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    KRIVET ์ง์—…์ „๋ง์ง€ํ‘œ: ๊ณ ๋ น์ž ์นœํ™” ์ง์—…์„ ์ค‘์‹ฌ์œผ๋กœ

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    โ—‹ ์ง์—…์ „๋ง ์ง€ํ‘œ๋Š” ๊ธ‰๋ณ€ํ•˜๋Š” ์‚ฐ์—… ๋ฐ ์ง์—…์„ธ๊ณ„์˜ ๋ณ€ํ™” ์–‘์ƒ๊ณผ ์ „๋ง์„ ์˜ˆ์ธกํ•˜๊ณ  ๋Œ€์‘ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ฃผ๊ธฐ์ ์ด๊ณ  ์žฅ๊ธฐ์ ์ธ ์ง€ํ‘œ ์ƒ์„ฑยท์ œ๊ณตยท์ถ•์ ์˜ ๋ชฉ์ ์ด ์žˆ์Œ. โ—‹ ํ•œ๊ตญ์ง์—…๋Šฅ๋ ฅ๊ฐœ๋ฐœ์›์—์„œ๋Š” ์ข…ํ•ฉ ์ง์—…์ „๋ง ์ง€ํ‘œ์˜ ์‹ ๋ขฐ์„ฑ์„ ๋†’์ด๊ธฐ ์œ„ํ•˜์—ฌ 2006๋…„์˜ ์ง์—…์ „๋ง ์ง€ํ‘œ์— ๊ด€ํ•œ ๊ธฐ์ดˆ์—ฐ๊ตฌ, 2007๋…„ ์ œ์กฐยท๊ฑด์„ค์—…๊ณผ 2008๋…„ ๋‚˜๋จธ์ง€ ์—…์ข…์˜ ์ง์—…์ „๋ง ์ง€ํ‘œ ์กฐ์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์˜€๊ณ , 2009๋…„ ๋‹ค์‹œ ์ œ์กฐยท๊ฑด์„ค์—…์„ ์กฐ์‚ฌํ•˜๊ณ , 2007๋…„๊ณผ 2009๋…„์˜ ์กฐ์‚ฌ ๋ฐฉ๋ฒ•, ์ง€ํ‘œ ์‚ฐ์ •๋ฐฉ์‹์„ ๊ฒ€ํ† ํ•˜์˜€์œผ๋ฉฐ, ๊ธฐ์กด ํ†ต๊ณ„์ž๋ฃŒ์™€๋„ ๋น„๊ตยท๋ถ„์„ํ•˜์˜€์Œ. โ—‹ 2007๋…„๊ณผ 2009๋…„์˜ ์ œ์กฐยท๊ฑด์„ค์—…์˜ ์ง์—…์ „๋ง ์ง€ํ‘œ์—์„œ ๊ณ ๋ น์ž ์นœํ™”์ง์—…์„ ์ถ”์ถœํ•œ ์ฃผ์š” ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์Œ. - ๊ณ ๋ น์ž์นœํ™”์„ฑ-์ผ์ž๋ฆฌ ์ฐฝ์ถœ ๊ธฐ์ค€์—์„œ ํ˜„์žฌ์™€ ๋ฏธ๋ž˜ ๋ชจ๋‘ ์ „๋ง์ด ๋ฐ์€ ์ง์—…์€ IT์ปจ์„คํ„ดํŠธ๋กœ ๋‚˜ํƒ€๋‚จ. - ๊ณ ๋ น์ž์นœํ™”์„ฑ-์ž„๊ธˆ์ˆ˜์ค€ ๊ธฐ์ค€์—์„œ ํ˜„์žฌ์™€ ๋ฏธ๋ž˜ ๋ชจ๋‘ ์ „๋ง์ด ๋ฐ์€ ์ง์—…์€ ๋ฐœ์ „์žฅ์น˜ ์กฐ์ž‘์›, IT์ปจ์„คํ„ดํŠธ ๋“ฑ์œผ๋กœ ๋งŽ์ง€ ์•Š์•˜์Œ. - ๊ทธ๋Ÿฌ๋‚˜ ๋ฏธ๋ž˜ ์ „๋ง์ด ๋ฐ์€ ์ง์—…์„ ๋ณด๋ฉด, ๊ณ ๋ น์ž์นœํ™”์„ฑ-์ผ์ž๋ฆฌ ์ฐฝ์ถœ ๊ธฐ์ค€์œผ๋กœ ๋„์‹œ๊ณ„ํš๊ฐ€, ์‹ํ’ˆ๊ณตํ•™๊ธฐ์ˆ ์ž, ์‹ํ’ˆ๊ฐ€๊ณต๊ฒ€์‚ฌ์›, ๊ท€๊ธˆ์† ๋ฐ ๋ณด์„์„ธ๊ณต์› ๋“ฑ์ด, ๊ณ ๋ น์ž์นœํ™”์„ฑ-์ž„๊ธˆ์ˆ˜์ค€ ๊ธฐ์ค€์œผ๋กœ ๋„์‹œ๊ณ„ํš๊ฐ€, ์ „ํ†ต๊ฑด์ถ•์›, ๊ธˆํ˜•์›, ํ™”ํ•™๊ณตํ•™๊ธฐ์ˆ ์ž, ํ™”ํ•™๋ฌผ ๋ฐ ํ™”ํ•™์ œํ’ˆ ๊ด€๋ จ ๊ฒ€์‚ฌ์›, ๊ท€๊ธˆ์† ๋ฐ ๋ณด์„์„ธ๊ณต์› ๋“ฑ์œผ๋กœ ๋” ๋งŽ์€ ์ง์—…์ด ์‚ฐ์ถœ๋˜์—ˆ์Œ. โ… . ์ง์—…์ „๋ง ์ง€ํ‘œ ์กฐ์‚ฌ ๊ฐœ์š” 1. ํ•„์š”์„ฑ๊ณผ ๋ชฉ์  2. ์กฐ์‚ฌ๋‚ด์šฉ ๋ฐ ๋ฐฉ๋ฒ• โ…ก. ๊ณ ๋ น์ž ์นœํ™” ์ง์—… 1. ํ˜„์žฌ ์‹œ์ ์˜ ๊ณ ๋ น์ž ์นœํ™” ์ง์—… 2. 10๋…„ ํ›„ ์‹œ์ ์˜ ๊ณ ๋ น์ž ์นœํ™” ์ง์—… 3. ๊ณ ๋ น์ž ์นœํ™”์„ฑ ์˜์—ญ๊ณผ ์ข…ํ•ฉ ์ง€ํ‘œ์˜ ๊ต์ฐจ ๋น„๊ต 4. ๊ณ ๋ น์ž ์นœํ™” ์ง์—… ๋ฐœ

    ์ง์—…๊ณผ ์ผ์— ๋Œ€ํ•œ ์ธ์‹ ๋ณ€ํ™”

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    ์•ˆ์ •์  ์ง์—…๊ณผ ์ผ์˜ ์ค‘์š”์„ฑ ์ธ์‹์ด ํฌ๊ฒŒ ์ฆ๊ฐ€ํ•จ. โ€˜๊ฐ€๋Šฅํ•˜๋‹ค๋ฉด ํ•œ ์ง์žฅ์—์„œ ํ‰์ƒ ๋™์•ˆ ์ผํ•˜๊ณ  ์‹ถ๋‹คโ€™๋Š” ์ธ์‹์€ 2006๋…„ 51.6%์—์„œ 2014๋…„ 61.1%๋กœ 9.5%p ์ฆ๊ฐ€ํ•˜์˜€์œผ๋ฉฐ, ํŠนํžˆ ๋‚จ์ž(53.4% โ†’ 64.6%), ๊ณ ์กธ ์ดํ•˜(51.3% โ†’ 62.5%), 30๋Œ€(46.4% โ†’ 57.7%)์—์„œ ํฌ๊ฒŒ ์ฆ๊ฐ€ํ•จ. โ€˜๋ˆ์„ ๋ฒŒ ํ•„์š”๊ฐ€ ์—†์–ด๋„ ์ง์—…์„ ๊ฐ€์ ธ์•ผ ํ•œ๋‹คโ€™๋Š” ์ธ์‹์€ 20๋Œ€ ์ดํ•˜๊ฐ€ 2006๋…„ 60.1% โ†’ 2014๋…„ 64.1% ์ฆ๊ฐ€ํ•˜์˜€์œผ๋ฉฐ, โ€˜๊ฒฝ์ œ์  ์—ฌ์œ ๊ฐ€ ์žˆ๋‹ค๋ฉด ์ง์—…์„ ๊ฐ–์ง€ ์•Š๊ณ  ์ทจ๋ฏธ์ƒํ™œ ๋“ฑ์„ ํ•˜๋ฉด์„œ ์ง€๋‚ด๊ณ  ์‹ถ๋‹คโ€™๋Š” ์ธ์‹์€ 20๋Œ€ ์ดํ•˜(66.5% โ†’ 55.2%)์—์„œ ๊ฐ€์žฅ ํฌ๊ฒŒ ๊ฐ์†Œํ•จ. โ€˜์ž์œ ์‹œ๊ฐ„์ด ์ค„์–ด๋“ค๋”๋ผ๋„ ์ผํ•˜๋Š” ๊ฒƒ์ด ์šฐ์„ โ€™์ด๋ผ๋Š” ์ธ์‹์€ ๋‚จ์ž(55.7% โ†’ 58.4%), ๋Œ€์กธ ์ด์ƒ(49.2% โ†’ 53.8%), 20๋Œ€ ์ดํ•˜(39.3% โ†’ 58.6%) ๋ฐ 30๋Œ€(46.4% โ†’ 47.9%)์—์„œ 2006๋…„๋ณด๋‹ค 2014๋…„์— ์ฆ๊ฐ€ํ•จ. โ€˜์ง์—…์—์„œ ์„ฑ๊ณตํ•˜๊ธฐ ์œ„ํ•ด ๋Šฅ๋ ฅ๋ณด๋‹ค ํ•™์—ฐ์ด๋‚˜ ์ง€์—ฐ์ด ์žˆ์–ด์•ผ ํ•œ๋‹คโ€™๋Š” ์ธ์‹์€ 2006๋…„ 52.5%์—์„œ 2014๋…„ 47.8%๋กœ 4.7%p ๊ฐ์†Œํ•จ.Awareness of the importance of stable jobs and work has increased significantly. The percentage of those who think: "If possible, I want to stay in one workplace for my entire life" has increased from 51.6% in 2006 to 61.1% in 2014 by 9.5pp, and the increase is particularly great among males (53.4% to 64.6%), people with a high school diploma or lower (51.3% to 62.5%), and people in their 30s (46.4% to 57.7%). The percentage of those who think: "I must have a job even if I don't need to earn money" has increased among people in their 20s or younger from 60.1% in 2006 to 64.1% in 2014. In addition, the percentage of those who think: "If I can financially afford to pursue my hobbies, etc. without having a job, I will do so" has decreased the most among people in their 20s or younger, from 66.5% to 55.2%. The percentage of those who think: "I will work even if that reduces my free time" has increased in the period between 2006 and 2014, among males (55.7% to 58.4%), people who have a college or higher education (49.2% to 53.8%), people in their 20s or younger (39.3% to 58.6%), and people in their 30s (46.4% to 47.9%). The percentage of those who think: "Your school tie and regional tie are more important than your abilities for you to succeed at work" has decreased by 4.7pp, from 52.5% in 2006 to 47.8% in 2014

