• 한국응급구조학회지
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• 제17권2호
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• pp.77-87
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• 2013

Purpose : The purpose of this study was to develop a scenario and to evaluate the students by simulation-based learning of acute abdominal pain case in an emergency unit. The expert group of simulation developed the scenario based on actual abdominal pain by medical treatment records. Methods : Scenario was developed to evaluate the simMan3G simulation-based learning. The scenario was used in 2013 with ten groups of fourth grade 50 nursing students who voluntarily participated in the simulation class. Results : The nursing students were able to express nursing knowledge, learning attitude and self-efficacy. The simulation-based scenario proved to be very effective to students' skill training. The performance of nursing practice through simulation class made the nursing students more confident with patient care. Conclusion : Simulation-based learning was found to be the most effective curriculum to the nursing students and made the students satisfied and confident. So the simulation-based learning would be helpful to other students including paramedic students and medical school students.

• 공학교육연구
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• 제14권3호
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• pp.9-14
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• 2011

본 연구는 협동학습에서 팀 프로젝트를 수행하는 공대생들을 대상으로 학습양식유형 및 셀프리더십이 팀 수행 성적과 어떤 관련성이 있는 지를 파악함으로써 협동학습 효과의 극대화를 위한 기초소양교육 프로그램을 구성하는 데 도움이 되는 기초정보를 제공하기 위해 수행되었다. 팀 수행 성적이 상, 하위 30%에 해당하는 집단 간에 학습양식유형의 분포를 비교한 결과, 상위권 집단의 약 70%가 수렴자와 적응자에 해당된 반면, 하위권 집단의 약 67%가 적응자와 분산자에 해당되었다. 또한 상위권 학생들의 셀프리더십이 전반적으로 높았고, 특히 자기관찰, 자기처벌, 자연적 보상, 성공적 수행 상상하기, 자기대화, 신념과 가정분석 전략을 더 잘 실천하는 것으로 나타났다. 마지막으로 본 연구의 제한점과 후속연구를 위한 제언이 논의되었다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.38-40
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• 2021

의료 데이터 분야는 레코드 수는 많지만 응답값이 없기 때문에 인공지능을 적극적으로 활용하지 못하고 있다. 이러한 문제점을 해결하기 위해 자기지도학습(Self-Supervised learning)을 의료 분야에 적용하는 연구가 등장하고 있다. 자기지도학습은 model이 레이블링이 없는 데이터의 semantic 표현을 이해할 수 있도록 pretext task와 supervision을 학습한다. 그러나, 자기지도학습의 성능은 pretext task로 학습한 표현에 의존하므로 데이터의 특성에 적합한 pretext task를 정의할 필요가 있다. 따라서 본 논문에서는 의학 데이터 중 활용도가 높은 x-ray 이미지에 적용할 수 있는 pretext task를 실험적으로 탐색하고 그 결과를 분석한다.

• 대한치과교정학회지
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• 제52권2호
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• pp.102-111
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• 2022

Objective: To develop and explore the usefulness of an artificial intelligence system for the prediction of the need for dental extractions during orthodontic treatments based on gender, model variables, and cephalometric records. Methods: The gender, model variables, and radiographic records of 214 patients were obtained from an anonymized data bank containing 314 cases treated by two experienced orthodontists. The data were processed using an automated machine learning software (Auto-WEKA) and used to predict the need for extractions. Results: By generating and comparing several prediction models, an accuracy of 93.9% was achieved for determining whether extraction is required or not based on the model and radiographic data. When only model variables were used, an accuracy of 87.4% was attained, whereas a 72.7% accuracy was achieved if only cephalometric information was used. Conclusions: The use of an automated machine learning system allows the generation of orthodontic extraction prediction models. The accuracy of the optimal extraction prediction models increases with the combination of model and cephalometric data for the analytical process.

• 수산해양교육연구
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• 제28권4호
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• pp.1057-1067
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• 2016

National Competency Standards are the major administrative project to build a competence-based society. The manpower for the global society should be recognized by performance rather than educational records. Therefore, all colleges should first nurture NCS-type manpower based on field needs. This study comparatively analyzed the differences between the lecture style of four-year colleges and the outcomes of problem-solving and project-based learning method to prove why it is necessary to introduce the NCS program. Especially, It will review the constraints and measures of NCS introduction to overcome in a four-year university. Through this, it can be used as a means to help improve the field conformity of a four-year college curriculum by presenting the development and utilization of curriculum-based NCS in a four-year university. As a result, it was found that the overall satisfaction with the problem-solving and project-based learning method was above average. Many students were dissatisfied with the traditional teaching methods and the new project-based learning method was relatively effective in college education. Students' participation also improved. Based on the evaluation of learning performance, the new method was found more satisfactory than the old teaching method in terms of comprehension of professional knowledge in various fields, nurturing of logical thinking skills, acquisition of analytical skills, comprehensive thinking skills, creative problem recognition, and open-minded thinking skills.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 추계학술대회
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• pp.993-996
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• 2009

본 연구의 목적은 학습자가 학습하는 과정에서 마주치게 되는 질의와 문제들의 해결책을 찾도록 도와서 언제, 어디서, 누구나, 적시적, 적응적으로 학습할 수 있는 환경을 제공하는데 있다. 본 연구는 기존의 참고문헌들의 연구를 통해 시멘틱 웹과 온톨로지 이론를 고찰한 후 문제를 풀 수 있는 온톨로지화의 가능성을 찾고자 하였다. 그 결과로 전자회로에 관한 온톨로지 프레임을 구축하였고 시멘틱 웹 기반 온톨로지 상에서의 e-learning 적용에 관한 연구를 하였다.

