, Jurm-Su;Kim, Jeong-Gon;Kim, Seok-Woo
    • Journal of Advanced Navigation Technology
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    • v.15 no.3
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    • pp.392-404
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    • 2011
  • In this paper, we address the issue of joint detection schemes for uplink cellular system when base station cooperation is possible for multi-user detection in multi-cell scenario. The ZF, ML, MMSE and SIC detection are analyzed and evaluated as a conventional scheme. ML attains the optimal performance but the complexity increases exponentially, ZF/MMSE have simple structure but have poor detection performance and SIC has better performance but it has large complexity and potential of the error propagation. However, they need the increased decoder complexity as the number of iteration is increased. We propose a new joint ML and ZF/MMSE detection scheme, which combines the partial ML decoding and ZF/MMSE detection, in order to decrease the decoder complexity. Simulation results show that the proposed scheme attains same or a little bit better BER performance and expect reduced decoder complexity, specially in the case of large number of Base Station are cooperated each other.

The Impact of Reflective Thinking Methods on Improvement of Pre-service Geography Teacher's Teaching Knowledge (반성방법의 차이가 예비 지리교사의 수업전문지식에 미치는 영향)

  • Lee, So-Young;Oh, Jeong-Joon
    • Journal of the Korean association of regional geographers
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    • v.17 no.4
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    • pp.459-476
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    • 2011
  • This research aims to figure out the impact of different reflective thinking methods on pre-service geography teachers' teaching knowledge. Four pre-service teachers in the same level were selected through the first simulated instruction, Then, different reflective methods were given them to carry out the reflection. Afterwards, they carried out their second simulated instruction. The change of average score of pre-service teachers was analyzed through the peer reviews and Paired samples T-test. The results are as follows. First, when the first peer review score were compared with second peer review, average score of all pre-service teachers improved. But, pre-service teachers who got cooperative reflection with a specialist had the widest variation in the increase level of average score comparing to those without reflection or reflective journal writing. Second, reflective journal writing through self-reflection led to their reflective thinking, but it did not induce them to reflective practice. Finally, pre-service teacher who got cooperative reflection with experienced teachers got the significant improvement in PCK through the T-test. In particular, it had significant statistical value in instruction section and understanding of students section. It demonstrates that the contextual section could be improved by self-reflection or repetitive class practices, while instruction section and understanding of students section needed consulting by assistants.

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A Case Study on the Effect of Online Cooperative Learning applied in Accounting Class (온라인 협력학습 회계수업 적용방안 및 효과에 관한 사례연구)

  • Song, Seungah
    • The Journal of the Korea Contents Association
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    • v.22 no.4
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    • pp.535-546
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    • 2022
  • This study tried to explore factors for improving academic achievement in online non-face-to-face education based on the survey results of a University's online cooperative learning Q&A. Due to the Corona situation, both professors and learners can easily feel psychological isolation due to the implementation of all non-face-to-face online classes. As one of the methods, it was intended to suggest the direction of future education to various teachers and learners by sharing class cases in which the online cooperative learning methodology was applied. Previous studies on non-face-to-face online learning, online cooperative learning, and learning promotion method were reviewed, and the online Q&A method was adopted as a specific learning promotion method to conduct research. In the Q&A process, learners were given an opportunity to check their learning content, share knowledge and communicate, and performance evaluation-related factors such as guaranteeing anonymity of the questioner and answerer, improvement points system, and absolute evaluation were asked. As a result of the survey analysis, it was found that they are the success factors of online cooperative learning. It is a small change that can be applied in practice in the future where online non-face-to-face learning is likely to continue, but by sharing meaningful cases of application of teaching methodologies, both professors and learners being motivated and actively involved in. It is expected that we will be able to suggest methods and directions for improving skills together by changing and supplementing the learning field.

A Study on the Faculty Evaluation Model with Considering the Characteristics of Education-Based Colleges (전문대학의 특성을 고려한 교수업적평가 모델 연구)

  • Hwang, Il-Kyu;Kim, Kyeong-Sook;Kwon, O-Young;Ahn, Tae-Won;Park, Young-Tae
    • Journal of vocational education research
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    • v.30 no.4
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    • pp.23-49
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    • 2011
  • Faculty performance evaluation system has been settled down as an uncomfortable but unavoidable system, and it is one of the most important factors to grow the college competitiveness up. In this study, we selected and surveyed faculty evaluation models of several universities and colleges in Korea, and analyzed by comparing each evaluation areas of educational achievement, college-industry collaboration, research, and service. We also identified the properties of the current faculty evaluation models of the junior colleges, and derived several problems from these models such as an imitation of four-year university model, a disorders of job evaluation with respect to the attributes of classified jobs, a large variation of individual item weights, and an insufficient reflection of major characteristics. Based on these surveys and analysis, an improved faculty evaluation model for the junior college is proposed in this study. This model proposed four basic areas-educational achievement, college-industry collaboration, research, and service by considering the importance of the college-industry collaboration in the junior college-as well as the team evaluation area. Weights of the SCI-class paper was selected as a criterion for the arrangement of objective comparison of each evaluation items. We showed the integration method of several different evaluation model with respect to the attributes of classified jobs of each faculties, and evaluation plan of variational characteristics according to the majors of individuals in this model. Finally, we introduced an area fail and rating system to operate efficiently the proposed faculty evaluation model.

The Effects of Financial Pressure and Tit for tat Strategy on Decision Making in White-collar crime (재정적 압박과 전략정보 유무가 화이트칼라 범죄 의사결정에 미치는 영향)

  • Hong, Donggyu;Jo, Eunkyung
    • Korean Journal of Forensic Psychology
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    • v.12 no.2
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    • pp.199-221
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    • 2021
  • The purpose of this study is to examine some factors affecting the decision-making process of white-collar crime. In a between-subject experiment, 102 adult white-collar workers were randomly assigned to a financial pressure condition or tit for tat strategy condition. Participants went through a decision-making process in a modified iterated prisoner's dilemma for a white-collar crime scenario to earn points. The obtained score indicated the risk of committing a crime. The lower the score, the higher was the risk of participating in a crime. The results showed that participants who received only tit for tat strategy information without financial pressure instructions showed the lowest risk of participating in a crime, and those who received only financial pressure without the strategic information had the highest risk of participating in a crime. In addition, those who received the financial pressure instructions were more likely to participate in a crime than those who did not receive financial pressure instructions regardless of the provision of strategic information. The results of this study propose the need for measures to legally relieve financial pressure, the need for education on white-collar crimes for office workers, and the need for a decision-making structure within the enterprise that is not dogmatic but cooperative and mutually verifiable.