    ๋Œ€ํ•™์ƒ์˜ ์ทจ์—…์— ๋Œ€ํ•œ ์ธ์‹๊ณผ ์ทจ์—…๋ฅ  ์ œ๊ณ ๋ฅผ ์œ„ํ•œ ์ง„๋กœยท์ทจ์—… ํ”„๋กœ๊ทธ๋žจ ์š”๊ตฌ์‚ฌํ•ญ

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    ๋Œ€ํ•™์ƒ๋“ค์ด ํ˜„์žฌ ์ „๊ณต์„ ์„ ํƒํ•œ ์ด์œ ๋กœ๋Š” ํ•™๋ฌธ์  ํฅ๋ฏธ์™€ ์ ์„ฑ(58.8%)์ด ๊ฐ€์žฅ ๋†’์•˜๊ณ , ์ทจ์—…์˜ ์šฉ์ด์„ฑ(33.4%)๋„ ์ ์ง€ ์•Š์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜ ๋Œ€ํ•™์ƒ์˜ ์ทจ์—…์— ๋Œ€ํ•œ ์ธ์‹์€ ๊ณ ๋“ฑํ•™๊ต์—์„œ๋ถ€ํ„ฐ ์‹œ์ž‘๋˜๊ณ  ์žˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ์Œ. ์กธ์—… ํ›„ ์ง„๋กœ์— ๋Œ€ํ•œ ์ƒ๊ฐ์„ ์‚ดํŽด๋ณด๋ฉด, ์‘๋‹ต์ž์˜ 53.5%๋Š” ๊ตญ๋‚ด ์ทจ์—…์„ ์ƒ๊ฐํ•˜๊ณ  ์žˆ์œผ๋ฉฐ ์•„์ง ์ง„๋กœ๋ฅผ ์ •ํ•˜์ง€ ๋ชปํ•œ ๋น„์œจ๋„ 22.5%๋‚˜ ๋จ. ํ˜„์žฌ ์ทจ์—… ์ค€๋น„๋ฅผ ํ•˜๋Š” ๋ฐ ์žˆ์–ด ๋Œ€ํ•™์ƒ๋“ค์ด ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ๊ฐ€์žฅ ํฐ ๊ณ ๋ฏผ์€ ํ•˜๊ณ ์ž ํ•˜๋Š” ์ง์—…์—์„œ ์š”๊ตฌํ•˜๋Š” ์ž๊ฒฉ(์ŠคํŽ™) ์ค€๋น„๊ฐ€ ๋ถ€์กฑ(27.6%)ํ•˜๋‹ค๋Š” ๊ฒƒ์ž„. ๋Œ€ํ•™์ƒ๋“ค์€ ์ทจ์—…๋ฅ  ์ œ๊ณ ๋ฅผ ์œ„ํ•œ ํšจ๊ณผ์ ์ธ ์ง€์› ๋ฐฉ์•ˆ์œผ๋กœ ์‚ฐํ•™ํ˜‘๋ ฅ ํ”„๋กœ๊ทธ๋žจ ๊ฐœ์„ค(39.6%)์„ ๊ฐ€์žฅ ๋งŽ์ด ๊ผฝ์•˜๊ณ , ๊ทธ ๋‹ค์Œ์œผ๋กœ ์ „๊ณต ๊ด€๋ จ ์ง„๋กœ ํ”„๋กœ๊ทธ๋žจ(37.2%), ์ทจ์—…์ง€์›์„ผํ„ฐ(๊ฒฝ๋ ฅ๊ฐœ๋ฐœ์„ผํ„ฐ ๋“ฑ) ์„œ๋น„์Šค ํ™•๋Œ€(29.3%) ๋“ฑ์„ ์š”๊ตฌํ•จ.A survey of college students finds that the biggest reason for choosing their current major was academic interest and aptitude (58.8%) followed by job prospects(33.4%), which suggests that many of them began thinking about employment when they were in high school. When asked about their career plans after graduation, 53.5% of the respondents said they would seek employment in Korea, and as many as 22.5% said they didnโ€™t have any concrete plans. In their preparations for entering the job market, the largest concern was that they didnโ€™t have sufficient qualifications required in their area of interest (27.6%). As for effective employment support, the respondents demanded measures such as business-academia collaboration (39.6%), major-specific career programs (37.2%) and greater service by employment support centers including career development centers (29.3%)

    Development of KRIVET Occupation Prospect Index(2008)

