The purpose of this study was to analyze recognition characteristics of science gifted students on the earth system based on their thinking style. The subjects were 24 science gifted students at the Science Institute for Gifted Students of a university located in metropolitan city in Korea. The students' thinking styles were firstly examined on the basis of the Sternberg's theory of mental self-government. And then, the students were divided into two groups: Type I group(legislative, judicial, global, liberal) and Type II group(executive, local, conservative) based on Sternberg's theory. Data was collected from three different type of questionnaires(A, B, C types), interview, word association method, drawing analyses, concept map, hidden dimension inventory, and in-depth interviews. The findings of analysis indicated that their thinking styles were characterized by 'Legislative', 'Executive', 'Anarchic', 'Global', 'External', 'Liberal' styles. Their preference were conducting new projects and using creative problem solving processes. The results of students' recognition characteristics on earth system were as follows: First, though the two groups' quantitative value on 'System Understanding' was very similar, there were considerable distinctions in details. Second, 'Understanding the Relationship in the System' was closely connected to thinking styles. Type I group was more advantageous with multiple, dynamic, and recursive approach. Third, in the relation to 'System Generalization' both of the groups had similar simple interpretational ability of the system, but Type I group was better on generalization when 'hidden dimension inventory' factor was added. On the system prediction factor, however, students' ability was weak regardless of the type. Consequently, more specific development strategies on various objects are needed for the development and application of the system learning program. Furthermore, it is expected that this study could be practically and effectively used on various fields related to system recognition.
Recommender system recommends the items expected to be purchased by a customer in the future according to his or her previous purchase behaviors. It has been served as a tool for realizing one-to-one personalization for an e-commerce service company. Traditional recommender systems, especially the recommender systems based on collaborative filtering (CF), which is the most popular recommendation algorithm in both academy and industry, are designed to generate the items list for recommendation by using 'overall rating' - a single criterion. However, it has critical limitations in understanding the customers' preferences in detail. Recently, to mitigate these limitations, some leading e-commerce companies have begun to get feedback from their customers in a form of 'multicritera ratings'. Multicriteria ratings enable the companies to understand their customers' preferences from the multidimensional viewpoints. Moreover, it is easy to handle and analyze the multidimensional ratings because they are quantitative. But, the recommendation using multicritera ratings also has limitation that it may omit detail information on a user's preference because it only considers three-to-five predetermined criteria in most cases. Under this background, this study proposes a novel hybrid recommendation system, which selectively uses the results from 'traditional CF' and 'CF using multicriteria ratings'. Our proposed system is based on the premise that some people have holistic preference scheme, whereas others have composite preference scheme. Thus, our system is designed to use traditional CF using overall rating for the users with holistic preference, and to use CF using multicriteria ratings for the users with composite preference. To validate the usefulness of the proposed system, we applied it to a real-world dataset regarding the recommendation for POI (point-of-interests). Providing personalized POI recommendation is getting more attentions as the popularity of the location-based services such as Yelp and Foursquare increases. The dataset was collected from university students via a Web-based online survey system. Using the survey system, we collected the overall ratings as well as the ratings for each criterion for 48 POIs that are located near K university in Seoul, South Korea. The criteria include 'food or taste', 'price' and 'service or mood'. As a result, we obtain 2,878 valid ratings from 112 users. Among 48 items, 38 items (80%) are used as training dataset, and the remaining 10 items (20%) are used as validation dataset. To examine the effectiveness of the proposed system (i.e. hybrid selective model), we compared its performance to the performances of two comparison models - the traditional CF and the CF with multicriteria ratings. The performances of recommender systems were evaluated by using two metrics - average MAE(mean absolute error) and precision-in-top-N. Precision-in-top-N represents the percentage of truly high overall ratings among those that the model predicted would be the N most relevant items for each user. The experimental system was developed using Microsoft Visual Basic for Applications (VBA). The experimental results showed that our proposed system (avg. MAE = 0.584) outperformed traditional CF (avg. MAE = 0.591) as well as multicriteria CF (avg. AVE = 0.608). We also found that multicriteria CF showed worse performance compared to traditional CF in our data set, which is contradictory to the results in the most previous studies. This result supports the premise of our study that people have two different types of preference schemes - holistic and composite. Besides MAE, the proposed system outperformed all the comparison models in precision-in-top-3, precision-in-top-5, and precision-in-top-7. The results from the paired samples t-test presented that our proposed system outperformed traditional CF with 10% statistical significance level, and multicriteria CF with 1% statistical significance level from the perspective of average MAE. The proposed system sheds light on how to understand and utilize user's preference schemes in recommender systems domain.
