How Interval and Fuzzy Techniques Can Improve Teaching | Processing Educational Data: From Traditional Statistical Techniques to an Appropriate Combination of Probabilistic, Interval, and Fuzzy Approaches

Karen Villaverde (u. a.)

ISBN 10: 3662572567 / ISBN 13: 9783662572566

Published by Springer Berlin, 2018

About this Item

How Interval and Fuzzy Techniques Can Improve Teaching | Processing Educational Data: From Traditional Statistical Techniques to an Appropriate Combination of Probabilistic, Interval, and Fuzzy Approaches | Karen Villaverde (u. a.) | Taschenbuch | x | Englisch | 2018 | Springer Berlin | EAN 9783662572566 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 115380083

Bibliographic Details

• Title: How Interval and Fuzzy Techniques Can Improve Teaching | Processing Educational Data: From Traditional Statistical Techniques to an Appropriate Combination of Probabilistic, Interval, and Fuzzy Approaches
• Publisher: Springer Berlin
• Publication Date: 2018
• Language: English
• ISBN 10: 3662572567
• ISBN 13: 9783662572566
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 21D millimeters 235 millimeters width by 155 millimeters height by 21 millimeters depth
• Weight: 563 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Includes the latest research on processing educational data

Presents traditional

Written by leading experts in the field

From the Back Cover

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.