• Title/Summary/Keyword: 관심 단계

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Stages of Concern of Korean Teachers about Software Education and the Relationship with Teacher Characteristics (SW교육 도입에 따른 교사들의 관심 단계 및 개인적 특성과의 연관성 분석)

  • Kim, Haeyoung;Kim, Soohwan
    • Journal of The Korean Association of Information Education
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    • v.20 no.4
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    • pp.387-400
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    • 2016
  • In preparation for the adoption of software(SW) education in Korea by 2018, this study examined Korean teachers' perceptions and attitudes toward SW education and their relationship with teacher characteristics. By using the Stages of Concern Questionnaire, we conducted a survey of 92 teachers who participated in an introductory level of SW teacher training. The findings indicated that 1) the teachers' profile follows the typical nonuser pattern focusing on more self-concern, with the strongest intensity at Stage 0-Unconcerned and 1-Informational concern and the lowest at Stage 4-Consequence. However, teachers' stages of concern differed from the teachers' characteristics. Male teachers exhibited more concerns at Stage 4-Consequences, Stage 5-Collaboration, and Stage 6-Refocusing than female teachers. In addition, the teachers with higher SW proficiency, SW training experiences, and longer SW teaching experience showed higher intensity at Stage 4, 5, and 6 than their counterparts. The study suggests that the implementation of SW education would be effective and facilitated when teachers receive on-going and appropriate interventions and educational supports based on their individual concerns.

The Aspect Development Architecture for AspectJ (AspectJ를 지원하는 AOP 개발 프레임워크)

  • Park Oak-Cha;Kim Jeong-Oak;Kim Jae-Woong;Yoo Cheol-Jung;Chan Ok-Bae
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.06c
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    • pp.226-228
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    • 2006
  • 관심사 분리는 소프트웨어 공학에서 핵심 문제로 다루어왔다. 기존의 OOD나 CBD등은 관심사를 분리하여 모듈화함으로써 프로그램 개발 및 유지보수를 용이하도록 발전해왔다. 하지만, 에러 처리나 로깅과 같이 여러 모듈에 산재되어 실행되는 횡단 관심사는 기존의 방법으로 해결하기 어려웠다. AOP는 이와 같은 횡단 관심사를 처리하려는 데 목적을 두고 제안된 방법으로 기존의 OOD나 CBD의 단점을 보완하면서 병행적으로 발전해왔다[1]. AOP가 나타난 가장 큰 특징은 기존의 개발 방법론을 기반으로 핵심 관심사를 개발하고 해결하기 어려운 횡단 관심사는 AOP로 개발하려는데 초기 목적을 두고 있다. 하지만, 대부분의 연구가 초기 요구사항 분석 단계에서 관심사를 명시하는데 초점을 두고 있을 뿐 구현 단계에서 효율적인 접근 방법은 아직 부족한 편이다. 본 논문에서는 Java와 AspectJ를 이용하여 구현한 간단한 사례 연구를 적용한 AOP 개발 프레임워크를 제안한다. AOP 개발 프레임워크에서는 관심사 분리, 구현, 평가의 세 단계를 기술한다. 이 중 구현단계에서는 핵심 관심사와 횡단 관심사 구현에 초점을 두고 AOP 기법에 쉽게 접근할 수 있는 방법을 기술하고 있다. 프레임워크는 프로그램 개발을 보다 용이하게 하고 확장 및 유지보수시 많은 시간을 단축시키려는데 있다.

