• 컴퓨터교육학회논문지
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• 제19권2호
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• pp.1-10
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• 2016

본 연구는 프로그래밍 교육을 효과적으로 실시하기 위한 실제적 능력을 향상시키기 위하여 프로그래밍 교육 프로그램을 설계하고 적용하여 예비교사의 프로그래밍 교수내용지식의 변화를 확인한 연구이다. 제작된 교육 프로그램에서는 블록 기반 모바일 프로그래밍 언어인 앱 인벤터를 사용하였고, 문제 기반 학습 방법과 프로젝트 기반 학습 방법을 활용하였다. 개발된 교육프로그램을 예비정보교사에게 교육하고 프로그래밍 교수내용지식을 확인하기 위한 평가문항으로 자기평가를 실시하였다. 그 결과 문제 기반 학습 방법으로 프로그래밍을 학습한 후 프로그래밍 교수내용지식 점수와 교수법영역 지식의 점수가 유의하게 향상되었고, 프로젝트 기반 학습 방법을 적용한 후 내용지식영역, 교수법영역, 교육과정영역의 점수가 유의하게 향상되었다.

• 가정∙방문간호학회지
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• 제22권1호
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• pp.88-97
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• 2015

Purpose: This study was conducted to identify the effects of a suction care self video-based debriefing-assisted learning in the fundamentals of nursing practice for nursing students on clinical performance, self-efficacy and problem-solving process. Methods: A nonequivalent control group non-synchronized design study was used and included 97 junior nursing students at P University as participants, 48 of whom were assigned to the experimental group, and 49 of whom were assigned to the control group. The outcome measurements were clinical performance for suction care, self-efficacy, and the problem-solving process. Results: The scores of clinical performance were 23.75 in the experimental group who used the materials and 21.55 in the control group, and the difference was statistically significant (p<.000). Self-efficacy was 4.30 in the experimental group and 4.18 in the control group, which was a statistically significant difference (p=.000), and the pre-to-post differences of self-efficacy was statistically significant as well (p<.001). However, there were no significant differences in the pre-to-post differences of the problem-solving process (p<.802). Conclusions: Self video-based debriefing-assisted learning may be more effective in enhancing clinical performance and self-efficacy than that of conventional practice. Whether self-efficacy will contribute to enhanced learning motivation for nursing students needs further examination.

• 기본간호학회지
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• 제17권2호
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• pp.249-258
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• 2010

Purpose: To develop an e-learning blood-borne infection control program and to evaluate the effects of the program on risk perception, knowledge, preventive health behaviors related to blood-borne infections, and satisfaction with the program by nursing student. Methods: The program was developed through the processes of analysis, design, development, implementation, and evaluation. The pre-experimental research design involved a one group pretest-posttest design. The setting was two universities located in Daejeon, Korea. Results: Using the program that was designed and developed, results for the total score of risk perception, knowledge, and preventive health behaviors in the post-test application were significantly higher than in the pre-test application (p<.05). Relevance and usefulness of the information received the highest ratings, while the system's design were demonstrated to have the lowest ratings. Those areas requiring correction were modified accordingly. Conclusions: Application of an e-learning blood-borne infection control program is effective, and can be expanded to other student nurses who also have a high risk of blood-borne infections.

• Journal of Korean Biological Nursing Science
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• 제15권2호
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• pp.90-98
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• 2013

Purpose: The purpose of this study was to develop a clinical practice nursing students' microbiology program based on the mastery learning model, and to evaluate the effects of the program on nursing students' knowledge, self-efficacy, performance, and satisfaction related to the nursing students' microbiology program. Methods: The program was developed by using the processes of the mastery learning model. The pre-experimental research design involved a one group pretest-posttest design. The setting was a university located in Incheon, Korea. A total of 130 nursing students participated in the program including a theoretical lecture, clinical practice, and formative and summative evaluation. Results: Using the program that was designed and developed, results for the total score of self-efficacy, knowledge, and performance in the post-test application were significantly higher than in the pre-test application (p<.05). The satisfaction of hand hygiene and disinfection/contaminated hand microbial culture and disinfection test received the highest ratings. Conclusion: The application of a clinical practice nursing students' microbiology program was effective, and can be expanded to other nursing students. Future research with other study designs was warranted in order to prove the effect of a microbiology program based on the mastery learning model.

• Human Ecology Research
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• 제56권3호
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• pp.283-300
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• 2018

This study examined the effects of a practical problem based home economics instruction using multiple intelligences teaching and learning methods for the prevention school violence by high school students'. The contents of this study are as follow. 1) Develop the practical problem-based instruction using multiple intelligence and teaching and learning strategies for each protective factor both in teaching method aspects and learning content aspects during the 29-period of lesson plans. 2) Examine the effects of the instruction in the changes of pre- and post- impulsivity and aggression, self-esteem, empathy and attitudes to school violence after implementing home economics lesson plans. 3) Evaluate the instruction. The subjects of this study were 288 first grade students (124 male and 164 female students). The study utilizes a quasi-experimental pre-post design. The effect of the instruction by the paired t-test results showed that the aggression and impulsivity by the learners had been lowered; however, empathy and self-esteem increased; in addition, learners' attitudes toward school violence had changed positively. In conclusion, self-esteem in school as sub-variables of self-esteem increased; however, there was no statistically significant difference.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권6호
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• pp.1818-1832
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• 2022

Violence in the Internet era poses a new challenge to the current counter-riot work, and according to research and analysis, most of the violent incidents occurring are related to the dissemination of violence images. The use of the popular deep learning neural network to automatically analyze the massive amount of images on the Internet has become one of the important tools in the current counter-violence work. This paper focuses on the use of transfer learning techniques and the introduction of an attention mechanism to the residual network (ResNet) model for the classification and identification of violence images. Firstly, the feature elements of the violence images are identified and a targeted dataset is constructed; secondly, due to the small number of positive samples of violence images, pre-training and attention mechanisms are introduced to suggest improvements to the traditional residual network; finally, the improved model is trained and tested on the constructed dedicated dataset. The research results show that the improved network model can quickly and accurately identify violence images with an average accuracy rate of 92.20%, thus effectively reducing the cost of manual identification and providing decision support for combating rebel organization activities.