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    ์ง์—…์˜ ํ˜„ํ™ฉ๊ณผ ๋ฏธ๋ž˜ ์ „๋ง์— ๊ด€ํ•œ ์‹ฌ์ธต์ ์ด๊ณ  ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ์ง์—…์ „๋ง์ •๋ณด๋Š” ๊ตญ๋ฏผ๋“ค์ด ๊ธ‰๋ณ€ํ•˜๋Š” ์ง์—…์„ธ๊ณ„์˜ ๋ณ€ํ™” ๋™ํ–ฅ์„ ์ดํ•ดํ•˜๊ณ  ๋ฏธ๋ž˜ ์ง„๋กœ๋ฅผ ์ฃผ๋„์ ์œผ๋กœ ์„ค๊ณ„ํ•˜๋Š” ๋ฐ ๊ธฐ์ดˆ๊ฐ€ ๋˜๋Š” ์ค‘์š”ํ•œ ์ •๋ณด์ด๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” 2007๋…„ ์ œ์กฐ์—…์ข…์— ์†ํ•˜๋Š” 152๊ฐœ ์ง์—…์— ์ด์–ด, 2008๋…„ ๋‚˜๋จธ์ง€ ์—…์ข…์— ์†ํ•˜๋Š” 165๊ฐœ ์ง์—…์„ ๋Œ€์ƒ์œผ๋กœ ์ง์—…์ „๋ง์„ ์กฐ์‚ฌํ•˜๊ณ , ์ „์ฒด ์—…์ข… ์ด 317๊ฐœ ์ง์—…์— ๋Œ€ํ•˜์—ฌ ๋ณด์ƒ, ๊ณ ์šฉํ˜„ํ™ฉ, ๋ฐœ์ „๊ฐ€๋Šฅ์„ฑ ๋“ฑ์˜ ๋‹ค์–‘ํ•œ ๊ฐ€์น˜๋ฅผ ๋ฐ˜์˜ํ•œ ์ข…ํ•ฉ์ ์ธ ์ง์—…์ „๋ง ์ง€ํ‘œ๋ฅผ ์‚ฐ์ถœํ•˜์˜€๋‹ค. ๏ผŸ๏ผŸ์ด ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ์‚ฐ์ถœ๋œ ํ˜„์žฌ๊ณผ 10๋…„ ํ›„์˜ ์ง์—…์ „๋ง์„ ๋น„๊ตํ•œ ์ง์—…์„ธ๊ณ„ ๋ณ€๋™์— ๊ด€ํ•œ ์ •๋ณด๋Š” ์ง„๋กœ๋ฅผ ์„ ํƒํ•˜๊ณ  ์ค€๋น„ํ•˜๋Š” ํ•™์ƒ, ๊ตฌ์ง ๋˜๋Š” ์ „์ง์„ ์ค€๋น„ํ•˜๋Š” ์ฒญ๋…„ยท๋Œ€ํ•™์ƒ ๋ฐ ์žฌ์ง์ž, ๊ทธ๋ฆฌ๊ณ  ์ธ์ ์ž์›์ •์ฑ… ๋‹ด๋‹น์ž ๋“ฑ์—๊ฒŒ๋„ ์œ ์šฉํ•˜๊ฒŒ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. โ—‹ ์ฃผ์š”๋‚ด์šฉ - ํ˜„์žฌ์˜ ์ง์—…์ „๋ง ์ง€ํ‘œ - 10๋…„ ํ›„์˜ ์ง์—…์ „๋ง ์ง€ํ‘œ - ์„œ๋น„์Šค์ง ์ง์—…์ „๋ง ์ง€ํ‘œ - ์—ฌ์„ฑ ์œ ๋ง์ง์ข… - ๊ณ ๋ น์ž ์œ ๋ง์ง์ข…1. Introduction This study succeeds the 2007 project on &ampquotDevelopment of KRIVET Occupation Prospect Index&amp. The main objective of the 2007 study was to complete development the Occupation Prospect Index about 152 jobs from manufacturing and construction industries. In addition to last year's survey, we have carried out a survey about 165 jobs from management occupations, buisiness and financial operations occupations, social service occupations, sales, personal care and service occupations, farming, fishing, and forestry occupations in this year. The purpose of this study is to afford a credible Occupation Prospect Index of 317 jobs in the whole occupations synthetically and make it public so as to broaden the understanding of individuals about the world of occupations and thereby support rational career planning. Also, it aims to strengthen the linkage between school and work, and support the government's HRD policy. KRIVET Occupation Prospect Index consists of seven evaluation areas and 23 detailed items as follows: โ‘  compensation - earnings and benefits โ‘กemployment conditions - job creation, job growth, and job competition โ‘ขemployment stability - full-time employment and job retention โ‘ฃcareer growth prospects - self-development, promotion, and possibility of job change โ‘คworking conditions - working hours, physical environment, stress โ‘ฅprofessionalism - expert knowledge, autonomy, authority, social reputation, community service, and spirit of calling โ‘ฆemployment equality - gender equality, elder-friendliness. First of all, we have constructed a database of 17,517 occupation experts using various ways and developed an on-line survey system. Survey period was from 9 May to 20 June, 2008 and, finally, we received 4,950 responses from 1,082 occupation experts for 165 occupations surveyed this year. They responded to these items for maximum of 10 jobs among 165 jobs which were from management occupations, buisiness and financial operations occupations, social service occupations, sales, personal care and service occupations, farming, fishing, and forestry occupations. They have evaluated 23 detailed items for each job of their choice for present and 10 years later from now. 2. Main Findings The Occupation Prospect Index(2008) was compiled for the 317 jobs based on occupation experts' responses on 23 detailed survey items. The main results will be presented in three distinguishing time horizons, namely, present, 10 years time, and the difference between the two points in time. First, according to the Occupation Prospect Index(2008) for the present, buisiness and financial operations occupations showed the highest prospects, followed by management occupations, social service occupations in KECO major group. As looking into the comprehensive Occupation Prospect Index in KECO minor group, finance and insurance related occupations showed the highest prospects, followed by lawใ†policeใ†correction related occupations, IT related occupations, management occupations, businessใ†financeใ†office work related occupations. Second, according to the Occupation Prospect Index(2008) for the 10 years time, the occupations with the highest prospects are buisiness and financial operations ones, followed by management occupations, social service occupations in KECO major group. As looking into the comprehensive Occupation Prospect Index(2008) in KECO minor group, finance and insurance related occupations showed the highest prospects, followed by food service related occupations, businessใ†financeใ†office work related occupations, management occupations, food processing related occupations. Third, the analysis of the change in Occupation Prospect Index(2008) for 10 years time showed a significant structural change in the world of occupations. Occupation Prospect Index for present and 10 years later from now had a high correlation. It was meant that the structure in the world of occupations for present was keep up for 10 years later from now. Prospective occupations both now and in the future included businessใ†financeใ†office work related occupations(experts in human resource and industrial relations, management consultants, etc.), finance and insurance related occupations(investment and credit analyst, financial consultant and fund manager, etc), health and medical service related occupations(doctor, oriental doctor, etc), engineers in various fields(mechanical/materials /chemical/electronic engineering). Occupations with weakening occupation prospects both now and in the future included construction related occupations, such as steel worker, concrete worker, cement masons and concrete finisher, brickmason, plasterer, paperhanger, coal miner, stonemason, construction and mining related worker, driving and transportation related occupations, business and sales related occupations, guard and cleaning related occupations, sewing machine operator, flour milling and polishing related occupations, production worker, packer and packager, farming, fishing, and forestry related occupations(agricultural crop cultivator, fisher and woman diver). 