The Blended Learning Concept: Comparative Study of Two Universities
The paper introduces the results of comparative study of the blended learning concept of two higher education institutions – University of Ostrava, Faculty of education and University of Hradec Kralove, Faculty of Informatics and Management, Czech Republi
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Simon K.S. Cheung · Lam-for Kwok Junjie Shang · Aihua Wang Reggie Kwan (Eds.)
Blended Learning Aligning Theory with Practices 9th International Conference, ICBL 2016 Beijing, China, July 19–21, 2016 Proceedings
123
Lecture Notes in Computer Science Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen
Editorial Board David Hutchison Lancaster University, Lancaster, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Zürich, Switzerland John C. Mitchell Stanford University, Stanford, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen TU Dortmund University, Dortmund, Germany Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max Planck Institute for Informatics, Saarbrücken, Germany
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More information about this series at http://www.springer.com/series/7407
Simon K.S. Cheung Lam-for Kwok Junjie Shang Aihua Wang Reggie Kwan (Eds.) •
•
Blended Learning Aligning Theory with Practices 9th International Conference, ICBL 2016 Beijing, China, July 19–21, 2016 Proceedings
123
Editors Simon K.S. Cheung The Open University of Hong Kong Hong Kong SAR China
Aihua Wang Peking University Beijing China
Lam-for Kwok City University of Hong Kong Hong Kong SAR China
Reggie Kwan Caritas Institute of Higher Education Hong Kong SAR China
Junjie Shang Peking University Beijing China
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-319-41164-4 ISBN 978-3-319-41165-1 (eBook) DOI 10.1007/978-3-319-41165-1 Library of Congress Control Number: 2016942031 LNCS Sublibrary: SL1 – Theoretical Computer Science and General Issues © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained her
