57 research outputs found

    [ํŠน์ง‘] '๊ตญ๊ฐ€์ธ์ ์ž์›๊ฐœ๋ฐœ๊ธฐ๋ณธ๊ณ„ํš'์˜ ์˜์˜์™€ ์ฃผ์š”๋‚ด์šฉ

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    โ… . ๊ณ„ํš์ˆ˜๋ฆฝ์˜ ์˜์˜์™€ ์ถ”์ง„๊ฒฝ๊ณผ โ…ก. ๊ตญ๊ฐ€ ์ธ์ ์ž์›์ •์ฑ…์˜ ์˜์˜์™€ ๊ธฐ๋ณธ๊ณ„ํš์˜ ๊ตฌ์„ฑ 1. ๊ตญ๊ฐ€ ์ธ์ ์ž์›์ •์ฑ…์˜ ์˜์˜ 2. ๊ธฐ๋ณธ๊ณ„ํš์˜ ๊ตฌ์„ฑ โ…ข. ๊ณ„ํš์˜ ์ฃผ์š”๋‚ด์šฉ 1. ๊ณ„ํš์ˆ˜๋ฆฝ์˜ ๋ฐฐ๊ฒฝ : 21์„ธ๊ธฐ์™€ ํ•œ๊ตญ์˜ ๋ฏธ๋ž˜ 2. ๊ฒฝ์ œยท์‚ฌํšŒํ™˜๊ฒฝ์˜ ๋ณ€ํ™”์™€ ์ „๋ง 3. ๊ตญ๊ฐ€ ์ธ์ ์ž์›๊ฐœ๋ฐœ์ฒด์ œ์˜ ํ˜„ํ™ฉ๊ณผ ๋ฌธ์ œ์  4. ๊ตญ๊ฐ€ ์ธ์ ์ž์› ์ •์ฑ…๋ชฉํ‘œ์™€ ์ถ”์ง„์ „๋žต 5. ์ •์ฑ… ์ถ”์ง„์ฒด๊ณ„ โ…ฃ. ๋งบ์Œ

    The Determinants of Time Spent for Preparing for Class and Student-Faculty lnteraction of University Students

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    ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ๋Œ€ํ•™์ƒ์˜ ํ•™์Šตํˆฌ์ž์‹œ๊ฐ„ ๋ฐ ๊ต์ˆ˜์™€์˜ ๊ด€๊ณ„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฐœ์ธ ๋ฐ ๋Œ€ํ•™ ๋ณ€์ธ์„ ํƒ์ƒ‰ํ•˜๋Š”๋ฐ ์žˆ๋‹ค. ๊ฐœ์ธ ๋ณ€์ธ์œผ๋กœ๋Š” ์„ฑ๋ณ„, ํ•™๋…„, ์†Œ๋“์ˆ˜์ค€, ๊ณ ๊ต๋‚ด์‹ , ์ถœ์‹ ๊ณ ๊ต ์œ ํ˜•, ๋Œ€ํ•™์— ๋Œ€ํ•œ ์†Œ์†๊ฐ ์ˆ˜์ค€์„ ์ ์šฉํ•˜์˜€๊ณ , ๋Œ€ํ•™ ๋ณ€์ธ์€ ํ•™์ƒ๋‹น ๊ต์œก๋น„, ๊ต์ˆ˜๋‹น ๋…ผ๋ฌธ์ˆ˜, ์†Œ์žฌ์ง€, ๋Œ€ํ•™ ํ‰๊ท  ์†Œ์†๊ฐ ์ˆ˜์ค€์„ ํ™œ์šฉํ•˜์˜€๋‹ค. ์ „๊ตญ 32๊ฐœ ๋Œ€ํ•™์— ์žฌํ•™ ์ค‘์ธ 7,182๋ช…์˜ ์ž๋ฃŒ๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋ถ„์„์—๋Š” ๋‹ค์ธต๋ชจํ˜• ๋ถ„์„์ด ์ ์šฉ๋˜์—ˆ๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด, ์—ฌํ•™์ƒ๋ณด ๋‹ค ๋‚จํ•™์ƒ์ด, 1ํ•™๋…„๋ณด๋‹ค 4ํ•™๋…„์ด, ๊ฐ€์ •์˜ ์†Œ๋“์ˆ˜์ค€์ด ๋†’์„์ˆ˜๋ก, ๊ณ ๊ต ๋‚ด์‹ ๋“ฑ๊ธ‰์ด ๋†’์„์ˆ˜๋ก, ๋Œ€ํ•™์— ๋Œ€ํ•œ ์†Œ์†๊ฐ ์ด ํด์ˆ˜๋ก, ๊ทธ๋ฆฌ๊ณ  ๊ต์ˆ˜๊ด€๊ณ„๊ฐ€ ์–‘ํ˜ธํ• ์ˆ˜๋ก ํ•™์Šตํˆฌ์ž์‹œ๊ฐ„์ด ๋Š˜์–ด๋‚ฌ๋‹ค. ํŠน์„ฑํ™”๊ณ  ์ถœ์‹ ์˜ ํ•™์Šต์‹œ๊ฐ„์ด ์ƒ๋Œ€์ ์œผ๋กœ ์ ์—ˆ๊ณ , ํŠน๋ชฉ๊ณ  ์ถœ์‹  ์—ฌ๋ถ€๋Š” ๋Œ€ํ•™์ƒ์˜ ํ•™์Šต๋Ÿ‰์— ์˜ํ–ฅ์„ ๋ฏธ์น˜์ง€ ์•Š์•˜๋‹ค. ํ•™์ƒ๋‹น ๊ต์œก๋น„์™€ ๋Œ€ํ•™์˜ ํ‰๊ท ์ ์ธ ์†Œ์†๊ฐ ์ˆ˜์ค€์ด ๋Œ€ํ•™์ƒ์˜ ํ•™์Šตํˆฌ์ž์‹œ๊ฐ„๊ณผ ์ •์ ์ธ ๊ด€๊ณ„๋ฅผ ๋ณด์˜€์ง€๋งŒ, ๊ต์ˆ˜๋‹น ๋…ผ๋ฌธ์ˆ˜์™€ ๋Œ€ํ•™ ์†Œ์žฌ์ง€๋Š” ๋Œ€ํ•™์ƒ์˜ ํ•™์Šต๋Ÿ‰์— ์˜ํ–ฅ์„ ๋ฏธ์น˜์ง€ ์•Š์•˜๋‹ค. ๊ต์ˆ˜์™€์˜ ๊ด€๊ณ„๋Š” ๋‚จํ•™์ƒ์ด ์—ฌํ•™์ƒ๋ณด๋‹ค, 4ํ•™๋…„์ด 1ํ•™๋…„๋ณด๋‹ค, ์†Œ๋“์ˆ˜์ค€๊ณผ ๊ณ ๊ต๋‚ด์‹ ์ด ๋†’์„ ์ˆ˜๋ก, ํ•™๊ต์— ๋Œ€ํ•œ ์†Œ์†๊ฐ์ด ํด์ˆ˜๋ก ์–‘ํ˜ธํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ ํŠน๋ชฉ๊ณ  ์ถœ์‹  ํ•™์ƒ์ด ๋‹ค๋ฅธ ์œ ํ˜•์˜ ๊ณ ๊ต๋ฅผ ์กธ์—… ํ•œ ์ง‘๋‹จ๋ณด๋‹ค ๊ต์ˆ˜์™€ ์ข‹์€ ๊ด€๊ณ„๋ฅผ ์œ ์ง€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋Œ€ํ•™์˜ ํ•™์ƒ๋‹น ๊ต์œก๋น„๋Š” ๊ต์ˆ˜์™€์˜ ๊ด€๊ณ„์— ๋น„๋ก ์ œํ•œ ์ ์ด์ง€๋งŒ ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์ณค์ง€๋งŒ, ๊ต์ˆ˜๋‹น ๋…ผ๋ฌธ์ˆ˜๊ฐ€ ๋งŽ์„์ˆ˜๋ก ํ•™์ƒ์ด ์ธ์‹ํ•˜๋Š” ๊ต์ˆ˜์™€์˜ ๊ด€๊ณ„๋Š” ๋ถ€์ •์ ์ด์—ˆ๋‹ค. This study examined the effects of student background characteristics and institutional features on time spent preparing for class and student-faculty interaction of university students. Independent variables include gender, grade, family income level, high school GPA, type of high school, and the sense of belonging to university at the student level and spending per student, the number of research paper per faculty, university location, and the average sense of belonging to university among students at the institution level. Samples include 7,182 students from 32 universities. Multilevel modeling was employed to investigate the relationships between dependent and independent variables at each level. At the student level, all independent variables except for type of high school were found to be positively associated with time spent preparing for class. At the institution level, spending per student and the average sense of belonging to university among students were positively related with time spent preparing for