3. Policy Implications Policy implications of the above analysis are as follows. First, it is necessary to raise a recognition about engineers and craftsmen and strengthen career education. Second, it is important to raise a recognition about financial operation, management and social service occupations and cultivate professional manpower in that areas. Third, more various occupations will be good occupations for each occupation prospect area in the future occupational world. Therefore, it is necessary to strengthen career education that adolescents could form the flexible occupational view. Fourth, it is required that many jobs will increase to utilize the idle labor force. In order to utilize the female labor force and middle and old people, it is very important to offer suitable jobs to them. In addition, for improving working conditions of the small and medium-sized enterprises, government should provide policy countermeasure. Fifth, it is necessary to prepare the demand-supply alternatives of teachers by aging society prospect.๋ชฉ ์ฐจ ์š” ์•ฝ ์ œ1์žฅ ์„œ๋ก  ์ œ1์ ˆ ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ ๋ฐ ๋ชฉ์  1 1. ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ 1 2. ์—ฐ๊ตฌ๋ชฉ์  2 ์ œ2์ ˆ ์—ฐ๊ตฌ๋‚ด์šฉ ๋ฐ ๋ฐฉ๋ฒ• 3 1. ์—ฐ๊ตฌ๋‚ด์šฉ 3 2. ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 4 ์ œ3์ ˆ ์—ฐ๊ตฌ๋ฒ”์œ„ 6 ์ œ4์ ˆ ์šฉ์–ด์˜ ์ •์˜ 9 1. ์ง์—…์ „๋ง ์ง€ํ‘œ 9 2. ์ง์—…์ „๋ฌธ๊ฐ€ 10 ์ œ2์žฅ ์ง์—…์ „๋ง ์ง€ํ‘œ ๊ฐœ๋ฐœ ์—ฐ๊ตฌ๋ฐฉ๋ฒ•๋ก  ์ œ1์ ˆ ์„ ํ–‰์—ฐ๊ตฌ ๋ถ„์„ 13 ์ œ2์ ˆ ์ง์—…์ „๋ง ์ง€ํ‘œ์˜ ๊ตฌ์„ฑ 15 1. ์ง์—…์ „๋ง ์ง€ํ‘œ์˜ ๋ฒ”์ฃผ์™€ ์„ธ๋ถ€ ํ•ญ๋ชฉ 15 2. ์ง€ํ‘œ ์ƒ์„ฑ์„ ์œ„ํ•œ ๊ฐ€์ค‘์น˜ 21 ์ œ3์ ˆ ์ง์—…์ „๋ง ์กฐ์‚ฌ์˜ ์„ค๊ณ„ 23 1. ์กฐ์‚ฌ์ง์—… ์„ ์ • 23 2. ์ง์—…์ „๋ฌธ๊ฐ€ DB ๊ตฌ์ถ• 27 3. ์„ค๋ฌธ์ง€ ์žฌ์กฐ์ • 35 4. ์กฐ์‚ฌ ์‹ค์‹œ ์ฒด๊ณ„์˜ ๊ตฌ์ถ• 39 ์ œ3์žฅ ์šฐ๋ฆฌ๋‚˜๋ผ ์‚ฐ์—…์˜ ํŠน์ง•๊ณผ ์ง์—…์„ธ๊ณ„ ์ œ1์ ˆ ์‚ฐ์—…๊ฐœ๊ด€ 41 1. ์‚ฐ์—…๊ตฌ์กฐ 41 2. ์‚ฐ์—…๋™ํ–ฅ 47 ์ œ2์ ˆ ์šฐ๋ฆฌ๋‚˜๋ผ ์ง์—…์„ธ๊ณ„์˜ ๋ณ€ํ™”์ถ”์ด 51 1. ์ทจ์—…๊ตฌ์กฐ 51 2. ์‚ฐ์—…๋ณ„ ์ทจ์—…๊ตฌ์กฐ 52 3. ์ง์—…๋ณ„ ์ทจ์—…๊ตฌ์กฐ 54 4. ๊ณ ์šฉํ˜•ํƒœ๋ณ„ ์ทจ์—…๊ตฌ์กฐ 55 ์ œ3์ ˆ ์ง์ข…๋ณ„ ์ง์—…์˜ ํŠน์ง• 57 1. ๋ณด์ƒ ์˜์—ญ: ์ž„๊ธˆํ˜„ํ™ฉ 57 2. ๊ณ ์šฉ์•ˆ์ • ์˜์—ญ: ๊ณ ์šฉํ˜•ํƒœ 62 3. ๋ฐœ์ „ ๊ฐ€๋Šฅ์„ฑ ์˜์—ญ: ๊ต์œกํ›ˆ๋ จ ์ด์ˆ˜ 72 4. ๊ทผ๋ฌด์—ฌ๊ฑด ์˜์—ญ: ๊ทผ๋ฌด์‹œ๊ฐ„ 74 5. ์ง์—…์ „๋ฌธ์„ฑ ์˜์—ญ: ๋ฉดํ—ˆ ๋ฐ ์ž๊ฒฉ ๋ณด์œ ๋น„์œจ 75 ์ œ4์žฅ ์ง์—…์ „๋ง ์ง€ํ‘œ์˜ ์ฃผ์š” ๊ฒฐ๊ณผ ์ œ1์ ˆ ์กฐ์‚ฌ ๊ฐœ์š” 77 ์ œ2์ ˆ ํ˜„์žฌ์˜ ์ง์—…์ „๋ง ์ง€ํ‘œ 82 1. ์ข…ํ•ฉ ์ง์—…์ „๋ง ์ง€ํ‘œ 82 2. ์˜์—ญ๋ณ„ ์ง์—…์ „๋ง ์ง€ํ‘œ 88 3. ์ฃผ์š” ์˜์—ญ ๊ฐ„ ๊ต์ฐจ ๋น„๊ต 100 ์ œ3์ ˆ 10๋…„ ํ›„์˜ ์ง์—…์ „๋ง ์ง€ํ‘œ 110 1. ์ข…ํ•ฉ ์ง์—…์ „๋ง ์ง€ํ‘œ 110 2. ์˜์—ญ๋ณ„ ์ง์—…์ „๋ง ์ง€ํ‘œ 116 3. ์ฃผ์š” ์˜์—ญ ๊ฐ„ ๊ต์ฐจ ๋น„๊ต 128 ์ œ4์ ˆ ์ง์—…์„ธ๊ณ„ ๋ณ€ํ™”์ถ”์ด 136 1. ์ข…ํ•ฉ ์ง€ํ‘œ์˜ ๋ณ€ํ™”์ถ”์ด 137 2. ์˜์—ญ๋ณ„ ์ง€ํ‘œ์˜ ๋ณ€ํ™”์ถ”์ด 149 3. ์„ธ๋ถ€ ์˜์—ญ๋ณ„ ์ง€ํ‘œ์˜ ๋ณ€ํ™”์ถ”์ด 161 ์ œ5์žฅ ์„œ๋น„์Šค์ง ์ง์—…์ „๋ง ์ง€ํ‘œ์˜ ์ฃผ์š” ๊ฒฐ๊ณผ ์ œ1์ ˆ ํ˜„์žฌ์˜ ์ง์—…์ „๋ง ์ง€ํ‘œ 179 1. ์ข…ํ•ฉ ์ง์—…์ „๋ง ์ง€ํ‘œ 179 2. ์˜์—ญ๋ณ„ ์ง์—…์ „๋ง ์ง€ํ‘œ 183 3. ์ฃผ์š” ์˜์—ญ ๊ฐ„ ๊ต์ฐจ ๋น„๊ต 190 ์ œ2์ ˆ 10๋…„ ํ›„์˜ ์ง์—…์ „๋ง ์ง€ํ‘œ 197 1. ์ข…ํ•ฉ ์ง์—…์ „๋ง ์ง€ํ‘œ 197 2. ์˜์—ญ๋ณ„ ์ง์—…์ „๋ง ์ง€ํ‘œ 201 3. ์ฃผ์š” ์˜์—ญ ๊ฐ„ ๊ต์ฐจ ๋น„๊ต 208 ์ œ3์ ˆ ์‹œ์‚ฌ์  215 ์ œ6์žฅ ์ด์Šˆ๋ถ„์„ ๋ฐ ์กฐ์‚ฌ๊ฒฐ๊ณผ ํƒ€๋‹น์„ฑ ๊ฒ€ํ†  ์ œ1์ ˆ ์—ฌ์„ฑ ์œ ๋ง์ง์ข… 223 1. ํ˜„์žฌ ์‹œ์ ์˜ ์–‘์„ฑํ‰๋“ฑ 224 2. 10๋…„ ํ›„ ์‹œ์ ์˜ ์–‘์„ฑํ‰๋“ฑ 227 3. ์–‘์„ฑํ‰๋“ฑ ์˜์—ญ๊ณผ ์ข…ํ•ฉ ์ง€ํ‘œ์˜ ๊ต์ฐจ ๋น„๊ต 228 4. ์—ฌ์„ฑ ์œ ๋ง์ง์—… ๋ฐœ๊ตด 232 ์ œ2์ ˆ ๊ณ ๋ น์ž ์œ ๋ง์ง์ข… 239 1. ํ˜„์žฌ ์‹œ์ ์˜ ๊ณ ๋ น์ž ์นœํ™”์„ฑ 239 2. 10๋…„ ํ›„ ์‹œ์ ์˜ ๊ณ ๋ น์ž ์นœํ™”์„ฑ 241 3. ๊ณ ๋ น์ž ์นœํ™”์„ฑ ์˜์—ญ๊ณผ ์ข…ํ•ฉ ์ง€ํ‘œ์˜ ๊ต์ฐจ ๋น„๊ต 242 4. ๊ณ ๋ น์ž ์œ ๋ง์ง์—… ๋ฐœ๊ตด 246 ์ œ3์ ˆ ์กฐ์‚ฌ๊ฒฐ๊ณผ ํƒ€๋‹น์„ฑ ๊ฒ€ํ†  251 ์ œ7์žฅ ์š”์•ฝ ๋ฐ ์ •์ฑ…๊ณผ์ œ ์ œ1์ ˆ ์š”์•ฝ 255 1. ํ˜„์žฌ์˜ ์ง์—…์ „๋ง ์ง€ํ‘œ 256 2. 10๋…„ ํ›„์˜ ์ง์—…์ „๋ง ์ง€ํ‘œ 257 3. ํ˜„์žฌ์™€ 10๋…„ ํ›„ ๊ฐ„์˜ ์ง์—…์ „๋ง ๋ณ€ํ™” 260 4. ์„œ๋น„์Šค์ง์˜ ์ง์—…์ „๋ง ์ง€ํ‘œ 264 5. ์—ฌ์„ฑ ๋ฐ ๊ณ ๋ น์ž ์œ ๋ง์ง์ข… 266 ์ œ2์ ˆ ์ •์ฑ…๊ณผ์ œ 270 1. ๊ธฐ์ˆ ใ†๊ธฐ๋Šฅ๊ณ„ ์ง์—…์— ๋Œ€ํ•œ ์ธ์‹ ์ œ๊ณ  ๋ฐ ์ง„๋กœ๊ต์œก์˜ ๊ฐ•ํ™” 270 2. ๊ธˆ์œตใ†๊ด€๋ฆฌใ†์‚ฌํšŒ์„œ๋น„์Šค์— ๋Œ€ํ•œ ์ธ์‹ ์ œ๊ณ  ๋ฐ ์ธ๋ ฅ์–‘์„ฑ ๊ฐ•ํ™” 271 3. ์œ ์—ฐํ•œ ์ง์—…๊ด€ ํ˜•์„ฑ์„ ์œ„ํ•œ ์ง„๋กœ๊ต์œก ๊ฐ•ํ™” 273 4. ์œ ํœด์ธ๋ ฅ ํ™œ์šฉ์„ ์œ„ํ•œ ์ผ์ž๋ฆฌ ํ™•์ถฉ 274 5. ๊ณ ๋ นํ™” ์ „๋ง์— ๋”ฐ๋ฅธ ๊ต์œก์ „๋ฌธ์ง์˜ ์ˆ˜๊ธ‰๋Œ€์•ˆ ๋งˆ๋ จ 276 ์ œ3์ ˆ ํ–ฅํ›„๊ณผ์ œ 278 1. ์ง์—…์ „๋ง ์ง€ํ‘œ ๋ฐ ๊ฐ€์ค‘์น˜ ๋ณด์™„ ์—ฐ๊ตฌ 278 2. ๋น„์ž„๊ธˆ๊ทผ๋กœ์ž์˜ ์กฐ์‚ฌํ•ญ๋ชฉ ๊ฐœ๋ฐœ 279 3. ์ง์—…์ „๋ง ์ง€ํ‘œ์™€ ์‹ค์ œ ํ†ต๊ณ„์ž๋ฃŒ ๋ถ„์„ 279 4. ๊ตฌ์ถ•๋œ ์ง์—…์ „๋ฌธ๊ฐ€ ๊ด€๋ฆฌ ๋ฐ ํ™œ์šฉ๋ฐฉ์•ˆ ๋งˆ๋ จ 280 5. ์ฃผ๊ธฐ์  ์กฐ์‚ฌ ์‹œ์Šคํ…œ ๊ตฌ์ถ• 281 6. ์ง์—…์ „๋ง ์ •๋ณด ์ œ๊ณต ์˜จ๋ผ์ธ ์‹œ์Šคํ…œ ๊ตฌ์ถ• 281 7. ์ง์—…์ „๋ง ์ •๋ณด ํ™๋ณด ๋ฐ ๋ณด๊ธ‰๋ฐฉ์•ˆ 282 8. ์ง์—…์ „๋ง๊ณผ ๊ต์œก์ „๋ง ์—ฐ๊ณ„ ์—ฐ๊ตฌ ์‹ค์‹œ 282 SUMMARY 283 <๋ถ€๋ก 1> ์›น ๊ธฐ๋ฐ˜ ์„ค๋ฌธ์กฐ์‚ฌ ์‹œ์Šคํ…œ 289 <๋ถ€๋ก 2> ์„ค๋ฌธ์กฐ์‚ฌ์ง€(ํ†ตํ•ฉํ˜• ๋ฐ ์ž„๊ธˆ๊ทผ๋กœ์ž์šฉ) 295 <๋ถ€๋ก 3> ์ง์—…์ „๋ง ์ง€ํ‘œ ํ•ญ๋ชฉ๋ณ„ ์ƒใ†ํ•˜์œ„ 50๊ฐœ ์ง์—… 297 <๋ถ€๋ก 4> ์ง์—…์ „๋ง ์ง€ํ‘œ ์„ธ๋ถ€ ํ•ญ๋ชฉ๋ณ„ ์ƒใ†ํ•˜์œ„ 50๊ฐœ ์ง์—… 311 <๋ถ€๋ก 5> ์ง€ํ‘œ์˜์—ญ๋ณ„ ํ˜„์žฌ์™€ ๋ฏธ๋ž˜ ์ง์—…์ „๋ง ๋ชฉ๋ก 357 <๋ถ€๋ก 6> ์ข…ํ•ฉ ์ง์—…์ „๋ง ์ง€ํ‘œ ์ง์—… ์„ธ๋ถ„๋ฅ˜ ๋ถ„์„๊ฒฐ๊ณผ 365 ์ฐธ๊ณ ๋ฌธํ—Œ 36

