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Recommender systems for learning

저자: Nikos Manouselis; et al
출판사: New York : Springer, ©2013.
시리즈: SpringerBriefs in electrical and computer engineering.
판/형식:   전자도서 : 문서 : 영어모든 판과 형식 보기
데이터베이스:WorldCat
요약:
Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers  더 읽기…
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장르/형태: Electronic books
추가적인 물리적 형식: Print version:
Recommender systems for learning.
New York : Springer, c2013
(OCoLC)793571937
자료 유형: 문서, 인터넷 자료
문서 형식: 인터넷 자원, 컴퓨터 파일
모든 저자 / 참여자: Nikos Manouselis; et al
ISBN: 9781461443612 146144361X
OCLC 번호: 809543571
설명: 1 online resource (76 p.)
내용: Introduction and Background --
TEL as a Recommendation Context --
Survey and Analysis of TEL Recommender Systems --
Challenges and Outlook.
일련 제목: SpringerBriefs in electrical and computer engineering.
책임: Nikos Manouselis ... [et al.].
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초록:

Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that support and enhance learning practices of individuals and organisations. This brief offers an  더 읽기…

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