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Analysis of Elementary Pre-service Teachers' Concern on Software Education Using the Concerns-Based Adoption Model (관심기반수용모형을 활용한 초등 예비교사의 소프트웨어 교육 관심도 분석)

  • Jo, Miheon
    • Journal of The Korean Association of Information Education
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    • v.22 no.5
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    • pp.535-543
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    • 2018
  • The purpose of this research is to analyze the current status of elementary pre-service teachers' concern on SW education using the Concern-Based Adoption Model, and to investigate issues to be considered in pre-service teacher education. The participants were 137 senior students enrolled in a university of education. A survey was conducted using the Stages of Concerns Questionnaire(SoCQ). Elementary pre-service teachers' concern on SW education was turned out to be the highest at the awareness stage, and the lowest at the consequence stage, and thus showed the 'nonuser' pattern. It also showed a 'positive nonuser' pattern by indicating a little more concern at the collaboration and refocusing stages than the consequence stage concerning the impact of SW education. In addition, no significant difference was found according to pre-service teachers' gender. In comparison with that, significant differences were found according to their programming level at the awareness, personal, consequence and collaboration stages. Based on the results of the research, suggestions were made for the improvement of the pre-service teachers' SW education program concerning the presentation of related information and the enhancement of programming capabilities.

Analysis of Early Childhood Teachers' Stages of Concern and Level of Use about STEAM : Focusing on Concern-Based Adoption Model (융합인재교육(STEAM)에 대한 유아교사의 관심단계와 활용수준 분석: 관심중심수용모형을 중심으로)

  • Lee, Suki
    • The Journal of the Korea Contents Association
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    • v.21 no.4
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    • pp.347-358
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    • 2021
  • The purpose of this study was to investigate the stage of concern and use level of early childhood teachers' STEAM, and to find out whether there is a difference in the stage of concern according to individual teachers' variables. The subjects were 242 teachers in charge of 3-5 years old kindergarten and daycare center in G city. The research tool was the stages of concern questionnaire (SoCQ). The collected data were converted to relative intensity by applying percentile conversion chart in the guidelines, and this was expressed as a concern profile graph, and t-test and ANOVA were performed to find out the difference in concern according to teacher's background variables. The research results are as follows. First, the stage of concern in early childhood teachers' STEAM was identified as a critical non-user profile. Second, the stage of concern in the teacher's STEAM was judged as a person who did not use, or was implemented for less than 2 years, and was a non-user or a novice. In addition, it was found that most of the teachers did not receive formal education for STEAM. third. There were differences in the educational background, career, current execution status of teachers, whether or not to take related courses in pre-service teacher education, and whether to plan for future implementation. And there were no differences in the majors and institution types of teachers. Based on these results, a support plan for changing the stage of concern of teachers about STEAM and improving the level of use was suggested.

Analysis on Kindergarten Teachers' Stage of Concerns about Physical Computing Based on the CBAM (관심중심수용모형을 활용한 유치원 교사의 피지컬 컴퓨팅에 대한 관심도 분석)

  • Park, Sun-Mi;Jung, Ji-Hyun;Kang, Min-Jeng
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.3
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    • pp.298-305
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    • 2019
  • This study was aimed to examine kindergarten teachers' concerns in physical computing, which corresponds to the innovative teaching method, based on CBAM. For this, a questionnaire survey was conducted targeting 118 kindergarten teachers. Percentile analysis and MANOVA using CBAM model were carried out. As a result of the research, the kindergarten teachers' concern level is analyzed to be a critical non-user pattern on the whole. However, a pattern aspect was shown with a slightly high concern in stage 1, stage 2 and stage 3 compared to a typical type, and with a low concern level in stage 4. In consequence of having implemented MANOVA, the private kindergarten teachers' concern level appeared to be significantly high in stage 4 and stage 6 compared to a public kindergarten. Also, compared to the teachers who plan to utilize physical computing from now on, the teachers who don't have a plan of the application had significantly high concern level in stage 0. The concern level score was significantly low in 1~6 stages excluding stage 3.

