RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제
      • 좁혀본 항목 보기순서

        • 원문유무
        • 원문제공처
          펼치기
        • 등재정보
        • 학술지명
          펼치기
        • 주제분류
          펼치기
        • 발행연도
          펼치기
        • 작성언어
        • 저자
          펼치기

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • KCI등재

        학생 포트폴리오 경진대회 심사를 위한 평가준거 개발 사례연구

        박경선(Kyungsun Park) 한국공학교육학회 2012 공학교육연구 Vol.15 No.4

        The purpose of this study is to develop an evaluation criteria for students portfolios in an annual intramural contest. To accomplish the purpose, evaluation categories and their questions were developed after previous literature, ABEEK s evaluation guidelines, and eight Universities evaluation forms were analyzed. Furthermore, experts validity tests were completed by showing that the evaluation criteria form was validated with a mean score of 4.24. Also, the inter-rater reliability was turned out with a high score of .86. The interview results by evaluators of students portfolios made the final version of evaluation criteria form include five evaluation criteria categories and their allotted score portions: overall organization(40), personal information(15), certificates and awards(5), curriculum(15), and extra-curriculum(15). The importance of overall organization was discussed from the perspectives of teachers as well as students.

      • KCI등재

        진로 선택 과목 ‘지식재산 일반’ 교사 역량모델 개발

        박경선(Park Kyungsun) 한국교원교육학회 2019 한국교원교육연구 Vol.36 No.1

        고등학교 진로 선택 과목인 ‘지식재산 일반’은 2015 개정 교육과정에 따라 2018년부터 고등학교 현장에 보급되기 시작했다. 그러나 지식재산 교과교육의 기초연구 없이 탄생한 ‘지식재산 일반’에 대한 체계적인 교사 교육과정이나 교원연수 프로그램은 매우 부족한 실정이다. 이에 본 연구의 목적은 ‘지식재산 일반’ 과목을 담당할 교사가 보유해야 할 역량을 규명하여 역량모델을 개발하는 것이다. 이를 위해 교원의 역량모델에 대한 선행연구 분석, 2017년 연구 협력학교(9개교) 및 2018년 선도학교(22개교) 운영을 통해 수집한 교수·학습 자료 분석, 교사 직무연수의 참여관찰, 우수 수행 교사 대상의 포커스 그룹 인터뷰, 델파이 조사 분석 등을 통해 ‘지식재산 일반’ 교사 역량모델을 개발하였다. ‘지식재산 일반’ 교사 역량모델은 총 4개 역량군, 18개 역량 및 52개 역량지표로 개발되었다. ‘지식재산교육 내용전문가 역량군’은 교사의 교과 내용전문성 증진을 위한 5개 역량과 20개 역량지표로, ‘지식재산교육 수업 역량군’은 교사의 교과교육 전문성 증진을 위한 5개 역량과 15개 역량지표로, ‘지식재산교육 진로지도 역량군’은 교사의 지식재산 기반 진로지도 능력 증진을 위한 4개 역량과 10개 역량지표로, 그리고 ‘지식재산교육 전문가 자기계발 역량군’은 교사의 지식재산교육 전문성 향상을 위한 자기계발 4개 역량과 7개 역량지표로 개발되었다. ‘지식재산 일반’ 교사 역량모델은 고교학점제 하에서 융합교육을 촉진하는 진로 선택 과목에 대한 교사 역량 계발을 위해 유용하게 활용될 수 있기를 기대해 본다. The elective subject for high school career education, ‘Introduction to Intellectual Property’, has begun to be introduced in 2018 in accordance with the revised 2015 national curriculum. However, there is a lack of systematic teacher education courses or teacher training programs for the subject, which were established without the fundamental study of intellectual property education. Therefore, the purpose of this study is to develop a competency model by identifying the competencies of teachers in charge of the subject, Introduction to Intellectual Property . To accomplish the goal, the teacher competency model was developed through analysis of a variety of teachers competency models, analysis of teaching & learning data collected through the operation of 9 research and cooperation schools in 2017, and 22 leading schools in 2018, observation of teachers participation in teacher training programs, qualitative analysis of high-performing teachers’ focus group interviews, and Delphi survey. Finally, the teacher competency model has been developed with a total of four competency groups, 18 competencies and 52 competency indicators. The Subject Matter Expert’s Competency Group consists of 5 competencies and 20 indicators for teachers content specialties of Intellectual Property, and the Instructional Competency Group has 5 competencies and 15 indicators for teachers instructional design and development. The Career Education Competency Group is developed with 4 competencies and 10 indicators for teachers intellectual property based career guidance capabilities, and the Self-development Competency Group is composed of 4 self-development competencies and 7 indicators for teachers self-discipline in the field of intellectual property education. The teacher competency model could be useful in developing teachers competency for career elective subjects that promote convergence education under the high school credit system.