• 한국인터넷방송통신학회논문지
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• 제23권3호
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• pp.215-221
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• 2023

현실 세계와 유사한 모델링이 가능한 객체지향 언어인 C++ 프로그래밍 수업을 플립드러닝 학습모형을 도입한 교육과정으로 개발한다면 학생들의 능동적인 문제해결 능력을 배양할 수 있다. 본 교과목 개발사례에서는 플립드러닝 기법을 프로그래밍 수업에 적용하여 학생들의 능동적인 문제해결 능력 향상에 효과가 있었다는 데 그 의의가 있다. 먼저 4차시의 강의를 Pre-Class, In-Class, Post-Class로 나누어 주제에 맞는 수업 목표를 제시하고 팀을 구성하여 토의하는 방식으로 수업을 진행하였다. 강의 마지막에는 사후 설문 조사를 시행하여 학습자들이 효과적으로 학습하였는지 확인하였다.

• 아시아태평양코퍼스연구
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• 제4권2호
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• pp.41-55
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• 2023

In data-driven learning (DDL), learners explore a corpus to understand vocabulary and grammar. Although many studies have emphasized the role of DDL in second language (L2) acquisition, L2 light verbs have been largely under-explored. To bridge this gap, this study focused on the learning outcomes of L2 light verbs among 29 intermediate-level Japanese university students. The research zeroed in on six prevalent light verbs in English: "make," "do," "take," "have," "give," and "get." Over nine weeks, the participants engaged with verb-noun collocations using worksheets that juxtaposed Japanese translations of the target collocations with their English equivalents, with the verbs omitted. With the aid of Wordbanks Online, they filled in the blanks and constructed accurate sentences. Before this activity, a 20-minute tutorial was given to the participants on how to interpret the concordance lines. The effectiveness of the DDL method was evaluated using pre-tests, immediate post-tests, and delayed post-tests. The results showed that DDL significantly improved the participants' knowledge of the target collocations of light verbs and nouns; the post-test and delayed post-test scores were significantly higher than the pre-test scores. The results showed that, overall, DDL contributed to memorizing the collocations of light verbs and nouns; however, DDL had different effects on the memorization of collocations across different light verbs. The extent of work on the worksheet is not the only factor in its retention, and observing concordance lines may promote learners' memorization of light-verb collocations.

• 한국융합학회논문지
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• 제11권4호
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• pp.311-321
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• 2020

본 연구는 육상운동에 대한 중등예비체육교사의 주관성을 탐색하는데 목적이 있다. 연구대상은 D시의 사범대학 체육교육과 2학년 학부생과 교육대학원생으로 총 28명으로 하였다. 연구방법은 인간의 주관적 인식을 탐색할 수 있는 Q방법론을 활용하였다. Q연구 과정을 통해 얻은 자료는 QUANL 프로그램을 통해 Q요인분석을 실시하여 총 4개의 유형으로 분류되었다. 제1유형은, 육상운동은 성취감을 느끼게 해 주고 리듬감이 중요하며 도전의식의 가치를 강조하여 '교육적 가치 인식형'으로 명명하였다. 제2유형은, 육상운동은 체력향상을 위한 트레이닝과 재미있는 보조운동의 필요성을 강조하여 '보조 활동 중요성 인식형'으로 명명하였다. 제3유형은, 육상운동은 복잡한 동작 구성에 따른 기능 습득의 어려움과 높은 집중력의 요구 그리고 경험 부족을 강조하여 '기능 습득 곤란 인식형'으로 명명하였다. 제4유형은, 육상운동은 모든 활동과 운동의 기초이고 도전의식을 갖게 하며 모든 건강체력요소를 포함하는 운동이라는 점을 강조하여 '기초 운동 가치 인식형'으로 명명하였다.

• 한국측량학회지
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• 제36권5호
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• pp.423-432
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• 2018

Surface water mapping has been widely used in various remote sensing applications. Water indices have been commonly used to distinguish water bodies from land; however, determining the optimal threshold and discriminating water bodies from similar objects such as shadows and snow is difficult. Deep learning algorithms have greatly advanced image segmentation and classification. In particular, FCN (Fully Convolutional Network) is state-of-the-art in per-pixel image segmentation and are used in most benchmarks such as PASCAL VOC2012 and Microsoft COCO (Common Objects in Context). However, these data sets are designed for daily scenarios and a few studies have conducted on applications of FCN using large scale remotely sensed data set. This paper aims to fine-tune the pre-trained FCN network using the CRMS (Coastwide Reference Monitoring System) data set for surface water mapping. The CRMS provides color infrared aerial photos and ground truth maps for the monitoring and restoration of wetlands in Louisiana, USA. To effectively learn the characteristics of surface water, we used pre-trained the DeepWaterMap network, which classifies water, land, snow, ice, clouds, and shadows using Landsat satellite images. Furthermore, the DeepWaterMap network was fine-tuned for the CRMS data set using two classes: water and land. The fine-tuned network finally classifies surface water without any additional learning process. The experimental results show that the proposed method enables high-quality surface mapping from CRMS data set and show the suitability of pre-trained FCN networks using remote sensing data for surface water mapping.