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    Vocational Research on the Self-employment of Youth by Technological Development

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    ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ๊ธฐ์ˆ ๋ฐœ์ „์— ๋”ฐ๋ฅธ ์ฒญ๋…„๋“ค์˜ ์ž๊ธฐ๊ณ ์šฉ ์ง์—…์— ๊ด€ํ•œ ์งˆ์  ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ์ž๊ธฐ๊ณ ์šฉ ์ง์—…(์ผ์ž๋ฆฌ)์˜ ๋™ํ–ฅ๊ณผ ํŠน์ง•, ์š”๊ตฌ์—ญ๋Ÿ‰ ๋“ฑ์„ ๋ถ„์„ํ•˜๊ณ , ๊ธฐ์ˆ ๋ฐœ์ „์— ๋”ฐ๋ฅธ ์ฒญ๋…„ ์ž๊ธฐ๊ณ ์šฉ ์ง์—…(์ผ์ž๋ฆฌ)์˜ ํ™œ์„ฑํ™” ๋ฐ ๋‚ด์‹คํ™”๋ฅผ ์œ„ํ•œ ์ง€์› ์ •์ฑ… ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜๋Š” ๋ฐ ์žˆ๋‹ค. ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์„ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•œ ์—ฐ๊ตฌ์˜ ๋‚ด์šฉ์„ ์‚ดํŽด๋ณด๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ์ฒญ๋…„ ์ž๊ธฐ๊ณ ์šฉ ์ง์—…์˜ ๊ฐœ๋…๊ณผ ์—ฐ๊ตฌ ๋ฒ”์œ„๋ฅผ ์ •์˜ํ•œ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ์ฒญ๋…„, 1์ธ ๊ธฐ์—…, ์ฐฝ์—…, ์ฐฝ์ง, ์ž์˜์—…(self-employment, self-employed), ํฌ๋ผ์šฐ๋“œ ์›Œ์ปค(crowd workers), ๊ธฑ ๋…ธ๋™์ž(gig-workers), ํ˜์‹ ์ ์ธ ์‚ฌ์—…๊ฐ€, ๊ธฐ์—…๊ฐ€ ์ •์‹ (entrepreneurship), ์Šคํƒ€ํŠธ์—…(startups), ๋…๋ฆฝ๊ณ„์•ฝ์ž(independent contractors), ํ”„๋ฆฌ๋žœ์„œ(freelancers) ๋“ฑ ๊ด€๋ จ ์šฉ์–ด์˜ ๊ฐœ๋…์„ ๊ณ ์ฐฐํ•˜์˜€๋‹ค. ๋‘˜์งธ, ๊ธฐ์ˆ ๋ฐœ์ „์— ๋”ฐ๋ฅธ ์ž๊ธฐ๊ณ ์šฉ ๊ด€๋ จ ์ฃผ์š” ์‚ฐ์—…์˜ ๋™ํ–ฅ๊ณผ ๊ด€๋ จ ์ง์—…์˜ ํŠน์ง•์„ ๋ถ„์„ํ•œ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ๊ธฐ์ˆ ๋ฐœ์ „์— ๋”ฐ๋ฅธ ์ฃผ์š” ์‚ฐ์—…์˜ ๋“ฑ์žฅ ๋ฐฐ๊ฒฝ, ๊ธฐ์ˆ ์  ๋™์ธ, ๊ฐœ๋… ๋ฐ ํ˜„ํ™ฉ ๋“ฑ์„ ๋ถ„์„ํ•˜๊ณ  ๊ด€๋ จ ์ง์—…๋“ค์„ ๊ณ ์ฐฐํ•˜์˜€๋‹ค. ์…‹์งธ, ์ฒญ๋…„ ์ž๊ธฐ๊ณ ์šฉ ์ฃผ์š” ์ง์—…์„ ์„ ์ •ํ•˜๊ณ  ์‚ฌ๋ก€๋ฅผ ๋ถ„์„ํ•œ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ์„ ์ • ๊ธฐ์ค€์„ ๊ณ ๋ คํ•˜์—ฌ ์—ฐ๊ตฌ ๋Œ€์ƒ ์ง์—…์„ ์„ ์ •ํ•˜๊ณ  ๊ฐ ์ง์—…์— ์ข…์‚ฌํ•˜๋Š” ์ง์—…์ธ์„ ์„ญ์™ธํ•˜์—ฌ ์ง๋ฌด์กฐ์‚ฌ ๋ฐ ๋ฉด๋‹ด์กฐ์‚ฌ๋ฅผ ํ†ตํ•ด ๊ฐ ์ง์—…์˜ ์ง๋ฌด, ์š”๊ตฌ์—ญ๋Ÿ‰ ๋“ฑ ๊ธฐ๋ณธ ์‚ฌํ•ญ, ๊ต์œกํ›ˆ๋ จ ๋ฐ ์ž๊ฒฉ, ์ปค๋ฆฌ์–ดํŒจ์Šค, ์ž๊ธฐ๊ณ ์šฉ ์ง์—… ์ง„์ถœ ๊ณ„๊ธฐ, ์„ฑ๊ณต ๋ฐ ์‹คํŒจ ์‚ฌ๋ก€, ์ง€์› ์ •์ฑ… ๊ฒฝํ—˜ ๋ฐ ์กฐ์–ธ์— ๊ด€ํ•œ ์งˆ์  ์—ฐ๊ตฌ๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ๋„ท์งธ, ๊ตญ๋‚ด ๋ฐ ๋ฏธ๊ตญ์˜ ์ž๊ธฐ๊ณ ์šฉ ์ง€์› ์ •์ฑ…์„ ๋ถ„์„ํ•˜๊ณ , ์ฒญ๋…„ ์ž๊ธฐ๊ณ ์šฉ ์ง์—… ์ง€์› ์ •์ฑ… ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•œ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ๊ตญ๋‚ด์™€ ๋ฏธ๊ตญ์„ ์ค‘์‹ฌ์œผ๋กœ ์ž๊ธฐ๊ณ ์šฉ ์ง€์› ์ •์ฑ… ์‚ฌ๋ก€๋ฅผ ๋ถ„์„ํ•˜๊ณ , ์ •๋ถ€ ๋ฐ ์ง€์ž์ฒด์˜ ์ง€์› ์ •์ฑ…๊ณผ์ œ์™€ ํ•™๊ต ๊ต์œก ์ธก๋ฉด์—์„œ์˜ ์ง€์› ์ •์ฑ…๊ณผ์ œ๋ฅผ ์ œ์‹œํ•˜์˜€๋‹ค.Technological advances are affecting not only job losses but also the emergence of new business models and types of employment. As social problems such as economic growth without employment and youth unemployment continue, there has been an increasing interest in sole proprietorship as a niche market for job creation. The purpose of this study is to analyze the trends, characteristics, and required competencies of youth self-employment jobs by technological development and propose support measures accordingly.์ œ1์žฅ ์„œ๋ก _1 ์ œ1์ ˆ ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ ๋ฐ ๋ชฉ์  3 ์ œ2์ ˆ ์—ฐ๊ตฌ์˜ ๋‚ด์šฉ ๋ฐ ๋ฐฉ๋ฒ• 7 ์ œ3์ ˆ ์šฉ์–ด์˜ ์ •์˜ 14 ์ œ4์ ˆ ์—ฐ๊ตฌ ๋Œ€์ƒ ์ง์—… ๋ฐ ์„ ์ • ๊ธฐ์ค€ 20 ์ œ5์ ˆ ์—ฐ๊ตฌ์˜ ์ œํ•œ 31 ์ œ2์žฅ ์ž๊ธฐ๊ณ ์šฉ ์ง์—…์„ธ๊ณ„ ๋ณ€ํ™”_33 ์ œ1์ ˆ ๊ธฐ์ˆ ๋ฐœ์ „๊ณผ ๊ณ ์šฉํ˜•ํƒœ์˜ ๋ณ€ํ™” 35 ์ œ2์ ˆ ๊ธฐ์ˆ ๋ฐœ์ „์— ๋”ฐ๋ฅธ ์ฃผ์š” ์‚ฐ์—… ๋™ํ–ฅ 54 ์ œ3์ ˆ ์ฃผ์š” ์‚ฐ์—…์˜ ์ง์—… ๊ฐœ์š” 79 ์ œ4์ ˆ ์‹œ์‚ฌ์  89 ์ œ3์žฅ ์ฒญ๋…„ ์ž๊ธฐ๊ณ ์šฉ ์ง์—…์˜ ์š”๊ตฌ์—ญ๋Ÿ‰ ๋ฐ ์ปค๋ฆฌ์–ดํŒจ์Šค_91 ์ œ1์ ˆ ์ž๊ธฐ๊ณ ์šฉ ์ง์—…์˜ ๊ธฐ๋ณธ์  ํŠน์„ฑ 93 ์ œ2์ ˆ ์ž๊ธฐ๊ณ ์šฉ ์ง์—…์˜ ์š”๊ตฌ์—ญ๋Ÿ‰ 106 ์ œ3์ ˆ ์ž๊ธฐ๊ณ ์šฉ ์ง์—…์˜ ๊ต์œกํ›ˆ๋ จ ๋ฐ ์ž๊ฒฉ 127 ์ œ4์ ˆ ์ž๊ธฐ๊ณ ์šฉ ์ง์—…์˜ ์ปค๋ฆฌ์–ดํŒจ์Šค 135 ์ œ5์ ˆ ์ž๊ธฐ๊ณ ์šฉ ์ง์—…์˜ ํ–ฅํ›„ ์ „๋ง 147 ์ œ6์ ˆ ์‹œ์‚ฌ์  154 ์ œ4์žฅ ์ฒญ๋…„ ์ž๊ธฐ๊ณ ์šฉ ์ง์—…์ธ์˜ ์ง„๋กœ๊ฒฝํ—˜_157 ์ œ1์ ˆ ์ž๊ธฐ๊ณ ์šฉ ์ง์—… ์ง„์ถœ ๊ณ„๊ธฐ 159 ์ œ2์ ˆ ์ž๊ธฐ๊ณ ์šฉ ์ง์—…์˜ ์„ฑ๊ณต ๋ฐ ์‹คํŒจ ๊ฒฝํ—˜ 170 ์ œ3์ ˆ ์ž๊ธฐ๊ณ ์šฉ ์ง€์› ์ •์ฑ…์˜ ๊ฐœ์„  ์š”๊ตฌ์‚ฌํ•ญ 176 ์ œ4์ ˆ ์ง„๋กœ๊ต์œก ๊ด€์ ์˜ ์กฐ์–ธ 186 ์ œ5์ ˆ ์‹œ์‚ฌ์  195 ์ œ5์žฅ ์ฒญ๋…„ ์ž๊ธฐ๊ณ ์šฉ ์ •์ฑ… ๋ถ„์„ ๋ฐ ์ง€์› ๋ฐฉ์•ˆ_197 ์ œ1์ ˆ ๊ตญ๋‚ด ์ž๊ธฐ๊ณ ์šฉ ์ง€์› ์ •์ฑ… ๋ถ„์„ 199 ์ œ2์ ˆ ๋ฏธ๊ตญ ์ž๊ธฐ๊ณ ์šฉ ์ง€์› ์ •์ฑ… ๋ถ„์„ 219 ์ œ3์ ˆ ์ฒญ๋…„ ์ž๊ธฐ๊ณ ์šฉ์„ ์œ„ํ•œ ์ •์ฑ…๊ณผ์ œ 234 Summary_257 ์ฐธ๊ณ ๋ฌธํ—Œ_265 ๋ถ€๋ก_281 1. ๊ธฐ์ˆ ๋ฐœ์ „์— ๋”ฐ๋ฅธ ์ง์—…๊ณผ ์ฐฝ์—… ๊ด€๋ จ ๋ฌธํ—Œ ๊ณ ์ฐฐ 283 2. ์ง๋ฌด์กฐ์‚ฌ์ง€ 286 3. ๋ฉด๋‹ด์กฐ์‚ฌ์ง€ 29

    [์ด์Šˆ๋ถ„์„] ์ง„๋กœ ํƒ์ƒ‰ ์ค‘์‹ฌ์˜ ์ž์œ ํ•™๊ธฐ์ œ ๋„์ž… ๋ฐ ์ง„๋กœ๊ต์œก ์ธํ”„๋ผ ํ™•์ถฉ

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    โ… . ๋…ผ์˜์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  โ…ก. ์ง„๋กœ ํƒ์ƒ‰ ์ค‘์‹ฌ์˜ ์ž์œ ํ•™๊ธฐ์ œ ๋„์ž… ๋ฐ ํ™•์‚ฐ 1. ํ˜„ํ™ฉ 2. ์ •์ฑ… ์ง„๋‹จ ๋ฐ ์ถ”์ง„ ๊ณผ์ œ โ…ข. ์ง„๋กœ๊ต์œก ์ธํ”„๋ผ ํ™•์ถฉ 1. ํ˜„ํ™ฉ 2. ์ •์ฑ… ์ง„๋‹จ ๋ฐ ์ถ”์ง„ ๊ณผ์ œ โ…ฃ. ๊ฒฐ

    Development of KRIVET Occupation Prospect Index(2009)

