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Laughbaum, Edward D. – MathAMATYC Educator, 2011
In Part Three, the author reviews the basic ideas presented in Parts One and Two while arguing why the traditional equation-solving developmental algebra curricula is not a good choice for implementing neural response strategies presented in the first two parts. He continues by showing that the developmental algebra student audience is simply…
Descriptors: Graduation Rate, Developmental Programs, Graphing Calculators, Long Term Memory
Garofalo, Joe; Trinter, Christine – NCSSSMST Journal, 2009
Most mathematical functions can be represented in numerous ways. The main representations typically addressed in school, often referred to as "the big three," are graphical, algebraic, and numerical representations, but there are others as well (e.g., diagrams, words, simulations). These different types of representations "often illuminate…
Descriptors: Mathematics, Mathematics Education, Teaching Methods, Equations (Mathematics)
Kasturiarachi, A. Bathi – International Journal of Mathematical Education in Science and Technology, 2002
Using Newton's method as an intermediate step, we introduce an iterative method that approximates numerically the solution of f(x) = 0. The method is essentially a leap-frog Newton's method. The order of convergence of the proposed method at a simple root is cubic and the computational efficiency in general is less, but close to that of Newton's…
Descriptors: Algebra, Graphing Calculators, Mathematics, Mathematics Education

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