• 한국멀티미디어학회논문지
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• 제21권12호
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• pp.1459-1466
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• 2018

Robots which detect human and recognize action are important factors for human interaction, and many researches have been conducted. Recently, deep learning technology has developed and learning based robot's technology is a major research area. These studies require a database to learn and evaluate for intelligent human perception. In this paper, we propose a multi-modal sensor-based image database condition considering the security task by analyzing the image database to detect the person in the outdoor environment and to recognize the behavior during the running of the robot.

• 대한통합의학회지
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• 제10권2호
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• pp.145-153
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• 2022

Purpose : This study aimed to investigate the effects of blended learning on learning satisfaction in nursing students. Methods : This study was conducted with 160 current nursing students in the department of nursing at K university located in city B. All students included in the study understood the purpose of the study and provided informed consent to participate. Data were collected between May 3 and July 9, 2021 and analyzed using SPSS/WIN 22.0. The frequency, percentage, mean, and standard deviation were created, and t-test, ANOVA, and Scheffé test for post hoc analysis were performed. Correlations were analyzed using Pearson's correlation coefficient. The factors influencing learning satisfaction were analyzed using multiple regression. Results : Significant differences were observed for academic stress according to the online classes environmental satisfaction (F=4.10, p=.001), online classes experience (t=4.11, p=.001) and self-directed learning ability according to the grade (F=4.10, p=.001), online classes environmental satisfaction (t=4.11, p=.001). The academic stress of nursing students who experienced blended learning was significantly negatively correlated with self-directed learning ability (r=-.480, p<.001), and learning satisfaction (r=-.236, p<.001). self-directed learning ability showed a significant positive correlation with learning satisfaction (r=.524, p<.001). The regression model for the factors affecting the learning satisfaction of the subjects was statistically significant (F= 3.027, p<.001). The major influential factors of learning satisfaction were grade (𝛽=.154, p=.013), satisfaction with school life (𝛽=.168, p=.032), and satisfaction with non-contact learning environment (𝛽=-.141, p=.028). The explanatory power was 28 %. Conclusion : These results indicate that it is necessary to reduce academic stress and increase self-directed learning ability to enhance learning satisfaction in nursing students through blended learning. In addition, the development and operation of a tailored intervention program is required to help improve learning satisfaction.

• 한국간호교육학회지
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• 제17권1호
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• pp.5-13
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• 2011

Purpose: The purpose of this study was to develop a lesson plan related to a simulation for nursing students by understanding what relationship learning satisfaction, self-efficacy and learning attitude have after applying simulation-based education on emergency nursing care. Methods: Simulation practice, seminar, class and group self-study about a patient having a myocardial infarction were applied to nursing students for 5 weeks. After applying the simulation-based education on emergency nursing care, students rated their learning attitude, learning satisfaction and a sense of self-efficacy with a self-administered questionnaire and academic achievement was divided into written and performance evaluation. SPSS/WIN 17.0 was used for descriptive analysis, independent t-test, one-way ANOVA and pearson correlation were also used. Results: In this study, the performance evaluation score was related to learning attitude (r=.210, p=.018).Learning satisfaction (r=.220, p=.013)and written evaluation score was related to learning attitude (r=.211, p=.017) and learning satisfaction (r=.190, p=.032). Conclusion: In this study, simulation-based learning was a useful method for practical ability and this is good to acquire both of knowledge and technique. Not only evaluation of theoretical knowledge but performance ability related to practice has to be done by developing lessons with various methods and content. In addition, a standard evaluation method needs to be developed.

