71 research outputs found
Ultrasound is a poor predictor of early or overt liver or spleen metastasis in dogs with high-risk mast cell tumours.
Marine spatial planning: fisheries measures in a N2000 area in the Belgian Part of the North Sea
Ecological assessment of intense aggregate dredging activity on the Belgian part of the North Sea
ReMashed – Recommendation Approaches for Mash-Up Personal Learning Environments in Formal and Informal Learning Settings
This article presents the ReMashed system that recommends learning content from emerging information of a Mash-Up Personal Learning Environment. ReMashed offers advice to find most suitable learning content for individual competence development of lifelong learners. The ReMashed system was initially designed to offer navigational support to lifelong learners in informal learning settings. In this article we want to discuss its ability to be used also in formal learning settings. For this purpose, we discuss the use of two different recommendation approaches for formal and informal learning within ReMashed
Using a systematic conservation planning approach to enhance the marine spatial planning process in Europe
ReMashed – Recommendations for Mash-Up Personal Learning Environments
Drachsler, H., Pecceu, D., Arts, T., Hutten, E., Rutledge, L., Van Rosmalen, P., Hummel, H. G. K., & Koper, R. (2009). ReMashed - Recommendations for Mash-Up Personal Learning Environments. In U. Cress, V. Dimitrova & M. Specht (Eds.), Learning in the Synergy of Multiple Disciplines. Proceedings of the Fourth European Conference on Technology-Enhanced Learning (EC-TEL 2009) (pp. 788-793). September, 29 - October, 2, 2009, Nice, France. Lecture Notes in Computer Science Vol. 5794. Berlin: Springer-Verlag.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-up 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.The work on this publication has been sponsored by the TENCompetence Integrated Project that is funded by the European Commission's 6th Framework Programme, priority IST/Technology Enhanced Learning. Contract 027087 [http://www.tencompetence.org
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