Overview
- Includes the latest research on processing educational data
- Presents traditional
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 750)
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Table of contents (38 chapters)
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How to Motivate Students
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In What Order to Present the Material
Keywords
About this book
This book explains how to teach better and presents the latest research on processing educational data and presents traditional statistical techniques as well as probabilistic, interval, and fuzzy approaches. Teaching is a very rewarding activity; it is also a very difficult one – because it is largely an art. There is a lot of advice on teaching available, but it is usually informal and is not easy to follow. To remedy this situation, it is reasonable to use techniques specifically designed to handle such imprecise knowledge: the fuzzy logic techniques.
Since there are a large number of statistical studies of different teaching techniques, the authors combined statistical and fuzzy approaches to process the educational data in order to provide insights into improving all the stages of the education process: from forming a curriculum to deciding in which order to present the material to grading the assignments and exams.
The authors do not claim to have solved all the problems of education. Instead they show, using numerous examples, that an innovative combination of different uncertainty techniques can improve teaching. The book offers teachers and instructors valuable advice and provides researchers in pedagogical and fuzzy areas with techniques to further advance teaching.
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Authors and Affiliations
Bibliographic Information
Book Title: How Interval and Fuzzy Techniques Can Improve Teaching
Book Subtitle: Processing Educational Data: From Traditional Statistical Techniques to an Appropriate Combination of Probabilistic, Interval, and Fuzzy Approaches
Authors: Olga Kosheleva, Karen Villaverde
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-662-55993-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Germany 2018
Hardcover ISBN: 978-3-662-55991-8Published: 02 November 2017
Softcover ISBN: 978-3-662-57256-6Published: 04 September 2018
eBook ISBN: 978-3-662-55993-2Published: 23 October 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 362
Number of Illustrations: 1 b/w illustrations
Topics: Computational Intelligence, IT in Business, e-Commerce/e-business