• 제목, 요약, 키워드: 사례기반학습

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Empirical Study and Evaluation of Case-Based Learning for Improvement of Learning Outcome (학습 성과 개선을 위한 사례기반 학습의 실험적 연구 및 평가)

  • Kim, Seong-Kee;Kim, Young-Hak;Yoon, Hyeon-Ju
    • The Journal of Korean Association of Computer Education
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    • v.14 no.6
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    • pp.53-64
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    • 2011
  • This paper proposes and evaluates empirically a new recommendation method in order to improve the learning achievement of learners using case-based method. In this paper, we first carried out a survey targeting teachers who work currently in Gyeongbuk area, and constructed learning cases depending on critical factors of learning. We next recommended differentiated learning methods to learners classifying according to learning cases by achievement level through this survey. The students of a middle school took part in the experiment in order to evaluate empirically the proposed learning cases. The students were divided into three groups by their achievement level and three separate learning cases were applied to each group. The weights among learning improvement elements applying to each group were added through the survey result of teachers. The experiment using the proposed case-based recommendation method showed that the learning achievement of learners is improved considerably compared to the previous one.

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The Influence of Case-Based Learning using video In Emergency care of infant and toddlers (영유아 응급처치 교육에서의 동영상 활용 사례기반학습의 효과)

  • Cho, Hye-Young;Kang, Kyoung-Ah
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.12
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    • pp.292-300
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    • 2016
  • The purpose of this study was to investigate the effects of case-based learning about infants and toddlers on healthcare department students, using a video in an emergency care environment. A total of 57 students from a healthcare department of D university in J city were enrolled. They were divided into two groups: The experimental group (n=29) and the control group (n=28). This study is pre-post designed with a non-equivalent control group. The experimental group received a 1-week education for a duration of 3 weeks (3 sessions in total) with 180 minutes per session. The control group received a traditional curriculum of lecture. Before and after the education, we measured the knowledge and skill confidence of emergency care toward infants and toddlers, the academic self-efficacy, and problem solving ability. Data collection and intervention were carried out from November to December of 2014. Data were analyzed with x2-test, paired t-test, unpaired t-test with SPSS version 20.0 Program. The experimental group showed a significantly higher improvement of skill confidence of emergency care toward infants and toddlers (P<001), as well as preferred task difficulty among sub-items of academic self-efficacy (p=.029), approach avoidance style (P=.001), and problem solving confidence (p=.040) among sub-items of problem solving ability on preference compared with the control group. In this study, a case-based learning was verified to be an effective teaching method to enhance professional competency of healthcare department students. The findings from this study suggest that a case-based learning using various educational contents should be developed, expanded, and carried out to promote better learning.

The effects of Multimedia Case-based Learning on Preservice Teachers' Critical Thinking and Practices (멀티미디어 사례기반학습이 예비교사의 비판적 사고 성향과 수행능력에 미치는 효과)

  • Park, Sung-Hee
    • The Journal of Korean Association of Computer Education
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    • v.14 no.5
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    • pp.19-28
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    • 2011
  • The purpose of the study is to investigate the effects of multimedia case-based learning on preservice teachers' critical thinking disposition and practices. Forty-nine students among the seventy-five preservice teachers who enrolled in the class, Introduction to Special Education, participated in this study. Pretest and a case were presented at the beginning of the semester and then 4 cases and multimedia learning resources were provided during 13 weeks. In addition, small and whole class discussion were used for learning activities to share their opinions. At the end of the semester, the posttest and practices regarding a new case data were collected. Results found that no significant difference in the critical thinking disposition survey, however, the multimedia group showed better practices in a new case than the control group. Suggestions and future research were discussed.