• International journal of advanced smart convergence
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• 제11권2호
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• pp.194-204
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• 2022

This study is a one-group pretest-posttest design to evaluate the effect of problem-based learning (PBL) for patient safety on self-leadership, patient safety competencies, and reflective thinking of nursing students. The research was conducted from March 2 to April 15, 2022, in which 57 nursing students participated. PBL for patient safety was examined in a total of 8 sessions in the order of motivation, problem identification, task performance planning, problem-solving methods, summary and solution, presentation, and evaluation. The following topics of patient safety were selected for each team: nursing records, high-alert medication, medication error and intravenous fluid regulation, blood transfusion care, fall, bedsore, infection control, and pain management. We provided feedback on the learning process and outcomes of nursing students. According to the results, self-leadership showed a statistically significant improvement in self-expectations (t=2.60, p=0.01), goal setting (t=2.84, p<0.01), self-reward (t=3.32, p<0.01), and self-criticism (t=2.32, p=0.02). Patient safety competencies showed a statistically significant improvement in patient safety knowledge (t=13.05, p<0.001) and patient safety skills (t=4.87, p<0.001) but not in reflective thinking. The results prove that PBL for patient safety is an effective teaching-learning strategy to improve self-leadership and patient safety competencies. Future studies must develop and validate specific and long-term teaching-learning methods to improve reflective thinking.

• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.331-337
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• 2022

Smart learning is augmented with digital, context-aware, and adaptable technologies to encourage students to learn better and faster. To ensure that digital learning is successful and that implementation is efficient, it is critical that the dimensions of digital learning are arranged correctly and that interactions between the various elements are merged in an efficient and optimal manner. This paper builds and discusses a basic framework for smart learning in the digital age, aimed to improve students' abilities and performance in learning. The proposed framework consists of five dimensions: Teacher, Technology, Learner, Digital content, and Evaluation. The Teacher and Learner dimensions operate on two levels: (a) an abstract level to fit in knowledge and skills or interpersonal characteristics and (b) a concrete level in the form of digital devices used by teachers and learners. Moreover, this paper proposes asynchronous online course delivery model. An Arabic smart learning platform has been developed, based on these smart learning core dimensions and the asynchronous online course delivery model, because despite the official status of this language in many countries, there is a lack of Arabic platforms to teach Arabic. Moreover, many non-native Arabic speakers around the world have expressed an interest in learning it. The Arabic digital platform consists of over 70 lessons classified into three competence levels: beginner, intermediate, and advanced, delivered by Arabic experts and Arabic linguists from various Arab countries. The five dimensions are described for the Arabic platform in this paper. Learner dimension is the Arabic and non-Arabic speakers, Teacher dimension is Arabic experts and Arabic linguistics, Technology dimension consists of technology for Arabic platform that includes web design, cloud computing, big data, etc. The digital contents dimension consists of web-based video, records, etc. The evaluation dimension consists of Teachers rating, comments, and surveys.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1996년도 춘계학술대회
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• pp.305-310
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• 1996

The objective of this paper is to develop computer assisted learning system for the education of cardiac disease using multimedia. Total 20 cases of disease was selected and their asculation, X-Ray, ECG, Sanography, Angiogram and RI-Study results can be shown on the computer screen. The references about cardiology, surgical process can be also shown on the screen and the computer can test and score their records for the evaluation. This system will be widely applied for the education of medicine combined wi th the communication network.

• ETRI Journal
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• 제43권4호
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• pp.694-701
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• 2021

Catastrophic events cause casualties, damage property, and lead to huge social impacts. To build common standards and facilitate international communications regarding disasters, the relevant authorities in social management rank them in subjectively imposed terms such as direct economic losses and loss of life. Terrorist attacks involving uncertain human factors, which are roughly graded based on the rule of property damage, are even more difficult to interpret and assess. In this paper, we collected 114 183 open-source records of terrorist attacks and used a machine learning method to grade them synthetically in an automatic and objective way. No subjective claims or personal preferences were involved in the grading, and each derived common factor contains the comprehensive and rich information of many variables. Our work presents a new automatic ranking approach and is suitable for a broad range of gradation problems. Furthermore, we can use this model to grade all such attacks globally and visualize them to provide new insights.