Recommender Systems for Learning

Recommender Systems for Learning
Author: Nikos Manouselis
Publisher: Springer Science & Business Media
Total Pages: 85
Release: 2012-08-28
Genre: Computers
ISBN: 146144361X


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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.


Recommender Systems for Learning
Language: en
Pages: 85
Authors: Nikos Manouselis
Categories: Computers
Type: BOOK - Published: 2012-08-28 - Publisher: Springer Science & Business Media

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Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individu
Educational Recommender Systems and Technologies
Language: en
Pages: 344
Authors: Olga C. Santos
Categories: Educational technology
Type: BOOK - Published: 2012 - Publisher:

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"This book aims to provide a comprehensive review of state-of-the-art practices for educational recommender systems, as well as the challenges to achieve their
Recommender System with Machine Learning and Artificial Intelligence
Language: en
Pages: 448
Authors: Sachi Nandan Mohanty
Categories: Computers
Type: BOOK - Published: 2020-07-08 - Publisher: John Wiley & Sons

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This book is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, info
Recommender Systems
Language: en
Pages: 518
Authors: Charu C. Aggarwal
Categories: Computers
Type: BOOK - Published: 2016-03-28 - Publisher: Springer

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This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their pr
Machine Learning Approaches for Improvising Modern Learning Systems
Language: en
Pages: 336
Authors: Gulzar, Zameer
Categories: Education
Type: BOOK - Published: 2021-05-14 - Publisher: IGI Global

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Technology is currently playing a vital role in revolutionizing education systems and progressing academia into the digital age. Technological methods including