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Instance-Based Learning for Intrusion Detection (네트워크 침입 탐지를 위한 사례 기반 학습 방법)

  • 박미영;이도헌;원용관
    • Proceedings of the Korean Information Science Society Conference
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    • pp.172-174
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    • 2001
  • 침입 탐지란 컴퓨터와 네트워크 지원에 대한 유해한 침입 행동을 식별하고 대응하는 과정이다. 점차적으로 시스템에 대한 침입 유형들이 복잡해지고 전문적으로 이루어지면서 빠르고 정확한 대응을 할 수 있는 시스템이 요구되고 있다. 이에 따라, 대용량의 데이터를 지능적으로 분석하여 의미있는 정보를 추출하는 데이터 마이닝 기법을 적용함으로써 지능적이고 자동화된 탐지를 수행할 수 있도록 한다. 본 논문에서는 학습 데이터를 각각 사례로 데이터베이스에 저장한 후, 실험 데이터가 입려되면 가장 가까운 거리에 있는 학습 데이터의 크래스로 분류하는 사례 기반 학습을 이용하여 빠르게 사용자의 이상 행위에 대해 판정한다. 그러나 많은 사례로 인해 기억 공간이 늘어날 경우 시스템의 성능이 저하되는 문제점을 고려하여, 빈발 에피소드 알고리즘을 수행하여 발견한 순차 패턴을 사례화하여 정상 행위 프로파이로 사용하는 순차패턴에 대한 사례 기반 학습을 제안한다. 이로써, 시스템 성능의 저하율을 낮추고 빠르며 정확하게 지능적인 침입 탐지를 수행할 수 있다.

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Teacher Training Program Emphasis on Knowledge in Technology Integration in Teaching and Learning: American N University Instructional Systems Technology Program Case Study (디지털 기반 교수-학습 지식습득을 위한 교사교육 프로그램: 미국 N대학 교육공학과 사례를 중심으로)

  • Lee, Hannah
    • The Journal of the Korea Contents Association
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    • v.18 no.2
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    • pp.320-333
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    • 2018
  • The study introduced an actual American university program student's learning outcomes in instructional technology integration knowledge in order to acknowledge implication considering the current status of relevant Korean teacher training programs. With utilizing complete sampling (students enrolled in a master's program in Instructional Systems Technology at the N University in Fall 2015), the survey was conducted on knowledge, strategies and performance in instructional technology integration, and interview assessed deeper understanding of students' relevant competencies in their specific professional setting. The results and findings based on triangulation of the data confirmed that the students gained sufficient knowledge, and applied the relevant knowledge and competencies into their work setting. For future research, the implications were offered on reviewing Korean teacher training programs in professional competency development related to technology integration in teaching and learning.

A Convergence Study on the Effects of Case-Based Learning and Cornell Notes on Self-Directed Learning Ability, Critical Thinking Disposition, and Teamwork of Underachieving Nursing Students in Human Anatomy Course (인체해부학 수업에서 사례기반 및 코넬식 노트를 활용한 학습법이 학습부진 간호대학생의 자기주도학습 능력, 비판적 사고 성향 및 팀워크에 미치는 영향에 관한 융합 연구)

  • Lee, Eun-Mi;Jang, Mi-Kyeong;Kim, Mi-Young
    • Journal of the Korea Convergence Society
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    • v.11 no.8
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    • pp.351-360
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    • 2020
  • This study is mixed design to measure the effects of case-based learning and the Cornell notes-taking system in human anatomy course, the basic course in nursing, on self-directed learning ability, critical thinking dispositon, and teamwork of nursing students. Among those who completed anatomy course, 34 underachieving students were targeted and surveyed before and after classes, and interviewed on case-based learning and Cornell notes-taking system. For quantitative analysis, SPSS/WIN 21.0 was used for frequency analysis, paired t-test, and Pearson's correlation coefficients. For qualitative research, content analysis was performed. The results showed significant increases in self-directed learning ability(t=-9.69, p<.001), critical thinking dispositon(t=-7.75, p<.001), and teamwork (t=-12.43, p<.001) in underachieving nursing students. In addition, there was a significant correlation between self-directed learning ability, critical thinking dispositon, and teamwork. In conclusion, case-based and Cornell notes learning methods were effective in helping underachieving students enrolled in human anatomy course. There is a need for continuous research on the use of case-based and Cornell notes in other courses.