      • KCI등재

        대학원 수업실행과 학술연구 분석에서의 ChatGPT 활용 사례연구

        박경선(Kyungsun Park) 학습자중심교과교육학회 2024 학습자중심교과교육연구 Vol.24 No.8

        목적 본 연구는 대학원 수업의 교수 및 학습 측면에서 ChatGPT의 활용 가능성을 탐색하였으며, 수업 운영을 통해 수집된 질적 및 양적 자료에 대한 분석도구로써의 ChatGPT의 기능을 검토하였다. 방법 본 연구에서는 대학원생 21명이 ChatGPT를 사용하여 질문생성 과제를 수행하면서 학술논문을 리뷰하는 수업을 운영하였으며 수업에 대한 형성평가와 총괄평가를 실시하여 수집한 대학원생들의 ChatGPT 유용도 평가자료를 ChatGPT-4로 분석하였다. 결과 분석 결과, 대학원생들은 ChatGPT의 사용은 학술논문의 깊이 있는 이해를 돕는데 유용한 것으로 보고하였다. 또한 ChatGPT를 활용한 자료 분석 과정에 있어서 오류가 발생함에 따라 연구자가 ChatGPT가 분석한 결과를 검토하고 수정하는 절차가 요구됨을 확인하였다. 그러나 생성형 AI 기술의 발전과 사용자의 프롬프트 구성 능력의 향상을 통해 이러한 오류는 점차 줄어들 것으로 예상된다. 결론 이 연구는 교육 및 학술연구 분야에서 ChatGPT의 사용 현황을 조사하고, 대학원 수업 및 학술연구에서 ChatGPT를 활용한 사례로써 고등교육 및 학술연구를 위한 ChatGPT 도입 효과 및 개선 방안에 대한 시사점을 제공한다. Objectives This study explored the potential use of ChatGPT in the teaching and learning aspects of a graduate course and reviewed its function as an analytical tool for qualitative and quantitative data collected through the course operations. Methods In this study, 21 graduate students used ChatGPT to generate questions while reviewing academic journal articles as part of their coursework. The study conducted formative and summative evaluations of the course and analyzed the collected data on the use of ChatGPT among graduate students using ChatGPT-4. Results The analysis indicated that the use of ChatGPT was helpful in deepening the understanding of academic journal articles. However, errors were encountered in the data analysis process using ChatGPT, necessitating the researcher to review and correct the outcomes derived from ChatGPT. Nevertheless, it is expected that such errors will decrease over time with advancements in generative AI technology and improvement in users' prompt construction skills. Conclusions This study investigates the current use of ChatGPT in education and academic research and provides insights into the effectiveness and improvement strategies for incorporating ChatGPT in higher education and scholarly research, serving as a case study of ChatGPT's application in graduate courses and academic research.

