30 research outputs found

    ์˜์–ด ๊ฐ•์˜ ๊ฐœ์„ ์„ ์œ„ํ•œ ๊ต์ˆ˜-ํ•™์ƒ ์ขŒ๋‹ดํšŒ

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    ์ด์žฅ๋ฌด ์ด์žฅ์€ ์˜ฌ ์ดˆ ํ•œ ์–ธ๋ก ๊ณผ์˜ ์ธํ„ฐ๋ทฐ์—์„œ ์„œ์šธ๋Œ€ํ•™๊ต์˜ ๊ฐ€์žฅ ํฐ ๋‹น๋ฉด๊ณผ์ œ๋ฅผ๊ตญ์ œํ™”๋ผ๊ณ  ๋ฐํ˜”๋‹ค. ๋ช‡ ๋…„ ์ „๋ถ€ํ„ฐ ๋ถˆ๊ณ  ์žˆ๋Š” ๋Œ€ํ•™์˜ ๊ตญ์ œํ™” ๋ฐ”๋žŒ ํ•œ๊ฐ€์šด๋ฐ ์„œ ์žˆ๋Š” ์ด์˜์–ด๊ฐ•์˜(English Medium Instruction)์ด๋‹ค. ๋ณธ๊ต์˜ ์˜์–ด๊ฐ•์˜๋Š” 2007๋…„ 1ํ•™๊ธฐ 474๊ฐœ์—์„œ 2007๋…„ 2ํ•™๊ธฐ 478๊ฐœ,2008๋…„ 1ํ•™๊ธฐ 592๊ฐœ๋กœ ์–‘์ ์œผ๋กœ ํฐ ์ฆ๊ฐ€์ถ”์„ธ๋ฅผ ๋ณด์ด๊ณ  ์žˆ๋‹ค. ์ „์ฒด ๊ฐ•์˜์˜ ์•ฝ 12~13%์— ์ด๋ฅด๋Š” ์ˆ˜์น˜์ด๋‹ค. ๋˜ํ•œ, ๋‹จ๊ณผ๋Œ€ํ•™๋ณ„๋กœ ์ฐจ์ด๋Š” ์žˆ์ง€๋งŒ 2008ํ•™๋…„ ์‹ ์ƒ๋ถ€ํ„ฐ์˜์–ด(์™ธ๊ตญ์–ด) ์ง„ํ–‰ ๊ฐ•์ขŒ ์˜๋ฌด์ด์ˆ˜์ œ์˜ ๋Œ€์ƒ์ด ๋˜๋ฉด์„œ ์กธ์—…์„ ์œ„ํ•ด ์˜๋ฌด์ ์œผ๋กœ ์ „๊ณต 3ํ•™์ (1๊ฐ•์ขŒ)์„ ํฌํ•จํ•ด ํ‰๊ท  9ํ•™์ (3๊ฐ•์ขŒ) ์ด์ƒ ์˜์–ด๋กœ ์ง„ํ–‰ํ•˜๋Š” ์ˆ˜์—…์„ ๋“ค์–ด์•ผ ํ•œ๋‹ค

    Online learner competency modeling for improving learner support system in distance university

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) --์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ต์œกํ•™๊ณผ(๊ต์œก๊ณตํ•™์ „๊ณต),2009.2.Docto