Exploratory Study on Elementary Teachers' Stages and its Change of Concerns about STEAM (Science, Technology, Engineering, Arts, and Mathematics) Education (융합인재교육(STEAM)에 대한 초등 교사의 관심도 변화에 관한 탐색 연구)

  • Park, Kyungsuk;Kim, Yongki;Jeon, Jaedon;Lee, Hyonyong
    • Journal of Science Education
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    • v.39 no.1
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    • pp.99-112
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    • 2015
  • This study aimed at investigating elementary teachers' stages of concerns and its changes about STEAM education. The participants of this study were 90 elementary school teachers implementing STEAM education in their schools. The Stages of Concern Questionnaire (SoCQ) was administered after the permission was granted by Hall. Data were collected three times from April, June, and December in the year of implementing the exemplary STEAM school. The results indicated that elementary school teachers' concerns toward STEAM education, the differences of the percentile scores of each stages of concerns, showed slightly low. The SoC of teachers in April showed that Awareness(Stage 0) was relatively very high and Consequences(Stage 4) was very low. However, in December, both Awareness(Stage 0) and Management(Stage 3) were very low. In particular, the percentile scores of Consequence(Stage 4) showed the big difference from 54.7 to 74.3. In addition, teachers who took science track in their high schools showed the relatively low score in the stage of Management(Stage 3). Teachers having the degree of Master of Arts presented the relatively low percentile score in the stage of Management(Stage 3). Teachers who majored in STEM related areas at the university presented the relatively low score in the stage of Management(Stage 3). The findings of this exploratory study may provide the useful insights into the integrative approaches of STEAM education.

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Analysis on Kindergarten Teachers' Stage of Concerns about Software Education: An Application of the Concerns-Based Adoption Model(CBAM) (유치원 교사의 소프트웨어 교육에 대한 관심도 분석: 관심중심수용모형(CBAM)을 중심으로)

  • Park, Sun-Mi;Jung, Ji-Hyun;Kang, Min-Jeng
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.2
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    • pp.462-471
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    • 2018
  • Even though software (SW) education has not been considered part of the current national kindergarten curriculum, in practice there is growing interest in adopting it. Teachers would be expected to play a key role in the successful introduction and implementation of new educational changes, such as SW education. In preparation for its adoption in ECE, it would be useful to determine ECE teachers' perception and attitudes toward early childhood software education. For this study, 219 ECE teachers' level of concern toward SW education was surveyed using the Stages of Concern Questionnaire. It was found that the teachers' level of concern was the highest at stage 0-Unconcerned and that they had high levels of stage management, personal and informational concern. Thus, a non-user pattern was mostly indicated. However, compared to the typical non-user pattern, the pattern aspect close to critical non-user ever appeared to some extent. In addition, a significant difference in the level of concern was shown at all stages depending on the awareness of the necessity for SW education. The teachers with SW training experience showed a higher intensity only at stage 0. There was a statistically significant difference in stages 0 and 6 depending on the future implementation decision. These results will be utilized as a resource in building an ECE teachers' support system according to their level of concern about SW education.

Load-Adaptive Management of Interest Area on a Large-scaled Distributed Virtual Environment (대규모 분산 가상환경 상에서 관심영역의 부하 적응적 관리)

  • Kim, Sang-Uk;Lee, Tae-Jong;Kim, Seong-Jo
    • Journal of KIISE:Computer Systems and Theory
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    • v.28 no.7
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    • pp.317-330
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    • 2001
  • 대규모 가상환경의 핵심은 사용자 PC의 성능에 영향을 받는 확장성에 있다. 기존의 접근 방식은 대규모 환경을 지원하기 위해 멀티캐스트를 주로 사용하였다. 그러나 멀티캐스트는 현재 멀티캐스트 하드웨어가 지원할 수 있는 그룹의 수가 제한된다는 문제점이 있다. 본 논문에서는 PC 클라이언트와 인터넷과 같은 대규모 네트워크 기반의 확장성 높은 가상환경 모델을 제시한다. 멀티캐스트 네트워크와 PC 클라이언트 사이에 위치하는 관심영역 관리자(AOIM)는 멀티캐스트 그룹과 함께 다중 필터링을 수행하여 정보의 흐름을 최적화한다. 또한, 관심영역 관리자는 사용자의 관심 패턴에 따라 관심영역(AOI)으로부터 PC 클라이언트로의 데이터 전송량을 조절한다. 관심영역은 정보의 정확도에 따라 세 단계로 구분되며, 각 단계의 구분은 네트워크 현황에 따라 적응적으로 수축 또는 확장될 수 있어 PC 클라이언트는 최적화된 가상환경 상태정보를 제공받는다. 결론적으로, 제안된 모델은 다양한 컴퓨팅 환경의 PC 클라이언트에게 정확한 최우선 관심영역 정보를 제공한다.

