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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.
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.
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.
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Data Driven Approaches in Digital Education - 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Tallinn, Estonia, September 12-15, 2017, Proceedings (Paperback, 1st ed. 2017)
Elise Lavoue, Hendrik Drachsler, Katrien Verbert, Julien Broisin, Mar Perez-Sanagustin
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R3,495
Discovery Miles 34 950
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Ships in 10 - 15 working days
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This book constitutes the proceedings of the 12th European
Conference on Technology Enhanced Learning, EC-TEL 2017, held in
Tallinn, Estonia, in September 2017. The 24 full papers, 23 short
papers, 6 demo papers, and 22 poster papers presented in this
volume were carefully reviewed and selected from 141 submissions.
The theme for the 12th EC-TEL conference on Data Driven Approaches
in Digital Education' aims to explore the multidisciplinary
approaches thateectively illustrate how data-driven education
combined with digital education systems can look like and what are
the empirical evidences for the use of datadriven tools in
educational practices.
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Adaptive and Adaptable Learning - 11th European Conference on Technology Enhanced Learning, EC-TEL 2016, Lyon, France, September 13-16, 2016, Proceedings (Paperback, 1st ed. 2016)
Katrien Verbert, Mike Sharples, Tomaz Klobucar
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R2,833
Discovery Miles 28 330
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Ships in 10 - 15 working days
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This book constitutes the proceedings of the 11th European
Conference on Technology Enhanced Learning, EC-TEL 2016, held in
Lyon, France, in September 2016. The 26 full papers, 23 short
papers, 8 demo papers, and 33 poster papers presented in this
volume were carefully reviewed and selected from 148 submissions.
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