Tuesday, December 20, 2011

goals in math education


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Foundational Information
Goals in Math Education
Math is a very large, vertically structured field. There are many possible goals in Math Education, and various stakeholders hold strong (and, often differing) opinions on what these goals should be.
Mathematics and Math Education are large and complex fields. Math Education changes over time. This Website explores two current powerful change agents: Brain Science and ICT. This section of the Website provides information on several important areas that we need to understand as we explore possible changes in our Math Education system.

Weaknesses in Our Current Math Education System

Six General Principles Specified by the NCTM

Ten General Standards Specified by the NCTM

A Mathematics Expertise Scale Approach

Other Topics That Might be Added to This Page


Weaknesses in Our Current Math Education System

Much of the weakness in our current Math Education system is historical in nature and can be discerned by carefully thinking about the following diagram. It is a simplified 4-step model of using mathematics to solve a problem.
Standard estimates are that about 80-percent of Math Education at the K-12 level is focused on part 2 of the diagram.
Historically, Math Education systems focused on helping students to learn to carry out a number of different types of "step 2" using some combination of mental and written knowledge and skills. It takes a typical students hundreds of hours of study and practice to develop a reasonable level of speed and accuracy in performing addition, subtraction, multiplication, and division on integers, decimal fractions, and fractions. Even this amount of instructional time and practice -- spread out over years of schooling -- tends to produce modest results. Speed and accuracy decline relatively rapidly without continued practice of the skills.
During the past 5,000 years there has been a steady increasing body of knowledge in mathematics, science, and engineering. The industrial age and our more recent information age has lead to a steady increase in the use of "higher" math in many different disciplines and on the job. Our Education System has moved steadily toward the idea that the basic computational numeracy described above is insufficient. Students also need to know basic algebra, geometry, statistics, probability, and other higher math topics.
As these topics began to be introduced into the general curriculum, a gap developed between the math that students were learning in school and the math that most people used in their everyday lives. More and more, Math Education focused on learning math topics in a self-contained environment where what was being learned had little immediate use in the lives of the students and little use in the lives of their parents.
A pattern of Math Education curriculum developed in which one of the main reasons for learning the material in a particular course was to be prepared to take the next course. Students developed little skill at transferring their math knowledge and skills into non-math disciplines or into problems that they encountered outside of school. Only a modest number of adults maintain the math knowledge and skills that they initially developed while studying algebra, geometry, and other topics beyond basic arithmetic.
That brings us up to current times. Many high schools require students to take three years of math (during their four years of high school) in order to graduate. There is considerable pressure to have all students take an algebra course. The nature of the instruction and the learning in many of these math courses follows the "80-percent on step 2" that has been noted above. Students are now learning the underlying concepts, or how to make use of the math in other courses or outside of a formal school setting.
As a final note in this subsection, the 4-step diagram represents only part of the field of math. For example, it does not include math as a human endeavor with its long and rich history.
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Here, and perhaps elsewhere in this Website, we want to emphasize that computers can carry out step 2 both accurately and rapidly. Thus, our current Math Education system is spending about 80-percent of its time teaching students to compete with machines in a domain where the machine is far far superior to even the best of humans.
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Note to self: The February 1999 issue of the Phi Delta Kappan is a theme issue focussing on The Mathematical Miseducation of America's Youth. It is an excellent resource.
Phi Delta Kappan. Select articles are available online. Accessed 8/15/01: http://www.pdkintl.org/kappan/karticle.htm. See specifically the following three articles from the February 1999 issue:
The Mathematical Miseducation of America's Youth: Ignoring Research and Scientific Study in Education, by Michael T. BattistaParrot Math, by Thomas C. O'Brien
Technology, Children, and the Power of the Heart, by Matthew M. Maurer and George Davidson

Reference

Glazer, Evan (Date?). Technology Enhanced Learning Environments that are Conducive to Critical Thinking in Mathematics: Implications for Research about Critical Thinking on the World Wide Web [Online]. Accessed 1/14/02:http://www.arches.uga.edu/~eglazer/EDIT6400.html. Quoting the Abstract from this draft paper:
Mathematics education reform has emphasized a need for increased experience with technology and critical thinking skills in order to better prepare students for a modern society that is dependent on access to and use of information. However, the complexity and diversity of these skills leaves some uncertainty about their successful implementation in the mathematics classroom. The goal of this paper is to reveal a model that promotes critical thinking in a technology-enhanced mathematics classroom. Moreover, this paper will also examine critical thinking opportunities that are unique to technology-enhanced environments by examining discrepancies from critical thinking in non-technology enhanced environments.A domain specific definition of critical thinking in mathematics will be formed in order to identify research and literature that supports this model. A review of literature suggests that environmental factors, such as the nature of a critical thinking task, the students' learning responsibilities, and the teacher's role to foster learning, influence and enhance critical thinking opportunities. The nature of each of these elements in technology and non-technology-enhanced environments will be elaborated through the model. The paper will conclude with implications for research about critical thinking using resources from the World Wide Web.
This Evan Glazer article includes a lengthy discussion of what is meant by critical thinking in general, and in mathematics. Suppose one decides that one of the goals of mathematics education is to develop critical thinking. Then, what does progress in Brain Science, ICT, and SoTL do to help us here?