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    ์ง์—…์„ธ๊ณ„๋Š” ๊ธฐ์ˆ ๋ฐœ์ „๊ณผ ์‚ฌํšŒ๋ณ€ํ™”, ๊ฒฝ์ œํ™œ๋™์˜ ๋ณ€ํ™” ๋“ฑ์— ์˜ํ•ด ์˜ํ–ฅ์„ ๋ฐ›๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ง์—…์„ธ๊ณ„์˜ ๋ณ€ํ™”์— ๋Œ€ํ•œ ์ •๋ณด๋ฅผ ๋ฏธ๋ฆฌ ํš๋“ํ•˜์—ฌ ๋Šฅ๋™์ ์ด๊ณ  ํšจ๊ณผ์ ์œผ๋กœ ๋Œ€์‘ํ•˜๋Š” ๊ฒƒ์€ ์ง์—…์„ ์ค€๋น„ํ•˜๊ณ  ์žˆ๋Š” ์ฒญ๋…„์ธต์˜ ๋†’์€ ์‹ค์—…๋ฅ , ์ค‘.์žฅ๋…„์ธต์˜ ๊ณ ์šฉ ๋ถˆ์•ˆ ์‹ฌํ™”, ๋น„์ •๊ทœ์ง์˜ ํ™•๋Œ€ ๋“ฑ ๋…ธ๋™์‹œ์žฅ์˜ ๊ด€ํ–‰๊ณผ ์ œ๋„ ๋ณ€ํ™”๊ฐ€ ์‹ฌํ™”๋˜๋ฉด์„œ ์ทจ์—…์˜ ์งˆ, ์œ ๋ง์ง์—… ํ˜น์€ ๊ดœ์ฐฎ์€ ์ง์—…(decent job) ์‚ฌํšŒ์  ๊ด€์‹ฌ๊ณผ ์š”๊ตฌ๋Š” ๊ณ„์†์ ์œผ๋กœ ๋†’์•„์ง€๊ณ  ์žˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ์ง์—…์˜ ๋‹ค์–‘ํ•œ ๊ฐ€์น˜๋ฅผ ๋ฐ˜์˜ํ•œ ์ข…ํ•ฉ์ ์ธ ์ง์—…์ „๋ง ์ง€ํ‘œ๋ฅผ ์ฃผ๊ธฐ์ ์œผ๋กœ ์‚ฐ์ถœํ•จ์œผ๋กœ์จ ์ง์—…์„ธ๊ณ„ ๋ณ€ํ™”์— ๋Œ€ํ•œ ๊ตญ๋ฏผ์˜ ์ดํ•ด๋„๋ฅผ ๋†’์ด๊ณ , ์ฃผ๋„์ ์ธ ์ง„๋กœ์„ค๊ณ„๋ฅผ ์ง€์›ํ•˜๋ฉฐ, ์ •๋ถ€์˜ ์ธ์ ์ž์›์ •์ฑ… ์ˆ˜๋ฆฝ์— ๊ธฐ์—ฌํ•˜๊ณ ์ž ํ•˜๋Š” ๋ฐ ๋ชฉ์ ์ด ์žˆ๋‹ค. โ—‹ ์ฃผ์š”๋‚ด์šฉ - ์ œ์กฐ.๊ฑด์„ค.์ด๊ณต๊ณ„๋ถ„์•ผ์˜ ํŠน์ง•๊ณผ ์ง์—…์„ธ๊ณ„ - ํ˜„์žฌ ๋ฐ 10๋…„ ํ›„์˜ ์ง์—…์ „๋ง ์ง€ํ‘œ - ํ˜„์žฌ์™€ 10๋…„ ํ›„ ๊ฐ„์˜ ์ ์—…์ „๋ง ๋ณ€ํ™” - ์—ฌ์„ฑ ๋ฐ ๊ณ ๋ น์ž ์œ ๋ง์ง์—… - ์ง์—…์ „๋ง ์—ฐ๊ตฌ์˜ ์ค‘์žฅ๊ธฐ ๊ณ„ํš1. Introduction The unemployment ratio among the rising generation and the anxiety of the insecurity of their occupations among the elderly are being aggravated along with the increase of the ratio of casual workers(non-regular workers), to be faced with the worldwide economic crisis. The nation needs the information for more secure occupations, promising occupations in the future's work world that are unpredictable, as the employment quality is growing worse. For this reason, to develop a path for the nation, we are willing to provide an output of Occupation Prospect Index that will strengthen the relationship between the education world and the work world, which is an important data for the subject of the economy to encounter the changes of the work world more actively and effectively. The following is our research method. First, the comparative analysis of the actual statistical data of the 2007-2008 KRIVET Occupation Prospect Index result. The second is to analyze the national and international studies and statistical data that are related with the evaluation field and item details of the Occupation Prospect Index. Third, the specialist survey for additive computation of the evaluation field and item details of the index along with the Occupation Prospect Index survey after 2007, of the occupations that belong to the major industries of manufacture, construction, science and engineering. Then, the fourth is to calculate each indexes based on synthesis prospect index and field prospect index to find out promising occupations or promising occupations for the aged/woman. Then, finally based on the research of all the above, we will present a long term strategic plan and policy implication of the Occupation Prospect Index henceforth. Based on the basic research of 2006, we consists of category of Occupation Prospect Index. For Occupation Prospect Index's computation of the weight, we research into Delphi-survey of 58 specialist and Occupation Prospect Index consists of seven evaluation items as follows : โ‘ compensation - earnings and benefits โ‘กemployment conditions - job creation, job growth, and job competition โ‘ขemployment stability - full-time employment and job retention โ‘ฃcareer growth prospects - self-development, promotion, and possibility of job change โ‘คworking conditions - working hours, physical environment, stress โ‘ฅprofessionalism - expert knowledge, autonomy, authority, social reputation, community service, and spirit of calling โ‘ฆemployment equality - gender equality, elder-friendliness. Finally, 140 among 152 jobs(excepting 12 jobs) of the manufacturing and construction industries fields's low group carried out the survey.