• Journal of Digital Convergence
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• v.11 no.2
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• pp.221-228
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• 2013

A number of research studies focus on the efficacy of using such as scenario based learning. However, desirable methods have not been introduced to assess the scenario based learning. This article is to suggest a fuzzy logic based framework for scenario base learning in which more reasonable learning effects are measured. It can be solved uncertain problems of linguistic variables. Also, we suggest three measures of accuracy, comprehensibility and completeness in order to evaluate accurate effects of scenario based learning. This assessment provides the scenario to the learner in which the scenario is presented in an authentic context, and enable the learner to reach an outcome through an adequate sequence and choices. This approach enables the system to present new scenarios and outcomes based on what a user selects. In particular, the application of fuzzy logic in scenario based learning can be easily pursued certain successful path or wrong path all the way through to reach major outcome in real situation.

• The Journal of the Korea Contents Association
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• v.13 no.9
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• pp.312-321
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• 2013

The purpose of this study was to develop a scenario suited for our clinical situations and evaluate the application possibility by evaluating students' problem solving ability and learning satisfaction in simulation learning. This study consisted of contents which could be applied for varied situations such as complications and symptoms related to liver cirrhosis, looking into hyperkalemia symptoms of patients with liver cirrhosis in emergency unit. The stage of developing scenario was organized in the order of setting simulation learning objectives and situations of scenario, making algorithm, writing checklists of clinical performance appraisal, and debriefing. The scenario was constructed with monitor setting(actions), patient/mannequin(actions), expected interventions(events), and cues in chronological order, according to the scenario progression outline of Jeffries (2007). The scenario was used in 2011, consisting of 4-5 people per group of 53 senior nursing students who registered for 'clinical performance appraisal' course. The problem solving ability improved from a score of 4.05 before simulation learning to a score of 4.30 after simulation learning (t=-3.97, p<.001). The score for learning satisfaction after the simulation learning was high (4.09/5). Considering that simulation learning encouraged students to be the main body of class, this learning method can be the effective way of nursing education.

• The Journal of the Korea Contents Association
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• v.11 no.6
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• pp.279-288
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• 2011

Nursing college students' continuous clinical experiences play an important part in the development of their nursing competency. In reality, it is difficult all of students to have enough clinical experiences. We can think of simulation learning as a solution to this problem. This research attempted to develop learning contents of simulation scenario regarding pediatric nursing. We organized the contents focusing on nursing process. The application of simulation scenario showed that the educational effect. In conclusion, this research suggests that nursing college students can supply high-quality nursing services to children and their families by developing and application of simulation scenario with various cases.

• Journal of Energy Engineering
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• v.21 no.1
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• pp.33-42
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• 2012

In this study, long-term greenhouse gas reductions expected passenger sector was used for the MESSAGE. Green Car road map proposed BAU scenario, Enhanced diffusion green car scenario, and price 1, 2 scenarios was configured with four scenarios. Enhanced diffusion green car in the scenario, in 2050 compared to BAU scenario 13% of the emissions will decrease. Price 1 and Price 2 scenario is emissions reduction of 14% compared to BAU. This study consists of six chapters. Introduction of MESSAGE, creation and RES in the year and the target year set a different base line and the passenger building materials sector activities, steps for passenger sector scenario and Based on the results of running the emissions reductions were to describe.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.1318-1321
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• 2022

본 논문에서는 단일 깊이 센서를 사용하는 자율주행 시나리오에서 거리 계산에 주로 이용되는 깊이 데이터만 이용하는 객체 감지 기술을 제안한다. 우선, 해당 시나리오에서 객체 감지 학습 데이터는 깊이 데이터가 사용되지만 상대적으로 객체 감지 성능을 비교하기 위해 동일한 시간의 색상, 깊이 데이터를 함께 획득하여 학습에 이용한다. 학습모델은 객체 감지 분야에서 최근 주목 받고 있는 YOLOv5로 선정하여 색상, 깊이 데이터의 객체 감지 학습의 결과를 각각 확인하였다. 결과적으로 색상과 깊이 데이터 사이에서 객체 감지 학습 결과의 차이를 확인하며 본 논문에서 제안하는 자율주행 시나리오에 깊이 영상만 이용하는 객체 감지 기술의 문제점과 향후 자율주행 기술 발전에 기여 가능성을 확인할 수 있다.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.236-248
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• 2013

This study was to develop the simulation learning scenario using standardized patients, and to evaluate the effect of it. This study was a pre-post test design with a single group and participants were recruited from fourth-year nursing students at a university. This study has developed the case scenario for a patient with spontaneous intracerebral hemorrhage and the simulation learning using standardized patients, which was applied in this study, had improved problem solving ability and clinical performance ability on nursing students. Through this study, the nursing student will grow up to be a professional nurse by learning the nursing assessment including consciousness assessment. Also, the simulation learning scenario using standardized patient should be developed in the various fields.