Journal of the Korean Society of Clothing and Textiles
/
v.33
no.4
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pp.666-677
/
2009
The purpose of this study was to analyze market opportunities for Korean image fashion products, focusing on adolescents. In other words, preference, purchase intention and gift intention of adolescents on Korean image fashion products were analyzed. For this study, four stimuli which reflect Korean image were chosen. We measured design evaluation and adolescent fashion innovativeness. The subjects for this study were 219 high school students. The data were analyzed by descriptive statistics, ANOVA, Duncan test, cross-tabulation, correlation analysis, multiple regression. The more innovative the subject is, the higher the clothing purchase frequency and the purchase price are. Also, high-innovative group showed that they like Korean image fashion products more than low one. Product attributes such as prettiness and newness significantly influenced purchase intention for their own use and for others as a gift. In conclusion, when related marketers and scholars provide Korean image products that target adolescents, they should try to make those products more sophisticated and modern.
Journal of the Korean Society for Library and Information Science
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v.47
no.1
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pp.377-398
/
2013
The research has provided elementary and junior high school students at Children's Center in Incheon district and analyzed its effective factors in both educational and operational aspects. The educational factors in reading discussion include reading, writing, presenting, listening, and rethinking. In the result, the influential factors are as follows: the respondents' emotional intelligence, the level of reading completion, the level of sympathy with class participants, and the level of advance preference on reading. There are additional factors that have influences on the result, including suitability of topics, capabilities of leaders, selection of books, and combination of basic educational training, like speaking and writing.
In this paper, the expert system to reduce the amount of food waste is proposed. The method of material flow analysis (MFA) is applied. Proper handling of waste beyond the terms of the need for proactive research been mentioned before, but actually cause the waste generator research focuses on consumer behavior and the business community to analyze the flow of materials within the study are insufficient. In this paper, the type of food consumption and food waste, look at the relationship between the occurrence of secondary schools in the diet is provided for students to examine the preferences of the target model diet expert system was reconfigured. Preference for leaving the food in the diet leads to the important information that is Each diet recipes that make up the target material flow analysis (MFA) was constructed to perform all the database. This database is currently being generated from the rain while cooking diet edible plants and materials to reflect the self-esteem following the recommended diet is used to create. Reducing food waste is actually being used currently in research knowledge to the knowledge base was constructed. Future Home Smart System was developed in conjunction with the system to the user, by providing guidelines for the utilization can be expected.
The purpose of this study is to examine design preferences for the sales spaces of duty-free shops (DFSs) by conducting image evaluations. The results will help improve quality by influencing designs for the construction, extension or remodeling of these shops. An image measurement method, the semantic differential method, was used to measure cognitive structure using photos of shops. Photos were collected of the DFS at Jeju Island, as well as photos of brand stores designed by architects. Two sets of 16 photos (32 different photos in all) were selected according to photo classification standards and design concepts, both decided by reviewing previous studies and related materials. The evaluation and survey were done by two sets of subjects: sales employees, who have experience and special knowledge of the evaluation of sales space; and students majoring in architecture. To strengthen the evaluation results, I conducted a preliminary survey and a main survey, verifying and complementing findings. 116 surveys were conducted, of which 14 were of poor quality and rejected, leaving and 102 to be analyzed. The collected surveys were statistically analyzed, using SPSS 12.0 for Windows. Reliability, image profile, factor and multi-dimensional scaling analyses were conducted. As a result, image evaluation structure and characteristics were obtained for sales spaces of DFSs, confirming the difference between them and other spaces.
