Kids who have head start to Mathematical concepts (like Statistics, Probability, Algebra, Geometry, Time and Distance, Ratios, Proportionality, Real, and Functional Analysis) before grade 5, have an edge over the kids who were exposed to serious mathematical concepts after 8th grade.
Boston, MA (PRWEB) July 24, 2013
Even though American education system is very effective in producing leaders, managers, process, and thought leaders, it is behind in producing Einstein-like mathematicians (more specifically, Einstein was looking at Maths through the lens of Physics) compared to a lot of foreign countries who have a lot fewer resources.
Using a small sample size, Tutorteddy.com concluded that America is successful in finding talents like Michael Phelps, because US throws almost every American kid to water before they are 7 years old. Similar situation holds for piano; a lot of kids are challenged with difficult piano lessons before they attain a tender age of 7. However, in the case of Math, Tutorteddy's survey found, US waits until children are 14 or over before they are challenged with difficult Math problems.
Joint study by Tutorteddy and Boston Predictive Analytics empirically confirms, USA can discover more talented mathematicians if US public school system introduces probability, mathematical statistics, real and functional analysis before the age of 7. In order to do that, parents need to start very early. And if US can get 5% of the kids to start functional analysis by age 7, chances are brighter that America can produce 'Einstein-like' geniuses in a predictable way. This survey also signifies that parents have no idea about this; they will be cooperating if only they know American talent finding process for math is not as efficient as its talent finding process in the domain of swimming or piano.
Tutorteddy also found free online statistics, probability courses from MIT, Harvard, Stanford, and other universities accompanied by their own online statistics and probability help from http://tutorteddy.com/site/free_statistics_help.php can make this accelerated math training, and talent identification program more effective. Reported by PRWeb 14 hours ago.
Boston, MA (PRWEB) July 24, 2013
Even though American education system is very effective in producing leaders, managers, process, and thought leaders, it is behind in producing Einstein-like mathematicians (more specifically, Einstein was looking at Maths through the lens of Physics) compared to a lot of foreign countries who have a lot fewer resources.
Using a small sample size, Tutorteddy.com concluded that America is successful in finding talents like Michael Phelps, because US throws almost every American kid to water before they are 7 years old. Similar situation holds for piano; a lot of kids are challenged with difficult piano lessons before they attain a tender age of 7. However, in the case of Math, Tutorteddy's survey found, US waits until children are 14 or over before they are challenged with difficult Math problems.
Joint study by Tutorteddy and Boston Predictive Analytics empirically confirms, USA can discover more talented mathematicians if US public school system introduces probability, mathematical statistics, real and functional analysis before the age of 7. In order to do that, parents need to start very early. And if US can get 5% of the kids to start functional analysis by age 7, chances are brighter that America can produce 'Einstein-like' geniuses in a predictable way. This survey also signifies that parents have no idea about this; they will be cooperating if only they know American talent finding process for math is not as efficient as its talent finding process in the domain of swimming or piano.
Tutorteddy also found free online statistics, probability courses from MIT, Harvard, Stanford, and other universities accompanied by their own online statistics and probability help from http://tutorteddy.com/site/free_statistics_help.php can make this accelerated math training, and talent identification program more effective. Reported by PRWeb 14 hours ago.