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2018 | OriginalPaper | Buchkapitel

11. How to Enhance Student Motivations by Borrowing from Modern Practices: Can We Learn Algorithms from People Who Compute Fast

verfasst von : Olga Kosheleva, Karen Villaverde

Erschienen in: How Interval and Fuzzy Techniques Can Improve Teaching

Verlag: Springer Berlin Heidelberg

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Abstract

In the previous chapter, we showed how to use usual modern practices when teaching math. In this chapter, we focus on unusual modern practices, namely, on the ability of some people to perform calculations unusually fast. In the past, mathematicians actively used this ability. With the advent of computers, there is no longer need for human calculators – even fast ones. However, recently, it was discovered that there exist, e.g., multiplication algorithms which are much faster than standard multiplication. Because of this discovery, it is possible than even faster algorithms will be discovered. It is therefore natural to ask: did fast human calculators of the past use faster algorithms – in which case we can learn from their experience – or they simply performed all operations within a standard algorithm much faster? This question is difficult to answer directly, because the fast human calculators’ self-description of their algorithm is very fuzzy. In this chapter, we use an indirect analysis to argue that fast human calculators most probably used the standard algorithm.

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Metadaten
Titel
How to Enhance Student Motivations by Borrowing from Modern Practices: Can We Learn Algorithms from People Who Compute Fast
verfasst von
Olga Kosheleva
Karen Villaverde
Copyright-Jahr
2018
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-55993-2_11