์š” ์•ฝ ์ œ1์žฅ ์„œ๋ก  ์ œ1์ ˆ ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ ๋ฐ ๋ชฉ์  1 1. ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ 1 2. ์—ฐ๊ตฌ์˜ ๋ชฉ์  3 ์ œ2์ ˆ ์—ฐ๊ตฌ๋‚ด์šฉ ๋ฐ ๋ฐฉ๋ฒ• 3 1. ์—ฐ๊ตฌ๋‚ด์šฉ 3 2. ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 6 ์ œ3์ ˆ ์—ฐ๊ตฌ๋ฒ”์œ„ 9 ์ œ4์ ˆ ์šฉ์–ด์˜ ์ •์˜ 13 1. ์ง์—…์ „๋ง ์ง€ํ‘œ 13 2. ์ง์—…์ „๋ฌธ๊ฐ€ 14 ์ œ2์žฅ ์ง์—…์ „๋ง ์ง€ํ‘œ ๊ฐœ๋ฐœ ์—ฐ๊ตฌ๋ฐฉ๋ฒ•๋ก  ์ œ1์ ˆ ์ง์—…์ „๋ง ์ง€ํ‘œ์™€ ์‹ค์ œ ํ†ต๊ณ„์ž๋ฃŒ ๋ถ„์„ 17 ์ œ2์ ˆ ์ง์—…์ „๋ง ์ง€ํ‘œ์˜ ๊ตฌ์„ฑ 24 1. ์ง์—…์ „๋ง ์ง€ํ‘œ์˜ ๋ฒ”์ฃผ์™€ ์„ธ๋ถ€ ํ•ญ๋ชฉ 24 2. ์ง์—…์ „๋ง ์ง€ํ‘œ ๊ฐ€์ค‘์น˜ ์กฐ์‚ฌ 28 ์ œ3์ ˆ ์ง์—…์ „๋ง ์กฐ์‚ฌ์˜ ์„ค๊ณ„ 32 1. ์กฐ์‚ฌ์ง์—… ์„ ์ • 32 2. ์ง์—…์ „๋ฌธ๊ฐ€ DB ๊ตฌ์ถ• 34 ์ œ3์žฅ ์ œ์กฐใ†๊ฑด์„คใ†์ด๊ณต๊ณ„๋ถ„์•ผ์˜ ํŠน์ง•๊ณผ ์ง์—…์„ธ๊ณ„ ์ œ1์ ˆ ์ œ์กฐ ๊ฑด์„ค์—… ๋™ํ–ฅ 39 1. ์‚ฐ์—…๊ตฌ์กฐ 39 2. ์‚ฐ์—…๋™ํ–ฅ 43 ์ œ2์ ˆ ์ œ์กฐใ†๊ฑด์„คใ†์ด๊ณต๊ณ„ ์ง์—…์„ธ๊ณ„์˜ ๋ณ€ํ™”์ถ”์ด 46 1. ์ทจ์—…๊ตฌ์กฐ 46 2. ์‚ฐ์—…๋ณ„ ์ทจ์—…๊ตฌ์กฐ 48 3. ์ง์—…๋ณ„ ์ทจ์—…๊ตฌ์กฐ 49 4. ๊ณ ์šฉํ˜•ํƒœ๋ณ„ ์ทจ์—…๊ตฌ์กฐ 50 ์ œ3์ ˆ ์ง์ข…๋ณ„ ์ง์—…์˜ ํŠน์ง• 52 1. ๋ณด์ƒ ์˜์—ญ: ์ž„๊ธˆํ˜„ํ™ฉ 52 2. ๊ณ ์šฉ์•ˆ์ • ์˜์—ญ: ๊ณ ์šฉํ˜•ํƒœ 58 3. ๊ทผ๋ฌด์—ฌ๊ฑด ์˜์—ญ: ๊ทผ๋ฌด์‹œ๊ฐ„ 66 ์ œ4์žฅ ์ง์—…์ „๋ง ์ง€ํ‘œ์˜ ์ฃผ์š” ๊ฒฐ๊ณผ ์ œ1์ ˆ ์กฐ์‚ฌ ๊ฐœ์š” 69 ์ œ2์ ˆ ํ˜„์žฌ์˜ ์ง์—…์ „๋ง์ง€ํ‘œ 73 1. ์ข…ํ•ฉ ์ง์—…์ „๋ง์ง€ํ‘œ 73 2. ์˜์—ญ๋ณ„ ์ง์—…์ „๋ง์ง€ํ‘œ 78 3. ์ฃผ์š” ์˜์—ญ๊ฐ„ ๊ต์ฐจ ๋น„๊ต 92 4. 2007-2009 ๊ฒฐ๊ณผ๋น„๊ต 101 ์ œ3์ ˆ 10๋…„ ํ›„์˜ ์ง์—…์ „๋ง์ง€ํ‘œ 114 1. ์ข…ํ•ฉ ์ง์—…์ „๋ง์ง€ํ‘œ 114 2. ์˜์—ญ๋ณ„ ์ง์—…์ „๋ง์ง€ํ‘œ 117 3. ์ฃผ์š” ์˜์—ญ๊ฐ„ ๊ต์ฐจ ๋น„๊ต 131 4. 2007-2009 ๊ฒฐ๊ณผ ๋น„๊ต 139 ์ œ4์ ˆ ์ง์—…์„ธ๊ณ„ ๋ณ€ํ™” ์ถ”์„ธ 151 1. ์ข…ํ•ฉ์ง€ํ‘œ์˜ ๋ณ€ํ™”์ถ”์ด 151 2. ์˜์—ญ๋ณ„ ์ง€ํ‘œ์˜ ๋ณ€ํ™”์ถ”์ด 160 3. ์„ธ๋ถ€ ์˜์—ญ๋ณ„ ์ง€ํ‘œ์˜ ๋ณ€ํ™”์ถ”์ด 171 4. 2007-2009 ๊ฒฐ๊ณผ ๋น„๊ต 189 ์ œ5์žฅ ์ด์Šˆ๋ถ„์„ ๋ฐ ์กฐ์‚ฌ๊ฒฐ๊ณผ ํƒ€๋‹น์„ฑ ๊ฒ€ํ†  ์ œ1์ ˆ ์—ฌ์„ฑ ์œ ๋ง์ง์—… 195 1. ํ˜„์žฌ ์‹œ์ ์˜ ์–‘์„ฑํ‰๋“ฑ 196 2. 10๋…„ ํ›„ ์‹œ์ ์˜ ์–‘์„ฑํ‰๋“ฑ 199 3. ์–‘์„ฑํ‰๋“ฑ ์˜์—ญ๊ณผ ์ข…ํ•ฉ ์ง€ํ‘œ์˜ ๊ต์ฐจ ๋น„๊ต 201 4. ์—ฌ์„ฑ ์œ ๋ง์ง์—… ๋ฐœ๊ตด 205 ์ œ2์ ˆ ๊ณ ๋ น์ž ์œ ๋ง์ง์—… 211 1. ํ˜„์žฌ ์‹œ์ ์˜ ๊ณ ๋ น์ž ์นœํ™”์„ฑ 211 2. 10๋…„ ํ›„ ์‹œ์ ์˜ ๊ณ ๋ น์ž ์นœํ™”์„ฑ 214 3. ๊ณ ๋ น์ž ์นœํ™”์„ฑ ์˜์—ญ๊ณผ ์ข…ํ•ฉ ์ง€ํ‘œ์˜ ๊ต์ฐจ ๋น„๊ต 216 4. ๊ณ ๋ น์ž ์œ ๋ง์ง์—… ๋ฐœ๊ตด 220 ์ œ3์ ˆ 2007-2009 ๊ฒฐ๊ณผ ๋น„๊ต 225 1. ์—ฌ์„ฑ ์œ ๋ง์ง์—… ๋น„๊ต 225 2. ๊ณ ๋ น์ž ์œ ๋ง์ง์—… ๋น„๊ต 228 ์ œ4์ ˆ ์กฐ์‚ฌ๊ฒฐ๊ณผ ํƒ€๋‹น์„ฑ ๊ฒ€ํ†  232 ์ œ6์žฅ ์š”์•ฝ ๋ฐ ์ •์ฑ…๊ณผ์ œ ์ œ1์ ˆ ์š”์•ฝ 235 1. ํ˜„์žฌ์˜ ์ง์—…์ „๋ง ์ง€ํ‘œ 236 2. 10๋…„ ํ›„์˜ ์ง์—…์ „๋ง ์ง€ํ‘œ 237 3. ํ˜„์žฌ์™€ 10๋…„ ํ›„ ๊ฐ„์˜ ์ง์—…์ „๋ง ๋ณ€ํ™” 238 4. ์—ฌ์„ฑ ๋ฐ ๊ณ ๋ น์ž ์œ ๋ง์ง์—… 242 ์ œ2์ ˆ ์ •์ฑ…๊ณผ์ œ 245 1. ๊ฑด์„ค ์‚ฐ์—… ๋ถ„์•ผ์˜ ๊ธฐ๋Šฅ ์ธ๋ ฅ ์œก์„ฑ์„ ์œ„ํ•œ ํŠน๋‹จ์˜ ๋Œ€์ฑ… ํ•„์š” 245 2. ์ด๊ณต๊ณ„ ์ง์—…์— ๋Œ€ํ•œ ์ธ์‹ ์ œ๊ณ  ๋ฐ ์ง„๋กœ๊ต์œก ๊ฐ•ํ™” 246 3. ์ง์—…์ „๋ง ํ†ต๊ณ„ ์ƒ์„ฑ์„ ์œ„ํ•œ ๋ฒ”๋ถ€์ฒ˜ ํ˜‘๋ ฅ ์ฒด์ œ ๊ตฌ์ถ• ํ•„์š” 247 ์ œ3์ ˆ ํ–ฅํ›„๊ณผ์ œ 249 1. ์ง์—…์ „๋ง ์—ฐ๊ตฌ์˜ ์ค‘์žฅ๊ธฐ ๊ณ„ํš 249 2. ์ง์—…์ „๋ง ์ง€ํ‘œ ํ™œ์šฉ๋„ ์ œ๊ณ ๋ฅผ ์œ„ํ•œ ์‹œ์Šคํ…œ ๊ตฌ์ถ• 252 SUMMARY 255 ์ „๋ฌธ๊ฐ€์˜๊ฒฌ ์กฐ์‚ฌ์ง€(๊ฐ€์ค‘์น˜ ์กฐ์‚ฌ) 263 ์›น ๊ธฐ๋ฐ˜ ์„ค๋ฌธ์กฐ์‚ฌ ์‹œ์Šคํ…œ 273 AHP๊ธฐ๋ฒ•์„ ํ†ตํ•œ ๊ฐ€์ค‘์น˜์™€ ์ผ๊ด€์„ฑ์ง€์ˆ˜(C.I.)์˜ ๊ณ„์‚ฐ 279 ์ง์—…์ „๋ง ์ง€ํ‘œ ์‚ฐ์ถœ์— ๋Œ€ํ•œ ์ถ”๊ฐ€ ์„ค๋ช… 285 ์ง์—…์ „๋ง ์ง€ํ‘œ์˜ ๋ณ€ํ™”์ถ”์ด(๋ฏธ๋ž˜-ํ˜„์žฌ)์— ๋Œ€ํ•œ ์ถ”๊ฐ€ ์„ค๋ช… 291 ์ง์—…์ „๋ง ์ง€ํ‘œ ์„ธ๋ถ€ ํ•ญ๋ชฉ๋ณ„ ์ƒใ†ํ•˜์œ„ 20๊ฐœ ์ง์—… 293 ์ง€ํ‘œ ์˜์—ญ๋ณ„ ํ˜„์žฌ์™€ ๋ฏธ๋ž˜ ์ง์—…์ „๋ง ๋ชฉ๋ก 339 ์ข…ํ•ฉ ์ง์—…์ „๋ง ์ง€ํ‘œ ์ง์—… ์„ธ๋ถ„๋ฅ˜ ๋ถ„์„๊ฒฐ๊ณผ 345 KRIVET ์ง์—…์ „๋ง ์ง€ํ‘œ ๊ฒฐ๊ณผ ์›นํŽ˜์ด์ง€ 347 KRIVET ์ง์—…์ „๋ง ์ง€ํ‘œ์™€ ์ž„๊ธˆ, ์ผ์ž๋ฆฌ์ฐฝ์ถœ ํ•ญ๋ชฉ ๋น„๊ต ๋ถ„์„ 348 ์ฐธ๊ณ ๋ฌธํ—Œ 35

