• The Journal of the Korea Contents Association
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• v.12 no.11
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• pp.76-87
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• 2012

This study examined Korean and the U.S.A..'s television anti-smoking advertisements that were coined to discourage adults and teens smoking. A content analysis of 71 television advertisements listed in the "Smoking Guidance Program" operated by Korea Health Promotion Foundation. This study evaluated to detect whether the advertising content reflected core health communication theories such as health belief model, theory of reasoned action, and social cognitive theory used in the designing of anti-smoking ad message to change behavior and attitudes toward smoking unfavorably. The results showed that Korean anti-smoking ads mostly relied on social norm messages, followed by smoking attitude. The message of modeling and self-efficacy was least used; while, the U.S.A. ads focused more on modeling and self efficacy. This difference comes from the cultural difference. Namely, Korea focused more on collectivism rather than individualism. The anti-smoking ads of Korea and the U.S.A. most frequently adopted horror and humor rather than sadness, no appeal, and angry. The ads targeted more on adults rather than teens. The research identifies the types of advertisements that are most likely to utilized and underutilize in the Korea and U.S.A. anti-smoking ads and contribute to further understandings of anti-smoking ads theoretically.

• Journal of Nutrition and Health
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• v.9 no.1
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• pp.25-42
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• 1976

In order to determine nutrition education needs and related problems, a study was conducted of children's dietary habits, focusing on parental influence and degree of agreement between parent and child on foods liked, accepted, or disliked, in addition to a general survey of food atiitudes. This study was conducted throughout a two-month period, June to July of 1974. One thousand children of both sexes, from the fifth grade, junior and senior high schools of Seoul city, and their 2,000 matched parents, were surveyed, Teachers distributed questionnaires in the classroom and assisted the children in answering. Questionnaires also were distributed to the parents through their children, after the teachers explained the procedure of study. As to the influence of parents' food preferences, the following conclusiolns can be reached, in light of the results of chi-square tests conducted: 1. Agreement between mother and child on food preference was much higher than that between father and child, regardless of sex or birth order of the child. This observed difference in degree of agreement was greatest for children in the middle birth order, and greater for girls than for boys. 2. Various food attitudes: a. Food preferences: Beef, milk, and mandoo (boiled or steamed, filled dumplings) were extremely well liked by all subjects, regardless of age or sex. Cucumber, lettuce, and spinach also were lied. Most disliked foods were fatty layers of pork and liver. Cooked rice in the too wet or too dry state and pork were low preference items. b. Socioeconomic background and dietary practice: Higher educational background of the wife and higher income level of the family were associated with greater knowledge of nutrition, and interest in family nutrition and in introducing new foods to the family. But use of food as prize or punishment was found, regardless of the mother's educational and economic status. c. Change of food habit: Over 70 percent of subject had changed ad improved their dietary habits, mostly by reason of husbands' and wives' mutual influence after marriage. This study emphasized the great importance of nutrition eudation for mothers, and their prominent role and responsility in guiding the family to better nutrition, whatever the mother's educational background.

• Journal of Korean Academy of Nursing
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• v.25 no.3
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• pp.581-596
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• 1995