    Analysis on Effectiveness of Instructional Consultation in Higher Education

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    ์ˆ˜์—…์ปจ์„คํŒ…์€ ๋Œ€ํ•™์˜ ๋Œ€ํ‘œ์ ์ธ ๊ต์ˆ˜์ง€์› ํ”„๋กœ๊ทธ๋žจ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ˆ˜๋„๊ถŒ์— ์œ„์น˜ํ•œ A ๋Œ€ํ•™์˜ ์‚ฌ๋ก€๋ฅผ ํ†ตํ•ด ์ˆ˜์—…์ปจ์„คํŒ…์ด ๊ฐ•์˜ ๊ฐœ์„ ์— ๋ฏธ์น˜๋Š” ํšจ๊ณผ๋ฅผ ์‚ดํŽด๋ณด๋Š” ๊ฒƒ์„ ๋ชฉ์ ์œผ๋กœ ํ•œ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด 2009๋…„ A ๋Œ€ํ•™์—์„œ ์ˆ˜์—…์ปจ์„ค ํŒ…์— ์ฐธ์—ฌํ•œ 15๋ช…์˜ ๊ต์›๋“ค์˜ ์ˆ˜์—…์ปจ์„คํŒ… ์ž๋ฃŒ, ๊ทธ๋ฃน ์ธํ„ฐ๋ทฐ ์ž๋ฃŒ, ํ•™์ƒ ๋งŒ์กฑ๋„ ํ‰๊ฐ€ ์ž๋ฃŒ ๋“ฑ์„ ํ† ๋Œ€๋กœ ์ˆ˜์—…์ปจ์„ค ํŒ… ์ ˆ์ฐจ, ๊ต์ˆ˜๋“ค์˜ ์ฐธ์—ฌ ๋™๊ธฐ, ์ง„๋‹จ๋œ ๋ฌธ์ œ์™€ ๊ฐœ์„  ๋ฐฉํ–ฅ, ์ˆ˜์—…๊ฐœ์„ ์˜ ํšจ๊ณผ ๋“ฑ์„ ๋ถ„์„ํ•˜์˜€๋‹ค. A๋Œ€ํ•™์€ ํ•™๊ธฐ ๋ณ„๋กœ ์ „๋ฌธ ์ปจ์„คํ„ดํŠธ์— ์˜ํ•œ ์ผ๋Œ€์ผ ์ˆ˜์—…์ปจ์„คํŒ…๊ณผ ๋™๋ฃŒ์ปจ์„คํŒ…์ด ํ˜ผํ•ฉ๋œ ํ˜•ํƒœ์˜ ์ˆ˜์—…์ปจ์„คํŒ… ํ”„๋กœ๊ทธ๋žจ์„ ์šด์˜ํ•˜๊ณ  ์žˆ์—ˆ ๋‹ค. ์ˆ˜์—…์ปจ์„คํŒ… ์ฐธ์—ฌ ๊ต์ˆ˜๋“ค์€ ํ•™์ƒ๋“ค์˜ ๋‚ฎ์€ ์ˆ˜์—… ์ฐธ์—ฌ๋„, ๋ฏธํกํ•œ ํ•™์Šต ๋‚ด์šฉ ์ดํ•ด, ์ €์กฐํ•œ ๊ฐ•์˜ํ‰๊ฐ€ ์ ์ˆ˜ ๋“ฑ์„ ์ด์œ ๋กœ ์ˆ˜์—…์ปจ์„คํŒ…์„ ์‹ ์ฒญํ•˜์˜€๋‹ค. ์ˆ˜์—…์ปจ์„คํŒ… ๊ฒฐ๊ณผ, ๊ต์ˆ˜๋“ค์˜ ๊ต์ˆ˜ํ™œ๋™์— ๋Œ€ํ•œ ๊ทผ๋ณธ์ ์ธ ์ดํ•ด๊ฐ€ ๋ถ€์กฑํ•œ ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์•˜์œผ๋ฉฐ, ํ•™์ƒ๋“ค์˜ ํ•™์Šต ์ด‰์ง„ ๋ฏธํก, ๊ฐ•์˜์˜ ๋น„๊ตฌ์กฐํ™”, ์›ํ™œํ•˜์ง€ ๋ชปํ•œ ์ƒํ˜ธ์ž‘์šฉ, ๊ต์ˆ˜๊ธฐ๋ฒ•์˜ ๋ถ€์ •ํ™•ํ•œ ์ ์šฉ, ๋ถˆํ•„ ์š”ํ•œ ํ–‰๋™์Šต๊ด€ ๋“ฑ์ด ์ˆ˜์—…์˜ ๋ฌธ์ œ์ ์œผ๋กœ ์ง„๋‹จ๋˜์—ˆ๋‹ค. ์ด ์ค‘ ๊ต์‹ค์—์„œ์˜ ํ–‰๋™์ˆ˜์ •๊ณผ ๊ฐ™์ด ์ƒ๋Œ€์ ์œผ๋กœ ์ ์€ ๋…ธ๋ ฅ์ด ์š”๊ตฌ๋˜๋Š” ๊ฐœ์„ ์•ˆ์€ ์‰ฝ๊ฒŒ ์ˆ˜์—…์— ๋ฐ˜์˜๋˜์—ˆ๋‹ค. ์ˆ˜์—…์ปจ์„คํŒ… ์ „ํ›„ ์‹œํ–‰๋œ 9๋ฌธํ•ญ์˜ ํ•™์ƒ ๊ฐ•์˜๋งŒ์กฑ๋„ ์กฐ์‚ฌ์—์„œ 15๋ช…์˜ ์ฐธ์—ฌ ๊ต์ˆ˜ ์ค‘ 11๋ช…์˜ ๊ต์ˆ˜์—๊ฒŒ์„œ ์ƒ์Šนํ•œ ๊ฐ•์˜๋งŒ์กฑ๋„ ๋ฌธํ•ญ์ด ํ•˜๋ฝํ•œ ๊ฐ•์˜๋งŒ์กฑ๋„ ๋ฌธํ•ญ์— ๋น„ํ•ด ๋งŽ์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ ๋‹ค. ์ˆ˜์—…์ปจ์„คํŒ…์€ ์ฐธ์—ฌ ๊ต์ˆ˜์ž๋“ค์—๊ฒŒ ๊ต์ˆ˜(teaching)์— ๋Œ€ํ•ด ์„ฑ์ฐฐํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐํšŒ๋ฅผ ์ฃผ์—ˆ๋‹ค๋Š” ์ ์—์„œ ๋Œ€ํ•™๊ต์œก ์˜ ์งˆ ๊ฐœ์„ ์— ์œ ์˜๋ฏธํ•œ ๋ฐฉ์•ˆ์ด๋ผ๊ณ  ํ‰๊ฐ€ํ•  ์ˆ˜ ์žˆ๋‹ค. The purpose of this research is to examine the effectiveness of instructional consultation which is based on videotaping of class, and to analyze the motivation of participating in instructional consultation, problems in teaching and learning, proposals of improvement, and the result of students' satisfaction. Fifteen professors of university A located in the capital area participated in instructional consultation in 2009. As a result, professors indicated the motives of participating in this consultation to be bad interactive relationship of their students, low students' satisfactions, improvement of teaching styles, obtaining special types of teaching methods, etc. The consultant identified the problems in encouraging students' study, organizing of teaching contents, having interactive relationship with students, applying special teaching methods, and unnecessary teaching habits, and then suggested the improvement strategies. The professors changed their teaching strategies, such as unnecessary teaching habits, that were easy to improve preferentially. After the instructional consultation, 11 professors got the increased scores of students' satisfaction items. The instructional consultation program is effective for providing with professors reflections on their teaching and learning