• Journal of The Korean Association of Information Education
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• v.14 no.4
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• pp.571-588
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• 2010

IPTV, a convergence service of broadcasting and communication, draws an attention as an educational media that provides various advantages including top quality of screen, easy access, and protection from harmful contents. In addition, a successful IPTV learning requires learners' active participations. Yet, the research on educational applications of IPTV is at the early stage focusing on teachers and developers' perspectives. Therefore, the present study conducted a survey on learners' current IPTV usage and intentions to use. Reflecting the results of the survey, we developed learner-centered IPTV learning scenarios based on self-regulated learning strategies and suggested its implementations.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.205-209
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• 2006

This thesis is about to establish organizing process of writing the producing scenarios, one of three kinds of comics scenarios grouped by the use of each kind; creating, dramatizing, and producing. The bases of the methods to write the producing scenarios for more effective communication will be prepared by the discussions on this thesis.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.353-353
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• 2022

본 연구에서는 CMIP5(The fifth phase of the Couple Model Intercomparison Project) 미래기후시나리오와 LSTM(Long Short-Term Memory) 모형 기반의 딥러닝 기법을 이용하여 하천유량 예측을 위한 최적 학습 기간을 제시하였다. 연구지역으로는 진안군(성산리) 지점을 선정하였다. 보정(2000~2002/2014~2015) 및 검증(2003~2005/2016~2017) 기간을 설정하여 연구지역의 실측 유량 자료와 LSTM 기반 모의유량을 비교한 결과, 전체적으로 모의값이 실측값을 잘 반영하는 것으로 나타났다. 또한, LSTM 모형의 장기간 예측 성능을 평가하기 위하여 LSTM 모형 기반 유량을 보정(2000~2015) 및 검증(2016~2019) 기간의 SWAT 기반 유량에 비교하였다. 비록 모의결과에일부 오차가 발생하였으나, LSTM 모형이 장기간의 하천유량을 잘 산정하는 것으로 나타났다. 검증 결과를 기반으로 2011년~2100년의 CMIP5 미래기후시나리오 기상자료를 이용하여 SWAT 기반 유량을 모의하였으며, 모의한 하천유량을 LSTM 모형의 학습자료로 사용하였다. 다양한 학습 시나리오을 적용하여 LSTM 및 SWAT 모형 기반의 하천유량을 모의하였으며, 최적 학습 기간을 제시하기 위하여 학습 시나리오별 LSTM/SWAT 기반 하천유량의 상관성 및 불확실성을 비교하였다. 비교 결과 학습 기간이 최소 30년 이상일때, 실측유량과 비교하여 LSTM 모형 기반 하천유량의 불확실성이 낮은 것으로 나타났다. 따라서 CMIP5 미래기후시나리오와 딥러닝 기반 LSTM 모형을 연계하여 미래 장기간의 일별 유량을 모의할 경우, 신뢰성 있는 LSTM 모형 기반 하천유량을 모의하기 위해서는 최소 30년 이상의 학습 기간이 필요할 것으로 판단된다.

• Journal of The Korean Association of Information Education
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• v.18 no.1
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• pp.121-132
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• 2014

The main goal of this research is to invest the difficulties in the process of developing serious game for science learning to acquire the suggestion. We analysed the journals written by developers of game scenario on the procedure of the development and on the review of the accomplished game. Then we also interviewed the scenario developers as well as game developers. When interviewing the game developers, we passed them the thoughts and questions of scenario developers. The possible difficulties in developing serious game are form the difference of cognitions on the skills which can be embodied in the development process and interaction and communication problem between scenario developers and game developers. As a consequence of the research, we acquired some suggestions for developing serious game as follows; 1) Scenario developers and game developers must understand the concepts of serious game as well as learning theory; 2) Both scenario developers and game developers should be aware of secured technological capacity and allowed time period. 3) Scenario developer should take a part of game developer' role as using a learning contents authoring tool; 4) Scenario developers have to consistently interact with game developers in developing the games; 5) Scenario should be concretely described in detail; and 6) A Supervisor is essential to control both scenario developers and game developers.