• Title/Summary/Keyword: Personal based Learning

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Effects of a newborn care education program using ubiquitous learning on exclusive breastfeeding and maternal role confidence of first-time mothers in Vietnam: a quasi-experimental study

  • Nguyet, Tran Thi;Huy, Nguyen Vu Quoc;Kim, Yunmi
    • Women's Health Nursing
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    • v.27 no.4
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    • pp.278-285
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    • 2021
  • Purpose: This study aimed to examine the effect of a newborn care education program using ubiquitous learning (UL-NCEP) on exclusive breastfeeding and maternal role confidence of first-time mothers in Vietnam. Methods: This quasi-experimental study with a nonequivalent control group design was conducted at a university hospital in Hue city, Vietnam, between June and July 2018. Eligible first-time mothers were conveniently allocated to the experimental (n=27) and the control group (n=25). Mothers in the control group received only routine care, whereas mothers in the experimental group received UL-NCEP through tablet personal computers in addition to routine care in the hospital. Then, the educational content was provided to mothers by their smartphone for reviewing at home. UL-NCEP was developed based on the World Health Organization's "Essential Newborn Care Course" guidelines. The exclusive breastfeeding rate and maternal role confidence level after birth and at 4 weeks postpartum were assessed in both groups to assess the effect of UL-NCEP. Results: At 4 weeks postpartum, the experimental group showed a significantly higher level than the control, for exclusive breastfeeding rate (p<.05) as well as mean maternal role confidence (p<.05). Conclusion: UL-NCEP was a feasible and effective intervention in increasing first-time Vietnamese mothers' exclusive breastfeeding rate and maternal role confidence level. This program may be integrated into routine care for postpartum mothers to promote mother and infant health among first-time mothers in Vietnam.

Comparative Analysis of Information Security Textbooks for Chinese Elementary and Secondary Students (중국의 초·중등학생 대상 정보보호 교재 비교 고찰)

  • Eunsun Choi;Namje Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.183-192
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    • 2023
  • Digital transformation is taking place rapidly around the world. As the development of digital technology becomes very fast, more information is expected to be digitized. Therefore, the possibility of cyber threats is increasing in transmitting and storing sensitive information such as personal and financial information online. In this paper, we compared and analyzed information security textbooks for elementary and secondary school students in China, where the recent development of artificial intelligence and digital transformation are rapidly occurring. After we collected related textbooks, textbooks suitable for analysis were selected. Then, we analyzed the external and internal systems of the textbooks separately. As a result of the external system analysis, all the textbook covers were properly produced, but the quality difference was significant among textbooks. In the case of textbooks for elementary school students, the excellence of layout and content placement was noticed. On the other hand, due to the internal system analysis, various contents were not included evenly when looking at the learning contents based on the "information society responsibility" learning goals presented in China. Through this paper, we hope to provide implications for information security-related education and textbook development research.

Investigating the Performance of Bayesian-based Feature Selection and Classification Approach to Social Media Sentiment Analysis (소셜미디어 감성분석을 위한 베이지안 속성 선택과 분류에 대한 연구)

  • Chang Min Kang;Kyun Sun Eo;Kun Chang Lee
    • Information Systems Review
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    • v.24 no.1
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    • pp.1-19
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    • 2022
  • Social media-based communication has become crucial part of our personal and official lives. Therefore, it is no surprise that social media sentiment analysis has emerged an important way of detecting potential customers' sentiment trends for all kinds of companies. However, social media sentiment analysis suffers from huge number of sentiment features obtained in the process of conducting the sentiment analysis. In this sense, this study proposes a novel method by using Bayesian Network. In this model MBFS (Markov Blanket-based Feature Selection) is used to reduce the number of sentiment features. To show the validity of our proposed model, we utilized online review data from Yelp, a famous social media about restaurant, bars, beauty salons evaluation and recommendation. We used a number of benchmarking feature selection methods like correlation-based feature selection, information gain, and gain ratio. A number of machine learning classifiers were also used for our validation tasks, like TAN, NBN, Sons & Spouses BN (Bayesian Network), Augmented Markov Blanket. Furthermore, we conducted Bayesian Network-based what-if analysis to see how the knowledge map between target node and related explanatory nodes could yield meaningful glimpse into what is going on in sentiments underlying the target dataset.

Safety Verification Techniques of Privacy Policy Using GPT (GPT를 활용한 개인정보 처리방침 안전성 검증 기법)

  • Hye-Yeon Shim;MinSeo Kweun;DaYoung Yoon;JiYoung Seo;Il-Gu Lee
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.34 no.2
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    • pp.207-216
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    • 2024
  • As big data was built due to the 4th Industrial Revolution, personalized services increased rapidly. As a result, the amount of personal information collected from online services has increased, and concerns about users' personal information leakage and privacy infringement have increased. Online service providers provide privacy policies to address concerns about privacy infringement of users, but privacy policies are often misused due to the long and complex problem that it is difficult for users to directly identify risk items. Therefore, there is a need for a method that can automatically check whether the privacy policy is safe. However, the safety verification technique of the conventional blacklist and machine learning-based privacy policy has a problem that is difficult to expand or has low accessibility. In this paper, to solve the problem, we propose a safety verification technique for the privacy policy using the GPT-3.5 API, which is a generative artificial intelligence. Classification work can be performed evenin a new environment, and it shows the possibility that the general public without expertise can easily inspect the privacy policy. In the experiment, how accurately the blacklist-based privacy policy and the GPT-based privacy policy classify safe and unsafe sentences and the time spent on classification was measured. According to the experimental results, the proposed technique showed 10.34% higher accuracy on average than the conventional blacklist-based sentence safety verification technique.

A Comparison of Time Use between Korean and the USA Families (한.미 양국간 가족의 시간사용 비교 연구)

  • 이연숙;이기영;김외숙;조희금;주인숙
    • Journal of Families and Better Life
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    • v.20 no.3
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    • pp.139-156
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    • 2002
  • The purpose of this study is to compare the patterns of time use between Korean and USA families. The data for 353 Seoul-based Korean families with two children living in Seoul and 130 USA families with two children living in the State of Utah were collected using a structured questionnaire and time diary. The major findings were as the following: 1. The Korean couples spent more time at personal care, paid work, and travel than the USA couples did, while the USA couples spent more time at housework and social-cultural activities than the Korean couples did. 2. The Korean wives spent more time doing food and clothing related housework than the USA wives did. Compared with the Korean wives, however, the time spent at house cleaning and management, family care and shopping and home management were longer than USA wives. The time U.S. husbands engaged in housework was much greater than by the Korean husbands. 3. Regardless of sex and school level, the Korean children spent less time at sleeping/rest, housework and socio-cultural activities and more time at eating and learning than those of U.S. These time use patterns of the families in both countries may reflect the differences of the cultural contexts, social norms, life styles, and the degrees of urbanization. To fully explain the findings, further study on the differences in social and cultural factors between the two countries is needed.

An Intelligent Tutoring System for Nondestructive Testing Training (비파괴검사를 위한 지능형 교육 시스템 개발)

  • Kim, J.K.;Koh, S.N.;Kim, M.K.;Shim, Y.J.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.18 no.1
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    • pp.27-32
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    • 1998
  • This paper is written to introduce a multimedia tutoring system for nondestructive testing using personal computer. Nondestructive testing, one of the chief methods for inspecting welds and many other components, is very difficult for the NDT inspectors to understand its technical basis without a wide experience. And it is necessary for considerable repeated education and training for keeping their knowledge. The tutoring system that can simulate NDT works is suggested to solve the above problem based on reasonable condition. The tutoring system shows basic theories of nondestructive testing in a book-style with video images and hyper-links, and it offers practices, in which users can simulate the testing equipment. The book-style and simulation practices provide effective and individual environments for learning nondestructive testing.

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Development of an Evaluation Instrument for Subjects Related to Death (죽음 관련 교과목의 교과내용 평가 도구개발)

  • Jo, Kae-Hwa;Lee, Hyun-Ji;Lee, Yun-Joo
    • Journal of Korean Academy of Nursing
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    • v.36 no.1
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    • pp.74-83
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    • 2006
  • Purpose: The purpose of this study was to develop an evaluation instrument integrated and interdisciplinary death education for the human service areas such as nursing, social welfare, and education and to test the reliability and validity of it. Method: The subjects used to verify the instrument's reliability and validity were 407 students who were enrolled in the departments of nursing, social welfare, and education in universities located in Seoul, Pusan, Daegu, and Daejeon. The data was collected from April to May, 2005, and was analyzed by SPSS/WIN 12. Result: A factor analysis was conducted. Items with over a .40 factor loading and over a 1.0 eigen value were selected. Nine identified factors were learning about death, role of professionals, personal attitudes, hospice care, ethics and legal issues, death and dying, spiritual aspect of' death, transcultural aspect of death, and multidisciplinary theory of death. The instrument consisted of 44 items and the reliability was a cronbach's of .953 Conclusion: Based on the study results, the content scale developed in this study was identified as a tool with a high degree of reliability and validity.