Six General Principles Specified by the NCTM

The National Council of Teachers of Mathematics (NCTM) it the leading professional society for Pre K-12 Mathematics Education in the United States. Much of the contents of this section are direct quotes from NCTM [Online] Accessed 7/28/01:http://www.nctm.org/standards/overview.htm.
NCTM's Math Standards are based on six general principles:
  1. The Equity PrincipleExcellence in mathematics education requires equity--high expectations and strong support for all students.
  2. The Curriculum PrincipleA curriculum is more than a collection of activities: it must be coherent, focused on important mathematics, and well articulated across the grades.
  3. The Teaching PrincipleEffective mathematics teaching requires understanding what students know and need to learn and then challenging and supporting them to learn it well.
  4. The Learning PrincipleStudents must learn mathematics with understanding, actively building new knowledge from experience and prior knowledge.
  5. The Assessment PrincipleAssessment should support the learning of important mathematics and furnish useful information to both teachers and students.
  6. The Technology PrincipleTechnology is essential in teaching and learning mathematics; it influences the mathematics that is taught and enhances students' learning.

Comments on the Six General Principles

The Six General Principles are carefully thought out, powerful statements that NCTM feels should underlie mathematics in curriculum, instruction, and assessment. Here are a few observations that relate some of these principles to this workshop and Website.
  • Note that #3 is supportive of higher-order knowledge and skills -- learning for understanding, rather than rote learning.
  • Note that #4 is strongly supportive of Constructivism.
  • Note that #6 is supportive of a careful examination of roles of ICT in all aspects of mathematics curriculum, instruction, and assessment.
When people read a list such as the Six General Principles, many tend to accept what is listed as being complete and comprehensive. It does not immediately occur to them that the list may have major flaws, and that the list is a compromise developed by a large number of people working together over a long period of time.
For example look more carefully at #6. The statement "it [technology] influences the mathematics that is taught" does not provide us with much help in deciding what to add to the curriculum or what to drop from the curriculum. For example, should we drop paper and pencil long division of multi digit numbers from the curriculum because of calculators and computers? How about paper and pencil calculation of square roots?
Or, look more carefully at #4. Constructivism is an important learning theory. But, there are other learnng theories that might also be important to math education. Situated Learning is a good example. And, teaching for transfer and learning for transfer (that is, taking into consideratoin what we know about transfer of learning) would seem to be an important principle.

Activities

Activity: Working in small groups or individually, select one of the Six General Principles. Analyze it from varying points of view such as:
  • Is it consistent with and supported by your current understanding of Brain Science?
  • Is it consistent with and supported by your current understanding of ICT?
  • Is it consistent with and supported by your personal understanding and philosophy of mathematics and mathematics education?
Share your analysis. Does your analysis suggest changes that you might want to consider making in your teaching? If "yes," then suggest a specific change that you intend to try.



Ten General Standards Specified by the NCTM

NCTM's Standards for school mathematics describe the mathematical understanding, knowledge, and skills that students should acquire from prekindergarten through grade 12. Each Standard consists of two to four specific goals that apply across all the grades. For the five Content Standards, each goal encompasses as many as seven specific expectations for the four grade bands considered in Principles and Standards: prekindergarten through grade 2, grades 3&endash;5, grades 6&endash;8, and grades 9&endash;12. For each of the five Process Standards, the goals are described through examples that demonstrate what the Standard should look like in a grade band and what the teacher's role should be in achieving the Standard. Although each of these Standards applies to all grades, the relative emphasis on particular Standards will vary across the grade bands.