Modem biotechnology, specifically for the use of recombinant DNA(rDNA), has brought about a revolution in our ability to control and use life forms. Most of the world's leading countries view biotechnology as the key scientific and industrial discipline for the 21st century and are making all - out efforts for scientific and technological advance in the related fields. The impact of biotechnology on the nation's economy has been growing explosively as such diverse industries invested increasingly on the fruits of biotechnological research. However, such an impact could only be realized through concerted endeavours from the government to private sectors for guarantee of the successful technological advances in this scientific area. There are risks associated with every technology; the classical application of biotechnology has not been exempt. For example, the introduction of bio-tech to agriculture might be destroied the ecosystems. Therefore, to increase the research budgets by the government and private sectors, we need to identify the public attitudes and preference on the acceptance of bio-technology and on the potential economic value of it. For the study, we surveied 959 persons including students enrolled in college of agriculture, Chungnam National University. And to measure the economic value of biotechnology, we use the Contingent Valuation Method(CVM) which is considered as the new approaching method in the bio-technology field.
The purpose of this study was to investigate the storage and cooking of eggs in addition to the purchase of special eggs. This survey was tarried out through questionnaire and subjects were 429 housewives whose children were middle or high school students in Kyunggi-do and Inchon. Most housewives began to purchase special eggs one year ago. When housewives purchased special eggs, the first consideration was in order of nutrition, freshness, price and preference. The higher housewives' education level was, the higher they took nutrition into consideration. More than half of housewives replied that the proper package of special eggs was 10 eggs or more, and perceived that the period between producers of eggs and consumers was less than 5 days. Most housewives did the freshness test by checking roughness of shell surface or the interior quality of egg yolk and white after purchase. Also most housewives stored eggs in the inside rack of refrigerator door. Most housewives served dishes made from eggs more than 2 or 3 times per week and perceived that soft-boiled eggs are foods easy of digestion. These results suggested that it is necessary to supply fresh and nutritious eggs and to develop various dishes made from eggs for quickly-prepared meals.
Journal of the Korean Society for Library and Information Science
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v.38
no.1
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pp.121-141
/
2004
This study is a case study with four classes of sophomore majoring in library & information science in S woman's college, with a questionnaire, firstly to research the students' recognition of their experience on bibliotherapy and the time, their preference of the materials' genre for the bibliotherapy. usefulness of the bibliotherapy' subject, apply possibility into library work, and the field of science that must be supplemented for the bibliotherapy. Secondly. a direction of development is presented analyzing researched contents and lecture experiences, centering on the factors that should be complemented and prepared in studying or lecturing the course of bibliotherapy as a school subject in the field of library & information science hereafter.
This study aims to analyse the demand of people living in Songnam city for social education. The results of this study were intended to serve as basic material for the social education institution to work out policies for its development. Data, which reached a total of 435, were collected from parents of students, bank clerks, factory workers, and distribution workers, who were living in Choongwon, Sujeong, or Boondang ward of songnam City. The findings of the study were as follows. 1. About 85.7% of the respondents were applying for a social education program : However, given that 63.2% of the positive respondents presented conditional answers, adequate programs to meet their demand should be developed for turning it into effective demand. 2. Specialized vocational training Programs. family life Programs, health and hygienic education program, foreign language learning programs and hobby and leisure programs turned out to be favored. 3. Respondents showed a preference for active participation in the process of education including experiment and field work over remaining passive listeners to a lecture. As to the period of education, 1 to 2 months were most favored; two classes of about 2 hours per week, met on weekdays, were strongly recommended.
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