• Journal of the Korean association of regional geographers
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• v.21 no.4
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• pp.716-727
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• 2015

The location and distribution of daycare centers do not reflect local daycare demand enough although government has increased facilities and financial supports to solve the low birthrate as a social problem. This study tried to examine spatial inequality of daycare center distribution by comparing the number of daycare facilities between city and rural communities in Jeollanam-Do. Analyzing the differences between city (5 Cities) and rural area (17 Guns) in Jeollanam-Do, it has been found that there were large differences in the number of available facilities per 1,000 children between Cities (10.9 facilities) and Guns as rural area (6.2 facilities). The average number of facilities in each City and Gun also showed a large discrepancy as a City has 147.8 facilities and a Gun has 15.4 facilities, respectively. There were total 78 Dong or Myeon with no facility at all as a dead zone of daycare, and 8 of them were Myeons in cities with 560 children, which accounted for 0.7% of total population of children in cities. On the other hand, 70 Myeons in Guns with 5,269 children have no facilities at all, which accounted for 11% of total population of children in Guns. Public facilities that parents prefer were more in cities (87) than Guns (28). Therefore, it is necessary to consider various childcare policies with minimizing discrepancies between city and rural area and investigating more accurate local demands and characteristics.

• Korean Journal of Childcare and Education
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• v.19 no.2
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• pp.43-59
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• 2023

Objective: This study investigated the differences in preschool children's perceptions of artificial intelligence (AI) and their distribution by latent profiles according to their experience with AI robots in daycare centers. Methods: The participants included 119 five-year-old children, 52 of whom had experience with AI robots in daycare centers and 67 of whom did not. Children's perceptions of AI were measured using the Godspeed scale from Bartneck et al.(2009). Data were analyzed using a t-test, latent profile analysis, and chi-square test. Results: The results showed that compared to the inexperienced group, the experienced group reported lower levels of animacy and perceived intelligence of AI robots, indicating higher levels of AI knowledge and understanding. In addition, the experienced group had a higher probability of belonging to the 'machine recognition' type than 'organism recognition' type, although the difference was not statistically significant. Conclusion/Implications: The findings suggest that experience with AI robots in daycare centers can improve children's AI knowledge and understanding. To further enhance this effect, it is necessary to increase the number of robots put into classrooms, and to consider various teaching media that reflect children's preferences.

• Journal of Environmental Health Sciences
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• v.47 no.5
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• pp.398-409
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• 2021

Background: The types and effects of hazardous pollutants in indoor air may vary depending on the characteristics of the sources and pollutants caused by physical and chemical properties of buildings, the influence of outdoor air, and the exposure and use characteristics of residents. Objectives: This study was conducted to provide basic data on the establish of indoor air quality management for different classes of public-use facilities by presenting the characteristics of concentration distribution of hazardous pollutants by different public-use facilities and the status of the excess proportion of exceeding standards. Methods: This study analyzed self-measurement data from public-use facilities taken from 2017 to 2019 A total of 133,525 facilities were surveyed. A total of 10 types of pollutants that have maintenance and recommended standards stipulated in the Indoor Air Quality Control Act from the Ministry of Environment were investigated. The excess proportion and the substances exceeding the criteria for each type of public-use facilities for these pollutants were investigated. Results: As a result of the analysis of the proportion of exceeding the standard for each type of public-use facility, the facilities with the highest excess proportion of the standards for each hazardous pollutant were: PM₁₀ in railway stations (8.93%), PM_2.5 in daycare centers (7.36%), CO₂ in bus terminals (2.37%), HCHO in postpartum care centers (4.11%), total airborne bacteria in daycare centers (0.69%), CO in museums (0.1%), NO₂ in postpartum care centers (1.15%), Rn in museums (0.78%), total volatile organic compounds in postpartum care centers (7.20%) and mold in daycare centers (1.44%). Conclusions: Although uncertainty may arise because this study is a result of self-measurement, it is considered that this study has significance for providing basic data on the establishment in the future of indoor air quality management measures customized for each type of public-use facility.

