[精品图书]Recommender Systems for Learning Springer(47 Pages Only )

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

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 or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains.

Content Level » Research

Keywords » Recommender systems - TEL datasets - personalization - recommendation algorithms - technology enhanced learning (TEL)

Related subjects » Education & Language - Information Systems and Applications

TABLE OF CONTENTS / PREFACE / SAMPLE PAGES

• Download Table of contents (pdf, 68 kB)
• Download Preface 1 (pdf, 52 kB)
• Download Sample pages 2 (pdf, 346 kB)
  

本帖隐藏的内容

Recommender Systems for Learning Springer 2012.pdf (997.55 KB)

2015-2-5 23:00:59 上传

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏0 回帖

关键词：Recommender Recommend Learning Springer commend activities resources searching therefore learning

谢谢楼主分享！！

Lisrelchen 发表于 2015-2-5 23:03
Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that  ...

谢谢分享