Titlebook: Mathematical Literacy on Statistical Measures; A Design Research St Christian Büscher Book 2018 Springer Fachmedien Wiesbaden GmbH, part of

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书目名称Mathematical Literacy on Statistical Measures影响因子(影响力)




书目名称Mathematical Literacy on Statistical Measures影响因子(影响力)学科排名




书目名称Mathematical Literacy on Statistical Measures网络公开度




书目名称Mathematical Literacy on Statistical Measures网络公开度学科排名




书目名称Mathematical Literacy on Statistical Measures被引频次




书目名称Mathematical Literacy on Statistical Measures被引频次学科排名




书目名称Mathematical Literacy on Statistical Measures年度引用




书目名称Mathematical Literacy on Statistical Measures年度引用学科排名




书目名称Mathematical Literacy on Statistical Measures读者反馈




书目名称Mathematical Literacy on Statistical Measures读者反馈学科排名

会议

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Christian Büschers 10 year project began with a very strong emphasis on the idea of building a computer model of the brain but was re-orientated to have a more realistic balanced research objective that included more practical neuroscience. An analysis of some of this research shows quite clearly that it involves is

预知

Christian Büscher from the full name of the US project—the .rain .esearch through .dvancing .nnovative .euroechnologies—BRAIN Initiative that the underlying aim was to develop new technologies for brain research, but the project also had a well-crafted biological research programme designed to advance knowledge of t

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ncepts. Chapter 6 describes the prominent neuroscience modeling methods in simple, straightforward terms that anyone can understand, including Bayesian inference, Stochastic estimation, optimal control, the Markov chain, and the Bellman equation. Some mathematically based models of the brain are als

DAUNT

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Methodology,can be initiated by a carefully designed teaching-learning arrangement. For this purpose, the Design Research framework is suitable which is introduced ub Section 6.1. Section 6.2 provides an overview on the participants and the methods of data collection. The method of data analysis is then described in Section 6.3.

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Conclusions,in a limited number of lessons (Chapter .). This lead to an investigation into the normative aims of mathematics and statistics education in order to identify the concepts learners need to develop (Chapter .). Drawing on the framework of mathematical literacy, two sides of mathematical literacy were identified (Section 2.1).

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https://doi.org/10.1007/978-3-658-23069-2Mathematical Literacy; Statistical Literacy; Statistics Education; Mathematics Education; Teaching-Learn