• 한국응용과학기술학회지
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• 제39권2호
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• pp.182-192
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• 2022

본 연구는 가상 시뮬레이션기반 노인간호 실습교육 실시 후 간호대학생의 몰입경험과 학습역량이 학습만족도에 미치는 영향을 파악하기 위한 조사연구이다. 연구 대상자는 간호대학 학생 72명을 대상으로 하였고, 자료수집은 2021년 4월 2일부터 5월 7일까지 온라인 설문을 통해 수행하였다. 자료분석은 SPSS/WIN 24.0을 이용하여 기술통계, 상관관계 및 다중회귀분석을 사용하였다. 연구결과, 가상 시뮬레이션 교육 후 간호대학생의 학습만족도는 몰입경험(r=.656, p<.001), 학습역량(r=.672, p<.001)과 유의한 정적 상관관계를 보였다. 학습만족도에 가장 영향력이 있는 요인은 학습역량(𝛽=.459, p<.001), 몰입경험(𝛽=.413, p<.001)으로 나타났으며 모형의 설명력은 60.9%이었다. 그러므로 가상 시뮬레이션 교육 후 학습만족도를 향상시키기 위해서 실습에 대한 몰입을 촉진하고 개개인의 학습역량을 향상시킬 수 있는 방안들을 개발할 것을 제언한다.

• 디지털정책학회지
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• 제3권1호
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• pp.1-10
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• 2024

본 연구는 비대면학습 환경에서 간호대학생의 미디어멀티태스킹, 학습몰입과 자기조절학습전략 간의 관계를 파악하고 자기조절학습전략 예측 요인을 규명하기 위한 서술적 조사연구이다. 본 연구의 대상자는 G광역시와 K시 두 개 대학의 간호대학생 212명을 편의추출하였다. 자료분석은 SPSS WIN 23.0을 이용하여 변수 간의 상관관계는 Pearson's Correlation Coefficient, 자기조절학습전략 예측 요인은 단계적 회귀분석으로 분석하였다. 비대면학습 환경에서 간호대학생의 미디어멀티태스킹과 자기조절학습전략(r=.45, p<.001), 학습몰입과 자기조절학습전략(r=.59, p<.001), 미디어멀티태스킹과 학습몰입(r=.32, p<.001)은 양의 상관관계를 보였다. 교우관계 만족도, 미디어멀티태스킹과 학습몰입은 자기조절학습전략을 45% 설명하였다. 비대면학습 환경에서 간호대학생의 자기조절학습전략을 상승시키기 위해서는 교우관계 만족도, 미디어멀티태스킹과 학습몰입을 증진 시킬 수 있는 다양한 중재 프로그램 개발이 필요하다.

• International journal of advanced smart convergence
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• 제8권3호
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• pp.131-137
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• 2019

This study proposes a method of learning and recognizing the characteristics that are the classification criteria of Hangul using Mask R-CNN, one of the deep learning techniques, to recognize and classify atypical Hangul characters. The atypical characters on the Hangul signboard have a lot of deformed and colorful shapes beyond the general characters. Therefore, in order to recognize the Hangul signboard character, it is necessary to learn a separate atypical Hangul character rather than the existing formulaic one. We selected the Hangul character '닭' as sample data and constructed 5,383 Hangul image data sets and used them for learning and verifying the deep learning model. The accuracy of the results of analyzing the performance of the learning model using the test set constructed to verify the reliability of the learning model was about 92.65% (the area detection rate). Therefore we confirmed that the proposed method is very useful for Hangul signboard character recognition, and we plan to extend it to various Hangul data.

• 한국간호교육학회지
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• 제24권2호
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• pp.127-136
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• 2018

Purpose: The purpose of this study was to examine the effects of self-regulated learning ability of freshmen in nursing college on the learning persistence intention, and to determine if their learning motivation meditates the relationship between them. Methods: The study design was based on descriptive research. Data were collected from 146 nursing freshmen studying at a university in D city from June 5, 2017 to June 7, 2017. Results: There was a positive correlation among learning persistence intention, self-regulated learning ability (r=.57, p<.001) and learning motivation (r=.60, p<.001). Also, it was found that learning motivation was positively correlated with self-regulated learning ability (r=.79, p<.001). According to the Sobel test results, the learning motivation had a complete mediating effect (${\beta}=.39$, p<.001) between self-regulated learning ability and learning persistence intention (Z=3.63, p<.001). Conclusion: Therefore, this study suggests developing a learning motivation program to improve self-regulated learning ability and learning persistence intention of nursing students during their freshman year.