Five Content Standards

  1. Number and OperationsInstructional programs from prekindergarten through grade 12 should enable all students to--
    • understand numbers, ways of representing numbers, relationships among numbers, and number systems;
    • understand meanings of operations and how they relate to one another;
    • compute fluently and make reasonable estimates.
    Number pervades all areas of mathematics. The other four Content Standards as well as all five Process Standards are grounded in number.
  2. AlgebraInstructional programs from prekindergarten through grade 12 should enable all students to--
    • understand patterns, relations, and functions;
    • represent and analyze mathematical situations and structures using algebraic symbols;
    • use mathematical models to represent and understand quantitative relationships;
    • analyze change in various contexts.
    Algebra encompasses the relationships among quantities, the use of symbols, the modeling of phenomena, and the mathematical study of change.
  3. GeometryInstructional programs from prekindergarten through grade 12 should enable all students to--
    • analyze characteristics and properties of two- and three-dimensional geometric shapes and develop mathematical arguments about geometric relationships;
    • specify locations and describe spatial relationships using coordinate geometry and other representational systems;
    • apply transformations and use symmetry to analyze mathematical situations;
    • use visualization, spatial reasoning, and geometric modeling to solve problems.
    Geometry and spatial sense are fundamental components of mathematics learning. They offer ways to interpret and reflect on our physical environment and can serve as tools for the study of other topics in mathematics and science.
  4. MeasurementInstructional programs from prekindergarten through grade 12 should enable all students to--
    • understand measurable attributes of objects and the units, systems, and processes of measurement;
    • apply appropriate techniques, tools, and formulas to determine measurements.
    The study of measurement is crucial in the preK&endash;12 mathematics curriculum because of its practicality and pervasiveness in so many aspects of everyday life. The study of measurement also provides an opportunity for learning about other areas of mathematics, such as number operations, geometric ideas, statistical concepts, and notions of function.
  5. Data Analysis and ProbabilityInstructional programs from prekindergarten through grade 12 should enable all students to--
    • formulate questions that can be addressed with data and collect, organize, and display relevant data to answer them;
    • select and use appropriate statistical methods to analyze data; develop and evaluate inferences and predictions that are based on data; understand and apply basic concepts of probability.
    To reason statistically--which is essential to be an informed citizen, employee, and consumer--students need to learn about data analysis and related aspects of probability.

Five Process Standards

  1. Problem SolvingInstructional programs from prekindergarten through grade 12 should enable all students to--
    • build new mathematical knowledge through problem solving;
    • solve problems that arise in mathematics and in other contexts;
    • apply and adapt a variety of appropriate strategies to solve problems;
    • monitor and reflect on the process of mathematical problem solving.
    Problem solving is an integral part of all mathematics learning. In everyday life and in the workplace, being able to solve problems can lead to great advantages. However, solving problems is not only a goal of learning mathematics but also a major means of doing so. Problem solving should not be an isolated part of the curriculum but should involve all Content Standards.
  2. Reasoning and ProofInstructional programs from prekindergarten through grade 12 should enable all students to--
    • recognize reasoning and proof as fundamental aspects of mathematics;
    • make and investigate mathematical conjectures;
    • develop and evaluate mathematical arguments and proofs;
    • select and use various types of reasoning and methods of proof.
    Systematic reasoning is a defining feature of mathematics. Exploring, justifying, and using mathematical conjectures are common to all content areas and, with different levels of rigor, all grade levels. Through the use of reasoning, students learn that mathematics makes sense. Reasoning and proof must be a consistent part of student's mathematical experiences in prekindergarten through grade 12.
  3. CommunicationInstructional programs from prekindergarten through grade 12 should enable all students to--
    • organize and consolidate their mathematical thinking though communication;
    • communicate their mathematical thinking coherently and clearly to peers, teachers, and others;
    • analyze and evaluate the mathematical thinking and strategies of others;
    • use the language of mathematics to express mathematical ideas precisely.
    As students are asked to communicate about the mathematics they are studying--to justify their reasoning to a classmate or to formulate a question about something that is puzzling--they gain insights into their thinking. In order to communicate their thinking to others, students naturally reflect on their learning and organize and consolidate their thinking about mathematics.
  4. ConnectionsInstructional programs from prekindergarten through grade 12 should enable all students to--
    • recognize and use connections among mathematical ideas;
    • understand how mathematical ideas interconnect and build on one another to produce a coherent whole;
    • recognize and apply mathematics in contexts outside of mathematics.
    Mathematics is an integrated field of study, even though it is often partitioned into separate topics. Students from prekindergarten through grade 12 should see and experience the rich interplay among mathematical topics, between mathematics and other subjects, and between mathematics and their own interests. Viewing mathematics as a whole also helps students learn that mathematics is not a set of isolated skills and arbitrary rules.
  5. RepresentationInstructional programs from prekindergarten through grade 12 should enable all students to--
    • create and use representations to organize, record, and communicate mathematical ideas;
    • select, apply, and translate among mathematical representations to solve problems;
    • use representations to model and interpret physical, social, and mathematical phenomena.
    Representations are necessary to students' understanding of mathematical concepts and relationships. Representations allow students to communicate mathematical approaches, arguments, and understanding to themselves and to others. They allow students to recognize connections among related concepts and apply mathematics to realistic problems.

