Recommender Systems for Learning Recommender Systems for Learning

Recommender Systems for Learning

Nikos Manouselis والمزيد
    • ‏49٫99 US$
    • ‏49٫99 US$

وصف الناشر

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.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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٢٨ أغسطس
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer New York
البائع
Springer Nature B.V.
الحجم
١
‫م.ب.‬
Sustaining TEL: From Innovation to Learning and Practice Sustaining TEL: From Innovation to Learning and Practice
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Towards Ubiquitous Learning Towards Ubiquitous Learning
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Third International Conference on Software, Services & Semantic Technologies S3T 2011 Third International Conference on Software, Services & Semantic Technologies S3T 2011
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The Adaptive Web The Adaptive Web
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Semantic Methods for Execution-level Business Process Modeling Semantic Methods for Execution-level Business Process Modeling
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Web-based Support Systems Web-based Support Systems
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