Automatic Classification of Learning Objects Using Case-based Cohesion for Learning Management System (학습관리시스템을 위한 사례 기반 응집도를 이용한 학습객체 자동 분류)

  • Kim, Hyung-Il;Yoon, Hyun-Nim
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.12
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    • pp.2785-2791
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    • 2012
  • In this paper, a method for automatic classification of learning objects is proposed for effective management and reuse of learning contents. Proposed method will create cohesion of learning objects using cases of learning objects and perform automatic classification of learning objects by measuring their relationship based on cohesion. Application of proposed method to learning management system has the advantage of reducing the costs for developing learning contents. Simulation has shown the average accuracy of 28.20% with probability-based method and 56.38% with cohesion-based method. Simulation has proved that the method proposed in this paper is effective in automatic classification of learning objects.

Design of the learning module and the learning strategy for the NCS-based programming subject - A case study (NCS 기반 프로그래밍 교과의 학습 전략안과 학습 모듈의 설계-사례연구)

  • Kim, Jae-Saeng;Hyun, Jeong-Hee
    • Proceedings of the Korea Contents Association Conference
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    • pp.559-560
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    • 2018
  • 최근 국내 신입사원 입사시험에 NCS 직업기초능력시험을 도입함에 따라 국내 각 대학교나 교육기관에서는 NCS 기반의 전공교육 및 교양교육을 도입하고 있다. 이에 따라 프로그래머를 지향하는 공학도를 위한 NCS 기반 프로그래밍 능력을 향상시켜줄 수 있는 교수-학습 지침안이 필요하게 되었다. 본 연구에서는 학습 모듈을 도출하기 위한 분석과정을 거쳐 본 교과의 학습로드맵과 NCS능력단위요소를 기반으로 학습자 스스로 NCS 프로그래밍 능력을 향상시킬 수 있는 교수-학습 모듈을 설계하였다.

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Analysis of Judicial Precedent Information related to Debt Recovery based on Deep-Learning (심층 학습 기반의 채권 회수 판례 분석)

  • Kim, Seon-wu;Ji, Sun-young;Choi, Sung-pil
    • Annual Conference on Human and Language Technology
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    • pp.373-377
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    • 2018
  • 판례는 재판에 대한 선례로, 법적 결정에 대한 근거가 되는 핵심 단서 중 하나이다. 본 연구에서는 채권회수를 예측하는 서비스 구축을 위한 단서를 추출하기 위해 채권 회수 판례를 수집하여 이를 분석한다. 먼저 채권 회수 판례에 대한 기초 분석을 위하여, 채권 회수 사례와 비회수 사례를 각 20건씩 수집하여 분석하였으며, 이후 대법원 및 법률 지식베이스의 채권 관련 판례 12,457건을 수집하고 채권 회수 여부에 따라 가공하였다. 채권 회수 사례와 비회수 사례를 분류하기 위한 판례 내의 패턴을 분석하여 레이블링하고, 이를 자동 분류할 수 있는 Bidirectional LSTM 기반 심층학습 모델을 구성하여 학습하였다. 채권 관련 판례 가공 기준에 따라 네 가지의 데이터 셋을 구성하였으며, 각 데이터셋을 8:2의 비율로 나누어 실험한 결과, 검증 데이터에 대하여 F1 점수 89.82%의 우수한 성능을 보였다.

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Potential-based Reinforcement Learning Combined with Case-based Decision Theory (사례 기반 결정 이론을 융합한 포텐셜 기반 강화 학습)

  • Kim, Eun-Sun;Chang, Hyeong-Soo
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.12
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    • pp.978-982
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    • 2009
  • This paper proposes a potential-based reinforcement learning, called "RLs-CBDT", which combines multiple RL agents and case-base decision theory designed for decision making in uncertain environment as an expert knowledge in RL. We empirically show that RLs-CBDT converges to an optimal policy faster than pre-existing RL algorithms through a Tetris experiment.