Comments on the Ten General Standards

Remember that formal mathematics is a 5,000 year old discipline. It is a cumulative, vertically structured discipline. Thus, the work of Pythagorus and Euclid, more than 2,000 years ago, is still important in our current mathematics curriculum. Currently there are thousands of mathematics researchers throughout the world who are building new results on the old, seeking out new mathematical ideas, and continuing to build the accumulated knowledge of the field.
The Ten General Standards can be viewed as ten strands that weave together. They cover topics that the NCTM considers to be important in our current society. Knowledge and skills in the areas covered is useful in many different aspects of learning, play, work, and being a responsible adult in our society.
As with the Six General Principles, we should recognize that the Ten General Standards were developed by a large number of people working over a long period of time. Many compromises had to be made. And, it may well be that continued rapid changes in ICT and Brain Science are not adequately reflected in the Standards.
For example, consider the "compute fluently" part of the third bullet in Standard #1. What should the specific goals be? Should we try to "train" students to have a substantial level of speed and accuracy in carrying out multi digit computations with integers, decimals, and fractions? It takes a great deal of effort over a number of years for a student do meet current paper and pencil computational standards. One might ask whether this is an appropriate use of a student's time -- especially given the fact that most students are unable to develop and maintain a high level of speed and accuracy. (A passing score on a computation test might be 70% or 80%. In multi digit computations, completing one computation per minute might be considered a high rate of speed. This is not a very useful level of speed and accuracy. We expect a computer to carry out billions of such computations in a few seconds. with no errors.)

Activities

Activity: Working in small groups or individually, select one of the Ten General standards. Analyze it from varying points of view such as:
  • Is it consistent with and supported by your current understanding of Brain Science?
  • Is it consistent with and supported by your current understanding of ICT?
  • Is it consistent with and supported by your personal understanding and philosophy of mathematics and mathematics education?
Share your analysis. Does your analysis suggest changes that you might want to consider making in your teaching? If "yes," then suggest a specific change that you intend to try.


A Mathematics Expertise Scale Approach

The material given in this section is original, not quoted from the NCTM Standards.
For any domain of human endeavor, one can think about levels of performance along an Expertise Scale.
When a learner first begins informal and formal instruction in a given domain, the learner is a novice. With training, education, and experience over a period of time, the learner moves up the scale. The scale point "Useful Level of Competence" is not carefully defined. It varies with the learner. And, since "useful" may also be defined by people other than the learner, the definition may well change over time and be dependent on the society that is making the definition. At the current time, a medical doctor with knowledge and skills that were the standards of medical school in 1900 would not currently be considered to have a Useful Level of Competence in medicine.
Earlier on this web page we noted that the Ten NCTM Standards can be considered as interwoven strands. Let's look at this idea in a simpler setting. Here are three major types of domains that might form the basis for setting goals in mathematics education:
  1. Mathematics as a human endeavor. Mathematics has a very long history. Mathematics has beauty. Mathematics is an important aspect of aspect of past and current cultures. Mathematics is "the queen of the sciences."
  2. Mathematics as as an interdisciplinary language and tool. Mathematics can be used to help represent, communicate about, and solve problems in many different disciplines. Many jobs and other aspects of responsible adult life in our society require some mathematical knowledge and skills.
  3. Mathematics as a discipline. The formal study of and research in mathematics is at least 5,000 years old. It is a deep and wide discipline with a huge amount of accumulated knowledge.
Think about a math educator's Expertise Scale for each of these three domains.
A person who teaches mathematics has some level of expertise along each of these three expertise-strand scales. Presumable the combination of these levels of expertise is adequate to meet contemporary standards for being a teacher of mathematics. Unfortunately, for many math teachers, this is not the case. Moreover, a math teacher is faced by difficulties such as:
  1. Contemporary standards increase with time (consider the medical doctor of 1900) and with the changing needs of a society.
  2. A person's knowledge and skills within a domain tend to decrease over time if they are not frequently used. (Do you remember all of the details of the math you learned in high school and college?)
  3. ICT and Brain Science are rapidly expanding domains of knowledge and skills that are important in each of the three mathematics domains that are listed above.

