Recommender Systems for Technology Enhanced Learning is popular PDF and ePub book, written by Nikos Manouselis in 2014-04-12, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Recommender Systems for Technology Enhanced Learning can be Read Online from any device for your convenience.
Recommender Systems for Technology Enhanced Learning Book PDF Summary
As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years. Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices. Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated.
Detail Book of Recommender Systems for Technology Enhanced Learning PDF
- Author : Nikos Manouselis
- Release : 12 April 2014
- Publisher : Springer Science & Business Media
- ISBN : 9781493905300
- Genre : Computers
- Total Page : 309 pages
- Language : English
- PDF File Size : 8,5 Mb
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