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Recommender systems for learning

著者: Nikos Manouselis; et al
出版商: New York : Springer, ©2013.
丛书: SpringerBriefs in electrical and computer engineering.
版本/格式:   电子图书 : 文献 : 英语查看所有的版本和格式
数据库:WorldCat
提要:
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  再读一些...
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类型/形式: Electronic books
附加的形体格式: Print version:
Recommender systems for learning.
New York : Springer, c2013
(OCoLC)793571937
材料类型: 文献, 互联网资源
文件类型: 互联网资源, 计算机文档
所有的著者/提供者: Nikos Manouselis; et al
ISBN: 9781461443612 146144361X
OCLC号码: 809543571
描述: 1 online resource (76 p.)
内容: Introduction and Background --
TEL as a Recommendation Context --
Survey and Analysis of TEL Recommender Systems --
Challenges and Outlook.
丛书名: SpringerBriefs in electrical and computer engineering.
责任: Nikos Manouselis ... [et al.].
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摘要:

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  再读一些...

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