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Showing 1 to 15 of 17 results Save | Export
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Craig J. Cullen; Lawrence Ssebaggala; Amanda L. Cullen – Mathematics Teacher: Learning and Teaching PK-12, 2024
In this article, the authors share their favorite "Construct It!" activity, which focuses on rate of change and functions. The initial approach to instruction was procedural in nature and focused on making use of formulas. Specifically, after modeling how to find the slope of the line given two points and use it to solve for the…
Descriptors: Models, Mathematics Instruction, Teaching Methods, Generalization
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Venkat, Hamsa; Askew, Mike; Watson, Anne; Mason, John – For the Learning of Mathematics, 2019
In this paper, we provide an elaboration of the notion of mathematical structure -- a term agreed upon as valuable but difficult to define. We pull apart the terminology surrounding the notion of structure in mathematics: relationship, generalising/generalisation and properties, and offer an architecture of structure that distinguishes and…
Descriptors: Mathematics Instruction, Mathematical Concepts, Algebra, Mathematical Formulas
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Mihai, Claudiu; Mihai, Vochita – Research & Teaching in Developmental Education, 2017
An introductory course in algebra may cover various types of polynomial manipulation, here we cover the background of these topics and a relatively unknown property of polynomials, namely Viete's relations. We define relevant operations and properties of polynomials over the real numbers as well as their algebraic forms, divisibility properties,…
Descriptors: Algebra, Introductory Courses, Mathematics Instruction, Correlation
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Hayes, Kevin – Teaching Statistics: An International Journal for Teachers, 2012
This article provides an easy derivation of updating formulae for the sample covariance and, by extension, for the Pearson product-moment correlation coefficient.
Descriptors: Correlation, Statistical Analysis, Mathematical Formulas, Sampling
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Talbot, Christopher; Yap, Lydia – School Science Review, 2013
This "Science Note" presents a study by Christopher Talbot and Lydia Yap, who teach IB Chemistry at Anglo-Chinese School (Independent), Republic of Singapore, to pre-university students. Pre-university students may postulate the correlation between the magnitude of the lattice enthalpy compound and its melting point, since both…
Descriptors: Science Instruction, Secondary School Science, Correlation, Foreign Countries
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Marshman, Margaret – Australian Mathematics Teacher, 2014
Within the "Australian Curriculum: Mathematics" the Understanding proficiency strand states, "Students build understanding when they connect related ideas, when they represent concepts in different ways, when they identify commonalities and differences between aspects of content, when they describe their thinking mathematically and…
Descriptors: Foreign Countries, Concept Mapping, Secondary School Mathematics, Secondary School Students
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Gordon, Sheldon P.; Gordon, Florence S. – International Journal of Mathematical Education in Science and Technology, 2010
One of the most important applications of the definite integral in a modern calculus course is the mean value of a function. Thus, if a function "f" is defined on an interval ["a", "b"], then the mean, or average value, of "f" is given by [image omitted]. In this note, we will investigate the meaning of other statistics associated with a function…
Descriptors: Intervals, Statistics, Calculus, Mathematics Instruction
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Kreiner, Svend – Applied Psychological Measurement, 2011
To rule out the need for a two-parameter item response theory (IRT) model during item analysis by Rasch models, it is important to check the Rasch model's assumption that all items have the same item discrimination. Biserial and polyserial correlation coefficients measuring the association between items and restscores are often used in an informal…
Descriptors: Item Analysis, Correlation, Item Response Theory, Models
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Tudela, David – Journal of Chemical Education, 2008
The often called silver peroxide and silver(II) oxide, AgO or Ag[subscript 2]O[subscript 2], is actually a mixed oxidation state silver(I,III) oxide. A thermochemical cycle, with lattice energies calculated within the "volume-based" thermodynamic approach, explain why the silver(I,III) oxide is more stable than the hypothetical silver(II) oxide.…
Descriptors: Chemistry, Thermodynamics, Science Instruction, Physical Sciences
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Kader, Gary D.; Franklin, Christine A. – Mathematics Teacher, 2008
This article describes an activity for developing the notion of association between two quantitative variables. By exploring a collection of scatter plots, the authors propose a nonstandard "intuitive" measure of association; and by examining properties of this measure, they develop the more standard measure, Pearson's Correlation Coefficient. The…
Descriptors: Correlation, Mathematics Instruction, Measurement Techniques, Statistics
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Huck, Schuyler W.; Ren, Bixiang; Yang, Hongwei – Teaching Statistics: An International Journal for Teachers, 2007
Many students have difficulty seeing the conceptual link between bivariate data displayed in a scatterplot and the statistical summary of the relationship, "r." This article shows how to teach (and compute) "r" such that each datum's direct and indirect influences are made apparent and used in a new formula for calculating Pearson's "r."
Descriptors: Teaching Methods, Correlation, Statistics, Mathematical Formulas
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Farnsworth, David L. – Mathematics and Computer Education, 2006
The goals of this note are to derive formulas for the coefficients a and b in the least-squares regression plane y = at + bx + c for observations (t[subscript]i,x[subscript]i,y[subscript]i), i = 1, 2, ..., n, and to present meanings for the coefficients a and b. In this note, formulas for the coefficients a and b in the least-squares fit are…
Descriptors: Calculus, Correlation, Mathematical Formulas, Equations (Mathematics)
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Glaister, P. – Mathematics and Computer Education, 2005
The method of least squares enables the determination of an estimate of the slope and intercept of a straight line relationship between two quantities or variables X and Y. Although a theoretical relationship may exist between X and Y of the form Y = mX + c, in practice experimental or measurement errors will occur, and the observed or measured…
Descriptors: Least Squares Statistics, Mathematics Education, Mathematical Formulas, Measurement
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Ye, N.; Ding, Jiu – International Journal of Mathematical Education in Science & Technology, 2006
A simple proof to some known results on the convergence of linear recursive sequences with nonnegative coefficients is given, using the technique of monotone convergence.
Descriptors: Correlation, Numbers, Causal Models, Mathematical Formulas
Uptegrove, Elizabeth B.; Maher, Carolyn A. – International Group for the Psychology of Mathematics Education, 2004
This paper reports on five students' explorations of structural relationships between problem situations that they worked on over several years as participants in a long-term study. In particular, we describe the case of students who recognized isomorphisms between and among two problem situations and who used particular features of the problems…
Descriptors: Longitudinal Studies, Problem Solving, Mathematics Education, Mathematical Formulas
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