19 research outputs found

    ํ•œ๊ตญ ์„ฑ์ธ์—์„œ ์—ฐ๋ น๊ณผ ์„ฑ๋ณ„์ด ์ˆ˜๋ฉด์‹œ๊ฐ„๊ณผ ๋Œ€์‚ฌ์ฆํ›„๊ตฐ์˜ ๊ด€๋ จ์„ฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

    No full text
    ๋ณด๊ฑดํ•™๊ณผ/์„์‚ฌObjectiveA growing number of studies have reported that both short and long sleep duration are associated with an increased risk for abdominal obesity, dyslipidemia, raised blood pressure, glucose dysregulation. The latter being the components of metabolic syndrome, it is of interest the relationship that sleep duration has on the development of metabolic syndrome. Previous studies performed on the Korean adult population found short and long sleep duration to be related to an increased risk of metabolic syndrome. However, these analyses were done utilizing a limited number of participants and were not age- or gender-specific. The present study evaluated the effect of sleep duration on prevalent metabolic syndrome in Korean adults utilizing nationally representative data, and investigated if gender and age modify this relationship.MethodsA cross-sectional analysis of the Korean National Health and Nutrition Examination Survey was performed on a final population of 24,511 participants (59.2% female) aged 20-79 years. Sleep duration was categorized into five groups: โ‰ค 5, 6, 7 (referent), 8, and โ‰ฅ 9 h/day. The effect of age and sex on the relationship between sleep and metabolic syndrome was investigated using the log likelihood test. The ages of men and women were categorized into 20-39 y, 40-59 y, and 60-79 y after discovering age was a significant effect modifier. Logistic regression analysis was used to test the hypothesis that sleep duration is significantly associated with the presence of metabolic syndrome in adults.ResultsThe prevalence of metabolic syndrome by sleep category demonstrated a U-shaped pattern among the total population. Women sleeping โ‰ค 5 h/day had the highest prevalence compared to 7 h/day (36% vs. 21%). After adjustment for potential confounders, women sleeping โ‰ฅ 9 h/day had a 1.43 times higher odds (95% CI, 1.18-1.74) of prevalent metabolic syndrome compared to those sleeping 7 h/day. Young women (20-39y) sleeping โ‰ฅ 9 h/day were the most likely to have metabolic syndrome with a 2.13 higher odds (95% CI, 1.38-3.38) compared with young women sleeping 7 h/day. The relationship persisted in middle-aged women (40-59y) who were long sleepers (OR = 1.63; 95% CI 1.21-2.21). Only in the total male population was there an increased risk for metabolic syndrome if sleeping โ‰ฅ 9 h/day (OR = 1.26; 95% CI 1.01-1.57).ConclusionThese data suggest that sleep duration is associated with metabolic syndrome; however, age and gender significantly