Activities

Activity 1: Working alone, decide on a point on each of the three scales that you feel would most appropriately represent the level of expertise that a math teacher doing your math teacher work should have at the current time. Describe each of these three points in a manner that communicates well to you and can be used to communicate to another person. Then, place yourself onto each of the three scales. Analyze your strengths and weaknesses relative to the standards that you have defined.
Activity 2: Next, add two more expertise domains to the diagram. One is labeled "ICT and Mathematics Education" and the other is named "Brain Science and Mathematics Education." Repeat Activity 1 for these two new scales. Share your insights in a small group discussion.



Other Topics That Might be Added to This Page

  1. Incremental and continuous change versus disruptive (large jump) change. Clayton Christensen's work in the business field.
  2. Discussion of varying points of view both as to what constituters mathematics at the K-12 levels, and what it means to improve math education at these levels.
    1. Totality of accumulated math data, information, knowledge, & wisdom is huge and growing.
    2. Societal needs in this area have changed and are changing.
    3. There are diverse opinions of goals, how to reach them, & how to measure progress.
  3. Learning to learn. To what extent do we help our students learn how to learn mathematics and to be independent, self-sufficient learners, lifelong learners of mathematics? This seems like a particularly important topic.The human mind (at both a conscious and unconscious level) is designed to learn and is a lifelong learner. (It perceives and processes threats and opportunities, and learns from doing so.) Thus, when we talk about being a lifelong learner, we need to specify more carefully what we really want to have happen. We are defining some external things (such as the steadily accumulating totality of data, information, knowledge, and wisdom) and indicating that a person should actively, consciously engaged in learning certain parts of this. Hmm. We then need to consider:
    • New dimensions, such as distance learning, computer-assisted learning, intelligent computer-assisted instruction, learner-centered software, and brain theory.
    • "Just in time" learning.
    • Continual learning (a routine, everyday part of one's job and life).
  4. Modeling and Simulation. I assume that this topic is one of the major themes in mathematics education. Certainly ICT plays a significant role in it.
    • The 1998 Nobel Prize in chemistry was awarded to two computational chemists.
    • Computer-based modeling and simulation are now a powerful aid to knowing and doing all of the sciences as well as many other disciplines such as economics and architecture.
    • An excellent example of use of mathematical modeling in disease control is given at:Researchers' Mathematical Model Provides Chagas Disease Insights. NSF News Release 24 July 2001. [Online]. Accessed 7/27/01:http://www.nsf.gov/od/lpa/news/press/
      01/pr0159.htm
  5. ICT-Assisted Problem Solving.
    • One of the most useful strategies in problem solving is breaking big problems into smaller, more manageable sub problems.
    • Increasingly, IT is a tool that can solve these sub problems -- thus, greatly increasing the problem-solving capabilities of computer users. (This ties in with Effective Procedures.)
    • Trial and error -- or exhaustive search.
    • Library research (for example, using the Global; Library that we call the Web).
    • Graphing, motion graphics, and other aids to visualization
  6. ICT as Content of Various Parts of Mathematics. Examples include spreadsheet, geographic information systems, computer-aided design, and mathematics systems such as Mathematica and Maple.

maths as a language


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Foundational Information

 

Math as a Language

Mathematics as a formal discipline of study was developed about 5,000 years ago.
"Now I feel as if I should succeed in doing something in mathematics, although I cannot see why it is so very important... The knowledge doesn't make life any sweeter or happier, does it?" (Helen Keller)
Writing was developed by the Sumerians approximately 5,000 years ago. At the same time, the Sumerians developed some written notation for mathematics. Writing and mathematics are brain tools--they are powerful aids to the human mind. The abilities to use both written language and mathematics are so useful to people that these are "basics" in our formal educational system. Students study and practice the "three Rs" year after year in K-12 education and even on into higher education as they work to develop contemporary and more advanced knowledge and skills (expertise) in these areas.
Our math education system pays some attention to the idea that math is a language. For example, many math teachers have their students do journaling on the math learning experiences and their math use experiences. Some math teachers make use of cooperative learning--an environment that encourages students to communicate mathematical ideas. Some math assessment instruments require that students explain what it is they are doing as they solve the math problems in the assessment.
There has been a great deal of research on the teaching and learning of reading and writing in one's first (natural) language. In addition, there has been a great deal of research on the learning of a second language. It seems likely that some of the research findings and practical implementations of these findings would be applicable to teaching and learning of mathematics.
In the early days of computer programming, there was quite a bit of research done how to identify people who might be good at computer programming. It turned out that music ability and math ability correlated well with computer programming ability. This is interesting from the point of view that in some sense music is a language, and computer programming requires learning programming languages and then solving problems using the languages.
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The following article provides some research on the value of directly teaching language skills in various disciplines, including math:
Marzano, Robert J. (September 2005) Preliminary Report on the 2004–05 Evaluation Study of the ASCD Program for Building Academic Vocabulary. Accessed 11/30/05:www.ascd.org/ASCD/pdf/ Building%20
Academic%20Vocabulary%20Report.pdf
.
The following email from Garry Taylor is a valuable resource in exploring mathematics as a language.
From: consultay@npgcable.com
Subject: your question
Date: January 29, 2005 5:36:13 AM PST
To: moursund@darkwing.uoregon.edu