      • KCI등재

        대학생의 자아존중감이 분노에 미치는 영향 : 수치심과 이차분노사고의 매개효과

        오충광(Oh Chungkwang),박경선(Park kyungsun) 한국문화융합학회 2021 문화와 융합 Vol.43 No.12

        본 연구는 대학생의 자아존중감과 분노와의 관계를 살펴보고, 수치심과 이차분노사고의 매개효과를 검증하고자 하였다. 이를 위하여 대학에 재학 중인 남녀 대학생 693명을 대상으로 자아존중감 척도, 내면화된 수치심 척도, 상태-특성분노 표현 척도, 이차분노사고 척도로 구성된 자기보고식 설문을 실시하였다. 본 연구의 결과는 다음과 같다. 첫째, 상관분석 결과 자아존중감은 특성분노, 수치심, 이차분노사고와 유의한 부적상관이 있었다. 둘째, 경로분석 결과, 연구모형이 경쟁모형보다 더 적합한 것으로 나타났다. 이는 자아존중감이 분노에미치는 영향을 수치심과 이차분노사고가 순차적으로 매개함을 의미한다. 그리고 낮은 자아존중감으로 분노 문제가 있는대학생들에게는 수치심과 이차분노사고를 낮추는 상담적 개입이 효과적임을 시사한다. 마지막으로 본 연구의 한계 및 후속 연구를 위한 제언을 논의하였다. The purpose of this study was to investigate the mediating effects of shame and secondary anger thoughts in the structural relations between self-esteem and anger in college students. For the study, an self-report survey consisting of Self-Esteem Scale, Internalized Shame Scale, State-Trait Anger Expression Inventory and Secondary Anger Thought Scale was conducted on 693 university students. The results were as follows: First, self-esteem has a negative correlation with trait anger, shame and secondary anger thoughts. And shame, secondary anger thoughts, trait anger have a positive correlation with each other. Second, it was found that shame and secondary anger thoughts mediated sequentially the relationship between self-esteem and anger. The limitation of the study was also discussed along with suggestions for the future research.

      • KCI등재
      • 신바젤협약(BASEL Ⅱ) 도입이 상업용 부동산개발금융에 미치는 영향

        박경선 영산대학교 2006 영산논총 Vol.16 No.-

        The Basel Accord, which goes into effect since 1988, is expected to be replaced with the New Basel Accord (Basel Ⅱ) by the end of the year 2006. The New Accord consists of three pillars: (1) minimum capital requirements, (2) supervisory review of capital adequacy, and (3) public disclosure. Under the proposed New Accord the minimum required ratio of 8% is not changing. The modifications are occurring in the definition of risk-weighted assets, that is in the methods used to measure the risks faced by banks. The new approaches for calculating risk-weighted assets are intended to provide improved bank assessments of risk and thus to make the resulting capital ratios more meaningful. The second pillar of the New Accord is based on a series of guiding principles, all of which point to the need for banks to assess their capital adequacy positions relative to their overall risks, and for supervisors to review and take appropriate actions in response to those assessments. The purpose of pillar three is to complement the minimum capital requirements of pillar one and the supervisory review process addressed in pillar two. This paper aims to find out the impact of the New Basel Accord(Basel Ⅱ) on the finance of commercial real estate development. According to my Analysis, the New Basel Accord has negative effect on the finance of commercial real estate development because of high risk weights for HVCRE (High-Volatility Commercial Real Estate) exposures and procyclicality of the New Basel Accord.

      • KCI등재

        대단위배출원에서 기인한 입자상오염물질의 확산·추적을 통한 ISCST3모델과 수용모델의 비교연구

        전상기,이성철,박경선 한국대기환경학회 2003 한국대기환경학회지 Vol.19 No.6

        The purpose of this study is to compare the usefulness between Gaussian dispersion model and receptor model with the experimental result of the dispersion tracing of the particulate pollutants from Taean coal-fired power plants. For this purpose, the component analysis of the collected PM 10 samples was performed. In order to trace the pollution sources, factor analysis was done with the result of the component analysis. As a result of the correlativity analysis of the fifteen power plants' profiles offered by US EPA, the correlativity of No.1 1202 source profile showed highest rate up to 84.5%. Thus it was adopted as proper one and the contribution rate by each pollution source was calculated by Chemical Mass Balance (CMB)-8 model. The contribution rate, which was the effect rate of the power plants on each measuring point, were calculated with a range of 24~52% and the standard error was below 0.9㎍/㎥. This indicates the selection of the source profile was appropriate. Also, the concentrations of each point were calculated by the ISCST3 which is suggested by US EPA as one of the regulatory Gaussian dispersion model. The calculation result showed that the predicted concentration was 50~58㎍/㎥, comparing with the measured result of 9~65㎍/㎥. It was found that the concentration calculated by ISCST3 was underpredicted. It was thought that the receptor model was more favorable than the Gaussian dispersion model in estimating the effect of the particulate matter on a certain receptive point.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