    ์ „์žฅ์œ ์ „์ฒด ์—ฐ๊ด€๋ถ„์„์—์„œ์˜ ๋ณ€์ˆ˜ ์„ ๋ณ„๊ณผ ๋ณ€์ˆ˜ ์„ ํƒ ๋ฐฉ๋ฒ•์˜ ํ˜„์‹ค์  ์‚ฌ์•ˆ๋“ค

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ํ†ต๊ณ„ํ•™๊ณผ, 2013. 2. ๋ฐ•ํƒœ์„ฑ.Variable selection plays an important role in high dimensional statistical modeling analysis. Computational cost and estimation accuracy are two main concerns for statistical inference of high dimensional data. Recently, many high dimensional data have been generated in biomedical science such as microarray data and single nucleotide polymorphism (SNP) data. Especially, the genome-wide association studies (GWAS) which focus on identifying SNPs associated with a disease of interest, have produced ultra-high dimensional data. Numerous methods have been proposed to handle GWAS data. Most statistical methods have adopted a two-stage approach: (1) pre-screening for dimensional reduction, (2) variable selection for identification of causal SNPs. The pre-screening step selects SNPs in terms of their p-values or absolute value of regression coefficients in single SNP analysis. Penalized regression such as Ridge, Lasso, adaptive Lasso and Elastic-net are commonly used for the variable selection step. In this paper, we investigate which combination of prescreening method and penalized regression performs best on continuous type response variable via real GWA data containing 327,872 SNPs from 8842 individuals.Contents Abstract i Chapter 1. Introduction 1 1.1 Background 1 1.2 Overview 3 Chapter 2. Methods 5 2.1 Standardization 5 2.2 Pre-screening 6 2.3 Variable Selection 6 2.4 Ordering 10 Chapter 3. Analysis 11 3.1 KARE data 11 3.2 Pre-screening 12 3.3 Variable Selection 15 3.4 Comparison Study 19 Chapter 4. Discussion 21 Bibliography 23 ์ดˆ ๋ก 26 List of Figures [Figure 1] 14 [Figure 2] 17 [Figure 3] 18Maste

    ๆ˜ ๅƒ ๏ฆŒๅฒ ๆ•่ฟฐ์˜ ็‰นๆ€ง๊ณผ ๆ•Ž่‚ฒ็š„ ้ฉ็”จ : TV ๋‹คํ๋ฉ˜ํ„ฐ๋ฆฌ <์—ญ์‚ฌ์ŠคํŽ˜์…œ>์„ ไธญๅฟƒ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์‚ฌํšŒ๊ต์œก๊ณผ ์—ญ์‚ฌ์ „๊ณต,2001.Maste

    A Conceptual Framework for e-Learning in Higher Education: From the perspective of Structure and Interaction

