• The Journal of Korean Association of Computer Education
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• v.9 no.5
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• pp.31-39
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• 2006

The change into the knowledge based information society requires a transformation of educational paradigm. Accordingly, intelligent learning and distance education are attracting a fair amount of attention. To apply the instructional learning method in this field, we need to consider a individualization of learning, as it were, abstraction of fact and path through learning, which is based on learner's traits, this focus entails a argument for individualized reasoning strategy. Therefore, in this paper, we design a learner's cognitive union, which is based on X-Neuronet(eXtended Neuronet), represent learner's hierarchical knowledge is able to self-learn, and grows adaptive union by proprietor. Additionally, we propose a individualized reasoning strategy, which relies upon learner's cognitive union, and verify the validity.

• Journal of Korean Academy of Nursing
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• v.49 no.1
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• pp.92-103
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• 2019

Purpose: This study aimed to compare the effects of simulation integrated with problem based learning (S-PBL) according to the sequences of problem-based learning (PBL) and high fidelity simulation training (HFS) on knowledge, clinical performance, clinical judgment, self-confidence, and satisfaction in fourth-grade nursing students. Methods: In this randomized crossover design study, four S-PBLs on medical-surgical nursing were applied alternatively to two randomly-assigned groups of 26 senior nursing students for 8 weeks. The collected data were analyzed using an independent t-test. Results: The method of administering PBL prior to HFS led to significantly higher scores on knowledge (t=2.28, p=.025) as compared to the method of administering HFS prior to PBL. However, the latter method led to significantly higher scores on clinical performance (t=-6.49, p<.001) and clinical judgment (t=-4.71, p<.001) as compared to the method of administering PBL prior to HFS. There were no differences in the effect of the two methods on self-confidence (t=1.53, p=.128) and satisfaction (t=1.28, p=.202). Conclusion: The integration sequences of S-PBL was associated with different learning outcomes. Therefore, when implementing S-PBL, it is necessary to consider the educational goal to executes an appropriate sequence of integration.

• Korean Journal of Radiology
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• v.24 no.6
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• pp.541-552
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• 2023

Objective: Detection of pneumoperitoneum using abdominal radiography, particularly in the supine position, is often challenging. This study aimed to develop and externally validate a deep learning model for the detection of pneumoperitoneum using supine and erect abdominal radiography. Materials and Methods: A model that can utilize "pneumoperitoneum" and "non-pneumoperitoneum" classes was developed through knowledge distillation. To train the proposed model with limited training data and weak labels, it was trained using a recently proposed semi-supervised learning method called distillation for self-supervised and self-train learning (DISTL), which leverages the Vision Transformer. The proposed model was first pre-trained with chest radiographs to utilize common knowledge between modalities, fine-tuned, and self-trained on labeled and unlabeled abdominal radiographs. The proposed model was trained using data from supine and erect abdominal radiographs. In total, 191212 chest radiographs (CheXpert data) were used for pre-training, and 5518 labeled and 16671 unlabeled abdominal radiographs were used for fine-tuning and self-supervised learning, respectively. The proposed model was internally validated on 389 abdominal radiographs and externally validated on 475 and 798 abdominal radiographs from the two institutions. We evaluated the performance in diagnosing pneumoperitoneum using the area under the receiver operating characteristic curve (AUC) and compared it with that of radiologists. Results: In the internal validation, the proposed model had an AUC, sensitivity, and specificity of 0.881, 85.4%, and 73.3% and 0.968, 91.1, and 95.0 for supine and erect positions, respectively. In the external validation at the two institutions, the AUCs were 0.835 and 0.852 for the supine position and 0.909 and 0.944 for the erect position. In the reader study, the readers' performances improved with the assistance of the proposed model. Conclusion: The proposed model trained with the DISTL method can accurately detect pneumoperitoneum on abdominal radiography in both the supine and erect positions.

• Journal of the Korean School Mathematics Society
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• v.18 no.1
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• pp.123-148
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• 2015

After government released the measures to reduce private tutoring and to advance math education, the Education Ministry carrying out projects to narrow the gap of education using ICT of the agricultural, mountain and fishing villages with 'ICT Supporting Business for the rural communities'. EBS(Educational Broadcasting System) also has established a website for self-directed math learning called EBSmath and offers various and customized services. This study has been conducted on how smartifact-assisted learning on EBSmath provided by 'ICT Supporting Business for the rural communities' will affect self-directed math learning of students. In other words, the purpose of this study is to see if students of the farming villages with poor surroundings of education using ICT can acquire knowledge for themselves and organize it systematically, and then they can finally produce new knowledge while they learn through EBSmath.

• Journal of Korean Critical Care Nursing
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• v.5 no.1
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• pp.12-22
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• 2012

Purpose: This study was conducted to evaluate the learning outcomes of simulation-based practice on emergency care for patients with dyspnea in nursing students. Methods: One group pre-post experimental design with 28 nursing students was used. Simulation-based practice on the basis of SimMan Human Patient Simulator including academic lectures, simulation lab exercises and debriefing was applied for four and half hours. The learning outcomes were assessed by measuring knowledge, critical thinking, problem solving process of cognitive skills, self-confidence and learning attitudes of affective domain. Furthermore, self reported clinical performance ability of psychomotor skills was examined. Results: After the completion of simulation-based practice, there was a significant increase in the mean of following measured variables: knowledge, critical thinking, problem solving process of cognitive skills, self-confidence, learning attitudes of affective domain and clinical performance ability of psychomotor skills. Significant positive relationships were found among learning outcome measurement variables. Conclusion: Simulation-based practice is an effective method to improve cognitive skills, affective domain and psychomotor skills of nursing students. Hence, Simulation-based practice should be applied for improving current limited emergency care training for nursing students and enhancing students' competency in clinical situations.

