Overview
- Reviews the state of the art in teaching algorithms and classic metaphors in computer science
- Introduces new, inventive ways of teaching algorithms
- Presents the results within the broader context of computer science education and popularization
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (4 chapters)
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Front Matter
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Back Matter
Keywords
About this book
There is a significant difference between designing a new algorithm, proving its correctness, and teaching it to an audience. When teaching algorithms, the teacher's main goal should be to convey the underlying ideas and to help the students form correct mental models related to the algorithm. This process can often be facilitated by using suitable metaphors. This work provides a set of novel metaphors identified and developed as suitable tools for teaching many of the "classic textbook" algorithms taught in undergraduate courses worldwide. Each chapter provides exercises and didactic notes for teachers based on the authors’ experiences when using the metaphor in a classroom setting.
Reviews
From the reviews:
“This booklet is divided into four chapters, making it easy to follow the basic semiotics of the symbols used in the algorithms. … The book concludes with an appendix containing the solutions to the exercises in the chapters. … Anyone interested in teaching algorithms should read this valuable booklet. It includes appropriate text structure, easy-to-follow examples, discussions, and proposals, and could be of use to computer programming teachers and computer programmers looking to improve their programming skills.” (F. J. Ruzic, Computing Reviews, August, 2013)Authors and Affiliations
Bibliographic Information
Book Title: Explaining Algorithms Using Metaphors
Authors: Michal Forišek, Monika Steinová
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-1-4471-5019-0
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag London Ltd., part of Springer Nature 2013
Softcover ISBN: 978-1-4471-5018-3Published: 20 April 2013
eBook ISBN: 978-1-4471-5019-0Published: 09 April 2013
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: X, 94
Number of Illustrations: 59 b/w illustrations
Topics: Computers and Education, Science Education