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    ๋Œ€ํ•™ ์ด๋Ÿฌ๋‹์˜ ์–‘์  ํ™•๋Œ€์— ๋น„ํ•ด ๊ต์ˆ˜์ž, ํ•™์Šต์ž, ๊ฐœ๋ฐœ์ž, ์šด์˜์ž, ๊ธฐํš์ž ๋“ฑ ๋Œ€ํ•™์˜ ์ด๋Ÿฌ๋‹ ๊ด€๋ จ์ž๋“ค์˜ ๋งŒ์กฑ๋„ ๋ฐ ์งˆ์  ์ฒด๊ณ„ํ™”์— ๋Œ€ํ•œ ์ธ์‹์€ ์—ฌ์ „ํžˆ ๋ฏธํกํ•œ ์ˆ˜์ค€์ด๋‹ค. ์ด๋Ÿฌํ•œ ์›์ธ ์ค‘ ํ•˜๋‚˜๋Š” ์ด๋Ÿฌ๋‹ ์ฒด์ œ๋Š” ๋‹จ์ˆœํžˆ ํ•œ ์ธก๋ฉด์œผ๋กœ ์ดํ•ดํ•ด์„œ๋Š” ์•ˆ ๋˜๋Š”, ์ด์ฒด์ , ํ†ตํ•ฉ์ ์ธ ์‚ฌํšŒ์  ์ฒด์ œ๋กœ ์ดํ•ด๋˜์–ด์•ผ ํ•จ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ๊ต์ˆ˜์ž๋‚˜ ๊ฐœ๋ฐœ์ž, ์šด์˜์ž, ๊ธฐ๊ด€์žฅ ๋“ฑ ๋งŽ์€ ์ด๋Ÿฌ๋‹ ๊ด€๋ จ์ž๋“ค์€ ์ง๊ฐ„์ ‘์ ์ธ ์ž์‹ ์˜ ์ผ๋ถ€ ๊ฒฝํ—˜๋งŒ์œผ๋กœ ์ด๋Ÿฌ๋‹ ์ „์ฒด๋ฅผ ๋‹จ์–ธํ•˜๋Š”, ์žฅ๋‹˜ ์ฝ”๋ผ๋ฆฌ ๋งŒ์ง€๊ธฐ์˜ ์šฐ๋ฅผ ๋ฒ”ํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ์ ์ง€ ์•Š๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ต์ˆ˜์ž, ์ฝ˜ํ…์ธ  ๊ฐœ๋ฐœ์ž, ์‹œ์Šคํ…œ ๊ฐœ๋ฐœ์ž, ๊ฐ•์ขŒ ์šด์˜์ž, ํ˜น์€ ์ด๋Ÿฌ๋‹ ๊ธฐ๊ด€์žฅ ๋ฐ ์˜ˆ์‚ฐ ๊ธฐํš์„ ํ•ด์•ผ ํ•˜๋Š” ๋ณด์ง์ž ๋“ฑ์ด ์ด๋Ÿฌ๋‹ ์ฒด์ œ๋ฅผ ์ดํ•ดํ•˜๊ณ  ๊ฐ ๊ฒฝ์šฐ์˜ ๋ชฉ์ ๊ณผ ์ƒํ™ฉ์— ๋งž๋Š” ๋ณด๋‹ค ์ ์ ˆํ•œ ๊ธฐํš๊ณผ ์„ค๊ณ„๋ฅผ ํ•  ์ˆ˜ ์žˆ๋„๋ก, ํฐ ๊ทธ๋ฆผ์œผ๋กœ์„œ์˜ ๊ฐœ๋…์ฒด์ œ๋ฅผ ์ œ๊ณตํ•˜๊ณ ์ž ํ•˜๋Š” ๋ชฉ์ ์—์„œ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ๋จผ์ € ๊ตฌ์กฐํ™”์™€ ๋Œ€์ธ ์ƒํ˜ธ์ž‘์šฉ์ด๋ผ๋Š” ๋‘ ์ถ•์„ ๊ธฐ์ค€์œผ๋กœ ๋Œ€ํ•™ ์ด๋Ÿฌ๋‹์˜ ๊ต์ˆ˜-ํ•™์Šต ์œ ํ˜•์„ ๋ถ„๋ฅ˜ํ•˜๊ธฐ ์œ„ํ•œ ๊ฐœ๋…์  ์ค€๊ฑฐ๋ฅผ ์ œ์•ˆํ•œ ํ›„, ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ•˜์—ฌ ์ฝ˜ํ…์ธ  ๊ฐœ๋ฐœ ๋ฐ ๊ฐ•์ขŒ ์šด์˜ ์ฐจ์›์—์„œ ์ ‘๊ทผํ•œ ๋Œ€ํ•™ ์ด๋Ÿฌ๋‹ ์šด์˜์„ ์œ„ํ•œ ๊ฐœ๋…์ฒด์ œ๋ฅผ ๋„์ถœํ•˜์˜€๋‹ค. ์ฝ˜ํ…์ธ  ๊ฐœ๋ฐœ ์œ ํ˜•์€ ์žฌ์‚ฌ์šฉ, ํ…์ŠคํŠธ, ๊ฐ•์˜๋…นํ™”(VOD), ๋ฉ€ํ‹ฐ๋ฏธ๋””์–ด ์ž๋ฃŒ, ๊ฐ•์˜๋…นํ™”์™€ ๋ฉ€ํ‹ฐ๋ฏธ๋””์–ด ์ž๋ฃŒ์˜ ํ˜ผํ•ฉ, WBI, ๋น„๋””์˜ค/์˜ค๋””์˜ค ๊ฐ•์˜, ๋น„๋””์˜ค/์˜ค๋””์˜ค ๊ฐ•์˜์™€ ๋ฉ€ํ‹ฐ๋ฏธ๋””์–ด ์ž๋ฃŒ ๋“ฑ 8๊ฐ€์ง€ ์œ ํ˜•์œผ๋กœ, ๊ฐ•์ขŒ ์šด์˜ ๋ฐฉ์‹์€ ์ž์œจํ•™์Šต, ์•ˆ๋‚ด๋œ ์ž์œจํ•™์Šต, ๊ด€๋ฆฌํ˜• ์ƒํ˜ธ์ž‘์šฉ ํ•™์Šต, ํ•™์Šต์ด‰์ง„ํ˜• ์ƒํ˜ธ์ž‘์šฉ ํ•™์Šต ๋“ฑ 4๊ฐ€์ง€ ์œ ํ˜•์œผ๋กœ ๋ถ„๋ฅ˜๋˜์—ˆ๋‹ค. ์ „ ๊ณผ์ •์€ ๋Œ€ํ•™ ์ด๋Ÿฌ๋‹ ์ „๋ฌธ๊ฐ€๋“ค๋กœ ๊ตฌ์„ฑ๋œ ์ดˆ์ ์ง‘๋‹จํšŒ์˜์™€ ์ „๋ฌธ๊ฐ€ ํƒ€๋‹นํ™” ๊ณผ์ •์„ ๊ฑฐ์ณค์œผ๋ฉฐ, ์ด๋ ‡๊ฒŒ ๋„์ถœ๋œ ๊ฐœ๋…์ฒด์ œ๋ฅผ ํ˜„์‹ค์— ๋ณด๋‹ค ์‰ฝ๊ฒŒ ์ ์šฉํ•  ์ˆ˜ ์žˆ๋„๋ก ๊ฐ•์ขŒ ๋ชฉ์ ์— ๋”ฐ๋ฅธ ์ด๋Ÿฌ๋‹ ๊ฐœ๋ฐœ ๋ฐ ์šด์˜ ์œ ํ˜•์˜ ์˜ˆ๋ฅผ ์ œ์‹œํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋Œ€ํ•™์˜ ์ด๋Ÿฌ๋‹ ์ฒด์ œ๋ฅผ ์ฒด๊ณ„์ ์œผ๋กœ ์กฐ์งํ•˜๊ณ ์ž ํ•  ๋•Œ, ์ด๋Ÿฌ๋‹ ๋„์ž… ๋ชฉ์ ์— ๋”ฐ๋ฅธ ์ฝ˜ํ…์ธ  ๊ฐœ๋ฐœ ์œ ํ˜•๊ณผ ๊ฐ•์ขŒ ์šด์˜ ๋ฐฉ์‹์„ ๊ฐ€๋Š ํ•  ์ˆ˜ ์žˆ๋„๋ก ๊ฐœ๋…์  ์ดํ•ด์˜ ํ‹€๊ณผ ์ด๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ๊ตฌ์ฒด์ ์ธ ์‹คํ–‰ ๊ณ„ํš์„ ์„ธ์šธ ์ˆ˜ ์žˆ๋Š” ์‹œ์‚ฌ์ ์„ ์ œ๊ณตํ•  ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค. The purpose of this research is to develop a conceptual framework for e-Learning in higher education. First, on the theoretical basis of 'structure' and 'interpersonal interaction', the framework of 'e-learning contents development types' and 'course management types' were developed and verified. Then, according to the university's goal from e-learning, certain e-learning contents types and course management types were suggested from this conceptual framework. Research methods were previous literature analysis, focus group interviews, and experts verification. As results, e-learning content development types include [reuse / text / VOD / multimedia / VOD & multimedia / WBI] for asynchronous mode and [video conference / video conference & multimedia] for synchronous mode. Course management types include [self free learning mode, admin (login only mode), managerial tutoring mode, and highly interactive academic tutoring mode]. Depending on the purpose of each institute to adopt e-learning, such as highly advanced expert re-education, or popular general education for lifelong learning, or credit courses within a university or for interuniversity exchange program, the university can choose their own e-learning contents development types and course management types upon the conceptual framework developed in this research
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