• Journal of the Korean Data and Information Science Society
• /
• v.20 no.6
• /
• pp.983-990
• /
• 2009

Campus dormitories function as residence halls, which are quarters or entire buildings for residents to conveniently sleep, eat, and study in. And these functions lead us to refer to dormitories as quarters providing residence, food, and an academic atmosphere. Yet, of these functions, the restaurant service acts on dormitory applicants' and their parents' choice of dormitories as strongly as the others do. It is not optional for the residents but compulsory. All residents are required to eat at the restaurants attached to their dormitories. Therefore, when most of the dormitory applicants and their parents look for their favorite dormitories, they won't miss looking into how good the restaurant service is. Considering this tendency, this research, which takes samples of residents as subjects of investigation, aims to survey the service quality of the dormitory restaurants and to find how to enhance the service quality. The result, which is measured and analyzed on the basis of statistical methods, indicates that the responsiveness and empathy to the restaurant service are statistically the significant factors for dormitory applicants and their parents in choosing their favorite dormitories.

• Korean Journal of Human Ecology
• /
• v.22 no.1
• /
• pp.215-230
• /
• 2013

This study aims at examining perception, life style and food habits by residence type in female college students. The data analysis were conducted by a body fat analyzer and questionnaire survey. The subjects were 230 female college students divided into three groups: home-living group, dormitory group, and self-boarding group. The age of the subjects was 20.3~21.7 years old. Among the subjects, 46.1% were home-living group, 27.4% dormitory group, and 26.5% self-boarding group. There was no significant satisfaction of body weight by residence type. Their exercise frequency were not significant by the groups. The exercise time per day was much in home-living group than dormitory group, and self-boarding group(p<0.05). The meal eating time was regular in dormitory group than in home-living group and self-boarding group at p<0.05. 'Frequency of much food intake', 'frequency of restaurant meal', and 'saltness' were significant by the groups at p<0.05 respectively. Breakfast frequency was significant different by the groups at p<0.05. Intakes frequency of cereals in breakfast, meats in breakfast, vegetables in breakfast was different by the groups at p<0.05.

• Journal of Practical Agriculture & Fisheries Research
• /
• v.21 no.1
• /
• pp.99-114
• /
• 2019

In this study we examined the preferences of eight college living factors for students at Korea National College of Agriculture and Fisheries(KNCAF). Analytical techniques of unstructured data used opinion mining and text mining techniques, and the analysis results of text mining were visualized as word cloud. The college life factors included eight topics that were closely related to students: 'my present', 'my 10 years later', 'friendship', 'college festival', 'student restaurant', 'college dormitory', 'KNCAF', and 'long-term field practice'. In the text submitted by the students, we have established a dictionary of positive words and negative words to evaluate the preference by classifying the emotions of positive and negative. As a result, KNCAF students showed more than 85% positive emotions about the theme of 'student restaurant' and 'friendship'. But students' positive feelings about 'long-term field practice' and 'college dormitory' showed the lowest satisfaction rate of not exceeding 60%. The rest of the topics showed satisfaction of 69.3~74.2%. The gender differences showed that the positive emotions of male students were high in the topics of 'my present', 'my 10 years later', 'friendship', 'college dormitory' and 'long-term field practice'. And those of female were high in 'college festival', 'student restaurant' and 'KNCAF'. In addition, using text mining technique, the main words of positive and negative words were extracted, and word cloud was created to visualize the results.