Editors:
- Latest research on Methodologies and Intelligent Systems for Technology Enhanced Learning
- Results of the International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning held at University of Salamanca (Spain), 4th-6th June, 2014
- Focuses on the increasing role of intelligent systems to shape Technology Enhanced Learning for knowledge societies
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 292)
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Table of contents (25 papers)
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Back Matter
About this book
This volume presents recent research on Methodologies and Intelligent Systems for Technology Enhanced Learning. It contains the contributions of ebuTEL 2013 conference which took place in Trento, Italy, on September, 16th 2013 and of mis4TEL 2014 conference, which took take place in Salamanca, Spain, on September, 4th-6th 2014.
This conference series are an open forum for discussing intelligent systems for Technology Enhanced Learning and empirical methodologies for its design or evaluation.
Editors and Affiliations
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Department of Electric and Information Engineering, Monteluco di Roio, University of L’Aquila, L’Aquila, Italy
Tania Di Mascio
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Computer Science Faculty, Free University of Bozen-Bolzano, Bolzano, Italy
Rosella Gennari
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Department of Internal Medicine and Public Health, University of L'Aquila, L'Aquila, Italy
Pierpaolo Vitorini
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Informatics Institute, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
Rosa Vicari
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University of Salamanca, Salamanca, Spain
Fernando de la Prieta
Bibliographic Information
Book Title: Methodologies and Intelligent Systems for Technology Enhanced Learning
Editors: Tania Di Mascio, Rosella Gennari, Pierpaolo Vitorini, Rosa Vicari, Fernando de la Prieta
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-07698-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-07697-3Published: 16 June 2014
eBook ISBN: 978-3-319-07698-0Published: 23 May 2014
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XIV, 207
Number of Illustrations: 49 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Computational Biology/Bioinformatics
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