modify the relationship. For the total population, long and short sleep duration was associated with metabolic syndrome in the unadjusted model. However, the relationship only remained significant for long sleepers after adjusting for significant confounding variables. Young and middle aged women were found to be at increased odds of metabolic syndrome if sleeping long hours. Short sleep duration was not associated with metabolic syndrome in this study population. Additional studies are needed to investigate the temporal relationship between these measures in the Korean population.restrictio

    ็Žฐไปฃๆฑ‰่ฏญ้žๅค„ๆ‰€ๅŠจ่ฏ+ๅœจ+XPๆž„ๅผ็ ”็ฉถ

    No full text
    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ธ๋ฌธ๋Œ€ํ•™ ์ค‘์–ด์ค‘๋ฌธํ•™๊ณผ,2020. 2. ๋ฐ•์ •๊ตฌ.ํ˜„๋Œ€ ์ค‘๊ตญ์–ด์—๋Š” ์ฒ˜์†Œ๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ๋‹ค์–‘ํ•œ ๊ตฌ๋ฌธ์ด ์กด์žฌํ•˜์ง€๋งŒ ๊ทธ ์ค‘์—์„œ๋„ V+ๅœจ+XP์™€ ๅœจ+XP+V๋Š” ๋†’์€ ์‚ฌ์šฉ๋นˆ๋„๋ฅผ ๋ณด์ธ๋‹ค. ์ „์น˜์‚ฌ๊ฐ€ ๋™์‚ฌ์— ํ›„์น˜ํ•˜๋Š” V+ๅœจ+XP๋Š” ์ฒ˜์†Œ์˜๋ฏธ๋ฅผ ๋‹ด๋‹นํ•˜๋Š” ๊ตฌ๋ฌธ์ด์ง€๋งŒ ์ฒ˜์†Œ์™€ ๋ฌด๊ด€ํ•œ ๋™์‚ฌ์™€ ๊ฒฐํ•ฉํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ์กด์žฌํ•˜๋ฉฐ ์ƒํ™ฉ์— ๋”ฐ๋ผ ์žฅ์†Œ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ~์„ ๊ฐ€๊ฒฉํ•˜๋‹ค, ~ํ•  ๋•Œ ~์„ ํ•˜๋‹ค, ์–ด๋– ํ•œ ๊ฒฐ๊ณผ๊ฐ€ ๋ฐœ์ƒํ•œ ๊ฒƒ์€ ~ ๋•Œ๋ฌธ์ด๋‹ค ๋“ฑ ๋Œ€์ƒ, ์‹œ๊ฐ„๊ณผ ์›์ธ์— ๋Œ€ํ•œ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•œ๋‹ค. ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์‹œ๊ฐ„์ˆœ์„œ์›์น™์„ ์ค€์ˆ˜ํ•œ๋‹ค๊ณ  ์—ฌ๊ฒจ์ ธ ์™”๋˜ ํ•ด๋‹น ๊ตฌ๋ฌธ์€ ์‚ฌ๋žŒ์˜ ์ธ์ง€์— ์œ„๋ฐฐ๋˜๋Š” ํ˜„์ƒ์„ ๋ณด์ด๊ธฐ๋„ ํ•œ๋‹ค. ๋ณธ๊ณ ๋Š” ๊ตฌ๋ฌธ์˜ ๊ฐ ๊ตฌ์„ฑ์„ฑ๋ถ„, ํŠนํžˆ ๋™์‚ฌ ํŠน์„ฑ์—์„œ ์ถœ๋ฐœํ•˜์—ฌ ๋™์‚ฌ์˜ ์ถœํ˜„ ๊ธฐ์ œ, ๊ตฌ๋ฌธ๊ฐ„์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ํŒŒ์•…ํ•˜๊ณ , ์‹œ๊ฐ„์ˆœ์„œ์›์น™์— ๋Œ€ํ•ด ์žฌ์กฐ๋ช…ํ•˜์—ฌ ๊ฐ ์š”์†Œ๊ฐ€ ์–ด๋–ป๊ฒŒ ์ƒํ˜ธ์ž‘์šฉํ•˜๋Š”์ง€์— ๋Œ€ํ•ด ๊ณ ์ฐฐํ•˜์˜€๋‹ค. ๊ตฌ์ฒด์ ์ธ ๋ถ„์„์€ ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ํ•ด๋‹น ๊ตฌ๋ฌธ์— ๊ด€๋ จ๋œ ์˜ˆ๋ฌธ์— ์ž…๊ฐํ•˜์—ฌ ๊ตฌ๋ฌธ์ด ๋‚˜ํƒ€๋‚ด๋Š” ์˜๋ฏธ ์œ ํ˜•์„ ์žฅ์†Œ, ๋Œ€์ƒ, ์‹œ๊ฐ„, ์›์ธ ๋„ค ๊ฐ€์ง€๋กœ ๊ท€๋‚ฉํ•˜์˜€๊ณ , ์˜ˆ๋ฌธ์— ๋Œ€ํ•œ ์ „๋ฐ˜์ ์ธ ๋ถ„์„์„ ํ†ตํ•ด ๊ฐ ์œ ํ˜•์—์„œ์˜ ๋™์‚ฌ์™€ ์‚ฌ์šฉ๋นˆ๋„๋ฅผ ๋ชฉ๋กํ™”ํ•˜์˜€๋‹ค. ๋‘˜์งธ, ๋™์‚ฌ์˜ ํŠน์„ฑ์—์„œ ์ถœ๋ฐœํ•˜์—ฌ ๋™์ž‘์˜ ์ด๋™์„ฑ, ์ž์ฃผ์„ฑ, ์ƒ์  ์˜๋ฏธ๊ฐ€ ๊ตฌ๋ฌธ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•ด ๊ตฌ์ฒด์ ์œผ๋กœ ์‚ดํŽด๋ณด์•˜๊ณ  ๊ทธ ๊ฒฐ๊ณผ ๋Œ€๋ถ€๋ถ„์˜ ๊ฒฝ์šฐ ๋™์ž‘์˜ ์ƒ์ ์˜๋ฏธ, ์ž์ฃผ์„ฑ ๋“ฑ ์˜๋ฏธ์  ํŠน์„ฑ์ด XP์˜ ์œ ํ˜•๊ณผ ๊ตฌ๋ฌธ์˜ ๊ตฌ์กฐ์— ์ง์ ‘์ ์ธ ์˜ํ–ฅ์„ ์ฃผ๋Š” ๊ฒƒ์„ ๋ฐํ˜”๋‹ค. ์…‹์งธ, ์ด๋™์˜๋ฏธ์™€ ๋™์ž‘์˜ ์ž์ฃผ์„ฑ์ด ๊ตฌ๋ฌธ์˜ ์–ด์ˆœ์„ ์ขŒ์šฐํ•˜๋Š” ๊ฒฐ์ •์ ์ธ ์š”์†Œ์ž„์„ ๋„์ถœํ•ด๋ƒˆ๋‹ค. ๋™์ž‘์ด ์ด๋™์„ ๋‚˜ํƒ€๋‚ผ ๋•Œ V์™€ XP๋Š” ์ด๋™๊ณผ ๋„๋‹ฌ์„ ์˜๋ฏธํ•˜์—ฌ ์‚ฌ๊ฑด์˜ ๋ฐœ์ƒ์ˆœ์„œ๊ฐ€ ๊ตฌ๋ฌธ์˜ ์–ด์ˆœ์„ ํ†ตํ•ด ๋‚˜ํƒ€๋‚œ ๊ฒƒ์ด๋ผ๊ณ  ์ดํ•ดํ•  ์ˆ˜ ์žˆ๊ณ  ๋ฐ˜๋ฉด XP๊ฐ€ ์‹œ๊ฐ„๊ณผ ์›์ธ์„ ๋‚˜ํƒ€๋‚ผ ๋•Œ V๋Š” ๋ชจ๋‘ ์˜ˆ์ธก ๋ถˆ๊ฐ€๋Šฅํ•œ ์‚ฌ๊ฑด์„ ๋ฌ˜์‚ฌํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๊ตฌ๋ฌธ์€ ์‚ฌ๋žŒ์ด ์‚ฌ๊ฑด์„ ์ธ์ง€ํ•˜๋Š” ๋ฐ ์žˆ์–ด ๋Œ๋ฐœ ์ƒํ™ฉ์„ ๋จผ์ € ์ธ์ง€ํ•˜๊ณ  ๊ทธ ํ›„์— ์ƒํ™ฉ์— ๋Œ€ํ•œ ํ‰๊ฐ€/ํŒ๋‹จ์„ ํ•˜๋Š” ์ธ์ง€์  ์ˆœ์„œ๋ฅผ ๋ฐ˜์˜ํ•œ ๊ฒฐ๊ณผ๋ผ๊ณ  ํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด๋Š” ์‹œ๊ฐ„์ˆœ์„œ์›์น™์˜ ์—ฐ์žฅ์„ ์ƒ์—์„œ ์ถฉ๋ถ„ํžˆ ์ดํ•ด๋  ์ˆ˜ ์žˆ๋Š” ๋ถ€๋ถ„์ด๋ฉฐ ๊ฒฐ๊ณผ์ ์œผ๋กœ ๋ชจ๋“  ๊ตฌ๋ฌธ์€ ์‹œ๊ฐ„์ˆœ์„œ์›์น™์„ ์ค€์ˆ˜ํ•จ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๋„ท์งธ, ๋‹ค์–‘ํ•œ ๊ตฌ์กฐ๋ณ€ํ™˜์„ ํ†ตํ•ด ๊ตฌ๋ฌธ๊ณผ ๋™์‚ฌ์˜ ํŠน์„ฑ์— ๋Œ€ํ•ด ์ง„์ผ๋ณดํ•œ ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ๋™์‚ฌ๊ฐ€ ์ด๋™์˜ ์˜๋ฏธ๋ฅผ ๋‚ด์žฌํ•˜๋ฉด ๊ตฌ๋ฌธ์€ ๊ฐ•ํ•œ ์ฒ˜์†Œ์„ฑ์„ ์ง€๋‹ˆ๊ณ  ๅœจ๋ฅผ ์ƒ๋žตํ•œ ํ˜•ํƒœ๋กœ ์ถœํ˜„๊ฐ€๋Šฅํ•˜๋ฉฐ, ๋™์‚ฌ๊ฐ€ ๋™์ž‘์„ฑ๊ณผ ์ด๋™์„ฑ์„ ์žƒ์„ ๊ฒฝ์šฐ ๊ตฌ๋ฌธ์€ ์ฒ˜์†Œ์„ฑ์„ ์ƒ์‹คํ•˜๊ณ  ๅœจ์— ๋Œ€ํ•œ ์˜์กด์ด ๊ฐ•ํ•ด์ง„๋‹ค. XP์˜ ๊ตฌ์กฐ๋Š” ๊ธฐ๋ณธ์ ์œผ๋กœ ๋ช…์‚ฌ์„ฑ์„ ๋ ๊ณ  ๊ตฌ๋ฌธ ์˜๋ฏธ๊ฐ€ ์ถ”์ƒ์ ์ผ์ˆ˜๋ก ๋ณต์žกํ•œ ํ˜•ํƒœ๋ฅผ ํ•œ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ถ”์ƒํ™”๊ฐ€ ๊ณ„์†ํ•ด์„œ ์ง„ํ–‰๋œ๋‹ค๋ฉด ๋ฐฉ์œ„์‚ฌ๋„ ์ƒ๋žต๊ฐ€๋Šฅํ•˜๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ๊ตฌ๋ฌธ๋ฌธ๋ฒ•์˜ ๊ด€์ ์—์„œ ๊ฐ ๊ตฌ๋ฌธ์ด ํ™•์žฅ์ƒ์†์— ์˜ํ•ด ๊ธฐ๋ณธ์ ์ธ ์ด๋™์˜๋ฏธ์™€ ๋น„์ด๋™์˜๋ฏธ๋ฅผ ์ƒ์†ํ•˜์—ฌ ๋‘ ๊ฐˆ๋ ˆ๋กœ ํ™•์žฅํ•˜์˜€์Œ์„ ๊ทœ๋ช…ํ•˜์˜€๋‹ค. ์ด๋™์˜๋ฏธ๊ฐ€ ์žˆ๋Š” ๊ตฌ๋ฌธ์˜ ๊ฒฝ์šฐ ์ด๋™์„ฑ์„ ์ ์ฐจ ์ƒ์‹คํ•จ์— ๋”ฐ๋ผ ๊ธฐ๋Šฅ์ด ํ™•์žฅ๋˜๊ณ , ์ด๋™์˜ ์˜๋ฏธ๊ฐ€ ์—†๋Š” ๊ตฌ๋ฌธ์˜ ๊ฒฝ์šฐ ์ž์ฃผ์„ฑ์„ ์žƒ๊ณ  ์€์œ ์˜ ๊ธฐ์ œ๋ฅผ ํ†ตํ•ด ์žฅ์†Œ ์˜๋ฏธ์—์„œ ์‹œ๊ฐ„ ์˜๋ฏธ๋กœ, ์‹œ๊ฐ„ ์˜๋ฏธ์—์„œ ๋˜ ์›์ธ ์˜๋ฏธ๋กœ ์ถ”์ƒํ™”ํ•˜์˜€๋‹ค.ๅœจ็Žฐไปฃๆฑ‰่ฏญ้‡Œ่ƒฝๅคŸ่กจ็คบๅค„ๆ‰€็š„ๆž„ๅผ้žๅธธๅคšๆ ท๏ผŒๅ…ถไธญV+ๅœจ+XPไธŽๅœจ+XP+Vไธค็งๆž„ๅผ็š„ไฝฟ็”จ็Ž‡ๆœ€้ซ˜ใ€‚V+ๅœจ+XPไฝœไธบไธ€ไธชๅค„ๆ‰€ๆž„ๅผ๏ผŒๅฎƒๆœ€ๅˆ็š„ๅŠŸ่ƒฝๆ˜ฏ็”จๆฅ่กจ็คบๆ–ฝไบ‹ๅฐ†ๅ—ไบ‹ๆ”พ็ฝฎไบŽๆŸๅค„๏ผŒๆˆ–่€…ๆ˜ฏๆ–ฝไบ‹ๅœ็•™ไบŽๆŸๅค„๏ผŒไธค็งๆž„ๅผไน‰้ƒฝๅ…ทๆœ‰็งปๅŠจไธŽๅญ˜ๅœจไน‰ใ€‚ไฝ†ๆ˜ฏๅœจๅพˆๅคšๆƒ…ๅ†ตไธ‹๏ผŒๅฆ‚ๆ‰“ๅœจๅคดไธŠ๏ผŒๆญปๅœจไธคๅนดๅ‰๏ผŒ่ตขๅœจๆฐ”ๅŠฟไธŠ็ญ‰ๆž„ๅผ็ปๅธธ่ขซ็”จๅœจ็œ‹ไผผไธŽๅค„ๆ‰€ๆ— ๅ…ณ็š„ๅœบๅˆ๏ผŒๅŠจ่ฏไนŸไธๅ†ไธŽๆ”พ็ฝฎๆˆ–ๅญ˜ๅœจๆœ‰ๅ…ณใ€‚ไธไป…ๅฆ‚ๆญค๏ผŒๆˆดๆตฉไธ€ๆ›พ่ฏด่ฟ‡็Žฐไปฃๆฑ‰่ฏญไธญๅคง้ƒจๅˆ†็š„่ฏญ่จ€็Žฐ่ฑก้ƒฝ้ตๅฎˆๆ—ถ้—ด้กบๅบๅŽŸๅˆ™๏ผŒๅค„ๆ‰€ๆž„ๅผไบฆๆ˜ฏๅฆ‚ๆญคใ€‚ไฝ†็ป่ฟ‡ๅฏนๆž„ๅผ็š„็ ”็ฉถๅ‘็ŽฐXP้™คไบ†่ƒฝๅคŸ่กจ็คบๅค„ๆ‰€๏ผŒๅฎƒ่ฟ˜่ƒฝ่กจ็คบๅฏน่ฑก๏ผŒๆ—ถ้—ดๅ’ŒๅŽŸๅ› ใ€‚ๅฝ“XPไธ่กจ็คบๅค„ๆ‰€็š„ๆ—ถๅ€™๏ผŒๆž„ๅผๅพ€ๅพ€ไธ้ตๅฎˆๆ—ถ้—ด้กบๅบๅŽŸๅˆ™ใ€‚้’ˆๅฏนๆญค็ฑป็Žฐ่ฑก๏ผŒๆœฌๆ–‡ๅฐ†้€š่ฟ‡ๅฏนๆž„ๅผ็š„ๆฏไธช็ป„ๆˆๆˆๅˆ†็š„ๆทฑๅ…ฅ็ ”็ฉถ๏ผŒๅฐคๅ…ถๆ˜ฏๅฏนๅŠจ่ฏ่ฏญไน‰ใ€ๅฅๆณ•็‰นๅพ็š„ๅˆ†ๆžๆญ็คบๅŠจ่ฏไธŽๆž„ๅผ็š„็ป“ๅˆๆœบๅˆถ๏ผŒๅนถๆŽข่ฎจๅŠจ่ฏๅฏนๆž„ๅผไน‰ไบง็”Ÿ็š„ๅฝฑๅ“ๅ’Œๆฏไธชๆž„ๅผไน‹้—ด็š„ๅ…ณ็ณปใ€‚ๆญคๅค–๏ผŒ็ฌ”่€…่ฟ˜ๅฐ†ๅฏนๆ—ถ้—ด้กบๅบๅŽŸๅˆ™็š„ๅฎšไน‰ๅŠ ไปฅ่กฅๅ……ใ€‚้€š่ฟ‡ๅˆ†ๆž๏ผŒ็ฌ”่€…่Žทๅพ—ไปฅไธ‹็ป“่ฎบใ€‚ ้ฆ–ๅ…ˆ๏ผŒๆœฌๆ–‡ๆ”ถ้›†ไบ†็›ธๅ…ณๆž„ๅผ็š„ๆ‰€ๆœ‰ไพ‹ๅฅ๏ผŒ้€š่ฟ‡ๅฏนไพ‹ๅฅ็š„่ฏฆ็ป†ๅˆ†ๆžๅพ—็Ÿฅๆž„ๅผ่ƒฝๅคŸๆ นๆฎๆž„ๅผไน‰ๅˆ†ๆˆๅ››ไธชๅฐ็ฑป๏ผŒๅˆ†ๅˆซๆ˜ฏๅœบๆ‰€๏ผŒๅฏน่ฑก๏ผŒๆ—ถ้—ดๅ’ŒๅŽŸๅ› ใ€‚่€Œไธ”ๆœฌๆ–‡ๅฏน่ƒฝๅคŸ็ป„ๆˆๆž„ๅผ็š„ๆ‰€ๆœ‰ๅŠจ่ฏไธŽๅ…ถไฝฟ็”จ้ข‘็Ž‡่ฟ›่กŒไบ†ๅฝ’็บณใ€ๆ•ด็†๏ผŒๅ‘็Žฐไฝฟ็”จไบŽๆฏไธชๅฐ็ฑป้‡Œ้ข็š„ๅŠจ่ฏ้ƒฝๅ„่‡ชๅ…ทๆœ‰ๅ…ฑๅŒ็‰นๅพ๏ผŒ่ƒฝ็ป„ๆˆไธ€ไธช็ฑปใ€‚ ๅ…ถๆฌก๏ผŒ็ฌ”่€…้€š่ฟ‡ๅฏนๅŠจ่ฏ่ฏญไน‰็‰นๅพ็š„ๆทฑๅฑ‚ๅˆ†ๆž๏ผŒๅ‘็ŽฐๅŠจ่ฏ็š„็งปๅŠจไน‰ใ€่‡ชไธปไน‰ๅ’Œไฝ“่ฒŒๅœจ็ปๅคงๅคšๆ•ฐๆƒ…ๅ†ตไธ‹ๅ†ณๅฎšXP็š„็ฑปๅž‹ๅ’Œๆž„ๅผ็š„็ป“ๆž„ใ€‚ ็ฌฌไธ‰๏ผŒๅฝ“ๅŠจ่ฏๅ…ทๆœ‰็งปๅŠจไน‰ๆ—ถๆž„ๅผ่กจ็คบๆ–ฝไบ‹ๆˆ–ๅ—ไบ‹้€š่ฟ‡็งปๅŠจๅˆฐ่พพๆŸๅค„๏ผŒๅนถไธ”้ตๅพชๆ—ถ้—ด้กบๅบๅŽŸๅˆ™ใ€‚ๅฝ“ๅŠจ่ฏไธๅ…ทๆœ‰็งปๅŠจไน‰๏ผŒXP่กจ็คบๆ—ถ้—ดๆˆ–ๅŽŸๅ› ็š„ๆ—ถๅ€™๏ผŒๅŠจ่ฏไธ€่ˆฌ้ƒฝ่กจ็คบไธๅฏ้ข„ๆต‹็š„ไบ‹ไปถใ€‚ไธๅฏ้ข„ๆต‹็š„ไบ‹ไปถ้ƒฝๆ˜ฏๅ…ˆ่กŒไบŽไบบไปฌๅฏนไบ‹ไปถ็š„่ฎค็Ÿฅๅ‘็”Ÿ็š„๏ผŒๆ‰€ไปฅๅฝ“ๅค„ๆ‰€ๆˆๅˆ†ไธ่กจ็คบๅ…ทไฝ“ๅœบๆ‰€็š„ๆ—ถๅ€™๏ผŒๅŠจ่ฏๅ’Œๅค„ๆ‰€ๆˆๅˆ†ไน‹้—ดไป็„ถๅฏไปฅ็†่งฃไธบๅญ˜ๅœจๅ…ˆๅŽ้กบๅบ๏ผŒ่€Œ่ฟ™ไธช้กบๅบ่กจ็คบ็š„ๆ˜ฏ็ชๅ‘ไบ‹ไปถไธŽ่ฎค็Ÿฅ็š„ๅ…ˆๅŽๅ…ณ็ณปใ€‚ๆ‰€ไปฅๆœฌๆ–‡่ฎคไธบ๏ผŒไปฅไธŠๆƒ…ๅ†ตไธŽๆˆดๆตฉไธ€็š„ๆ—ถ้—ด้กบๅบๅŽŸๅˆ™็š„ไธปๆ—จๅคงๅŒๅฐๅผ‚๏ผŒไนŸๆ˜ฏๅฎƒ็š„ไธ€็ง่กจ็Žฐใ€‚ ็ฌฌๅ››๏ผŒๆœฌๆ–‡ๆ นๆฎๅ˜ๆขๆž„ๅผ็š„ๅฅๆณ•็ป“ๆž„๏ผŒๆขณ็†ๅ‡บๅŠจ่ฏ็š„็งปๅŠจไน‰ไธŽๅญ˜ๅœจไน‰ๅฏนๆž„ๅผ็š„ๅค„ๆ‰€ไน‰ๅ…ทๆœ‰ๅพˆๅคง็š„ๅฝฑๅ“ใ€‚ๅฝ“ๅŠจ่ฏๅ…ทๆœ‰็งปๅŠจไน‰ๆˆ–ๅญ˜ๅœจไน‰๏ผŒXP่กจ็คบๅ…ทไฝ“็š„ๅœบๆ‰€๏ผŒๅนถไธ”ๅœจไธ€ๅฎšๆกไปถไธ‹ไป‹่ฏๅœจๅฏไปฅ็œ็•ฅใ€‚ไฝ†ๆ˜ฏๅฆ‚ๆžœๅŠจ่ฏไธๅ…ทๆœ‰ๅ…ถไธค็ง่ฏญไน‰๏ผŒๆž„ๅผไน‰ๅˆ™ๅฐ†่ถ‹ไบŽๆŠฝ่ฑก๏ผŒ่€Œไธ”ๅœจไปปไฝ•ๆƒ…ๅ†ตไธ‹้ƒฝไธ่ƒฝ็œ็•ฅๅœจใ€‚่‡ณไบŽXP, ๅฎƒไธ€่ˆฌ้ƒฝๆ˜ฏๅ่ฏๆ€งๆˆๅˆ†๏ผŒไฝ†ๆ˜ฏๆž„ๅผไน‰่ถŠๆŠฝ่ฑกXP็š„็ป“ๆž„ๅฐฑ่ถŠๅคๆ‚๏ผŒไธ”ๅฝ“ๅค„ๆ‰€ๆˆๅˆ†ๅ‘ˆๅฐๅฅ็ป“ๆž„็š„ๆ—ถๅ€™ๆ–นไฝ่ฏไนŸๅฏ็œ็•ฅใ€‚ ๆœ€ๅŽ๏ผŒๆœฌๆ–‡ไฝฟ็”จๆž„ๅผ่ฏญๆณ•็†่ฎบ่ฏ ้‡ŠV+ๅœจ+XPๅœบๆ‰€๏ผŒV+ๅœจ+XPๅฏน่ฑก๏ผŒV+ๅœจ+XPๆ—ถ้—ดๅ’ŒV+ๅœจ+XPๅŽŸๅ› ไน‹้—ดๅญ˜ๅœจ็€ๆ‰ฉๅฑ•ๆ‰ฟ็ปง็š„ๅ…ณ็ณป๏ผŒๅนถๅพ—็Ÿฅๆž„ๅผๆ นๆฎๆ˜ฏๅฆๅ…ทๆœ‰็งปๅŠจไน‰ๅˆ†ๆˆไธคไธช่ทฏ็บฟ่ฟ›่กŒๆŠฝ่ฑกๅŒ–ใ€‚ๅ…ทๆœ‰็งปๅŠจไน‰็š„V+ๅœจ+XPๅœบๆ‰€้š็€็งปๅŠจไน‰็š„ๅผฑๅŒ–ๅ‘ๅฑ•ๆˆV+ๅœจ+XPๅฏน่ฑกใ€‚ไธๅ…ทๆœ‰็งปๅŠจไน‰็š„V+ๅœจ+XPๅœบๆ‰€ๅˆ™ๅœจๅ‘ๅฑ•่ฟ‡็จ‹ไธญ้€ๆธไธงๅคฑ่‡ชไธปไน‰๏ผŒๅนถ้€š่ฟ‡้šๅ–ปๆ˜ ๅฐ„ๅˆฐๆ—ถ้—ดใ€ๅŽŸๅ› ็ญ‰ๆ›ดๆŠฝ่ฑก็š„ๆฆ‚ๅฟตๅŸŸใ€‚์ œ1์žฅ ์„œ ๋ก  1 1.1. ๋ฌธ์ œ ์ œ๊ธฐ 1 1.2. ์„ ํ–‰์—ฐ๊ตฌ 4 1.3. ์—ฐ๊ตฌ๋ฐฉ๋ฒ• ๋ฐ ๋‚ด์šฉ 6 ์ œ2์žฅ V+ๅœจ+XP ๊ตฌ๋ฌธ์˜ ์˜๋ฏธ๊ธฐ๋Šฅ๊ณผ ๋ถ„์„ ๊ธฐ์ค€ 9 2.1. V+ๅœจ+XP ๊ตฌ๋ฌธ์˜ ๊ตฌ์„ฑ์š”์†Œ 9 2.1.1. ์ „์น˜์‚ฌ ๅœจ์˜ ํŠน์„ฑ 9 2.1.2. ๋น„์ฒ˜์†Œ๋™์‚ฌ V 10 2.1.3. XP์˜ ์œ ํ˜• 12 2.2. ๋ถ„์„์˜ ๊ธฐ์ค€ 14 2.2.1. ์ž์ฃผ์„ฑ 14 2.2.2. ์ƒ์  ํŠน์„ฑ 16 2.2.3. ๅœจ ์ƒ๋žต 19 2.2.4. XP์˜ ๊ตฌ์กฐ์  ํŠน์„ฑ 20 2.2.5. ๊ตฌ๋ฌธ ์ „ํ™˜ 21 ์ œ3์žฅ XP๊ฐ€ ์žฅ์†Œ๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฒฝ์šฐ 24 3.1. V+ๅœจ+XP์žฅ์†Œ์˜ ์˜๋ฏธ์  ํŠน์„ฑ 24 3.1.1. V์˜ ์œ ํ˜• 24 3.1.2. ์ž์ฃผ์„ฑ 29 3.1.3. ์ƒ์  ํŠน์„ฑ 32 3.2. V+ๅœจ+XP์žฅ์†Œ์˜ ๊ตฌ์กฐ์  ํŠน์„ฑ 36 3.2.1. ๅœจ ์ƒ๋žต 37 3.2.2. XP์˜ ๊ตฌ์กฐ์  ํŠน์„ฑ 39 3.2.3. ๊ตฌ๋ฌธ ์ „ํ™˜ 41 3.3. V์™€ XP์˜ ๊ด€๊ณ„ 45 ์ œ4์žฅ XP๊ฐ€ ๋Œ€์ƒ์„ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฒฝ์šฐ 47 4.1. V+ๅœจ+XP๋Œ€์ƒ์˜ ์˜๋ฏธ์  ํŠน์„ฑ 47 4.1.1. V์˜ ์œ ํ˜• 47 4.1.2. ์ž์ฃผ์„ฑ 51 4.1.3. ์ƒ์  ํŠน์„ฑ 51 4.2. V+ๅœจ+XP๋Œ€์ƒ์˜ ๊ตฌ์กฐ์  ํŠน์„ฑ 55 4.2.1. ๅœจ ์ƒ๋žต 55 4.2.2. XP์˜ ๊ตฌ์กฐ์  ํŠน์„ฑ 56 4.2.3. ๊ตฌ๋ฌธ ์ „ํ™˜ 59 4.3. V์™€ XP์˜ ๊ด€๊ณ„ 62 ์ œ5์žฅ XP๊ฐ€ ์‹œ๊ฐ„์„ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฒฝ์šฐ 64 5.1. V+ๅœจ+XP์‹œ๊ฐ„์˜ ์˜๋ฏธ์  ํŠน์„ฑ 64 5.1.1. V์˜ ์œ ํ˜• 64 5.1.2. ์ž์ฃผ์„ฑ 66 5.1.3. ์ƒ์  ํŠน์„ฑ 67 5.2. V+ๅœจ+XP์‹œ๊ฐ„์˜ ๊ตฌ์กฐ์  ํŠน์„ฑ 69 5.2.1. ๅœจ ์ƒ๋žต 69 5.2.2. XP์˜ ๊ตฌ์กฐ์  ํŠน์„ฑ 70 5.2.3. ๊ตฌ๋ฌธ ์ „ํ™˜ 71 5.3. V์™€ XP์˜ ๊ด€๊ณ„ 73 ์ œ6์žฅ XP๊ฐ€ ์›์ธ์„ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฒฝ์šฐ 75 6.1. V+ๅœจ+XP์›์ธ์˜ ์˜๋ฏธ์  ํŠน์„ฑ 75 6.1.1. V์˜ ์œ ํ˜• 75 6.1.2. ์ž์ฃผ์„ฑ 78 6.1.3. ์ƒ์  ํŠน์„ฑ 78 6.2. V+ๅœจ+XP์›์ธ์˜ ๊ตฌ์กฐ์  ํŠน์„ฑ 80 6.2.1. ๅœจ ์ƒ๋žต 80 6.2.2. XP์˜ ๊ตฌ์กฐ์  ํŠน์„ฑ 81 6.2.3. ๊ตฌ๋ฌธ ์ „ํ™˜ 84 6.3. V์™€ XP์˜ ๊ด€๊ณ„ 89 ์ œ7์žฅ V+ๅœจ+XP ๊ตฌ๋ฌธ์˜ ์˜๋ฏธ์™€ ํ™•์žฅ 92 7.1. ๊ตฌ๋ฌธ์˜ ์˜๋ฏธ 92 7.2. ๊ตฌ๋ฌธ์˜ ํ™•์žฅ 94 ์ œ8์žฅ ๊ฒฐ๋ก  105 ใ€ๅƒ่€ƒๆ–‡็ปใ€‘ 107 ใ€ไธญๆ–‡ๆ‘˜่ฆใ€‘ 113Maste

    ์ค‘ํ•™๊ต ๊ธฐ์ˆ ๊ต๊ณผ๋ฅผ ์œ„ํ•œ ์œตํ•ฉ์ธ์žฌ๊ต์œก(STEAM) ํ”„๋กœ๊ทธ๋žจ ๊ฐœ๋ฐœ๊ณผ ์ ์šฉ

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๋†์‚ฐ์—…๊ต์œก๊ณผ, 2016. 2. ์ •์ฒ ์˜.์ด ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์ค‘ํ•™๊ต ๊ธฐ์ˆ ๊ต๊ณผ๋ฅผ ์œ„ํ•œ ์œตํ•ฉ์ธ์žฌ๊ต์œก(STEAM) ํ”„๋กœ๊ทธ๋žจ์„ ๊ฐœ๋ฐœํ•˜๊ณ  ์ด๋ฅผ ์ ์šฉํ•ด๋ณด๋Š” ๋ฐ ์žˆ๋‹ค. ์ด์™€ ๊ฐ™์€ ์—ฐ๊ตฌ ๋ชฉ์ ์„ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๊ต์ˆ˜์ฒด์ œ๊ฐœ๋ฐœ(Instructional Systems Development)์˜ ๊ธฐ๋ณธ ๋ชจํ˜•์ด๋ผ๊ณ  ํ•  ์ˆ˜ ์žˆ๋Š” ADDIE (Analysis, Design, Development, Implementation, Evaluation) ๋ชจํ˜•์„ ๋ณธ ์—ฐ๊ตฌ์˜ ์ทจ์ง€์— ๋งž๊ฒŒ ์ผ๋ถ€ ์ˆ˜์ •ํ•˜์—ฌ ์ ์šฉํ•˜์˜€๋‹ค. ํ”„๋กœ๊ทธ๋žจ์„ ๊ฐœ๋ฐœํ•˜๊ธฐ ์œ„ํ•œ ์ ˆ์ฐจ๋กœ ๋ถ„์„(Analysis)๋‹จ๊ณ„์—์„œ๋Š” ๋ฌธํ—Œ์กฐ์‚ฌ๋ฅผ ํ†ตํ•ด ํ•™์Šต์ž, ๊ต์‚ฌ, ์‚ฌํšŒ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ์š”๊ตฌ(needs) ๋ถ„์„์„ ์‹œํ–‰ํ•˜์˜€๊ณ , STEAM ๊ต์œก๊ณผ์ • ๋ถ„์„, STEAM ๋‚ด์šฉ ์š”์†Œ ๋ถ„์„์„ ํ•˜์˜€๋‹ค. ์„ค๊ณ„(Design)๋‹จ๊ณ„์—์„œ๋Š” ํ™œ๋™์ฃผ์ œ ์„ ์ •, ๊ต์œก๋ชฉํ‘œ ์„ค์ •, ํ•™์Šต ๋‚ด์šฉ ์„ ์ • ๋ฐ ์กฐ์ง, ์ฐจ์‹œ๋ณ„ ์ˆ˜์—…๋ชฉํ‘œ ์ง„์ˆ ์ด ์ ์šฉ๋˜์—ˆ๋‹ค. ๊ฐœ๋ฐœ(Development)๋‹จ๊ณ„์—์„œ๋Š” ํ•™์Šต์ง€๋„์•ˆ ๋ฐ ํ•™์ƒ์šฉ ํ™œ๋™์ง€ ๊ฐœ๋ฐœ, ๊ฐœ๋ฐœ๋œ ํ”„๋กœ๊ทธ๋žจ์˜ ํƒ€๋‹น์„ฑ์„ ์œ„ํ•œ ์ „๋ฌธ๊ฐ€ ์ง‘๋‹จ์— ์˜ํ•œ ํ”„๋กœ๊ทธ๋žจ ๊ฒ€ํ† , ๊ฒ€ํ†  ๊ฒฐ๊ณผ๋ฅผ ๋ฐ˜์˜ํ•œ ํ”„๋กœ๊ทธ๋žจ ์ˆ˜์ • ๋ฐ ๊ฐœ์„  ๊ทธ๋ฆฌ๊ณ  ์ตœ์ข… ํ”„๋กœ๊ทธ๋žจ์„ ์™„์„ฑํ•˜์˜€๋‹ค. ์‹คํ–‰(Implementation)๋‹จ๊ณ„์—์„œ๋Š” ๊ฐœ๋ฐœ๋œ ์œตํ•ฉ์ธ์žฌ๊ต์œก(STEAM) ํ”„๋กœ๊ทธ๋žจ์„ ๊ธฐ์ˆ ๊ต๊ณผ ์‹œ๊ฐ„์— ์ ์šฉํ•˜์—ฌ ์ˆ˜์—… ํšจ๊ณผ๋ฅผ ๊ฒ€์ฆํ•ด ๋ณด์•˜๋‹ค. ์ˆ˜์—… ์ ์šฉ์— ์•ž์„œ ํ•™์Šต์ž๋“ค์˜ ์œตํ•ฉ์ธ์žฌ์†Œ์–‘(STEAM Literacy) ์ธก์ • ๋„๊ตฌ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์‚ฌ์ „ ๊ฒ€์‚ฌ๊ฐ€ ์ด๋ฃจ์–ด์กŒ์œผ๋ฉฐ ํ”„๋กœ๊ทธ๋žจ ์ข…๋ฃŒ ํ›„ ์‚ฌํ›„๊ฒ€์‚ฌ๋ฅผ ์‹œํ–‰ํ•˜์˜€๋‹ค. ํ‰๊ฐ€(Evaluation)๋‹จ๊ณ„์—์„œ๋Š” ์œตํ•ฉ์ธ์žฌ์†Œ์–‘(STEAM Literacy) ์ธก์ • ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ”„๋กœ๊ทธ๋žจ ํšจ๊ณผ ๊ฒ€์ฆ ๋ฐ ๊ฒฐ๊ณผ๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ฐœ๋ฐœ๋œ ํ”„๋กœ๊ทธ๋žจ์˜ ํƒ€๋‹น๋„ ๋ฐ ์ ์šฉ ํšจ๊ณผ๋ฅผ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด ํ˜„์žฌ ์ž์œ ํ•™๊ธฐ์ œ๊ฐ€ ์‹œํ–‰๋˜๊ณ  ์žˆ๋Š” ์ค‘ํ•™๊ต 1ํ•™๋…„ 52๋ช…์˜ ํ•™์ƒ์„ ๋Œ€์ƒ์œผ๋กœ ๊ธฐ์ˆ  ๊ต๊ณผ ์‹œ๊ฐ„์— ์‹คํ—˜ ์ฒ˜์น˜๊ฐ€ ์ด๋ฃจ์–ด์กŒ๋‹ค. ์ˆ˜์—… ๊ธฐ๊ฐ„์€ 2015๋…„ 8์›” ์ค‘์ˆœ๋ถ€ํ„ฐ 10์›” ๋ง ๊นŒ์ง€ 12์ฐจ์‹œ ๋™์•ˆ ์ง„ํ–‰ํ•˜์˜€์œผ๋ฉฐ ์ตœ์œ ํ˜„ ์™ธ(2013)๊ฐ€ ๊ฐœ๋ฐœํ•œ ์œตํ•ฉ์ธ์žฌ ์†Œ์–‘ ์ธก์ •๋„๊ตฌ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ˆ˜์—… ์ง„ํ–‰์— ์•ž์„œ ์‚ฌ์ „๊ฒ€์‚ฌ๋ฅผ ์‹œํ–‰ํ–ˆ๊ณ  ํ”„๋กœ๊ทธ๋žจ ์ข…๋ฃŒ ํ›„ ์‚ฌํ›„๊ฒ€์‚ฌ๋ฅผ ์‹œํ–‰ํ•˜์˜€๋‹ค. ์ธก์ • ๋ฌธํ•ญ์€ ์œตํ•ฉ(Convergence), ์ฐฝ์˜(Creativity), ๋ฐฐ๋ ค(Caring), ์†Œํ†ต(Communication)์˜ 4๊ฐœ ์˜์—ญ์œผ๋กœ ์ด 21๊ฐœ ๋ฌธํ•ญ์œผ๋กœ ๊ตฌ์„ฑ๋˜์–ด์žˆ๋‹ค. ๊ฒฐ๊ณผ ๋ถ„์„์—์„œ๋Š” ์‚ฌ์ „๊ฒ€์‚ฌ์™€ ์‚ฌํ›„๊ฒ€์‚ฌ์˜ ๋ณ€ํ™”๋ฅผ ๋ณด๊ธฐ ์œ„ํ•œ ๋Œ€์‘ํ‘œ๋ณธ t-test ๋ถ„์„์„ ํ•˜์˜€์œผ๋ฉฐ ์œ ์˜์ˆ˜์ค€์€ 5%์™€ 0.1%๋กœ ํ•˜์˜€๊ณ , ํ†ต๊ณ„์ฒ˜๋ฆฌ๋Š” SPSS 20.0 ํ†ต๊ณ„ ํ”„๋กœ๊ทธ๋žจ์„ ์ด์šฉํ•˜์˜€๋‹ค. ๊ธฐ์ˆ  ๊ต๊ณผ์—์„œ ์œตํ•ฉ์ธ์žฌ๊ต์œก(STEAM) ํ”„๋กœ๊ทธ๋žจ ์ ์šฉ ๊ฒฐ๊ณผ ์ค‘ํ•™์ƒ์˜ ์œตํ•ฉ์ธ์žฌ์†Œ์–‘ ํ–ฅ์ƒ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์ด ์—ฐ๊ตฌ์—์„œ ๊ฐœ๋ฐœํ•œ ์œตํ•ฉ์ธ์žฌ๊ต์œก(STEAM) ํ”„๋กœ๊ทธ๋žจ์ด ์˜๋ฏธ๊ฐ€ ์žˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์œตํ•ฉ์ธ์žฌ๊ต์œก์„ ๋ฐ›์€ ํ›„ ํ•™์Šต์ž๋“ค์˜ ์œตํ•ฉ์ธ์žฌ์†Œ์–‘์ด ํ†ต๊ณ„์  ์œ ์˜์ˆ˜์ค€ 0.001์—์„œ ์œ ์˜๋ฏธํ•œ ์ฐจ์ด๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค(p = .000 <.001). ์œตํ•ฉ์ธ์žฌ์†Œ์–‘ ํ•˜์œ„ ์š”์†Œ๋ณ„๋กœ ์‚ดํŽด๋ณด๋ฉด ์œตํ•ฉ์€ ํ†ต๊ณ„์  ์œ ์˜์ˆ˜์ค€ 0.05์—์„œ ์œ ์˜๋ฏธํ•œ ์ฐจ์ด๊ฐ€ ์—†๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค(p = .056 <.05). ์ฐฝ์˜๋Š” ํ†ต๊ณ„์  ์œ ์˜์ˆ˜์ค€ 0.001์—์„œ ์œ ์˜๋ฏธํ•œ ์ฐจ์ด๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๊ณ (p = .000 <.001), ์†Œํ†ต๋„ ํ†ต๊ณ„์  ์œ ์˜์ˆ˜์ค€ 0.001์—์„œ ์œ ์˜๋ฏธํ•œ ์ฐจ์ด๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค(p = .000 <.001). ๋ฐฐ๋ ค๋„ ํ†ต๊ณ„์  ์œ ์˜์ˆ˜์ค€ 0.01์—์„œ ์œ ์˜๋ฏธํ•œ ์ฐจ์ด๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค(p = .009 <.01). ์ฆ‰, ์œตํ•ฉ์„ ์ œ์™ธํ•œ ๋‚˜๋จธ์ง€ ์˜์—ญ์—์„œ๋Š” ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•œ ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚œ ๊ฒƒ์œผ๋กœ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ด์™€ ๊ฐ™์€ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋ฅผ ํ† ๋Œ€๋กœ โ‘  ์—ฐ๊ตฌ์ž๊ฐ€ ๊ฐœ๋ฐœํ•œ STEAM ์œตํ•ฉ์ธ์žฌ๊ต์œก ํ”„๋กœ๊ทธ๋žจ์„ ๋‹ค๋ฅธ STEAM ๊ต๊ณผ์—์„œ๋„ ์ ์šฉํ•˜์—ฌ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋ฅผ ๋น„๊ตํ•ด ๋ณผ ํ•„์š”๊ฐ€ ์žˆ์Œ, โ‘ก STEAM ์œตํ•ฉ์ธ์žฌ๊ต์œก ํ”„๋กœ๊ทธ๋žจ์„ ์ ์šฉํ•˜๊ณ  ์œตํ•ฉ์ธ์žฌ์†Œ์–‘ ์™ธ์— ๋‹ค๋ฅธ ๋ณ€์ธ์„ ๊ด€์ฐฐํ•˜๊ณ  ์ธก์ •ํ•  ํ•„์š”๊ฐ€ ์žˆ์Œ, โ‘ข STEAM ์œตํ•ฉ์ธ์žฌ๊ต์œก์„ ์ ์šฉํ•จ์— ์žˆ์–ด ๊ต๊ณผ ์‹œ๊ฐ„ ์™ธ์— ๋‹ค์–‘ํ•œ ์‹œ๊ฐ„์„ ํ™•๋ณดํ•˜์—ฌ ์šด์˜ํ•  ํ•„์š”๊ฐ€ ์žˆ์Œ, โ‘ฃ STEAM ๋ถ„์•ผ๋ฅผ ํ‰๊ฐ€์™€ ์—ฐ๊ฒฐ ์ง€์„ ์ˆ˜ ์žˆ๋Š” ๊ตฌ์ฒด์ ์ธ ๋ฐฉ์•ˆ์„ ๋งŒ๋“ค์–ด ๊ต์œกํ˜„์žฅ์— ์ œ์‹œํ•  ํ•„์š”๊ฐ€ ์žˆ์Œ, โ‘ค STEAM ๊ต์œก์ด ํ™œ๋ฐœํ•˜๊ฒŒ ์ด๋ฃจ์–ด ์งˆ ์ˆ˜ ์žˆ๋„๋ก ์ฐธ์‹ ํ•˜๊ณ  ํฅ๋ฏธ๋กœ์šด ์ฃผ์ œ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ค‘ํ•™์ƒ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ดˆ๋“ฑํ•™์ƒ ๋ฐ ๊ณ ๋“ฑํ•™์ƒ์—๊ฒŒ ์ ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๋‹ค์–‘ํ•œ ํ”„๋กœ๊ทธ๋žจ ๊ฐœ๋ฐœ์ด ํ•„์š”ํ•จ์„ ํ›„์†์—ฐ๊ตฌ๋กœ ์ œ์•ˆํ•˜์˜€๋‹ค.I. ์„œ๋ก  1 1. ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ 1 2. ์—ฐ๊ตฌ์˜ ๋ชฉ์  4 3. ์—ฐ๊ตฌ ๋ฌธ์ œ 4 4. ์šฉ์–ด์˜ ์ •์˜ 4 II. ์ด๋ก ์  ๋ฐฐ๊ฒฝ 7 1. ์œตํ•ฉ์ธ์žฌ๊ต์œก(STEAM) 7 2. ์œตํ•ฉ์ธ์žฌ์†Œ์–‘(STEAM Literacy) 17 3. ๊ต์œกํ”„๋กœ๊ทธ๋žจ ๊ฐœ๋ฐœ ๋ชจํ˜• 23 III. ์—ฐ๊ตฌ์˜ ์ ˆ์ฐจ ๋ฐ ๋ฐฉ๋ฒ• 29 1. ์—ฐ๊ตฌ ์ ˆ์ฐจ 29 2. ์ˆ˜์—… ์ ์šฉ 31 3. ์ž๋ฃŒ ๋ถ„์„ 33 IV. ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ 35 1. ์œตํ•ฉ์ธ์žฌ๊ต์œก(STEAM) ํ”„๋กœ๊ทธ๋žจ ๊ฐœ๋ฐœ ๊ฒฐ๊ณผ 35 2. ์œตํ•ฉ์ธ์žฌ๊ต์œก(STEAM) ํ”„๋กœ๊ทธ๋žจ ์ ์šฉ ๊ฒฐ๊ณผ 72 V. ์š”์•ฝ, ๊ฒฐ๋ก  ๋ฐ ์ œ์–ธ 75 1. ์š”์•ฝ 75 2. ๊ฒฐ๋ก  77 3. ์ œ์–ธ 78 ์ฐธ ๊ณ  ๋ฌธ ํ—Œ 81 ๋ถ€๋ก 87 [๋ถ€๋ก 1] ํ•™์ƒ์šฉ ์„ค๋ฌธ์ง€ 89 [๋ถ€๋ก 2] ํ•™์Šต ์ง€๋„์•ˆ 92 [๋ถ€๋ก 3] ํ•™์ƒ์šฉ ํ™œ๋™์ง€ 97 Abstract 117Maste

    Spatial statistical analysis of apartment price inequality in Seoul

    Get PDF
    ์•„ํŒŒํŠธ๊ฐ€๊ฒฉ ๋ถˆ๊ท ๋“ฑ์— ๋Œ€ํ•œ ๊ธฐ์กด ์—ฐ๊ตฌ๋“ค์€ ๊ณต๊ฐ„์„ ๊ณ ๋ คํ•˜์ง€ ์•Š์œผ๋ฉฐ ํ–‰์ •๊ตฌ์—ญ๊ฐ„์˜ ํ‰๊ท  3.3mยฒ๋‹น ๊ฐ€๊ฒฉ์„ ๋‹จ์ˆœ ๋น„๊ตํ•˜๊ฑฐ๋‚˜ ์ง€๋‹ˆ๊ณ„์ˆ˜์™€ ๊ฐ™์€ ๋ถˆ๊ท ๋“ฑ ์ธก์ •์ง€์ˆ˜ ๊ฐ’์œผ๋กœ ์š”์•ฝํ•˜๋Š” ๊ธฐ์ˆ ์  ๋ถ„์„์— ๊ทธ์น˜๊ณ  ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ด๋Ÿฌํ•œ ์•„ํŒŒํŠธ๊ฐ€๊ฒฉ ๋ถˆ๊ท ๋“ฑ์— ๋Œ€ํ•œ ๊ธฐ์กด ์ ‘๊ทผ๋ฐฉ์‹์˜ ํ•œ๊ณ„๋ฅผ ๊ทน๋ณตํ•˜๊ธฐ ์œ„ํ•ด ๊ณต๊ฐ„์„ ๊ณ ๋ คํ•˜๋Š” ์ ‘๊ทผ ๋ฐฉ์‹์„ ๋„์ž…ํ•˜์—ฌ ์•„ํŒŒํŠธ๊ฐ€๊ฒฉ ๋ถˆ๊ท ๋“ฑ์˜ ๊ณต๊ฐ„์ ์ธ ์ธก๋ฉด์„ ๋ถ„์„ํ•˜๋Š” ๊ฒƒ์„ ๋ชฉ์ ์œผ๋กœ ํ•˜์˜€๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ 1999๋…„ 5์›”๋ถ€ํ„ฐ 2007๋…„ 5์›”๊นŒ์ง€์˜ ์„œ์šธ์‹œ ์•„ํŒŒํŠธ๊ฐ€๊ฒฉ ๋ถˆ๊ท ๋“ฑ์˜ ์ถ”์ด๋ฅผ ์‚ดํŽด๋ณด๊ณ  ์ด์— ๋Œ€ํ•œ ์ง€์—ญ์ด ๊ธฐ์—ฌํ•˜๋Š” ๋ฐ”์™€ ์•„ํŒŒํŠธ๊ฐ€๊ฒฉ ๋ถˆ๊ท ๋“ฑ์˜ ๊ณต๊ฐ„๋ถ„ํฌ ๋ณ€ํ™” ์–‘์ƒ์„ ํŒŒ์•…ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ์š”์•ฝํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ์„œ์šธ์‹œ ์•„ํŒŒํŠธ ๊ฐ€๊ฒฉ๋ถˆ๊ท ๋“ฑ์€ ์ „๋ฐ˜์ ์œผ๋กœ ํ™•๋Œ€๋˜๊ณ  ์žˆ๊ณ , ๋ถˆ๊ท ๋“ฑ ์ถ”์ด๋Š” 4๊ธฐ๊ฐ„์œผ๋กœ ๊ตฌ๋ถ„ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋‘˜์งธ, ์ „๋ฐ˜์ ์œผ๋กœ ์•„ํŒŒํŠธ๊ฐ€๊ฒฉ ๋ถˆ๊ท ๋“ฑ์— ์žˆ์–ด ์ž์น˜๊ตฌ๊ฐ€ ๊ธฐ์—ฌํ•˜๋Š” ๋ฐ”๊ฐ€ ์ž์น˜๊ตฌ๋‚ด ํ–‰์ •๋™๊ฐ„์— ๋น„ํ•ด ๋งค์šฐ ํฌ๋‹ค. ์ƒ๋Œ€์ ์œผ๋กœ ์ž์น˜๊ตฌ๋‚ด ํ–‰์ •๋™๋“ค์˜ ์•„ํŒŒํŠธ๊ฐ€๊ฒฉ์€ ์œ ์‚ฌํ•ด์ง€๊ณ  ์ž์น˜๊ตฌ๊ฐ„ ์•„ํŒŒํŠธ๊ฐ€๊ฒฉ ์ฐจ์ด๊ฐ€ ์ปค์ง€๋ฉด์„œ ๋ถˆ๊ท ๋“ฑ์ด ํ™•๋Œ€๋œ ๊ฒƒ์ด๋‹ค. ์…‹์งธ, 2004๋…„ 11์›”๊นŒ์ง€ ์•„ํŒŒํŠธ๊ฐ€๊ฒฉ ๋ถˆ๊ท ๋“ฑ์ด ์ƒ์Šนํ•˜๋Š” ๋™์•ˆ ์•„ํŒŒํŠธ๊ฐ€๊ฒฉ์˜ ๊ณต๊ฐ„์  ์œ ์‚ฌ์„ฑ์€ ๊ฐ•ํ™”๋˜์—ˆ๋‹ค. ๋„ท์งธ, ๋ถˆ๊ท ๋“ฑ ๋ณ€ํ™”๋Š” High-High๊ด€๊ณ„, Low-High๊ด€๊ณ„, ๊ตญ์ง€์  ๋ณ€๋™์„ ๋ณด์ด๋Š” ํ–‰์ •๋™์— ์˜ํ•ด ๋ฐœ์ƒํ•˜์˜€๋‹ค. High-High๊ด€๊ณ„์˜ ํ–‰์ •๋™๋“ค์€ ๊ฐ•๋‚จ๊ตฌ, ์†กํŒŒ๊ตฌ, ์„œ์ดˆ๊ตฌ์— ์†ํ•˜์—ฌ ๊ตฐ์ง‘์„ ์ด๋ฃจ๊ณ  ์žˆ๊ณ , Low-High๊ด€๊ณ„์˜ ํ–‰์ •๋™๋“ค์€ ์ด ๊ตฐ์ง‘ ์ฃผ๋ณ€์— ๋ถ„์‚ฐ๋˜์–ด ์œ„์น˜ํ•˜๊ณ  ์žˆ๋‹ค. Some reserachers have been studied about apartment price inequality, but they show some problems. Those studies are confined to mere technical analysis comparing the average price per 3.3ใŽก among administrative districts or summarizing some inequality-measuring values such as Gini index. This study is motivated by the cognition of limitations about current ways to approach this issue. To overcome these, this research aims to analyze spatial aspects of apartment price inequality which is not understood in existing studies using spatial approaches. In the concrete, the transition of the apartment price inequality from May, 1999 to May, 2007 is examined. Also, this study grasps how the region contributes to apartment price inequality and how the spatial distribution changes. The results of study are as follows. First, the apartment price inequality in Seoul has increased generally and the period is divided into four periods by the tendency of apartment price inequality from May 1999 to May 2007. Second, the district in Seoul contributes apartment price inequality much more than administrative dongs within the district. As the difference of apartment price among administrative dongs in the same district got smaller and the difference of price among different districts got bigger, the apartment price inequality in Seoul increased. Third, while inequality increased from May 1999 to November 2004, the spatial similarity of apartment price was enhanced. Forth, the change of apartment price inequality in Seoul in generated by administrative dongs showing the High-High relation. Administrative dongs of High-High relation belong to Gangnam, Seocho, and Songpa district. Administrative dongs of Low-High relation locate around the High-High concentration
    corecore