class. Regarding student-faculty interaction, all predictors except for whether to graduate from vocational high schools were found to be positively related with student-faculty interaction of university students. The number of research paper per faculty and the average sense of belonging to university among students were negatively associated with student-faculty interaction of university students.์ด ๋…ผ๋ฌธ์€ 2011๋…„๋„ ๊ต์œก๊ณผํ•™๊ธฐ์ˆ ๋ถ€์˜ ์žฌ์›์œผ๋กœ ํ•œ๊ตญ๊ต์–‘๊ธฐ์ดˆ๊ต์œก์›์˜ ์ง€์›์„ ๋ฐ›์•„ ์ˆ˜ํ–‰๋œ ์—ฐ๊ตฌ์ž„(NRF-2011)

    The Relationship Between Cultural Capital at the Individual, Family, and School Levels in Middle Schools and Career Maturity in High Schools

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    ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์ค‘ํ•™๊ต 2ํ•™๋…„ ์‹œ์ ์—์„œ ํ•™์ƒ์˜ ๊ฐœ์ธ, ๊ฐ€์ •, ํ•™๊ต ๋ฌธํ™”์ž๋ณธ์ด ๊ทธ๋“ค์ด ์„ฑ์žฅํ•˜์—ฌ ๊ณ ๋“ฑํ•™๊ต 2ํ•™๋…„์ด๋œ ์‹œ์ ์—์„œ์˜ ์ง„๋กœ์„ฑ์ˆ™๋„์™€ ๊ทธ ํ•˜์œ„์š”์ธ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์„ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์•„์šธ๋Ÿฌ ํ•™์ƒ์˜ ๊ฐœ์ธ ๋ฌธํ™”์ž๋ณธ์ด ์ง„๋กœ์„ฑ ์ˆ™๋„ ๋ฐ ํ•˜์œ„์š”์ธ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ํ•™์ƒ์ด ์†ํ•œ ๊ฐ€์ • ๋ฐ ํ•™๊ต ๋ฌธํ™”์ž๋ณธ์˜ ์ˆ˜์ค€์— ๋”ฐ๋ผ ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š”์ง€๋„ ์‚ดํŽด๋ณด์•˜ ๋‹ค. ๋…๋ฆฝ๋ณ€์ธ์€ ํ•™์ƒ ๊ฐœ์ธ, ๊ฐ€์ •, ํ•™๊ต ๋ฌธํ™”์ž๋ณธ์œผ๋กœ ์„ค์ •ํ•˜์˜€๊ณ  ์ข…์†๋ณ€์ธ์€ ์ง„๋กœ์„ฑ์ˆ™๋„์™€ ํ•˜์œ„ ์š”์ธ์ธ ๊ณ„ํš์„ฑ, ์ผ์— ๋Œ€ํ•œ ํƒœ๋„, ์ž์‹ ์— ๋Œ€ํ•œ ์ง€์‹, ์ง„๋กœํ–‰๋™์œผ๋กœ ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•์œผ๋กœ ์œ„๊ณ„์  ์ค‘๋‹คํšŒ๊ท€๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๊ณ  ์ƒํ˜ธ์ž‘์šฉ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ์š”์•ฝํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๊ฐœ์ธ ๋ฌธํ™”์ž๋ณธ์—์„œ ํ•™์ƒ์˜ ๋…์„œ ํƒœ๋„, ๊ฐ€์ • ๋ฌธํ™”์ž๋ณธ์—์„œ ๋ถ€๋ชจ์™€ ๋ฌธํ™”์†Œํ†ต ์ •๋„๊ฐ€ ์ง„๋กœ์„ฑ์ˆ™๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋‘˜์งธ, ๊ฐœ์ธ ๋ฌธํ™”์ž๋ณธ์—์„œ ๋…์„œ ํƒœ๋„๊ฐ€ ์ผ์— ๋Œ€ํ•œ ํƒœ๋„ ๋ฐ ์ž์‹ ์— ๋Œ€ํ•œ ์ง€์‹์— ์˜ํ–ฅ์„ ๋ฏธ์ณค๊ณ  ๋ฌธํ™”์˜ˆ์ˆ  ๋™์•„๋ฆฌ์˜ ์ฐธ์—ฌ๊ฐ€ ๊ณ„ํš์„ฑ ๋ฐ ์ง„๋กœํ–‰๋™์— ๊ธ์ •์  ์˜ํ–ฅ์„ ์ฃผ์—ˆ๋‹ค. ๊ฐ€์ • ๋ฌธํ™”์ž๋ณธ์—์„œ ๋ถ€๋ชจ์™€์˜ ๋ฌธํ™”์†Œํ†ต ์ •๋„๊ฐ€ ๊ณ„ํš์„ฑ, ์ž์‹ ์— ๋Œ€ํ•œ ์ง€์‹, ์ง„๋กœํ–‰๋™์— ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ•™๊ต ๋ฌธํ™”์ž๋ณธ์—์„œ๋Š” ํ•™๊ต ์ฐจ์›์˜ ๋™์•„๋ฆฌ ํ™œ์„ฑํ™” ์ •๋„๊ฐ€ ์ž์‹ ์— ๋Œ€ํ•œ ์ง€์‹์— ๊ธ์ •์  ์˜ํ–ฅ์„ ์ฃผ์—ˆ๋‹ค. ์…‹์งธ, ๊ฐœ์ธ ๋ฌธํ™”์ž๋ณธ์ด ์ง„๋กœ์„ฑ์ˆ™๋„์™€ ๊ทธ ํ•˜์œ„์š”์ธ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์€ ์ „๋ฐ˜์ ์œผ๋กœ ๊ฐ€์ • ๋ฐ ํ•™๊ต ๋ฌธํ™”์ž๋ณธ์˜ ์ˆ˜์ค€์— ๋”ฐ๋ผ ์ฐจ์ด๊ฐ€ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Š” ์ค‘ํ•™๊ต 2ํ•™๋…„ ์‹œ์ ์˜ ๊ฐ€์ •๊ณผ ํ•™๊ต์—์„œ ์ด๋ฃจ์–ด์ง€๋Š” ๋ฌธํ™”์ž๋ณธ์˜ ํ˜•์„ฑ์ด ๊ณ ๋“ฑํ•™๊ต 2ํ•™๋…„ ์‹œ๊ธฐ ์ง„๋กœ์„ฑ์ˆ™๋„์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•œ๋‹ค

    Experiences During the Leave of Absence and Their Impact on Growth and Development of College Students

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    ๋ณธ ์—ฐ๊ตฌ๋Š” ํœดํ•™์ด๋ผ๋Š” ์ƒˆ๋กœ์šด ํ™˜๊ฒฝ์—์„œ ๋Œ€ํ•™์ƒ๋“ค์ด ๊ฒฝํ—˜ํ•œ ๋‹ค์–‘ํ•œ ํ™œ๋™์„ ์‚ดํŽด๋ณด๊ณ , ํ•™์ƒ๋ฐœ๋‹ฌ ๊ด€์ ์—์„œ ๊ทธ๋Ÿฌํ•œ ๊ฒฝํ—˜์ด ํ•™์ƒ๋“ค์˜ ์„ฑ์žฅ๊ณผ ๋ฐœ๋‹ฌ์— ์–ด๋– ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€๋ฅผ ํƒ์ƒ‰ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์„œ์šธ ์†Œ์žฌ 4๋…„์ œ A๋Œ€ํ•™์— ์žฌํ•™ ์ค‘์ธ ํœดํ•™ ๊ฒฝํ—˜์ด ์žˆ๋Š” ํ•™์ƒ 11๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ๋ฉด๋‹ด์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๋ฉด๋‹ด ๋‚ด์šฉ์„ ๋ชจ๋‘ ์ „์‚ฌํ•œ ํ›„, ์ฃผ์ œ ๋ถ„์„ ๋ฐฉ๋ฒ•์„ ์ ์šฉํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ, ๋Œ€ํ•™์ƒ๋“ค์€ ํœดํ•™ ์ค‘ ์ง€์ , ์‚ฌํšŒ์ , ์ž๊ธฐ ์„ฑ์ฐฐ์  ๊ฒฝํ—˜์„ ํ•œ๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ ์ง€์  ๊ฒฝํ—˜์€ ์ž๊ธฐ์ฃผ๋„ ํ•™์Šต๊ณผ ๋ชฐ์ž…, ํ˜„์žฅ ์ฒดํ—˜๊ณผ ์ง„๋กœ ์„ฑ์ˆ™, ๊ฐœ๋ณ„ํ™” ํ•™์Šต ๊ฒฝํ—˜๊ณผ ๊ธ์ •์  ํ•™์—…์ •์„œ ๋“ฑ์ด์—ˆ๋‹ค. ์ง€์  ๊ฒฝํ—˜์€ ํ•™์ƒ๋“ค์˜ ์ง„๋กœ ๊ฐ€์น˜๊ด€์„ ํ™•๋ฆฝํ•˜๊ณ  ์ง„๋กœ์„ฑ์ˆ™๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์‚ฌํšŒ์  ๊ฒฝํ—˜์€ ๋‹ค์–‘์„ฑ ์ดํ•ด์™€ ๊ฐœ๋ฐฉ์  ํƒœ๋„๋ฅผ ๊ธธ๋ €๋˜ ์ธ์  ๊ต๋ฅ˜, ์‚ถ์— ๋Œ€ํ•œ ๊ฐ€์น˜๊ด€๊ณผ ์ง„๋กœ๋ฅผ ๋ฐ”๊ฟ”์ค€ ๋ฌธํ™”์ ‘๋ณ€ ๊ฒฝํ—˜, ํ˜„์žฅ ์ „๋ฌธ๊ฐ€ ๊ต๋ฅ˜์™€ ์ง„๋กœ ํƒ์ƒ‰, ํฐ ์กฐ์ง ๋ฆฌ๋” ๊ฒฝํ—˜๊ณผ ์ž๊ธฐํšจ๋Šฅ๊ฐ์ด๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฝํ—˜์„ ํ†ตํ•ด ํ•™์ƒ๋“ค์€ ์‚ฌ๊ณ ๋ฅผ ํ™•์žฅํ•˜๊ณ  ํƒ€์ธ์— ๋Œ€ํ•œ ์ดํ•ด๊ฐ€ ๋†’์•„์ง€๋Š” ๋“ฑ ๊ฐ€์น˜๊ด€์ด ์žฌ์ •๋ฆฝ ๋œ ๊ฒƒ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ž๊ธฐ ์„ฑ์ฐฐ์  ๊ฒฝํ—˜์€ ๋ฌด๊ธฐ๋ ฅ์„ ๋–จ์น˜๊ณ  ๋„์ „ํ•ด ๋ณธ ๊ฒฝํ—˜๊ณผ ์ž‘์€ ์„ฑ์ทจ, ๋„์ „์  ํ•ด์™ธ ๊ฒฝํ—˜๊ณผ ์„ฑ์ˆ™ํ•œ ์ž์•„๊ฐœ๋…, ๋‚˜๋ฅผ ๋˜๋Œ์•„๋ณธ ์‹œ๊ฐ„๊ณผ ๋‚ด๋ฉด์  ์„ฑ์ˆ™ ๋“ฑ์ด ์žˆ๋‹ค. ์ž๊ธฐ ์„ฑ์ฐฐ์  ๊ฒฝํ—˜์€ ํ•™์ƒ๋“ค ์ž์‹ ์— ๋Œ€ํ•œ ์„ฑ์ฐฐ๊ณผ ์ดํ•ดํ•˜๋Š” ๊ณผ์ •์„ ํ†ตํ•ด ๋‚ด์  ์„ฑ์ˆ™์„ ์ด‰์ง„ํ•˜๊ณ  ์žˆ์—ˆ๋‹ค. ๋ณธ๋ก ์—์„œ๋Š” ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๊ฐ€ ์ฃผ๋Š” ์ด๋ก ์  ํ•จ์˜์™€ ์ •์ฑ…์  ์‹œ์‚ฌ์ ์„ ์ œ์‹œํ•˜์˜€๋‹ค

    Validation of the National Survey of Student Engagement(NSSE) Model in the Korean Context

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    ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ๋ฏธ๊ตญ ๋Œ€ํ•™์—์„œ ํ•™์Šต๊ฒฝํ—˜์˜ ์งˆ๊ณผ ์„ฑ๊ณผ๋ฅผ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•ด ๋„๋ฆฌ ํ™œ์šฉ๋˜๋Š” National Survey of Student Engagement(NSSE) ๋„๊ตฌ๋ฅผ ์ˆ˜์ • ๋ฐ ๋ณด์™„ํ•˜์—ฌ, ํ•œ๊ตญ ๋Œ€ํ•™์ƒ์˜ ํ•™์Šต์ฐธ์—ฌ ์‹คํƒœ๋ฅผ ์ง„๋‹จํ•˜๋Š” ๋„๊ตฌ๋ฅผ ์ œ์‹œํ•˜๊ณ  ํƒ€๋‹น์„ฑ์„ ๊ฒ€์ฆํ•˜๋Š”๋ฐ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ํ™œ์šฉํ•œ ๋ฏธ๊ตญ NSSE ์ง„๋‹จ๋„๊ตฌ(2013๋…„ ๊ฐœ์ •ํŒ)๋Š” ํ•™์—… ๋„์ „(๊ณ ์ฐจ์› ํ•™์Šต, ๋ฐ˜์„ฑ์ ยทํ†ตํ•ฉ์  ํ•™์Šต, ํ•™์Šต ์ „๋žต, ์–‘์  ์ถ”๋ก ), ๊ต์šฐ์™€ ํ•™์Šต(ํ˜‘๋ ฅ์  ํ•™์Šต, ๋‹ค์–‘ํ•œ ์‚ฌ๋žŒ๊ณผ ํ† ์˜), ๊ต์ˆ˜์™€์˜ ๊ฒฝํ—˜(๊ต์ˆ˜-ํ•™์ƒ ์ƒํ˜ธ์ž‘์šฉ, ํšจ๊ณผ์  ๊ต์ˆ˜ํ™œ๋™), ๋Œ€ํ•™ ํ™˜๊ฒฝ(๊ตฌ์„ฑ์›๊ณผ ์ƒํ˜ธ ์ž‘์šฉ์˜ ์งˆ, ์ง€์›์  ๋Œ€ํ•™ ํ™˜๊ฒฝ) ๋“ฑ 4๊ฐœ ์˜์—ญ 10๊ฐœ ์š”์ธ์œผ๋กœ ๊ตฌ์„ฑ๋˜์—ˆ๋‹ค. ๋จผ์ € NSSE ์ง„๋‹จ๋„๊ตฌ๊ฐ€ ํ•œ๊ตญ ๋Œ€ํ•™์˜ ๋งฅ๋ฝ์—์„œ ์–ด๋– ํ•œ ์š”์ธ ๊ตฌ์กฐ๋กœ ๋‚˜ํƒ€๋‚˜๋Š”์ง€๋ฅผ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ํƒ์ƒ‰์  ์š”์ธ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ๊ณ ์ฐจ์› ํ•™์Šต, ๋ฐ˜์„ฑ์ ยทํ†ตํ•ฉ์  ํ•™์Šต, ํ•™์Šต ์ „๋žต, ๋Šฅ๋™์ ยทํ˜‘๋™์  ํ•™์Šต, ๋‹ค์–‘ํ•œ ์ง‘๋‹จ๊ณผ ํ† ๋ก , ๊ต์ˆ˜-ํ•™์ƒ ์ƒํ˜ธ์ž‘์šฉ, ํšจ๊ณผ์ ์ธ ๊ต์ˆ˜ํ™œ๋™, ๊ต์šฐ์™€์˜ ๊ด€๊ณ„, ๊ต์ง์›๊ณผ์˜ ๊ด€๊ณ„, ์ง€์›์  ๋Œ€ํ•™ ํ™˜๊ฒฝ ๋“ฑ ์ด 10๊ฐœ ์š”์ธ์ด ์ถ”์ถœ๋˜์—ˆ๊ณ , ๊ฐ ์š”์ธ์€ ๋ชจ๋‘ .780~.902์— ์ด๋ฅด๋Š” ๋†’์€ ์‹ ๋ขฐ๋„๋ฅผ ๋ณด์—ฌ ์š”์ธ๋“ค์˜ ๋‚ด์  ํ•ฉ์น˜๋„๊ฐ€ ๋†’์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. 10๊ฐœ ์š”์ธ์œผ๋กœ ๊ตฌ์„ฑ๋œ ํ•œ๊ตญํ˜• ๋Œ€ํ•™์ƒ ํ•™์Šต์ฐธ์—ฌ ์ง„๋‹จ๋„๊ตฌ๊ฐ€ ํ•œ๊ตญ ๋Œ€ํ•™์ƒ์„ ๋Œ€์ƒ์œผ๋กœ ์ˆ˜์ง‘๋œ ์ž๋ฃŒ๋ฅผ ์ ํ•ฉํ•˜๊ฒŒ ์„ค๋ช…ํ•˜๋Š”์ง€๋ฅผ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ํ™•์ธ์  ์š”์ธ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ๋ชจ๋ธ์˜ ์ ํ•ฉ๋„ ์ง€์ˆ˜๊ฐ€ ๊ธฐ์ค€์น˜๋ฅผ ๋„˜์–ด ๋ณธ ์—ฐ๊ตฌ๊ฐ€ ์ œ์‹œํ•œ ์ง„๋‹จ๋„๊ตฌ๋Š” ํ•œ๊ตญ ๋Œ€ํ•™์ƒ์˜ ํ•™์Šต์ฐธ์—ฌ์˜ ์งˆ๊ณผ ์„ฑ๊ณผ๋ฅผ ์ธก์ •ํ•˜๋Š”๋ฐ ์ ์ ˆํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•˜์—ฌ ์ œ์‹œํ•œ ์ง„๋‹จ๋„๊ตฌ์˜ ํ™œ์šฉ ๋ฐฉ์•ˆ ๋ฐ ํ›„์† ์—ฐ๊ตฌ์˜ ๋ฐฉํ–ฅ์„ ์ œ์‹œํ•˜์˜€๋‹ค.This study aimed to suggest and validate the student engagement measurement model on the basis of National Survey of Student Engagement (NSSE) that has been widely employed in