A Study of Architectural Planning in view of a current situation of Individualized Interactive Learning Approach (IILA) in Middle and High Schools (중등학교의 교과교실형 교사 도입에 관한 건축계획적 고찰 - 수준별 이동식 수업 실시 현황을 중심으로 -)

  • Rieu, Ho-Seoup
    • Journal of the Korean Institute of Educational Facilities
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    • v.5 no.2
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    • pp.40-48
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    • 1998
  • A Considerable number of middle and high schools has an educational program that allows the students to move from one class to another according to their academic achievements. It is, however, performed in existing classrooms with uniform pattern, corresponding to the launch of the 7th curriculum (scheduled to practice in 2000). This research is to investigate the current situation of IILA and to collect the teachers opinions and their demands regarding spatial change to accommodate IILA effectively. This research is also to acquire a fundamental data to set up a prototype for designing a school building for IILA in future. The research process includes surveying the current circumstances of IILA in 136 middle and high schools in Seoul and Pusan, and performing interviews for 9 schools. The research results revealed that there was lack of classrooms to comply IILA in most cases and inconvenience resulted in moving from class to class. It also showed that majority of students experienced unhandy due to limited lockers for the personal belongings. It is also found that the IILA was not a practice for offering various teaching methods but simply an aspect of grouping students based upon their academic achievements.

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Concept Analysis of Professional Nurse Autonomy (간호전문직 자율성(Professional Nurse Autonomy)의 개념분석)

  • Chi, Sung-Ai;Yoo, Hyung-Sook
    • Journal of Korean Academy of Nursing
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    • v.31 no.5
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    • pp.781-792
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    • 2001
  • Professional nurse Autonomy is an essential attribute of a discipline striving for full professional status. Purpose: This study was to clarify the concept of professional nurse autonomy to provide basic data needed for development of professional autonomy enhancing strategies. Method: This study use the process of Walker & Avante's concept analysis based on Wade's research (1999), and field data of 21 nurses. Results: Professional nurse autonomy is defined as competency and creative performance of the professional nurse in practice, to decide independently or interdependently nursing activities and to be had accountable for results of decisions, that reflect advocacy and caring. It was identified that critical attributes include responsible discretionary decision making, collegial interdependence, initiative, creativity, and caring, advocacy, cooperative relationship with clients, receptive capacity to others, activeness, self confidence, and devotion and responsibility to their profession. Antecedents include personal characteristics, educational background, experience and structural characteristics that enhance professional nurse autonomy. Consequences of professional nurse autonomy are feelings of self-efficacy, empowerment, job satisfaction, reduction of intention to leave their job. Conclusion: According to these results, it is recommended that the curriculum provides an environment for learning professional nurse autonomy, and that is used as basic data to develope strategies to enhance professional autonomy of nurse in practice and it's effects

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Detection of High Impedance Fault Using Adaptive Neuro-Fuzzy Inference System (적응 뉴로 퍼지 추론 시스템을 이용한 고임피던스 고장검출)

  • 유창완
    • Journal of the Korean Institute of Intelligent Systems
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    • v.9 no.4
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    • pp.426-435
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    • 1999
  • A high impedance fault(HIF) is one of the serious problems facing the electric utility industry today. Because of the high impedance of a downed conductor under some conditions these faults are not easily detected by over-current based protection devices and can cause fires and personal hazard. In this paper a new method for detection of HIF which uses adaptive neuro-fuzzy inference system (ANFIS) is proposed. Since arcing fault current shows different changes during high and low voltage portion of conductor voltage waveform we firstly divided one cycle of fault current into equal spanned four data windows according to the mangnitude of conductor voltage. Fast fourier transform(FFT) is applied to each data window and the frequency spectrum of current waveform are chosen asinputs of ANFIS after input selection method is preprocessed. Using staged fault and normal data ANFIS is trained to discriminate between normal and HIF status by hybrid learning algorithm. This algorithm adapted gradient descent and least square method and shows rapid convergence speed and improved convergence error. The proposed method represent good performance when applied to staged fault data and HIFLL(high impedance like load)such as arc-welder.

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