• 한국안전학회지
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• 제34권6호
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• pp.50-57
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• 2019

In this study, various types of deep learning models that have been proposed recently are classified according to data input / output types and analyzed to find the deep learning model suitable for constructing a crack detection model. First the deep learning models are classified into image classification model, object segmentation model, object detection model, and instance segmentation model. ResNet-101, DeepLab V2, Faster R-CNN, and Mask R-CNN were selected as representative deep learning model of each type. For the comparison, ResNet-101 was implemented for all the types of deep learning model as a backbone network which serves as a main feature extractor. The four types of deep learning models were trained with 500 crack images taken from real concrete structures and collected from the Internet. The four types of deep learning models showed high accuracy above 94% during the training. Comparative evaluation was conducted using 40 images taken from real concrete structures. The performance of each type of deep learning model was measured using precision and recall. In the experimental result, Mask R-CNN, an instance segmentation deep learning model showed the highest precision and recall on crack detection. Qualitative analysis also shows that Mask R-CNN could detect crack shapes most similarly to the real crack shapes.

• 대한통합의학회지
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• 제9권3호
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• pp.59-68
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• 2021

Purpose : The purpose of this study was to investigate the lecture method and physical activity level of Korean university students during the COVID-19 pandemic to determine their effect on the students' mental health, self-efficacy, and learning motivation. Methods : A total of 203 participants (53 male, 150 female) completed the study. An online survey was distributed through a social media platform between March 24 and April 7, 2021. Participants completed the international physical activity questionnaire-short form (IPAQ-SF), COVID-19 stress scale for Korean people (CSSK), the Korean version of the general health questionnaire (KGHQ-30), and self-efficacy and learning motivation scales. Results : Among the general characteristics of the study subjects, there were statistically significant differences in the IPAQ-SF, CSSK, KGHQ, self-efficacy, and learning motivation measures by sex. There were no significant differences in the degree of IPAQ-SF, CSSK, KGHQ, self-efficacy, and learning motivation among any of the lecture method and university area groups. The level of physical activity corresponded with significant differences in KGHQ, self-efficacy, and learning motivation, excluding CSSK. There was a statistically significant positive correlation between IPAQ and self-efficacy (r=.273, p<.001), IPAQ-SF and learning motivation (r=.201, p<.01), CSSK and KGHQ (r=.271, p<.001), self-efficacy and learning motivation measures (r=.506, p<.001). There was a statistically significant negative correlation between IPAQ-SF and KGHQ (r=-.203, p<.01) and between KGHQ and self-efficacy (r=-.558, p<.001). Conclusion : CSSK and KGHQ measures were significantly higher in female students than in male students. Therefore, it is important to consider sex as a protective factor in the mental health management of university students in the context of an infectious disease pandemic. The results of this study suggest that university students should continue to engage in physical activities, even during a pandemic, and that it is necessary to prepare health management to improve mental health in such situations.

• 의료커뮤니케이션
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• 제13권2호
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• pp.109-115
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• 2018

Background: The study is descriptive research study to investigate the self-directed learning ability to explore the facts that influence of anatomy using cadaver dissection beginning nursing students. Methods: A descriptive research design was used. The data was collected from 31st May to 7 June, 2016. The participants were total 121 first-year nursing students in C University. This anatomy practicum course was composed of three session, and each session was composed of 3hours, 60minutes of body structure and anatomy lecture, 90 minutes of cadaver dissection, and 30minutes of summary. Results: The results of the study showed that satisfaction with cadaver dissection was statistically significant in the usefulness in connection with the major of nursing (r=.543, P<.001), educational understanding (r=.465, p<.001), and nursing learning motivation (r=.517, p<.001). As the nursing learning motivation increased, self-directed learning ability increased. Also nursing learning motivation influenced self-directed learning (${\beta}=0.266$, p<.01). Conclusion: It is necessary to develop a program that can link theoretical education with practicum education of anatomy using cadaver dissection for efficient learning of the anatomy major courses of nursing students.