• Korean Journal of Child Education & Care
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• v.18 no.4
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• pp.145-158
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• 2018

Objective: The purpose of this study was to investigate the effects of distribution justice, procedural justice, and interactional justice which are the sub-factors of organizational justice on organizational commitment and turnover intention, so as to enhance the quality of childcare and identify the importance of organizational justice. Methods: For the study, the data were collected by measuring the organizational justice, organizational commitment, and turnover intention of 251 teachers working in home day care centers in Busan, Ulsan, and Gyeongnam, and then Pearson's product moment correlation coefficient and regression analysis (stepwise) were conducted. Results: The results are as follows. First, organizational commitment was significantly different in the age in terms of the general background of daily care teachers, as well as the period of service of their current organization, and the turnover intention showed a significant correlation with their salary. Second, the sub-factors of organizational justice and organizational commitment were positively correlated, but turnover intention was negatively correlated. Among them, in terms of organizational commitment, procedural justice and turnover intention were highly correlated with distribution justice. Third, the relative impact of the sub-factors of organizational justice on organizational commitment was high in procedural justice and distribution justice. The relative influence on turnover intention was high in distribution justice and interactional justice. Conclusion/Implications: Therefore, the results of this study indicate that organizational justice is a influential variable on organizational commitment and turnover intention, and suggest that it needs to make efforts to strengthen organizational justice for the operation of home daycare centers.

• Journal of Environmental Health Sciences
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• v.46 no.4
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• pp.359-367
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• 2020

Objectives: Exposure to mold is strongly associated with adverse health effects (development or exacerbation of allergic diseases). We reviewed the health effects of mold exposure and explored to determine the annual distribution of indoor mold in facilities with susceptible populations. Methods: The health effects of mold exposure were mainly summarized by reviewing related papers and WHO research reports. We selected 10 facilities, including daycare centers, postpartum care centers, medical institutions, and elderly care facilities within the Seoul Metropolitan. Mold sampling was performed once every week or once every quarter from February 2016 to 2017. In addition, fungal species analyses was performed, and distribution status by month and facility was analyzed in the same manner as concentration. Results: Adverse health effects attributed to fungal exposure are largely divided into allergic symptoms, toxic effects, and infectious effects. Monthly mean concentrations of mold indoors and outdoors was 368.8 CFU/㎥ (geometric mean 213.4 CFU/㎥) and 496.0 CFU/㎥ (327.9 CFU/㎥), respectively. The indoor concentration has begun to increase in February, peaked in July, declined in August, increased again until October, and then decreased in November. About 36 genera of indoor fungal species were found in each facility. Cladosporium sp., Penicillium sp., Fusarium sp., Aspergillus sp., Alternaria sp., and Arthrinium sp. were observed as the dominant species. Conclusions: Our findings showed that the overall level of indoor mold was below the 500 CFU/㎥ level recommended by the Ministry of Environment. The development of DNA-based assessment and expanding facilities to be monitored for mold would be necessary for preventive aspects.

• Journal of Korean Society of Rural Planning
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• v.28 no.4
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• pp.1-9
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• 2022

Rural decline due to the decrease of the local population is an inevitable phenomenon, and a vicious cycle has been formed between a lack of basic living services and a population decrease in rural areas. Therefore, the study aims to derive the migration decision-making characteristics based on basic living service infrastructure data in rural areas. To do this, the population change over the past 20 years was categorized into six types, and the relationship between the classified population change types and the number of basic living service infrastructures was analyzed using decision tree analysis. Of the total 3,501 regions, 801 regions were the continuous decline type, of which 740 were rural areas. On the other hand, among 569 regions that were the continuous increase type, 401 regions were urban areas, confirming the population imbalance between rural and urban areas. As a result of the decision tree analysis on the relationship between population change types and the distribution of basic living service infrastructure, the number of daycare centers was derived as an important variable to classify the continuous increase type. Hospitals, parks, and public transportation were also found to be major basic living services affecting the classification of population change types.