빅데이터기반 교육 솔루션 - 편집 역사

2023년 5월 16일 (화) 01:29에 최원재님의 편집

2023-05-16T01:29:01Z

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2023-05-09T14:45:06Z

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2023-05-09T14:37:32Z

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2023년 5월 9일 (화) 13:27에 최원재님의 편집

2023-05-09T13:27:37Z

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2023-05-09T08:15:07Z

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2023-05-09T07:55:21Z

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2023-05-09T07:51:57Z

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2023-05-09T07:28:42Z

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2023-05-09T07:22:44Z

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2023-05-09T07:12:48Z

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← 이전 판		2023년 5월 16일 (화) 01:29 판
187번째 줄:		187번째 줄:

	60. [https://www.kci.go.kr/kciportal/po/search/poTotalSearList.kci 섀도잉] 검색창에 '섀도잉'을 쳐보세요.		60. [https://www.kci.go.kr/kciportal/po/search/poTotalSearList.kci 섀도잉] 검색창에 '섀도잉'을 쳐보세요.
		+
		+	61. [https://www.joongang.co.kr/article/21240159#home 아이린으로 본 '조선 붕당정치’의 이해...“갈색머리는 사문난적”]

← 이전 판		2023년 5월 9일 (화) 14:45 판
186번째 줄:		186번째 줄:
	Furthermore, shadowing might not be effective when it is solely used to improve L2 speaking ability. In this study, no interactive activity followed the shadowing. Shadowing is relatively artificial and is not a real-life communicative task. Bailey(2005) rightly points out that “rigidly controlled practice does not necessarily prepare learners for the spontaneous, fluid interaction that occurs outside the English classroom (p. 18). Therefore, it would be appropriate to support shadowing with constructive tasks to contribute to general L2 speaking ability improvement.		Furthermore, shadowing might not be effective when it is solely used to improve L2 speaking ability. In this study, no interactive activity followed the shadowing. Shadowing is relatively artificial and is not a real-life communicative task. Bailey(2005) rightly points out that “rigidly controlled practice does not necessarily prepare learners for the spontaneous, fluid interaction that occurs outside the English classroom (p. 18). Therefore, it would be appropriate to support shadowing with constructive tasks to contribute to general L2 speaking ability improvement.

−	60. [https://www.kci.go.kr/kciportal/po/search/poTotalSearList.kci 섀도잉]	+	60. [https://www.kci.go.kr/kciportal/po/search/poTotalSearList.kci 섀도잉] 검색창에 '섀도잉'을 쳐보세요.

← 이전 판		2023년 5월 9일 (화) 14:37 판
183번째 줄:		183번째 줄:

	59. [https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART001481370 The Effect of Shadowing on English Listening and Speaking Abilities of Korean Middle School Students]		59. [https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART001481370 The Effect of Shadowing on English Listening and Speaking Abilities of Korean Middle School Students]
		+
		+	Furthermore, shadowing might not be effective when it is solely used to improve L2 speaking ability. In this study, no interactive activity followed the shadowing. Shadowing is relatively artificial and is not a real-life communicative task. Bailey(2005) rightly points out that “rigidly controlled practice does not necessarily prepare learners for the spontaneous, fluid interaction that occurs outside the English classroom (p. 18). Therefore, it would be appropriate to support shadowing with constructive tasks to contribute to general L2 speaking ability improvement.
		+
		+	60. [https://www.kci.go.kr/kciportal/po/search/poTotalSearList.kci 섀도잉]

← 이전 판		2023년 5월 9일 (화) 13:27 판
181번째 줄:		181번째 줄:

	58. [https://www.researchgate.net/publication/274890131_The_Use_of_Big_Data_in_Education The Use of Big Data in Education]		58. [https://www.researchgate.net/publication/274890131_The_Use_of_Big_Data_in_Education The Use of Big Data in Education]
		+
		+	59. [https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART001481370 The Effect of Shadowing on English Listening and Speaking Abilities of Korean Middle School Students]

← 이전 판		2023년 5월 9일 (화) 08:15 판
173번째 줄:		173번째 줄:

	OLAP란? OLAP(Online Analytical Processing)는 데이터 웨어하우스, 데이터 마트 또는 기타 중앙화된 통합 데이터 저장소의 대용량 데이터를 고속으로 다차원 분석하는 소프트웨어.		OLAP란? OLAP(Online Analytical Processing)는 데이터 웨어하우스, 데이터 마트 또는 기타 중앙화된 통합 데이터 저장소의 대용량 데이터를 고속으로 다차원 분석하는 소프트웨어.
		+
		+	[https://www.ciokorea.com/news/225564 분석을 위해 등장한 데이터베이스··· OLAP 따라잡기]

	56. [https://forbytes.com/blog/use-of-big-data-in-education/ Big Data in Education. How It Transforms the Industry?]		56. [https://forbytes.com/blog/use-of-big-data-in-education/ Big Data in Education. How It Transforms the Industry?]

← 이전 판		2023년 5월 9일 (화) 07:55 판
168번째 줄:		168번째 줄:

	[https://cloud.google.com/learn/what-is-a-data-warehouse?hl=ko 데이터 웨어하우스]		[https://cloud.google.com/learn/what-is-a-data-warehouse?hl=ko 데이터 웨어하우스]
		+
		+	[http://eprints.rclis.org/30201/1/Design-and-Implementation-of-Educational-Data-Warehouse-Using-OLAP.pdf Design and Implementation of Educational
		+	Data Warehouse Using OLAP ]
		+
		+	OLAP란? OLAP(Online Analytical Processing)는 데이터 웨어하우스, 데이터 마트 또는 기타 중앙화된 통합 데이터 저장소의 대용량 데이터를 고속으로 다차원 분석하는 소프트웨어.

