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VECTOR ALGEBRAIC THEORY of ARITHMETIC: Part 2
7/25/13 VECTOR ALGEBRAIC THEORY OF ARITHMETIC: Part 2 VECTOR ALGEBRAIC THEORY OF ARITHMETIC: Part 2 Clyde L. Greeno The American Institute for the Improvement of MAthematics LEarning and Instruction (a.k.a. The MALEI Mathematics Institute) P.O. Box 54845 Tulsa, OK 74154 [email protected] ABSTRACT: Virtually unrecognized by curricular educators is that the theory of Arabic/base-number arithmetic relies on equivalence classes of whole-scalar vectors. Sooner or later the recognition will catalyze a major re-formation of scholastic curricular mathematics – and also of the mathematics education of all teachers of mathematics. Part 1 of this survey appears in the 2005 Proceedings of the MAA’s OK-AR Section Meeting. It sketches the vector-algebraic foundations of the Hindu-Arabic arithmetic for whole-number calculations – and that theory easily generalizes to include all base-number systems. As promised in Part 1, this Part 2 sequel outlines that theory’s extension to cover the whole-scalar vector arithmetic of fractions – which includes the arithmetics of finite decimal-points and of all other n-al points. Of course, the extension to infinite-dimensional whole-scalar vectors leads off to the n-al arithmetics for the reals. SUMMARY OF PART 1. Part 1 opened with an alphabetic construction of the Peano line of simple Arabic digit-strings – devoid of any reference to numbers – and extended that construction to achieve an Arabic numbers kind of whole-numbers system. Part 1 concluded by disclosing how the whole-scalars, vector-algebraic structure which underlies the Arabic arithmetic for whole numbers can serve as a mathematical basis for greatly improving the instructional effectiveness of curricular education in the arithmetic of whole numbers. -
Mathematics Standards Review and Revision Committee
Proposed for SBE Adoption – 2019-12-31 – Page 1 Mathematics Standards Review and Revision Committee Chairperson Joanie Funderburk President Colorado Council of Teachers of Mathematics Members Lisa Bejarano Lanny Hass Teacher Principal Aspen Valley High School Thompson Valley High School Academy District 20 Thompson School District Michael Brom Ken Jensen Assessment and Accountability Teacher on Mathematics Instructional Coach Special Assignment Aurora Public Schools Lewis-Palmer School District 38 Lisa Rogers Ann Conaway Student Achievement Coordinator Teacher Fountain-Fort Carson School District 8 Palisade High School Mesa County Valley School District 51 David Sawtelle K-12 Mathematics Specialist Dennis DeBay Colorado Springs School District 11 Mathematics Education Faculty University of Colorado Denver T. Vail Shoultz-McCole Early Childhood Program Director Greg George Colorado Mesa University K-12 Mathematics Coordinator St. Vrain Valley School District Ann Summers K-12 Mathematics and Intervention Specialist Cassie Harrelson Littleton Public Schools Director of Professional Practice Colorado Education Association This document was updated in December 2019 to reflect typographic and other corrections made to Standards Online. State Board of Education and Colorado Department of Education Colorado State Board of Education CDE Standards and Instructional Support Office Angelika Schroeder (D, Chair) 2nd Congressional District Karol Gates Boulder Director Joyce Rankin (R, Vice Chair) Carla Aguilar, Ph.D. 3rd Congressional District Music Content Specialist Carbondale Ariana Antonio Steve Durham (R) Standards Project Manager 5th Congressional District Colorado Springs Joanna Bruno, Ph.D. Science Content Specialist Valentina (Val) Flores (D) 1st Congressional District Lourdes (Lulu) Buck Denver World Languages Content Specialist Jane Goff (D) Donna Goodwin, Ph.D. 7th Congressional District Visual Arts Content Specialist Arvada Stephanie Hartman, Ph.D. -
Using History to Teach Computer Science and Related Disciplines