    A Study on Improvement of Career Education System in Specialized Vocational High School for Intelligence Information Society

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    ์ด ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์ง€๋Šฅ์ •๋ณด์‚ฌํšŒ๋ฅผ ๋Œ€๋น„ํ•œ ํŠน์„ฑํ™”๊ณ ๋“ฑํ•™๊ต์˜ ์ง„๋กœ๊ต์œก ์ฒด์ œ์˜ ํ˜„ํ™ฉ, ๋ฌธ์ œ์  ๋ฐ ์š”๊ตฌ ์‚ฌํ•ญ์„ ๋ถ„์„ํ•˜๊ณ  ๋ฏธ๋ž˜ ์ง€ํ–ฅ์  ์ง„๋กœ๊ต์œก ์ฒด์ œ ๊ฐœ์„  ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜๋Š” ๋ฐ ์žˆ๋‹ค. ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์„ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•œ ์—ฐ๊ตฌ์˜ ๋‚ด์šฉ์„ ์‚ดํŽด๋ณด๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ์ง€๋Šฅ์ •๋ณด์‚ฌํšŒ์˜ ๋ณ€ํ™”์™€ ํŠน์ง•, ๊ทธ๋ฆฌ๊ณ  ์ด์— ๋Œ€์‘ํ•œ ์ค‘๋“ฑ ์ง์—…๊ต์œก๊ธฐ๊ด€์˜ ๋ณ€ํ™”์™€ ์ง„๋กœ๊ต์œก ์š”๊ตฌ๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ์ง€๋Šฅ์ •๋ณด์‚ฌํšŒ์˜ ๊ฐœ๋…๊ณผ ์ค‘๋“ฑ ์ง์—…๊ต์œก๊ธฐ๊ด€์˜ ๋ณ€ํ™” ๋™ํ–ฅ์„ ์‚ดํŽด๋ณด๊ณ , ์ง€๋Šฅ์ •๋ณด์‚ฌํšŒ์—์„œ ์š”๊ตฌ๋˜๋Š” ์ค‘๋“ฑ ์ง์—…๊ต์œก ์˜ํ–ฅ ์š”์ธ ๋“ฑ์„ ๊ณ ์ฐฐํ•˜์˜€๋‹ค. ๋‘˜์งธ, ํŠน์„ฑํ™”๊ณ /๋งˆ์ด์Šคํ„ฐ๊ณ  ํ•™๊ต ๋ฐ ํ•™์ƒ ํ˜„ํ™ฉ์„ ์‚ดํŽด๋ณด๊ณ  ํ•™์ƒ์˜ ์ง„๋กœ ํŠน์„ฑ๊ณผ ํŠน์„ฑํ™”๊ณ  ์ง„๋กœ๊ต์œก ์ฒด์ œ ๋ฐ ํŠน์ง•์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ์—ฐ๊ตฌ ๋Œ€์ƒ์— ํŠน์„ฑํ™”๊ณ ์™€ ๋งˆ์ด์Šคํ„ฐ๊ณ ๋ฅผ ํฌํ•จํ•˜๊ณ , ์ง„๋กœ๊ต์œก ์ฒด์ œ์˜ ๊ฐœ๋…๊ณผ ๋ฒ”์œ„๋ฅผ ์„ค์ •ํ•˜์—ฌ ํ•™๊ต ์ง„๋กœ๊ต์œก(์ทจ์—…์ง€์› ํฌํ•จ)์˜ ๋ชฉํ‘œ, ์กฐ์ง, ์ธ๋ ฅ, ๊ต์œกํ™œ๋™, ์˜ˆ์‚ฐ ๋“ฑ์„ ๊ณ ์ฐฐํ•˜์˜€๋‹ค. ๋˜ํ•œ, ํ•™๊ต๊ต์œก ์ œ๋„์—์„œ์˜ ์ง„๋กœ๊ต์œก ์ฒด์ œ์™€ ํŠน์„ฑํ™”๊ณ ๋“ฑํ•™๊ต์—์„œ์˜ ์ง„๋กœ๊ต์œก ์ฒด์ œ๋ฅผ ํ•จ๊ป˜ ๊ณ ์ฐฐํ•˜์˜€๋‹ค. ์…‹์งธ, ์ง€๋Šฅ์ •๋ณด์‚ฌํšŒ์— ๋”ฐ๋ฅธ ์ค‘๋“ฑ ์ง์—…๊ต์œก ๋ณ€ํ™”์— ๋Œ€ํ•œ ํŠน์„ฑํ™”๊ณ /๋งˆ์ด์Šคํ„ฐ๊ณ  ๊ต์› ๋ฐ ํ•™์ƒ์˜ ์ธ์‹์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ํŠน์„ฑํ™”๊ณ  ์ง„๋กœ์ „๋‹ด๊ต์‚ฌ, ์ทจ์—…์ง€์›๊ต์‚ฌ(์ทจ์—…์ง€์›๊ด€), ํ•™์ƒ ๋“ฑ์„ ๋Œ€์ƒ์œผ๋กœ ํŠน์„ฑํ™”๊ณ /๋งˆ์ด์Šคํ„ฐ๊ณ  ์ง„๋กœ๊ต์œก ์ฒด์ œ์˜ ๋ฌธ์ œ์ ๊ณผ ๊ฐœ์„  ์š”๊ตฌ ์‚ฌํ•ญ์„ ๊ณ ์ฐฐํ•˜์˜€๋‹ค. ๋„ท์งธ, ๊ตญ๋‚ด ์ง์—…๊ณ„๊ณ  ์ง„๋กœ๊ต์œก ์ฒด์ œ ์‚ฌ๋ก€ ๋ฐ ์ง€๋Šฅ์ •๋ณด์‚ฌํšŒ์— ๋Œ€๋น„ํ•œ ๊ตญ์™ธ ์ง์—…๊ต์œก ๋ฐ ์ง์—…๊ณ„๊ณ  ์ง„๋กœ๊ต์œก ์ฒด์ œ ์‚ฌ๋ก€(๋…์ผ)๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ด๋•Œ ์ง„๋กœ๊ต์œก ์‚ฌ๋ก€๋Š” ์ค‘๋“ฑ ์ง์—…๊ต์œก๊ธฐ๊ด€์˜ ํ•™๊ต ๊ธ‰๋ณ„, ํ•™๊ต ๋ฐ– ๊ธฐ๊ด€๊ณผ์˜ ๊ด€๊ณ„๋ฅผ ํฌํ•จํ•œ ๊ต์œก์ œ๋„์—์„œ์˜ ์ง„๋กœ๊ต์œก ์ฒด๊ณ„์™€ ๋‚ด์šฉ์„ ์ค‘์‹ฌ์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋‹ค์„ฏ์งธ, ์ง€๋Šฅ์ •๋ณด์‚ฌํšŒ์— ๋Œ€๋น„ํ•˜์—ฌ ์ค‘๋“ฑ ์ง์—…๊ต์œก๊ธฐ๊ด€์˜ ์ง„๋กœ๊ต์œก ์ฒด์ œ ๊ฐœ์„  ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๊ตญ๊ฐ€ยท์‚ฌํšŒ์  ๊ด€์ ์˜ ๊ฐœ์„  ๊ณผ์ œ์™€ ํ•™๊ต๊ต์œก์ œ๋„์—์„œ์˜ ํŠน์„ฑํ™”๊ณ  ์ง„๋กœ๊ต์œก ์ฒด์ œ์˜ ๊ฐœ์„  ๋ฐฉ์•ˆ ๋ฐ ์ง€์› ์ •์ฑ… ๋“ฑ์„ ์ œ์‹œํ•˜์˜€๋‹ค.The industry and employment structure in the intelligent information society are expected to change drastically with technology and ICT innovation. Intelligent information technology is combined with various industries, and it is expected that new jobs in the new industry will be created and atypical employment such as platform-based service workers will be expanded. Although research and policy discussions on the direction and role of vocational education for intelligent information society were conducted, research and discussion on the improvement of career education system due to vocational education change are insufficient. In particular, the graduates of specialized vocational high schools(SVHS) are more likely to be exposed to the threat of job loss in the intelligence information society than the higher educated ones, so research on the career education system at the secondary vocational education level is more urgently needed. Chapter 1 outlines the background, content and research methodology of the study as an overview. In The purpose of this study is to analyze the present situation, problems and requirements of the career education system in the specialized high school for the intelligent information society and to suggest ways to improve the future oriented career education system. The contents of the study are as follows. First, the concept of intelligence information society, the changes and trends of secondary vocational education institutions, and the factors affecting secondary vocational education required in intelligent information society were examined. Second, we analyzed the current status of SVHS / meister high school (MHS) and analyzed the characteristics of students' career education system. Third, we analyzed the perception of changes in secondary vocational education for SVHS/MHS teachers and students according to the arrival of intelligence information society. We analyzed the problems and improvement requirements of the SVHS/MHS career education system for career guidance teachers, job support teachers and students. Fourth, the cases of career education system in Korea and the cases of overseas vocational career education system in Germany were analyzed. Fifth, the policy of improvement of career education system of secondary vocational education institutions in national and social perspectives in preparation for intelligence information society was suggested. In this study, research methods such as literature research, in-depth focus group interviews (FGI), questionnaires, overseas business trips, expert conference, and seminars were conducted to achieve the objectives of the study. ...์š” ์•ฝ xi ์ œ1์žฅ ์„œ ๋ก _1 ์ œ1์ ˆ ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ ๋ฐ ๋ชฉ์  3 ์ œ2์ ˆ ์—ฐ๊ตฌ์˜ ๋‚ด์šฉ ๋ฐ ๋ฐฉ๋ฒ• 6 ์ œ3์ ˆ ์šฉ์–ด์˜ ์ •์˜ 15 ์ œ2์žฅ ์ง€๋Šฅ์ •๋ณด์‚ฌํšŒ์™€ ํŠน์„ฑํ™”๊ณ  ์ง„๋กœ๊ต์œก ์ฒด์ œ ๋ถ„์„_19 ์ œ1์ ˆ ์ง€๋Šฅ์ •๋ณด์‚ฌํšŒ์™€ ์ค‘๋“ฑ ์ง์—…๊ต์œก์˜ ๋ณ€ํ™” ๋ฐฉํ–ฅ 21 ์ œ2์ ˆ ํŠน์„ฑํ™”๊ณ  ๋ฐ ํ•™์ƒ ์ง„๋กœ ํ˜„ํ™ฉ 43 ์ œ3์ ˆ ํŠน์„ฑํ™”๊ณ  ์ง„๋กœ๊ต์œก ์ฒด์ œ ๋ฐ ํŠน์ง• 59 ์ œ4์ ˆ ์‹œ์‚ฌ์  72 ์ œ3์žฅ ๊ตญ๋‚ด์™ธ ์ง„๋กœ๊ต์œก ์‚ฌ๋ก€ ๋ถ„์„_75 ์ œ1์ ˆ ๊ตญ๋‚ด ํŠน์„ฑํ™”๊ณ  ์ง„๋กœ๊ต์œก ์‚ฌ๋ก€ ๋ถ„์„ 77 ์ œ2์ ˆ ๋…์ผ ์ง์—…๊ณ„๊ณ  ์ง„๋กœ๊ต์œก ์‚ฌ๋ก€ ๋ถ„์„ 104 ์ œ3์ ˆ ์‹œ์‚ฌ์  141 ์ œ4์žฅ ์ง€๋Šฅ์ •๋ณด์‚ฌํšŒ์™€ ์ง„๋กœ๊ต์œก์— ๋Œ€ํ•œ ์ธ์‹ ๋ฐ ์š”๊ตฌ_145 ์ œ1์ ˆ ์‘๋‹ต์ž ํŠน์„ฑ 147 ์ œ2์ ˆ ์ง€๋Šฅ์ •๋ณด์‚ฌํšŒ ๋ณ€ํ™” ์ธ์‹ 151 ์ œ3์ ˆ ํ•™์ƒ ์ง„๋กœ ๊ณผ์ •๊ณผ ์ค€๋น„ 155 ์ œ4์ ˆ ํ•™๊ต ์ง„๋กœ๊ต์œก ์ฒด์ œ์™€ ์š”๊ตฌ 172 ์ œ5์ ˆ ์‹œ์‚ฌ์  186 ์ œ5์žฅ ํŠน์„ฑํ™”๊ณ  ์ง„๋กœ๊ต์œก ์ฒด์ œ ๊ฐœ์„  ๋ฐฉ์•ˆ_191 ์ œ1์ ˆ ์ง€๋Šฅ์ •๋ณด์‚ฌํšŒ๋ฅผ ๋Œ€๋น„ํ•œ ์ง์—…ยท์ง„๋กœ๊ต์œก์˜ ๋ฐฉํ–ฅ 193 ์ œ2์ ˆ ํŠน์„ฑํ™”๊ณ  ์ง„๋กœ๊ต์œก ์ฒด์ œ ๊ฐœ์„  ๊ณผ์ œ 199 SUMMARY_207 ์ฐธ๊ณ ๋ฌธํ—Œ_217 ๋ถ€๋ก_227 1. ๊ต์‚ฌ์šฉ ๋ฉด๋‹ด์กฐ์‚ฌ์ง€ 229 2. ํ•™์ƒ์šฉ ๋ฉด๋‹ด์กฐ์‚ฌ์ง€ 233 3. ํ•™๊ต๊ด€๋ฆฌ์ž์šฉ ์„ค๋ฌธ์กฐ์‚ฌ์ง€ 237 4. ์ทจ์—…๋ถ€๊ต์‚ฌ์šฉ ์„ค๋ฌธ์กฐ์‚ฌ์ง€ 242 5. ์ง„๋กœ๊ต์‚ฌ์šฉ ์„ค๋ฌธ์กฐ์‚ฌ์ง€ 247 6. ํ•™์ƒ์šฉ ์„ค๋ฌธ์กฐ์‚ฌ์ง€ 25
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