Guide to Teaching Puzzle-based Learning
Puzzle-based Learning is a foundational approach to develop the critical thinking skills and mental stamina essential for solving real-world problems.This Guide to Teaching Puzzle-based Learning provides invaluable insights drawn from the authors’ extensi
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Edwin F. Meyer III Nickolas Falkner · Raja Sooriamurthi Zbigniew Michalewicz
Guide to Teaching Puzzle-based Learning
Undergraduate Topics in Computer Science
Undergraduate Topics in Computer Science (UTiCS) delivers high-quality instructional content for undergraduates studying in all areas of computing and information science. From core foundational and theoretical material to final-year topics and applications, UTiCS books take a fresh, concise, and modern approach and are ideal for self-study or for a one- or two-semester course. The texts are all authored by established experts in their fields, reviewed by an international advisory board, and contain numerous examples and problems. Many include fully worked solutions.
For further volumes: http://www.springer.com/series/7592
Edwin F. Meyer III • Nickolas Falkner • Raja Sooriamurthi • Zbigniew Michalewicz
Guide to Teaching Puzzle-based Learning
Edwin F. Meyer III Baldwin Wallace University Berea, Ohio, USA
Nickolas Falkner University of Adelaide South Australia, Australia
Raja Sooriamurthi Carnegie Mellon University Pittsburgh, Pennsylvania, USA
Zbigniew Michalewicz University of Adelaide South Australia, Australia
Series Editor Ian Mackie Advisory Board Samson Abramsky, University of Oxford, Oxford, UK Karin Breitman, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil Chris Hankin, Imperial College London, London, UK Dexter Kozen, Cornell University, Ithaca, USA Andrew Pitts, University of Cambridge, Cambridge, UK Hanne Riis Nielson, Technical University of Denmark, Kongens Lyngby, Denmark Steven Skiena, Stony Brook University, Stony Brook, USA Iain Stewart, University of Durham, Durham, UK
ISSN 1863-7310 ISSN 2197-1781 (electronic) Undergraduate Topics in Computer Science ISBN 978-1-4471-6475-3 ISBN 978-1-4471-6476-0 (eBook) DOI 10.1007/978-1-4471-6476-0 Springer London Heidelberg New York Dordrecht Library of Congress Control Number: 2014941623 # Springer-Verlag London 2014 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. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution
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