Computing Research Association Using History T o T eachComputer Science and Related Disciplines Using History To Teach Computer Science and Related Disciplines Edited by Atsushi Akera 1100 17th Street, NW, Suite 507 Rensselaer Polytechnic Institute Washington, DC 20036-4632 E-mail: [email protected] William Aspray Tel: 202-234-2111 Indiana University—Bloomington Fax: 202-667-1066 URL: http://www.cra.org The workshops and this report were made possible by the generous support of the Computer and Information Science and Engineering Directorate of the National Science Foundation (Award DUE- 0111938, Principal Investigator William Aspray). Requests for copies can be made by e-mailing [email protected]. Copyright 2004 by the Computing Research Association. Permission is granted to reproduce the con- tents, provided that such reproduction is not for profit and credit is given to the source. Table of Contents I. Introduction ………………………………………………………………………………. 1 1. Using History to Teach Computer Science and Related Disciplines ............................ 1 William Aspray and Atsushi Akera 2. The History of Computing: An Introduction for the Computer Scientist ……………….. 5 Thomas Haigh II. Curricular Issues and Strategies …………………………………………………… 27 3. The Challenge of Introducing History into a Computer Science Curriculum ………... 27 Paul E. Ceruzzi 4. History in the Computer Science Curriculum …………………………………………… 33 J.A.N. Lee 5. Using History in a Social Informatics Curriculum ....................................................... 39 William Aspray 6. Introducing Humanistic Content to Information Technology Students ……………….. 61 Atsushi Akera and Kim Fortun 7. The Synergy between Mathematical History and Education …………………………. 85 Thomas Drucker 8. Computing for the Humanities and Social Sciences …………………………………... 89 Nathan L. Ensmenger III. Specific Courses and Syllabi ………………………………………....................... 95 Course Descriptions & Syllabi 9. -
Use of Angle Model to Understand Addition and Subtraction of Fractions Muzwangowenyu Mukwambo 1*, Kenneth Ngcoza 2, Lineo Florence Ramasike 2
Pedagogical Research, 2018, 3(1), 01 ISSN: 2468-4929 Use of Angle Model to Understand Addition and Subtraction of Fractions Muzwangowenyu Mukwambo 1*, Kenneth Ngcoza 2, Lineo Florence Ramasike 2 1 University of Namibia - Katima Mulilo Campus, Katima Mulilo, NAMIBIA 2 Rhodes University, Grahamstown, SOUTH AFRICA *Corresponding Author: [email protected] Citation: Mukwambo, M., Ngcoza, K. and Ramasike, L. F. (2018). Use of Angle Model to Understand Addition and Subtraction of Fractions. Pedagogical Research, 3(1), 01. https://doi.org/10.20897/pr/85174 Published: February 14, 2018 ABSTRACT Learners in lower primary and even some in upper primary grades grapple to perform mathematical operations which involve fractions. Failure to solve these mathematical operations creates a gap in the teaching and learning processes of mathematics. We opine that this is attributed to use of traditional mathematical approaches of teaching and learning (TMATL) of operations of fraction. With the hope of engaging the reformed mathematical approach of teaching and learning (RMATL) this study investigated the following: How can trainee teachers use the angle model in RMATL operations of fractions? What are the perceptions of trainee teachers in the use of the angle model which engages RMATL to teach the operations of fractions? With the goal to fill the mentioned gap in which learners struggle to perform operations involving fractions, we observed and analysed worksheets on operation with fractions students wrote. Observations and interviews with trainee teachers of lower primary revealed poor performance in problems related to operations with fractions. Observed patterns supported by cognitivism revealed that invented methods or strategies on which RMATL is anchored are suitable enough to engage learner–centred teaching and learning which can prevent the abstractness of the concept of operations with fractions. -
Map Math Instruction Sheet
Converting Units � � � from to do this Examples � � � milimeters meters 1,000mm = 1m An expanded mm m divide by 1000 4,321mm = 4.321m � � meters milimeters 1m = 1,000mm � tutorial on using m mm multiply by 1000 4.3m = 4,300mm map math � meters kilometers 1,000m = 1km � divide by 1000 � is available at m km 4,300m = 4.3km kilometers meters 1km = 1,000m � www.MapTools.com multiply by 1000 � km m 4.3km = 4,300m � inches feet 12 in. = 1 ft. � in. ft. divide by 12 48 in. = 4 ft. � � feet inches multiply by 12 1 ft. = 12 in. � ft. in. 4 ft. = 48 in. � � Map scales feet miles 5,280 ft. = 1 mi. ft. mi. divide by 5280 7,392 ft. = 1.4 mi. � grid tools, rulers, � � miles feet 1 mi. = 5,280 ft. and other tools mi. ft. multiply by 5280 1.4 mi. = 7,392 ft. � � for measuring inches milimeters 1 in. = 24.5mm � multiply by 24.5 map coordinates in. mm 12 in. = 294mm � � milimeters inches divide by 24.5 24.5mm = 1 in. � are available mm in. 294mm = 12 in. miles kilometers multiply by 1 mi. = 1.6093km � � mi. km 1.6093 5 mi. = 8.0465km kilometers miles divide by 1.6093 1.6093km = 1 mi. � km mi. 1km = 0.6213 mi. � Check with your Map Distance v.s. Terrain Distance � � local map store or visit Distances measured on a map assume a flat surface and do not account or the Map Math � additional distance introduced as you climb up and down over the terrain. -
Hardin Middle School Math Cheat Sheets
Name: __________________________________________ 7th Grade Math Teacher: ______________________________ 8th Grade Math Teacher: ______________________________ Hardin Middle School Math Cheat Sheets You will be given only one of these books. If you lose the book, it will cost $5 to replace it. Compiled by Shirk &Harrigan - Updated May 2013 Alphabetized Topics Pages Pages Area 32 Place Value 9, 10 Circumference 32 Properties 12 22, 23, Comparing 23, 26 Proportions 24, 25, 26 Pythagorean Congruent Figures 35 36 Theorem 14, 15, 41 Converting 23 R.A.C.E. Divisibility Rules 8 Range 11 37, 38, 25 Equations 39 Rates Flow Charts Ratios 25, 26 32, 33, 10 Formulas 34 Rounding 18, 19, 20, 21, 35 Fractions 22, 23, Scale Factor 24 Geometric Figures 30, 31 Similar Figures 35 Greatest Common 22 Slide Method 22 Factor (GF or GCD) Inequalities 40 Substitution 29 Integers 18, 19 Surface Area 33 Ladder Method 22 Symbols 5 Least Common Multiple 22 Triangles 30, 36 (LCM or LCD) Mean 11 Variables 29 Median 11 Vocabulary Words 43 Mode 11 Volume 34 Multiplication Table 6 Word Problems 41, 42 Order of 16, 17 Operations 23, 24, Percent 25, 26 Perimeter 32 Table of Contents Pages Cheat Sheets 5 – 42 Math Symbols 5 Multiplication Table 6 Types of Numbers 7 Divisibility Rules 8 Place Value 9 Rounding & Comparing 10 Measures of Central Tendency 11 Properties 12 Coordinate Graphing 13 Measurement Conversions 14 Metric Conversions 15 Order of Operations 16 – 17 Integers 18 – 19 Fraction Operations 20 – 21 Ladder/Slide Method 22 Converting Fractions, Decimals, & 23 Percents Cross Products 24 Ratios, Rates, & Proportions 25 Comparing with Ratios, Percents, 26 and Proportions Solving Percent Problems 27 – 28 Substitution & Variables 29 Geometric Figures 30 – 31 Area, Perimeter, Circumference 32 Surface Area 33 Volume 34 Congruent & Similar Figures 35 Pythagorean Theorem 36 Hands-On-Equation 37 Understanding Flow Charts 38 Solving Equations Mathematically 39 Inequalities 40 R.A.C.E. -
A Mathematician's Secret from Euclid to Today
Quick, does 23=67 equal 33=97? A mathematician's secret from Euclid to today David Pengelley Abstract How might one determine in practice whether or not 23=67 equals 33=97? Is there a quick alternative to cross-multiplying? How about reducing? Cross-multiplying checks equality of products, whereas reducing is about the opposite, factoring and cancelling. Do these very different approaches to equality of fractions always reach the same conclusion? In fact they wouldn't, but for a critical prime-free property of the natural numbers more basic than, but essentially equivalent to, uniqueness of prime factorization. This property has ancient though very recently upturned origins, and was key to number theory even through Euler's work. We contrast three prime-free arguments for the property, which remedy a method of Euclid, use similarities of circles, or follow a clever proof in the style of Euclid, as in Barry Mazur's essay [22]. 1 Introduction What may we learn if we ask someone whether 23=67 equals 33=97, and ask them to explain why? Is there anything subtle going on here? Our question is not about when two fractions should be defined as \equal," but rather about how in practice one is legitimately allowed to determine whether or not they are equal. We first aim to stir up mud. We do this by asserting that there is a deli- cate issue in understanding fractions, something very powerful but sufficiently subtle that it tends early to become invisible to many mathematicians by as- suming intuitive second nature. For others it remains entirely outside conscious awareness, despite perhaps being used occasionally in practice without question. -
A Comparison of Elementary Mathematics Achievement In