The research seems to say that students can't learn to read mathematics problems better by sensitizing them to vocabulary. We have discovered that when students use manipulatives, and when they describe the attributes and relationships in their own oral language terms, the teacher can, through questioning guide the students to increasingly precise language of mathematics. Once the language is well understood, as are the "definitions" of the concepts and principles, the symbolic translation to equations (numerals and operational symbols) are relatively easy. It all takes time to help students acquire a concept and definitions. Once understood, however, symbolic algorthims seem to take relatively little time to develop--and when asked to solve computational story problems, students seem to have little difficulty in understanding the embedded relationships, numbers and operational procedures to be used.
We have come to this conclusion after 25 years of reading the research on teaching and learning of mathematics. Our direction at the present time is on how this translation occurs.
A few names to understand: Donald Hebb's work on neurological processing (around 1949), his student's work on the same issues; Peter Milner (around the early 1960s; Klausmeier's work on concept acquistion and development (1968 through 1978), Of course Piaget's work has influenced Constance Kamii and others.
I have developed and am in the process of working up a learning model that supports all these positions coupled by more recent work on memory and neurobiology and research into applications of constructivist theory--we are working from the premises of social constructivism.
Garry Taylor, Ph.D.

References

Music as a language. Quoting Howard Gardner:

“It may well be easier to remember a list if one sings it (or dances to it). However, these uses of the ‘materials’ of an intelligence are essentially trivial. What is not trivial is the capacity to think musically.” (Howard Gardner)
English as a Second or Other Language (ESOL)

Research on Learning Computer Programming and Software Engineering

Mathematics as a Language

Crannell, Annalisa. Writing in Mathematics [Online]. Accessed 1/26/02: http://www.fandm.edu/Departments/Mathematics/
writing_in_math/writing_index.html.

