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Recommender systems for learning

作者: Nikos Manouselis; et al
出版商: New York : Springer, ©2013.
叢書: SpringerBriefs in electrical and computer engineering.
版本/格式:   電子書 : 文獻 : 英語所有版本和格式的總覽
資料庫: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  再讀一些...
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類型/形式: Electronic books
其他的實體格式: Print version:
Recommender systems for learning.
New York : Springer, c2013
(OCoLC)793571937
資料類型: 文獻, 網際網路資源
文件類型: 網路資源, 電腦資料
所有的作者/貢獻者: Nikos Manouselis; et al
ISBN: 9781461443612 146144361X
OCLC系統控制編碼: 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.
叢書名: SpringerBriefs in electrical and computer engineering.
責任: Nikos Manouselis ... [et al.].
更多資訊:

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  再讀一些...

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