A comparison of elementary <br />mathematics achievement in everyday<br /> math and saxon <br />math schools in illinois Item Type Dissertation Authors Roan, Clayton Download date 29/09/2021 01:50:35 Link to Item http://hdl.handle.net/10484/3991 A COMPARISON OF ELEMENTARY MATHEMATICS ACHIEVEMENT IN EVERYDAY MATH AND SAXON MATH SCHOOLS IN ILLINOIS _______________________ A dissertation Presented to The College of Graduate and Professional Studies Department of Educational Leadership Indiana State University Terre Haute, Indiana ______________________ In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy In K-12 Administration _______________________ by Clayton Roan May, 2012 Keywords: elementary curriculum, mathematics, administration, algorithms ii COMMITTEE MEMBERS Committee Chair: Terry McDaniel, Ph.D. Assistant Professor of the Department of Educational Leadership Indiana State University Committee Member: Noble Corey, Ph.D. Professor of the Department of Curriculum, Instruction, and Media Technology Indiana State University Committee Member: Steve Gruenert, Ph.D. Chair of the Department of Educational Leadership Indiana State University iii ABSTRACT This study compared mathematics achievement in Illinois elementary schools using the Everyday Math and Saxon Math curricula. The Illinois Standards Achievement Test (ISAT) was used as the measure of student achievement. Multiple correlation analyses showed that the type of curriculum used was a significant predictor of mathematics achievement at the third and fifth grade levels. Everyday Math was found to support greater student achievement in these grades. When holding other variables constant, Everyday Math schools can be expected to have an average of 2.1% more questions correct on the multiple choice portion of the ISAT than Saxon Math schools at the third grade level. -
Volume Five, Teaching Basic Facts and Multidigit
AA GuideGuide toto EffectiveEffective InstructionInstruction inin MathematicsMathematics Kindergarten to Grade 6 A Resource in Five Volumes from the Ministry of Education Volume Five Teaching Basic Facts and Multidigit Computations Every effort has been made in this publication to identify mathematics resources and tools (e.g., manipulatives) in generic terms. In cases where a particular product is used by teachers in schools across Ontario, that product is identified by its trade name, in the interests of clarity. Reference to particular products in no way implies an endorsement of those products by the Ministry of Education. Une publication équivalente est disponible en français sous le titre suivant : Guide d’enseignement efficace des mathématiques, de la maternelle à la 6e année. Contents Introduction . v 10. Approaches to Teaching Basic Facts and Multidigit Computations . 1 Introduction . 5 Using the Problem-Solving Approach to Teach Basic Facts and Multidigit Computations . 7 Basic Facts: Addition and Subtraction, and Multiplication and Division . 12 Basic Addition and Subtraction Facts . 20 Basic Multiplication and Division Facts . 27 Multidigit Whole Number Calculations . 35 Appendices . 57 References . 113 Introduction This is Volume Five of the five-volume reference guide A Guide to Effective Instruction in Mathematics, Kindergarten to Grade 6. This volume contains Chapter 10. Chapter 10 is devoted to the important subject of teaching basic facts and multidigit computa- tions – the building blocks of students’ computational proficiency. Effective instruc- tion in this area is critical, as students’ ability to perform operations accurately and with understanding will affect their achievement of expectations in all five strands of the curriculum. The chapter lays out the approaches and strategies that have proved most effective in helping students understand, learn, and consolidate their learning of the basic facts. -
Basic Skills Versus Conceptual Understanding
BASIC SKILLS VERSUS CONCEPTUAL UNDERSTANDING A Bogus Dichotomy in Mathematics Education BY H. WU DUCATION SEEMS to be plagued by false quire the former without the latter. E dichotomies. Until recently, when research and It has been said that had Einstein been born at the common sense gained the upper hand, the debate time of the Stone Age, his genius might have enabled over how to teach beginning reading was character- him to invent basic arithmetic but probably not much ized by many as “phonics vs. meaning.” It turns out else. However, because he was born at the end of the that, rather than a dichotomy, there is an inseparable 19th century—with all the techniques of advanced connection between decoding—what one might call physics at his disposal—he created the theory of rela- the skills part of reading—and comprehension. Fluent tivity. And so it is with mathematics. Conceptual