	56. [https://forbytes.com/blog/use-of-big-data-in-education/ Big Data in Education. How It Transforms the Industry?]		56. [https://forbytes.com/blog/use-of-big-data-in-education/ Big Data in Education. How It Transforms the Industry?]

@@ 166번째 줄: / 166번째 줄: @@
 ) What research themes have been addressed in big data in education domain?
 ) What are the limitations and possible future directions?
 . [https://forbytes.com/blog/use-of-big-data-in-education/ Big Data in Education. How It Transforms the Industry?]

← 이전 판		2023년 5월 9일 (화) 07:28 판
161번째 줄:		161번째 줄:

	However, the educational sector is not an exception in this situation. In the educational realm, a large volume of data is produced through online courses, teaching and learning activities (Oi, Yamada, Okubo, Shimada, & Ogata, 2017). With the advent of big data, now teachers can access student’s academic performance, learning patterns and provide instant feedback (Black & Wiliam, 2018). The timely and constructive feedback motivates and satisfies the students, which gives a positive impact on their performance (Zheng & Bender, 2019). Academic data can help teachers to analyze their teaching pedagogy and affect changes according to students’ needs and requirement. Many online educational sites have been designed, and multiple courses based on individual student preferences have been introduced (Holland, 2019). The improvement in the educational sector depends upon acquisition and technology. The large-scale administrative data can play a tremendous role in managing various educational problems(Sorensen, 2018). Therefore, it is essential for professionals to understand the effectiveness of big data in education in order to minimize educational issues.		However, the educational sector is not an exception in this situation. In the educational realm, a large volume of data is produced through online courses, teaching and learning activities (Oi, Yamada, Okubo, Shimada, & Ogata, 2017). With the advent of big data, now teachers can access student’s academic performance, learning patterns and provide instant feedback (Black & Wiliam, 2018). The timely and constructive feedback motivates and satisfies the students, which gives a positive impact on their performance (Zheng & Bender, 2019). Academic data can help teachers to analyze their teaching pedagogy and affect changes according to students’ needs and requirement. Many online educational sites have been designed, and multiple courses based on individual student preferences have been introduced (Holland, 2019). The improvement in the educational sector depends upon acquisition and technology. The large-scale administrative data can play a tremendous role in managing various educational problems(Sorensen, 2018). Therefore, it is essential for professionals to understand the effectiveness of big data in education in order to minimize educational issues.
		+
		+	The research questions of this study are stated below:
		+	1) What are the trends in the papers published on big data in education?
		+	2) What research themes have been addressed in big data in education domain?
		+	3) What are the limitations and possible future directions?

	56. [https://forbytes.com/blog/use-of-big-data-in-education/ Big Data in Education. How It Transforms the Industry?]		56. [https://forbytes.com/blog/use-of-big-data-in-education/ Big Data in Education. How It Transforms the Industry?]

← 이전 판		2023년 5월 9일 (화) 07:22 판
159번째 줄:		159번째 줄:

	55-1. [https://www.eecis.udel.edu/~amer/Table-Kilo-Mega-Giga---YottaBytes.html 테라바이트]		55-1. [https://www.eecis.udel.edu/~amer/Table-Kilo-Mega-Giga---YottaBytes.html 테라바이트]
		+
		+	However, the educational sector is not an exception in this situation. In the educational realm, a large volume of data is produced through online courses, teaching and learning activities (Oi, Yamada, Okubo, Shimada, & Ogata, 2017). With the advent of big data, now teachers can access student’s academic performance, learning patterns and provide instant feedback (Black & Wiliam, 2018). The timely and constructive feedback motivates and satisfies the students, which gives a positive impact on their performance (Zheng & Bender, 2019). Academic data can help teachers to analyze their teaching pedagogy and affect changes according to students’ needs and requirement. Many online educational sites have been designed, and multiple courses based on individual student preferences have been introduced (Holland, 2019). The improvement in the educational sector depends upon acquisition and technology. The large-scale administrative data can play a tremendous role in managing various educational problems(Sorensen, 2018). Therefore, it is essential for professionals to understand the effectiveness of big data in education in order to minimize educational issues.

	56. [https://forbytes.com/blog/use-of-big-data-in-education/ Big Data in Education. How It Transforms the Industry?]		56. [https://forbytes.com/blog/use-of-big-data-in-education/ Big Data in Education. How It Transforms the Industry?]

← 이전 판		2023년 5월 9일 (화) 07:12 판
157번째 줄:		157번째 줄:

	55. [https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-020-00223-0 Big data in education: a state of the art, limitations, and future research directions]		55. [https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-020-00223-0 Big data in education: a state of the art, limitations, and future research directions]
		+
		+	55-1. [https://www.eecis.udel.edu/~amer/Table-Kilo-Mega-Giga---YottaBytes.html 테라바이트]

	56. [https://forbytes.com/blog/use-of-big-data-in-education/ Big Data in Education. How It Transforms the Industry?]		56. [https://forbytes.com/blog/use-of-big-data-in-education/ Big Data in Education. How It Transforms the Industry?]