• Title/Summary/Keyword: regrouped classes

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A Qualitative Study on Difficulties of Teachers and Young Children in the Operation of the Full day Public Kindergarten Classes Regrouped in the Afternoon (공립유치원의 오후 재편성 종일반 운영에 따른 교사와 유아의 어려움에 대한 질적 연구)

  • Seo, Hyun;Lee, Seung-Eun
    • Korean Journal of Human Ecology
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    • v.17 no.3
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    • pp.399-411
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    • 2008
  • The study purposes to survey teacher's and child's difficulties which full day classes of public kindergarten regrouped in the afternoon time are having. The subjects are 4 full day class pre-service kindergarten teachers and 8 full-day class children in G Metropolitan City and in J Province. Data were collected through in depth interviews and participatory observation. According to the results, the variables of teachers' difficulties in managing full day classes regrouped in the afternoon time are "living as an outsider without a sense of belonging", "living as a false teacher rather than a real class teacher", and "living as a teacher giving specialty and aptitude education". The variables of children's difficulties are "moving like a migratory bird", "watching the clock and the door", and "being unable to concentrate". The study is expected to be useful as one of basic findings for desirable management of kindergarten full day classes regrouped in the afternoon time.

Study on Application of Topographic Position Index for Prediction of the Landslide Occurrence (산사태 발생지 예측을 위한 Topographic Position Index의 적용성 연구)

  • Woo, Choong-Shik;Lee, Chang-Woo;Jeong, Yongho
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.11 no.2
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    • pp.1-9
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    • 2008
  • The objective of the study is 10 know the relation of landslide occurrence with using TPI (Topographic Position Index) in the Pyungchang County. Total 659 landslide scars were detected from aerial photographs. To analyze TPI, 100m SN (Small-Neighborhood) TPI map, 500m LN (Large-Neighborhood) TPI map, and slope map were generated from the DEM (Digital Elevation Model) data which are made from 1 : 5,000 digital topographic map. 10 classes clustered by regular condition after overlapping each TPI maps and slope map. Through this process, we could make landform classification map. Because it is only to classify landform, 7 classes were finally regrouped by the slope angle information of landslide occurrence detected from aerial photography analysis. The accuracy of reclassified map is about 46%.