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Region-of-Interest Detection from a Facial Image Using Active Model (동적 모델을 이용한 얼굴 영상에서의 관심 영역 추출)

  • 이형일;김경환
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.10b
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    • pp.343-345
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    • 2001
  • 본 논문에서는 얼굴 인식 시스템에서 정면 얼굴 영상의 관심 영역을 추출하는 효율적인 방법을 소개한다. 얼굴 인식 시스템은 얼굴 요소의 특징 을 이용하여 자동으로 얼굴을 구별하는 시스템이며, 얼굴 요소로는 눈, 코, 입과 눈썹을 주로 사용한다. 본 논문에서는 동적 모델을 이용하여 눈과 입을 관심영역으로 하여 이 영역을 세 단계로 나누어 추출한다. 첫 번째로 전체 얼굴 모델을 이용하여 similarity 변환을 적용하여 얼굴의 대략적인 위치를 찾는다. 두 번째 단계에서는 얼굴 근처에서 각각의 눈, 입 모델을 비선형 변환을 적용하여 정확한 눈과 입을 찾는다. 최종 단계에서는 이렇게 맞춘 모델로부터 전체 모델을 변형시킨 후에 변형전과 후의 적합성을 판단하여 최종 위치를 정한다. 제안한 알고리즘을 130명의 영상에 대하여 적용한 결과 눈을 정확하게 추출한 경우는 120명이고, 입을 정확히 추출한 경우는 119명이었다. 본 논문에서 제안하는 관심 영역 추출 방법은 일반적인 모델 방법에 특정 목적에 적합한 모델을 혼합한 방법으로 일반적인 모델만을 적용한 방법과 프로젝션 분석 등의 특정 목적만을 위한 방법보다 좋은 결과를 얻을 수 있었다.

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Body and Region of Interest Segmentation Algorithm for Chest X-ray Image (흉부 X-ray 영상에서 몸체 및 관심영역 분할 알고리즘)

  • Park, Jin Woo;Song, Byung Cheol
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2015.07a
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    • pp.133-134
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    • 2015
  • 흉부 X-ray 영상에서 몸체 및 관심영역 분할 기법은 의료 X-ray 영상의 화질 개선 알고리즘을 더 효과적으로 적용하기 위해 전처리 단계로 영상의 물체와 배경을 분할하거나 관심영역만을 분할하는 방법이다. 보통 화질 개선 알고리즘을 적용할 때 영상의 밝기 정보나 주파수 정보를 이용하여 영상 디테일과 대비를 개선하는 방법을 사용한다. 영상 전체에 이러한 알고리즘을 적용하는 경우 불필요한 배경 정보가 포함되기 때문에 디테일과 대비가 떨어질 수 있다. 본 논문은 사용자가 보고자 하는 부분의 정보만을 사용하도록 물체를 분할하는 알고리즘을 제안한다. 1 단계로 몸체 분할 알고리즘을 이용하여 배경 성분의 정보를 제외하고 2 단계에서는 몸체의 중심인 폐와 폐사이의 장기 정보만을 볼 때의 관심영역 분할 알고리즘으로 팔이나 목, 복부의 불필요한 정보를 제외하는 방법을 제안한다.

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