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These types of partnerships facilitated ready adaptation and use of biomathematical and computational tools, such as those found at the NSF-sponsored Digital Library (NSDL) portals, Excel Simulations and Tools for Exploratory Mathematics (ESTEEM), and Case-It! projects.
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Two projects that use this approach are introduced: The Biological Excel Simulations and Tools in Exploratory, Experiential Mathematics (ESTEEM) Project (http://bioquest.org/esteem) and Numerical Undergraduate Mathematical Biology Education (NUMB3R5 COUNT; http://bioquest.org/numberscount).org/numberscount
Herein, we introduce such tools and accompanying teaching strategies developed and piloted as part of the Biological ESTEEM Collection (Excel Simulations and Tools for Exploratory, Experiential Mathematics) [ 10], an online suite of Excel-based modules for open-ended investigations in introductory-level mathematical and computational biology.
Prior literature has provided many insightful conclusions about the effectiveness of exploratory computer programs on mathematics students' achievement.
A pilot experience for exploratory purposes was developed with Mathematics I for engineering students during May 2013.
Respectively, simulations and exploratory environments were joined with mathematics.
This meta-analysis, to a certain extent, exposed the focus of the existing primary studies on the effects of exploratory environments on problem solving in mathematics education.
It can thus be deduced that using exploratory environments as a medium of support in the teaching of mathematics has a significant impact on students' mathematics concept understanding when compared to conventional methods of teaching.
For students whose curriculum stresses the exploratory data analysis approach, probability has become an upper-division mathematics elective, such that even the few biology students who take it are unlikely to do so before exposure in genetics.
This paper reports results of an exploratory study examining factors that might be associated with achievement in mathematics, natural sciences and engineering determining girls' career choices.
The results of exploratory and confirmatory factor analyses identify 5 key creative behaviours in mathematics: representation invention, component association, outcome improvement, alternative curiosity, and space imagination.
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