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eSACS

Mathematics - Grade 6

Mathematics, grade 6 standards are made up of five strands: Number Sense; Computation; Algebra and Functions; Geometry and Measurement; and Data Analysis and Statistics. The skills listed in each strand indicate what students in grade 6 should know and be able to do in Mathematics. Grade 6 begins the transition from the heavy emphasis on number and operations at the elementary school level towards a more formalized understanding of mathematics that occurs at the high school level. Students connect previous knowledge of multiplication, division, and fractions to ratios and proportional relationships; extend previous understanding of the number system and operations to fractions and negative numbers; apply and extend previous understandings of the number line to plot coordinate pairs on a Cartesian (coordinate) plane; formalize algebraic thinking into algebraic expressions, equations, and inequalities; apply their previous knowledge of geometry in real world and mathematics situations; and begin to develop understanding of statistical variability and distributions. Using the Process Standards for Mathematics in a planned and deliberate method to present the Mathematics content standards will prescribe that students experience mathematics as a coherent, useful, and logical subject that makes use of their ability to make sense of the mathematics. Along with the current academic standards, the Science/Technical Studies Content Area Literacy Standards are incorporated in the teaching of this subject with the expectation of a continuum of reading and writing skills development.

In Math 6, instructional time will focus on four critical areas:
(1) computation of positive, rational numbers;
(2) introduction of variable expressions & solving one-step equations using positive, rational numbers in addition to understanding proportional relationships;
(3) converting between the U.S. (Customary) and the Metric System and finding measurements related to rectangles and rectangular prisms; and
(4) recognizing statistical questions followed by analyzing, representing and summarizing numerical data sets in multiple ways.