Clinical practice in nursing education provides an opportunity for students, through the process of ap-plying theoretical knowledge to practice, and to learn nursing skills as well as being socialized into nursing and as such decrease the reality shock of actual nursing practice. Because of a shortage of nursing faculty, the job of achieving the objectives of the clinical practice had been turned over to the head nurses. This resulted in many problems, such as, unclear location of responsibilities and inadequate feedback from head nurses. Therefore this study was done to introduce and evaluate the use of preceptors as a way to minimize the above problems, and to maximize the achievement of the clinical practice objectives. Using an adaptation of Zerbe's (1991) three-tiered team model, clinical practice was done using a preceptor, a head nurse and a clinical instructor, each with different and well defined roles. The subjects of this study were 67 senior students of the College of Nursing of Y University in Seoul whose clinical practice in adult nursing was carried out between May 1, 1994 and December 8, 1994. There were 22 preceptors who had at least two years of clinical experience and who were recommended by their head nurses. They were given additional education on the philosophy and objectives of the College of Nursing, on communication skills, on the theory and practice of education, and on nursing diagnosis and education evaluation. The role of the preceptor was to work one-to-one with students in their practice. The role of the head nurse was to supervise and evaluate the preceptors. The role of the clinical instructor was to provide the education program for the preceptors, to provide ad-vice and suggestions to the preceptors and to maintain lines of communication with the college. With each of these roles in place, it was thought that the effectiveness and efficiency of the clinical practice could be increased significantly. To evaluate the effectiveness of the preceptorship, the three - tiered model, Lowery's Teacher Evaluation Opinion Form translated and adapted to Korea was used to measure student statisfaction. The Clinical Practice Compentency Evaluation Tool developed by Lee et ai was also used to measure student competencies. The results of this study are as follows 1. The satisfaction with clinical practice was higher with the introduction of the perceptors than it was before they were used. (t=-5.96, p=<.005) 2. The clinical practice competencies were higher with the introduction of the preceptors than it was before they were used(t=-5.l3, p<.005) 3. In order to analyze areas not measured by the quantitative tools additional analysis of the open questions was done. The results of this analysis showed that : 1) The students felt positive about their sense of security, confidence, handling of responsbility, and being systematic. They also felt positive about improvements in knowledge, opportunities for direct care, and socialization. 2) The students felt negative about the technical part of their role, lack of knowledge by the preceptor, unprofessional attitudes on the part of the preceptor, difficulty in the role of the professional nurse(student). 3) The preceptors felt positive about their responsibility, motivation, and relationship with the college. 4) The preceptors felt negative about their bur-den. Introduction of the preceptorship model will lead to change and improvement in the negative factors discussed above, solve problems in the present clinical education system, increase continuity in the education of the students, help with socialization of the students and motivation of the preceptors to up-grade their education and increase their confidence. These objectives must be obtained to further the development of professional nursing, and thus, making the preceptorship a reality is our job for the future.

• Journal of Intelligence and Information Systems
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• v.19 no.1
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• pp.95-110
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• 2013

Recently, the amount of unstructured data being generated through a variety of social media has been increasing rapidly, resulting in the increasing need to collect, store, search for, analyze, and visualize this data. This kind of data cannot be handled appropriately by using the traditional methodologies usually used for analyzing structured data because of its vast volume and unstructured nature. In this situation, many attempts are being made to analyze unstructured data such as text files and log files through various commercial or noncommercial analytical tools. Among the various contemporary issues dealt with in the literature of unstructured text data analysis, the concepts and techniques of opinion mining have been attracting much attention from pioneer researchers and business practitioners. Opinion mining or sentiment analysis refers to a series of processes that analyze participants' opinions, sentiments, evaluations, attitudes, and emotions about selected products, services, organizations, social issues, and so on. In other words, many attempts based on various opinion mining techniques are being made to resolve complicated issues that could not have otherwise been solved by existing traditional approaches. One of the most representative attempts using the opinion mining technique may be the recent research that proposed an intelligent model for predicting the direction of the stock index. This model works mainly on the basis of opinions extracted from an overwhelming number of economic news repots. News content published on various media is obviously a traditional example of unstructured text data. Every day, a large volume of new content is created, digitalized, and subsequently distributed to us via online or offline channels. Many studies have revealed that we make better decisions on political, economic, and social issues by analyzing news and other related information. In this sense, we expect to predict the fluctuation of stock markets partly by analyzing the relationship between economic news reports and the pattern of stock prices. So far, in the literature on opinion mining, most studies including ours have utilized a sentiment dictionary to elicit sentiment polarity or sentiment value from a large number of documents. A sentiment dictionary consists of pairs of selected words and their sentiment values. Sentiment classifiers refer to the dictionary to formulate the sentiment polarity of words, sentences in a document, and the whole document. However, most traditional approaches have common limitations in that they do not consider the flexibility of sentiment polarity, that is, the sentiment polarity or sentiment value of a word is fixed and cannot be changed in a traditional sentiment dictionary. In the real world, however, the sentiment polarity of a word can vary depending on the time, situation, and purpose of the analysis. It can also be contradictory in nature. The flexibility of sentiment polarity motivated us to conduct this study. In this paper, we have stated that sentiment polarity should be assigned, not merely on the basis of the inherent meaning of a word but on the basis of its ad hoc meaning within a particular context. To implement our idea, we presented an intelligent investment decision-support model based on opinion mining that performs the scrapping and parsing of massive volumes of economic news on the web, tags sentiment words, classifies sentiment polarity of the news, and finally predicts the direction of the next day's stock index. In addition, we applied a domain-specific sentiment dictionary instead of a general purpose one to classify each piece of news as either positive or negative. For the purpose of performance evaluation, we performed intensive experiments and investigated the prediction accuracy of our model. For the experiments to predict the direction of the stock index, we gathered and analyzed 1,072 articles about stock markets published by "M" and "E" media between July 2011 and September 2011.