Crannell gives writing assignments in the calculus classes she teaches at a university level. Her Website includes a 1994 booklet A Guide to Writing in Mathematics Classes. Quoting from the first part of that booklet:
For most of your life so far, the only kind of writing you've done in math classes has been on homeworks and tests, and for most of your life you've explained your work to people that know more mathematics than you do (that is, to your teachers). But soon, this will change.Now that you are taking Calculus, you know far more mathematics than the average American has ever learned - indeed, you know more mathematics than most college graduates remember. With each additional mathematics course you take, you further distance yourself from the average person on the street. You may feel like the mathematics you can do is simple and obvious (doesn't everybody know what a function is?), but you can be sure that other people find it bewilderingly complex. It becomes increasingly important, therefore, that you can explain what you're doing to others that might be interested: your parents, your boss, the media.
Nor are mathematics and writing far-removed from one another. Professional mathematicians spend most of their time writing: communicating with colleagues, applying for grants, publishing papers, writing memos and syllabi. Writing well is extremely important to mathematicians, since poor writers have a hard time getting published, getting attention from the Deans, and obtaining funding. It is ironic but true that most mathematicians spend more time writing than they spend doing math.
But most of all, one of the simplest reasons for writing in a math class is that writing helps you to learn mathematics better. By explaining a difficult concept to other people, you end up explaining it to yourself.
Language and the Learning of Mathematics [Online]. Accessed 1/26/02: http://www.mathematicallycorrect.com/allen4.htm. A speech delivered at the NCTM Annual Meeting Chicago, April 1988 by Frank B. Allen, Emeritus Professor of Mathematics Elmhurst College. Quoting from the paper:
This brings me to my major thesis that natural language, gradually expanded to include symbolism and logic, is the key to both the learning of mathematics and its effective application to problem situations. And above all, the use of appropriate language is the key to making mathematics intelligible. Indeed, in a very real sense, mathematics is a language. Proficiency in this language can be acquired only by long and carefully supervised experience in using it in situations involving argument and proof.
Mathematics as a Language [Online]. Accessed 1/26/02:http://www.cut-the-knot.com/language/. Quoting from the Website:
However, the language of Mathematics does not consist of formulas alone. The definitions and terms are verbalized often acquiring a meaning different from the customary one. Many students are inclined to hold this against mathematics. For example, one may wonder whether 0 is a number. As the argument goes, it is not, because when one says, I watched a number of movies, one does not mean 0 as a possibility. 1 is an unlikely candidate either. But do not forget that ambiguities exist in plain English (the number's number is one of them) and in other sciences as well. A a matter of fact, mathematical language is by far more accurate than any other one may think of. Do not forget also that every science and a human activity field has its own lingo and a word usage in many instances much different from that one may be more comfortable with.
The Language of Mathematics [Online]. Accessed 1/26/02:http://www.math.montana.edu/~umsfwest/.
This Website is based on a book by Warren Esty and a course at Montana State University by the same name. The first quote given below is from the Website, and the second is from the Warren Esty book.
Jointly with Anne Teppo, Warren Esty published an article in the Mathematics Teacher (Nov. 1992, 616-618) entitled "Grade assignment based on progressive improvement" which was reprinted in the NCTM's Emphasis on Assessment. and posted on the web by the Eisenhower National Clearinghouse for Mathematics and Science Education. In a language course, you can expect continual improvement. This article discusses why grading should not be based on averages of unit-exam scores and how a course like "The Language of Mathematics" can be graded.
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Mathematical results are expressed in a foreign language. Like other languages, it has its own grammar, syntax, vocabulary, word order, synonyms, negations, conventions, idioms, abbreviations, sentence structure, and paragraph structure. It has certain language features unparalleled in other languages, such as representation (for example, when "x" is a dummy variable it may represent any real number or any numerical expression). The language also includes a large component of logic. The Language of Mathematics emphasizes all these features of the language (Esty, 1992).
The Language of Mathematics [Online]. Accessed 1/26/02:http://www.chemistrycoach.com/language.htm.
This Website contains a number of quotations that relate to the topic of mathematics as a language. Here are two examples:
Ordinary language is totally unsuited for expressing what physics really asserts, since the words of everyday life are not sufficiently abstract. Only mathematics and mathematical logic can say as little as the physicist means to say. Bertrand Russell, (1872-1970) The Scientific Outlook, 1931.
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The miracle of the appropriateness of the language of mathematics for the formulation of the laws of physics is a wonderful gift which we neither understand nor deserve. Eugene Paul Wigner, (1902-1995): The Unreasonable Effectiveness of Mathematics in the Natural Sciences.
 

sureshmathematics

dear user you know what is mathematics?

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What is Mathematics?
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"Dr. Dave" Moursund

What is Mathematics?

Mathematics is an old, broad, and deep discipline (field of study). People working to improve math education need to understand "What is Mathematics?"

A Tidbit of History

Mathematics as a formal area of teaching and learning was developed about 5,000 years ago by the Sumerians. They did this at the same time as they developed reading and writing. However, the roots of mathematics go back much more than 5,000 years.
Throughout their history, humans have faced the need to measure and communicate about time, quantity, and distance. The Ishango Bone (see ahttp://www.math.buffalo.edu/mad/
Ancient-Africa/ishango.html andhttp://www.naturalsciences.be/expo/ishango/
en/ishango/riddle.html) is a bone tool handle approximately 20,000 years old.

Figure 1
The picture given below shows Sumerian clay tokens whose use began about 11,000 years ago (seehttp://www.sumerian.org/tokens.htm). Such clay tokens were a predecessor to reading, writing, and mathematics.
Figure 2
The development of reading, writing, and formal mathematics 5,000 years ago allowed the codification of math knowledge, formal instruction in mathematics, and began a steady accumulation of mathematical knowledge.