US universities. Exploratory factor analysis was used to discover the underlying structure of the NSSE model in the Korea's university context. Confirmatory factor analysis was then conducted to verify the validity of the K-NSSEใ€€measurement model. As results, ten factors to explain student engagement were identified, including Higher-Order Learning(ACH), Reflective & Integrative Learning(ACR), Learning Strategies(ACL), Active and Collaborative Learning(LPC), Discussions with Diverse Others(LPD), Student-Faculty Interaction(SFI), Effective Teaching Practices(EFE), Quality of Interactions with peers(CEQ1), Quality of Interactions with the faculty and the university staff(CEQ2), Supportive Environment(CES). The goodness of fit indices produced by confirmatory factor analysis suggested the fit of the model to the collected data. In conclusion, the ten-factor K-NSSEใ€€model is identified and the study provides the evidence for the construct validity of the model to measure student engagement in the context of Korean universities

    The Prospect and Barriers of Introduction of Institutional Research to Koreas Universities

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    ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ๋ฏธ๊ตญ ๋Œ€ํ•™์„ ์ค‘์‹ฌ์œผ๋กœ ๋ฐœ์ „ํ•ด ์˜จ ๋Œ€ํ•™๊ธฐ๊ด€์—ฐ๊ตฌ๋ฅผ ๊ตญ๋‚ด ๋Œ€ํ•™๋“ค์ด ๋„์ž…ํ•˜๋Š” ๊ณผ์ •์—์„œ ์˜ˆ์ƒ๋˜๋Š” ์Ÿ์ ์„ ํƒ์ƒ‰ํ•˜๊ณ , ์ด์™€ ๊ด€๋ จ๋œ ์ •์ฑ…์  ์‹œ์‚ฌ์ ์„ ๋„์ถœํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ๊ตญ๋‚ด์™ธ ๊ด€๋ จ ๋ฌธํ—Œ, ์ด๋ก  ๋ฐ ์„ ํ–‰์—ฐ๊ตฌ๋ฅผ ๋ถ„์„ํ•˜์˜€๊ณ , ๊ตญ๋‚ด ๋Œ€ํ•™์—์„œ ๋Œ€ํ•™๊ธฐ๊ด€์—ฐ๊ตฌ ๊ด€๋ จ ์—…๋ฌด๋ฅผ ์ˆ˜ํ–‰ํ•˜๋Š” ๊ต์ง์›์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ์„ค๋ฌธ ์กฐ์‚ฌ ๋ฐ ์ „๋ฌธ๊ฐ€ ํšŒ์˜ ๊ฒฐ๊ณผ๋ฅผ ์ข…ํ•ฉ์ ์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ, ๋Œ€ํ•™๊ธฐ๊ด€์—ฐ๊ตฌ ๋„์ž…๊ณผ ๊ด€๋ จํ•œ ์Ÿ์ ์œผ๋กœ 1)๋Œ€ํ•™ ์‹ค๋ฌด์ž์™€ ๊ด€๋ จ ์ „๋ฌธ๊ฐ€ ๊ฐ„์˜ ๋Œ€ํ•™๊ธฐ๊ด€์—ฐ๊ตฌ์— ๋Œ€ํ•œ ์ดํ•ด์™€ ์ธ์‹์˜ ๊ดด๋ฆฌ, 2)ํ•œ๊ตญ ๋Œ€ํ•™์˜ ๊ถŒ์œ„์  ๋ฌธํ™”์™€ ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜ ์˜์‚ฌ๊ฒฐ์ • ์‹œ์Šคํ…œ ๊ฐ„์˜ ์ถฉ๋Œ ๊ฐ€๋Šฅ์„ฑ, 3)๋Œ€ํ•™๊ธฐ๊ด€์—ฐ๊ตฌ์˜ ์ˆ˜ํ–‰ ์ฃผ์ฒด์™€ ๋‹ด๋‹น ๋ถ€์„œ, 4)๋Œ€ํ•™ ์ฐจ์›์˜ ํ†ตํ•ฉ ์ž๋ฃŒ๊ด€๋ฆฌ ์ฒด์ œ ๊ตฌ์ถ•๊ณผ ๋ถ€์„œ๊ฐ„ ์ž๋ฃŒ ๊ณต์œ  ๋ฌธ์ œ, 5)๋Œ€ํ•™๊ธฐ๊ด€์—ฐ๊ตฌ ๋‹ด๋‹น ์กฐ์ง์˜ ์—ญํ• ๊ณผ ๊ณ ๊ฐ์˜ ๋ฒ”์œ„๊ฐ€ ์Ÿ์ ์œผ๋กœ ๋„์ถœ๋˜์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ด์ƒ์˜ ์Ÿ์ ๋ณ„๋กœ ํ–ฅํ›„ ๋Œ€ํ•™๊ธฐ๊ด€์—ฐ๊ตฌ๋ฅผ ๋„์ž…ํ•˜๋ ค๋Š” ๋Œ€ํ•™์˜ ๊ฒฝ์˜์ง„์ด๋‚˜ ์ „๋ฌธ๊ฐ€๋“ค์ด ๊ณ ๋ คํ•˜์—ฌ์•ผ ํ•  ์‹œ์‚ฌ์ ์„ ์ œ์‹œํ•˜์˜€๋‹ค. The purpose of this study is to examine what issues may be raised when Korean higher education institutions newly employ institutional research(IR) that has been developed by the US institutions. The study also aimed to provide practical implications to those who want to introduce IR systems to their institutions. An extensive review of the related literature in addition to the survey and focus group interviews were conducted. The issues in relation to the application of IR to Korean universities include 1) disagreement of understanding on the goals and scopes of IR between IR professionals and practitioners in the institution, 2) conflicts between data-driven decision making systems of IR and authoritative decision-making culture of Korean universities, 3) organizational configuration to implement IR in the institution, 4) difficulties in building the university-wide data governance system and promoting data communication among units and staffs, and finally 5) the roles and customers of IR that Korean higher education practitioners consider
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