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.163-176
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• 2024

The aim was to evaluate the effects of simulation based learning in psychiatry on self-efficacy, problem solving ability, and knowledge of nursing students. PubMed, Cochrane Library, Embase, CINAHL, KISS, RISS, and ScienceOn were searched until July 2023. A systematic review and meta-analysis was conducted of 22 studies (20 reports), with a total of 1,414 nursing students. Overall, simulation based learning in psychiatry appeared to have beneficial effects on self-efficacy (ES = 0.65, p < 0.001, I²=71%), problem solving ability (ES = 0.15, p < 0.001, I²=27%), and knowledge (ES = 0.45, p = 0.003, I²=84%). These results demonstrate that, if integrated appropriately, a simulation educational approach can be used as an active learning methodology in psychiatric academic settings.

• Journal of Korean Clinical Nursing Research
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• v.18 no.2
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• pp.228-238
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• 2012

Purpose: The purpose of this study was to examine how an Advanced Cardiac Life Support (ACLS) simulation application via smartphone effects nurses' ACLS knowledge and learning satisfaction. Methods: The participants were selected from nurses in medical Intensive Care Unit (ICU), surgical ICU and emergency room. The experimental group consists of fifty nurses who were self-learned with ACLS simulation application via smartphone and the control group of seventy-one nurses who used traditional learning materials. Outcome variables included nurses' knowledge and learning satisfaction which were collected before and after the intervention. Results: The scores of ACLS knowledge were higher in the control group compared to the experimental group (p=.001) while learning satisfaction showed no statistical difference (p=.444). In learning satisfaction, the experimental group showed higher interest than the control group (p=.019) while the control group rated higher on the item, 'the contents of education was reliable' (p=.007). Conclusion: ACLS knowledge score was graded higher in control group that used traditional learning method than the experimental group that used the smartphone application. This study showed that training with the new material significantly increased nurses' interest in ACLS education. Hence, more applications for smartphones should be developed to provide self-learning environment for nurses and improve care quality.

• Journal of Korean Biological Nursing Science
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• v.17 no.1
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• pp.19-27
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• 2015

Purpose: The aim of this study was to identify the effect of video programs of cardiopulmonary cerebral resuscitation (CPCR) education of cardiopulmonary cerebral resuscitation of nurses. Methods: The subjects of the study were 64 nurses working in a university hospital. Nurse's CPCR performance have been measured four times (pre-test, post-test at immediately, 3 months and 6 months after intervention). Data were collected from February to August 2013. Results: There were significant differences in knowledge, attitude, self-efficacy, and performance between groups by measure time. And there were significant interactions in knowledge, self-efficacy, and performance between groups, within groups, except for the attitude. The video programs of CPCR interventions appear to be effective in the improvement of knowledge, self-efficacy, and performance, as compared to the control group. Conclusion: The video programs of CPCR education was an effective intervention to improve and retain the level of knowledge, attitude, self-efficacy and performance. And the video program of CPCR education have an advantage of self-learning effect for nurses with shift work. Therefore video programs of CPCR education will be utilized for continuing nurse's education.

• Journal of Engineering Education Research
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• v.8 no.1
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• pp.20-30
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• 2005

Recently, a new education paradigm 'Self-directed Learning' has attracted considerable attention. Problem-Based Learning (PBL) has been recognized as methodology to help students expand scientific thinking and knowledge. improve applicability, develope critical knowledge, and creatively solve problems. There have been significant efforts to develope PBL-based courses in mechanical engineering. A new PBL-based, multi-disciplinary course 'Product Dissection and Design Reasoning' has been developed in this paper. The course examines the way in which products and machines work and is intended to show freshman or sophomore level students how fundamental physical principles relate to engineering practice through hands-on dissection experience : thus, the course emphasizes the importance of knowledge of the fundamental physics for design reasoning. The primary role of this course is to develop creative design manpower. This paper describes the philosophy and content of this course and presents results from one year of development.

• Annual Conference on Human and Language Technology
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• 2015.10a
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• pp.174-177
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• 2015

자가 지식 학습 프레임워크는 자연어 텍스트에서 지식 트리플을 생성하기 위한 방법 중 하나로, 문장의 의존 관계 트리 상에서 주어 개체와 목적어 개체 사이의 관계를 패턴으로 학습해 이 패턴을 바탕으로 새로운 지식 트리플을 생성한다. 그러나 이 방법은 의존 관계 트리를 생성하는 도구의 성능에 영향을 받을 뿐만 아니라 생성된 지식 트리플을 반복적으로 사용하는 자가 지식 학습의 특성상 오류가 누적될 가능성이 있다. 이러한 문제점을 해결하기 위해서 본 논문에서는 자가 지식 학습 프레임워크에서 생성된 지식 트리플을 TransR 신뢰도 함수를 사용해 신뢰도 값을 측정하여 그 값에 따라 지식 트리플을 필터링하는 방법을 제안한다. 실험 결과에 따르면 필터링 된 지식 트리플들이 그렇지 않은 지식 트리플들에 비하여 더 높은 정확률을 보여주어, 제안한 방법이 자가 지식 학습 프레임워크의 정확률 향상에 효과적임을 증명하였다.