The purpose of this study was to investigate the effects of flipped learning through EBSmath on Students' 'rate and ratio' learning. By increasing demands for change in education, an innovative teaching and learning paradigm, 'Flipped Learning', has been presented and drawing attentions. In South Korea, Flipped Learning is also highly recognized for its effectiveness by many scholars and various media. However, this innovative learning model has limitations in application and expansion due to the excessive burden of class preparation of teachers. As remote learning becomes more active, it would be possible to overcome the limitations of Filliped learning by using the platform provided by the Korea Educational Broadcasting System (EBS). EBSmath is an online learning module that is designed to assist students' self-directed learning. Thus, EBSmath would reduce teachers' burden to prepare mathematics classes for the application of Flipped Learning; and led to students' better understanding of mathematical concepts and problem solving. In this study, the effect of Flipped Learning through EBSmath on learning 'rate and ratio' was investigated. In order to scrutinize the effects of flipped learning, students' achievement and mathematical disposition were examined and analyzed. Students' achievement, specifically, was divided into two subcategories: concept understanding and problem solving. As a result, Flipped learning through EBSmath had a positive effect on students' 'rate and ratio' problem solving. In addition, a statistically significant change was identified in the 'willingness', which is subdomain of students' mathematical disposition.
The smartphone is the communication device that is the most personal to the user, and it keeps a lot of information related to the user and makes information communication with other devices. With these characteristics, forensics on smartphones are one of the most basic methods of investigation in criminal investigations, and have actually contributed to the settlement of the case by providing many clues. However, recently, it is designed to encrypt data stored as a social issue related to the protection of user's personal information, or to delete deleted data or to delete log data together. So, any solutions? In this paper, I try to find the answer from cloud data stored by smartphone user account. Cloud forensics should approach complementary relationships rather than smartphone forensics. There are a lot of data stored in the cloud that can be meaningfully used in the investigation. Online activity information of users, such as Internet usage, YouTube view, and contents purchase information, cloud service such as e-mail, cloud drive, and location information are the most representative data. These data can be unvaluable, but here are some important clues in various types of criminal investigations. In this paper, I propose a method to extract data from the google cloud so that the data can be used for investigation, and to utilize the extracted data for investigation. And it explains the role of the extracted artifacts in the actual investigation business through virtual cases and proves its value.
Journal of the Korea Academia-Industrial cooperation Society
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v.19
no.11
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pp.721-729
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2018
As is the case with South Korea, if the authority for decision making on curricula is concentrated on the state level, the perspective of the understanding on the curricula could be said to be essential. And, such an understanding on the curricula can be important not only to the theorist of curricula but also the teachers in educational institutions. Also, there have been a number of studies to examine the awareness of the teachers on education reform. However, the studies on the resistance factor was mainly focused on the relationships with traits of individuals, covering factors such as their habits, maturity, character, and age, etc. But, it was difficult to find consistency in the results of these studies. Therefore, in this study, the researcher selected the teachers as the key factor of the execution of the curricula and examined the awareness of the teachers on education resistance and the negative views thereupon in the relationship between the knowledge, attitude, skills, and education execution, with a view to find another meaning. The subjects of this study were selected among the teachers in middle or high schools located in Gangnam, Songpa, and Joonggu districts of Seoul. The survey was conducted online with 15 institutions over three weeks from April 13 to 30, 2018. The data gathered were analyzed using SPSS 20.0 and AMOS 20.0, in order to validate the hypotheses through frequency analysis, confidence analysis, factor analysis, structural equation model, and sobel-test. The result of the analyses showed that the factors that affected execution of curricula were the skill system, knowledge system, and attitude of the teachers, in that order, with a positively significant influence. And, significant differences were identified between the factors depending on high or low resistance among teachers.
Journal of the Korea Academia-Industrial cooperation Society
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v.20
no.8
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pp.494-502
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2019
Various international reports have shown strong proof that socioeconomic and sociodemographic variables are correlated with allergic diseases, yet little is known about how these variables affect Korean adolescents. This study was conducted to identify the socioeconomic and sociodemographic risk factors for allergic diseases of Korean adolescents, and to provide information for preventing and managing such conditions. Data from the 2018 Korean Youth Risk Behavior Survey (KYRBS) of 60,040 adolescents was used for this study. An anonymously administered online survey was conducted to collect information on the dependent variables. The independent variables were asthma, allergic rhinitis and atopic dermatitis. Multivariate logistic regression analysis was performed to analyze the correlations between the dependent variables and the independent variables. Low economic status, living with mother, high education level of parents, high school record, obesity, drinking and smoking were the risk factors for asthma. Low economic status, the place of residence, living with mother, high education level of the parents, gender, high school record, obesity, drinking and smoking were the risk factors for allergic rhinitis. Low economic status, living with mother, high education level of parents, genderhigh school record, obesity and drinking were the risk factors for atopic dermatitis. We found that low socioeconomic status and unhealthy behavior were the risk factor for allergic diseases of Korean adolescents. Balanced economic growth in the community and controlling unhealthy behavior can help reduce the prevalence of allergic diseases.
The Journal of Korean society of community based occupational therapy
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v.8
no.3
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pp.37-47
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2018
Objective : The purpose of this study was to investigate the awareness, interest, and needs of the occupational therapy students for the dementia care center. Methods : We conducted an online questionnaire survey of 492 occupational therapy students nationwide from July 1 to 31, 2018. General characteristics and perceptions, interests and needs were analyzed by descriptive statistics. One way ANOVA and chi-square test were conducted to compare the differences between the items according to grade and age. Results : Lower awareness was found in National Responsibility for Dementia($2.61{\pm}1.0$), Dementia Care Center($2.84{\pm}0.9$) and role of an occupational therapist in the Dementia Care Center($2.94{\pm}0.9$) of the occupational therapy students. Interest to the employment was investigated between middle and high($3.42{\pm}0.9$). Education was not sufficient($2.98{\pm}0.8$), and the adequacy of fieldwork was moderate($3.07{\pm}0.8$). Conclusion : The results of this study can be served as basic data for enhancing competence as a specialist in the dementia care center. Also, it is expected to be a help to raise awareness of the occupational therapy students.