ad- decoding, which for most children is best ensured by vances are invariably built on the bedrock of tech- the direct and systematic teaching of phonics and lots nique. Without the quadratic formula, for example, the of practice reading, is an indispensable condition of theoretical development of polynomial equations and comprehension. hence of algebra as a whole would have been very dif- “Facts vs. higher order thinking” is another example ferent. The ability to sum a geometric series, some- of a false choice that we often encounter these days, as thing routinely taught in Algebra II, is ultimately re- if thinking of any sort—high or low—could exist out- sponsible for the theory of power series, which lurks side of content knowledge. -
2014 Mathematics Grade 3 Performance Level Descriptors Page 1
May 1, 2014 2014 Mathematics Grade 3 Performance Level Descriptors Page 1 Level Basic Proficient Advanced Marginal academic performance, work approaching, but not yet Satisfactory academic performance indicating a solid Superior academic performance indicating an in-depth reaching, satisfactory performance, indicating partial understanding and display of the knowledge and skills included in understanding and exemplary display of the knowledge and skills understanding and limited display of the knowledge and skills Policy Level PLDs the Wyoming Content and Performance Standards. included in the Wyoming Content and Performance Standards. included in the Wyoming Content and Performance Standards. Domain Operations and Algebraic Thinking Basic students interpret products and quotients of whole numbers Proficient students interpret products and quotients of whole Advanced students write products and quotients in mathematical (2, 5, 10) using a pictorial representation (3.OA.1, 3.OA.2); numbers in mathematical and real-world contexts (3.OA.1); and real-world contexts; Range PLD: Cluster A - Represent and solve problems Basic students use multiplication within 100 to solve and represent Proficient students use multiplication and division within 100 to Advanced students use multiplication and division within 100 to involving multiplication and word problems provided a pictorial representation (3.OA.3); solve and represent word problems provided a pictorial solve and represent word problems (3.OA.3); division. representation (3.OA.3); Basic students determine the product or quotient in an equation Proficient students determine the unknown whole number in a Advanced students interpret two or more equations each with an given one of the factors to be 2, 5, or 10 (3.OA.4). -
MATHEMATICS and ARCHITECTURAL DESIGN
RAIC SYLLABUS Thesis Submission MATHEMATICS and ARCHITECTURAL DESIGN CURRICULUM DEVELOPMENT SECTION 6.0 Kurt Dietrich SK85ON23 Architectural Curriculum Kurt Dietrich Course Outline MATHEMATICS SK85ON23 INDEX: Page: I. Abstract 3 II. Preamble 3 III. Component Initiative 5 IV. Component Course Materials 6 V. Instructional Strategy 8 VI. Student Activities 8 VII. Assessment Method 9 VIII. Common Essential Learnings 10 IX. Environment 11 X. Materials and Resources 11 XI. Course Text Outline 12 • Introduction • Cost Estimating 16 • Mathematical Building Analysis 28 • Geometry 36 XII. New Text Definitions 54 XIII. Appendix 'A': List of Illustrations 55 XIV. Appendix 'B': Bibliography 58 2 Architectural Curriculum Kurt Dietrich Course Outline MATHEMATICS SK85ON23 ABSTRACT: Mathematics, a technical science, plays an integral role in architectural design. The use of mathematics is applied both artistically and practically in creating a design solution. Figure 1: Fibonacci Algorithm PREAMBLE: The function of mathematics as an element of architectural design is two- fold. The first function serves as the economic factors relative to a proposed design solution. This function uses the proposed size (floor area and heights), material elements and developmental requirements. These items are combined with mathematical formulae to create a budget for the construction as well as for future operations and maintenance costs. This function was referenced in the original proposal as the ‘Building and Area Calculations’ component of mathematics. Figure 2: Total Building Cost 3 Architectural Curriculum Kurt Dietrich Course Outline MATHEMATICS SK85ON23 The second function serves as a principal component of the design rationale. The size, proportion and area distribution of the design spaces are mathematically derived based on the theory of relationships.