Mathematics as a Discipline

A discipline (a organized, formal field of study) such as mathematics tends to be defined by the types of problems it addresses, the methods it uses to address these problems, and the results it has achieved. One way to organize this set of information is to divide it into the following three categories (of course, they overlap each other):
  1. Mathematics as a human endeavor. For example, consider the math of measurement of time such as years, seasons, months, weeks, days, and so on. Or, consider the measurement of distance, and the different systems of distance measurement that developed throughout the world. Or, think about math in art, dance, and music. There is a rich history of human development of mathematics and mathematical uses in our modern society.
  2. Mathematics as a discipline. You are familiar with lots of academic disciplines such as archeology, biology, chemistry, economics, history, psychology, sociology, and so on. Mathematics is a broad and deep discipline that is continuing to grow in breadth and depth. Nowadays, a Ph.D. research dissertation in mathematics is typically narrowly focused on definitions, theorems, and proofs related to a single problem in a narrow subfield in mathematics.
  3. Mathematics as an interdisciplinary language and tool. Like reading and writing, math is an important component of learning and "doing" (using one's knowledge) in each academic discipline. Mathematics is such a useful language and tool that it is considered one of the "basics" in our formal educational system.
To a large extent, students and many of their teachers tend to define mathematics in terms of what they learn in math courses, and these courses tend to focus on #3. The instructional and assessment focus tends to be on basic skills and on solving relatively simple problems using these basic skills. As the three-component discussion given above indicates, this is only part of mathematics.
Even within the third component, it is not clear what should be emphasized in curriculum, instruction, and assessment. The issue of basic skills versus higher-order skills is particularly important in math education. How much of the math education time should be spent in helping students gain a high level of accuracy and automaticity in basic computational and procedural skills? How much time should be spent on higher-order skills such as problem posing, problem representation, solving complex problems, and transferring math knowledge and skills to problems in non-math disciplines?

Beauty in Mathematics

Relatively few K-12 teachers study enough mathematics so that they understand and appreciate the breadth, depth, complexity, andbeauty of the discipline. Mathematicians often talk about the beauty of a particular proof or mathematical result. Do you remember any of your K-12 math teachers ever talking about the beauty of mathematics?
G. H. Hardy was one of the world's leading mathematicians in the first half of the 20th century. In his book "A Mathematician's Apology" he elaborates at length on differences between pure and applied mathematics. He discusses two examples of (beautiful) pure math problems. These are problems that some middle school and high school students might well solve, but are quite different than the types of mathematics addressed in our current K-12 curriculum. Both of these problems were solved more than 2,000 years ago and are representative of what mathematicians do.
  1. A rational number is one that can be expressed as a fraction of two integers. Prove that the square root of 2 is not a rational number. Note that the square root of 2 arises in a natural manner as one uses land-surveying and carpentering techniques.
  2. A prime number is a positive integer greater than 1 whose only positive integer divisors are itself and 1. Prove that there are an infinite number of prime numbers. In recent years, very large prime numbers have emerged as being quite useful in encryption of electronic messages.

Problem Solving

The following diagram can be used to discuss representing and solving applied math problems at the K-12 level. This diagram is especially useful in discussions of the current K-12 mathematics curriculum.
Figure 3
The six steps illustrated are 1) Problem posing; 2) Mathematical modeling; 3) Using a computational or algorithmic procedure to solve a computational or algorithmic math problem; 4) Mathematical "unmodeling"; 5) Thinking about the results to see if the Clearly-defined Problem has been solved,; and 6) Thinking about whether the original Problem Situation has been resolved. Steps 5 and 6 also involve thinking about related problems and problem situations that one might want to address or that are created by the process or attempting to solve the original Clearly-defined Problem or resolve the original Problem Situation. Click here for more information about problem solving.

Final Remarks

Here are four very important points that emerge from consideration of the diagram in Figure 3 and earlier material presented in this section:
  1. Mathematics is an aid to representing and attempting to resolve problem situations in all disciplines. It is an interdisciplinary tool and language.
  2. Computers and calculators are exceedingly fast, accurate, and capable at doing Step 3.
  3. Our current K-12 math curriculum spends the majority of its time teaching students to do Step 3 using the mental and physical tools (such as pencil and paper) that have been used for hundreds of year. We can think of this as teaching students to compete with machines, rather than to work with machines.
  4. Our current mathematics education system at the PreK-12 levels is unbalanced between lower-order knowledge and skills (with way to much emphasis on Step #3 in the diagram) and higher-order knowledge and skills (all of the other steps in the diagram). It is weak in mathematics as a human endeavor and as a discipline of study.
There are three powerful change agents that will eventually facilitate and force major changes in our math education system.
  • Brain Science, which is being greatly aided by brain scanning equipment and computer mapping and modeling of brain activities, is adding significantly to our understanding of how the brain learns math and uses its mathematical knowledge and skills.
  • Computer and Information Technology is providing powerful aids to many different research areas (such as Brain Science), to the teaching of math (for example, through the use of highly Interactive Intelligent Computer-Assisted Learning, perhaps delivered over the Internet), to the content of math (for example, Computational Mathematics), and to representing and automating the "procedures" part of doing math.
  • The steady growth of the totality of mathematical knowledge and its applications to representing and helping to solving problems in all academic disciplines.