The Journal of the Institute of Internet, Broadcasting and Communication
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v.19
no.3
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pp.9-15
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2019
Large global online shopping malls, such as Amazon, offer services in English or in the language of a country when their products are sold. Since many customers purchase products based on the product reviews, the shopping malls actively utilize the sentimental analysis technique in judging preference of each product using the large amount of review data that the customer has written. And the result of such analysis can be used for the marketing to look the potential shoppers. However, it is difficult to apply this English-based semantic analysis system to different languages used around the world. In this study, more than 500,000 data from Amazon fine food reviews was used for training a deep learning based system. First, sentiment analysis evaluation experiments were carried out with three models of English test data. Secondly, the same data was translated into seven languages (Korean, Japanese, Chinese, Vietnamese, French, German and English) and then the similar experiments were done. The result suggests that although the accuracy of the sentimental analysis was 2.77% lower than the average of the seven countries (91.59%) compared to the English (94.35%), it is believed that the results of the experiment can be used for practical applications.
The purpose of this study was to investigate the relationship between demographic characteristics, self - esteem, and attachment instability (attachment anxiety, attachment avoidance) in the college students' SNS addiction tendency. To investigate the influencing factors on SNS addiction tendency of college students, we surveyed 330 college students at universities in the metropolitan area through offline and online questionnaires, and analyzed 271 valid ones. Frequency analysis, descriptive statistics, variance analysis, Pearson correlation analysis and multiple regression analysis were performed. The results of the analysis are as follows. First, 87.4% of college students used SNS, and the most used SNS was 'Facebook (82.3%)'. The most frequent use of SNS per day was 'over 1 hour ~ less than 2 hours (24.7%)'. Second, women had a significantly higher SNS addiction tendency than men. Third, self-esteem and SNS addiction tendency showed significant negative correlation. Fourth, attachment anxiety and attachment avoidance were positively correlated with SNS addiction tendency. Fifth, the self-esteem of college students affects negatively on the SNS addiction tendency and only the attachment anxiety among attachment instability affects the addiction tendency. Finally, we discussed the risk of SNS addiction according to the characteristics of university students.
Journal of the Korea Academia-Industrial cooperation Society
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v.20
no.4
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pp.275-283
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2019
The purpose this study is to analyze how human resources in culture and arts education use the contents of Arts Academy training program in the field, and to suggest implications and improvements of the training for strengthening the competence of professional manpower. For this purpose, an online survey was conducted for the participants of the Arte Academy training program to investigate the actual application rate. As a result of the analysis, overall application of the training was high. However, the work-site application was divided into indirect and direct applications. Indirect application showed higher results than direct application. This shows that the training is effective in terms of strengthening the participants' personal competence, but they are somewhat lacking in applying the contents learned in the training directly in the field. Indirect application is a result of training and is a necessary part of strengthening competence. However, considering that culture and arts education is a consumer-oriented policy that enjoys culture and art, it needs to be strengthened more directly in the field, and the competence of the applicant should be applied to the field more smoothly. The Korea Arts & Culture Education Service needs to review and implement such a training that has a higher direct application than indirect application.
The purpose of this study was to analyze to 1) the differences according to demographic characteristics 2) select the type-specific communities online channels of the baby boomer customers group, who ever search for restaurant information through on-line for the previous three months. The study was based on a total of 280 samples obtained from on-line networking service users in a metropolitan area from April 15 to 30, 2016. The major findings are as follows. The data were analysed using frequency, factor analysis, cluster analysis and ${\chi}^2test$. According to the results of factor analysis, on-line utilizing attributes were separated into three factors: commitment of useful information, activity of leading on-line, and habit. The based on a factor analysis, cluster analysis was adopted to segment baby boomer customers. The identified four clusters showed in using on-line: type of active utilization, habit, seeking information and passive utilization. The clusters had significant differences in gender and monthly income by demographics. All of four clusters selected blog, face book, twitter in turn through the personal on-line channels. Cluster type of active utilization and habit selected restaurant home pages, restaurant blog, restaurant face book, restaurant twitter in turn through the public on-line channels. Cluster type of seeking information and passively utilization selected restaurant home pages, restaurant blog, restaurant twitter, restaurant face book in turn through the public on-line channels. Implications and future research were also discussed.
Point of interest (POI) of the city is a special place that has what importance to the user. For example, it is such landmark, restaurants, museums, hotels, and theaters. Because of its role in the social and economic life of us, these have attracted a lot of interest in location-based applications such as social networks and online map. However, while it can easily be obtained through the Web, the basic information of POI such as geographic location, another effort is required to obtain detailed information such as Wi-Fi, accepting credit cards, opening hours, romper room and the assessment and evaluation of other users. To solve these problems, a new method for correcting position error is required to link location-based social network service (LBSNS) data and POIs. This paper attempts to propose a position error correction method of POI and LBSNS data to enrich POI information from the vast information that is accumulated in LBSNS. Through this study, we can overcome the limitation of individual POI information via the information fusion method of LBSNS and POI, and we have discovered the possibility to be able to provide additional information which users need. As a result, we expect to be able to collect a variety of POI information quickly.
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