• Title/Summary/Keyword: Collective mark system

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The Effect of the Collective Reward and Punishment Marks System on Children's Adaptation to School -Focusing on the Primary-school Children in the upper Grades- (집단상벌점제가 아동의 학교적응에 미치는 영향 -초등학교 고학년 학생들을 중심으로-)

  • Lee, Hyun-Sook
    • The Journal of the Korea Contents Association
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    • v.13 no.4
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    • pp.518-528
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    • 2013
  • A number of schools have introduced the Reward and Punishment Mark System. It has been applied to children at school in order to minimize the ill effects that are often caused by physical punishment. In this case, teachers have caused problematic issues in the course of student life guidance at school. However, the application of the personal Reward and Punishment Mark System raises many other questions as well. Accordingly, there is the necessity of making up for its weak points on the systematic level. The purpose of this study is to understand the Effect of the Collective Reward and Punishment Mark System, as a substitute punishment to the physical punishment, applying the reward and punishment mark system not to an individual but to a group. The Collective Reward and Punishment Mark System for the upper grade students of primary schools showed a positive effect which assists their adaptation to school. To put it more concretely, according to the characters of the study subjects, the system has proved that boy students are more positively affected than girl students. It has been also revealed that those students in the fourth grade experience a positive change in all areas of the adaptation to school, while those in the fifth and the sixth grade were negatively affected. Moreover, those who hold a lower rank in respect of grade achievement experienced a more positive change than those standing among a high rank. It is expected that the Effect of the Collective Reward and Punishment Marks System, on the basis of the study, possesses affirmative intervention on the field.

A Review of Collective Mark System for a Geographical Indication (지리적 표시 단체표장제도에 관한 문헌분석)

  • Yu, Ok-Kyeong;Jin, Chan-Yong;Nam, Soo-Tai
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.126-127
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    • 2016
  • 지리적 표시 단체표장은 WTO/TRIPs 협정체결을 통하여 비로소 범국가적으로 보호되기 시작한 신지식재산권이다. 지리적 표시라 함은 상품의 특정 품질 및 명성 또는 그 밖의 특성이 본질적으로 특정지역에서 비롯된 경우 그 지역에서 생산 및 제조 또는 가공된 상품임을 나타내는 표시를 말한다. 본 연구는 지리적 표시 단체표장과 관련된 연구를 중심으로 문헌분석을 수행하기 위해 2000년부터 2016년까지 우리나라 학술지에 게재된 연구를 대상으로 하였다. 국내 학술논문을 수집하기 위해 사회과학 논문 데이터베이스인 RISS와 DBpia 및 KISS에서 "지리적 표시 단체표장"의 주제어를 이용하여 검색하였다. 검색을 통해 총 24편의 논문을 수집하였다. 문헌분석을 통해 나타난 지리적 표시 표장제도에 대한 문제점과 시사점 그리고 이론적 학술적 의의를 제시하고자 한다.

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Collective Experience: A Database-Fuelled, Inter-Disciplinary Team-Led Learning System

  • Celi, Leo A.;Mark, Roger G.;Lee, Joon;Scott, Daniel J.;Panch, Trishan
    • Journal of Computing Science and Engineering
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    • v.6 no.1
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    • pp.51-59
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    • 2012
  • We describe the framework of a data-fuelled, interdisciplinary team-led learning system. The idea is to build models using patients from one's own institution whose features are similar to an index patient as regards an outcome of interest, in order to predict the utility of diagnostic tests and interventions, as well as inform prognosis. The Laboratory of Computational Physiology at the Massachusetts Institute of Technology developed and maintains MIMIC-II, a public deidentified high- resolution database of patients admitted to Beth Israel Deaconess Medical Center. It hosts teams of clinicians (nurses, doctors, pharmacists) and scientists (database engineers, modelers, epidemiologists) who translate the day-to-day questions during rounds that have no clear answers in the current medical literature into study designs, perform the modeling and the analysis and publish their findings. The studies fall into the following broad categories: identification and interrogation of practice variation, predictive modeling of clinical outcomes within patient subsets and comparative effectiveness research on diagnostic tests and therapeutic interventions. Clinical databases such as MIMIC-II, where recorded health care transactions - clinical decisions linked with patient outcomes - are constantly uploaded, become the centerpiece of a learning system.