ReMashed - Recommendations for Mash-Up Personal Learning Environments

被引：28

作者：

Drachsler, Hendrik ^{[1
]}

Pecceu, Dries ^{[2
]}

Arts, Tanja ^{[2
]}

Hutten, Edwin ^{[2
]}

Rutledge, Lloyd ^{[2
]}

van Rosmalen, Peter ^{[1
]}

Hummel, Hans ^{[1
]}

Koper, Rob ^{[1
]}

机构：

[1] Open Univ Netherlands, Ctr Learning Sci & Technol, NL-6401 DL Heerlen, Netherlands

[2] Open Univ Netherlands, Comp Sci Dept, NL-6401 DL Heerlen, Netherlands

来源：

LEARNING IN THE SYNERGY OF MULTIPLE DISCIPLINES, PROCEEDINGS | 2009年 / 5794卷

关键词：

recommender system; mash-up; personalisation; personal learning environments; MUPPLE; informal learning; emergence; learning networks;

D O I：

10.1007/978-3-642-04636-0_85

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The following article presents a Mash-Up Personal Learning Environment called ReMashed that recommends learning resources from emerging information of a Learning Network. In ReMashed learners can specify certain Web2.0 services and combine them in a Mash-Up Personal Learning Environment. Learners can rate information from an emerging amount of Web2.0 information of a Learning Network and train a recommender system for their particular needs. ReMashed therefore has three main objectives: 1. to provide a recommender system for Mash-LIP Personal Learning Environments to learners, 2. to offer an environment for testing new recommendation approaches and methods for researchers, and 3. to create informal user-generated content data sets that are needed to evaluate new recommendation algorithms for learners in informal Learning Networks.

引用

页码：788 / +

页数：2

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