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Prepared by: Math majors
The heart of education is the
education of the heart.

-EFA Act
At the end of this module, you are expected to:
1.

Discuss the elements that constitute the concept of
effective teaching of Mathematics, Natural
Science, Social Science, and the Language Arts

2.

Explain the concepts of mathematical inquiry and
scientific inquiry in problem solving, and the
concepts of communicative competence in

language arts learning
3. Develop a sense of independent critical
thinking, resourcefulness, and responsibility
Nature and Principles of Teaching
and Learning Mathematics


Mathematics relies on both logic and creativity.



It is studied both for a variety of practical
purposes and for its intrinsic interest.



For some people, and not only professional
mathematicians, the essence of mathematics lies
in its beauty and its intellectual challenge.


For others, including many scientists and

engineers, the chief value of mathematics is how
it applies to their own work.


Mathematics is the science of patterns and

relationships (Mahaniski, 2003).


As a theoretical discipline, mathematics explores
the possible relationships among abstract
numerical formulas without concern for whether
or not those abstractions have applicative

representations in the real world.


Previously unrelated parts of mathematics are found

to be derivable from one another, or from some more
general theory.


The sense of beauty of math lies not in finding the

greatest elaborateness or complexity but on the
contrary, in finding the greatest economy and
simplicity of representation and proof (Miller &

Alexander, 1996).


Mathematics is an applied science (Simon, 1995).



Many mathematicians focus their attention on problem
solving that originate in the world of experience.



In contrast to theoretical mathematicians, applied

mathematicians might study the interval pattern of
prime numbers to develop a new system for coding
numerical information, rather than as an abstract

problem.


The results of theoretical and applied mathematics

often influence each other.


Using mathematical inquiry to express ideas and solve

problems involves at least three phases:
(1)

Representing some aspects of things abstractly

(2)

Manipulating the abstractions by rules of logic to find
new relationships between them

(3)

Seeing whether the new relationships say something

useful about the original things (Leitzil, 1991).
Phase 1: Abstraction and Symbolic Representation


Mathematical thinking often begins with the process
of abstraction---that is, noticing a similarity between
two or more objects or events.



Aspects that they have in common, whether concrete
or hypothetical, can be represented by symbols such
as numbers, letters, other

marks, diagrams, geometrical constructions, or even
words.
Phase 1: Abstraction and Symbolic Representation


Such abstraction enables mathematicians to
concentrate on some features of things and
relieves them of the need to keep other features
continually in mind.
Phase 2: Manipulating Mathematical Statements


Simon (1995) explains that after abstractions have
been made and symbolic representations of them
have been selected, those symbols can be
combined and recombined in various ways
according to precisely defined rules.
Phase 2: Manipulating Mathematical Statements


Sometimes that is done with a fixed goal in mind; at
other times it is done in the context of experiment.



Sometimes an appropriate manipulation can be

identified easily from the intuitive meaning of the
constituent words and symbols; at other times a
useful series of manipulations has to be worked out

by trial and error.
Phase 2: Manipulating Mathematical Statements


Typically, strings of symbols are combined into
statements that express ideas or propositions.

Example: the symbol A for the area of any square
mat be used with the symbol s for the length of
the square’s side to form the proposition A=s^2.
Phase 2: Manipulating Mathematical Statements


In a sense, then, the manipulations of abstractions
is much like a game: Start with some basic
rules, then make any moves that fit those rules--which includes inventing additional rules and
finding new connections between old rules.
Phase 3: Application


Mathematical processes can lead to a kind of model of
a thing, from which insights can be gained about the
thing itself (Cole, Coffey, & Goldman, 1994).



Any mathematical relationships arrived at
manipulating abstract statements may or may not
convey something truthful about the thing being

molded.
Phase 3: Application


For example, if 2 cups of water are added to 3
cups of water and the abstract mathematical
operation 2+3=5 is used to calculate the total, the
correct answer is 5 cups of water.
Phase 3: Application


However, if 2 cups of sugar are added to 3 cups of
hot tea and the same operation is used, 5 is an
incorrect answer, for such an addition actually
results in only slightly more than 4 cups of very
sweet tea.
Phase 3: Application


Mathematics is essentially a process of thinking
that involves building and applying
abstract, logically connected networks of ideas.


Students learn mathematics through the

experiences that teachers provide.


Teachers must understand deeply the
mathematics they are teaching and be committed
to their students as learners and as human
beings.



There is no one “right way” to teach mathematics.


The teacher is responsible for creating an intellectual

environment in the classroom where serious
engagement in mathematical thinking is the norm.


Teachers need to increase their knowledge about
math and pedagogy, learn from their students, and
colleagues, and engage in professional development
and self-reflection.


Effective math teaching requires understanding what

students know and need to learn and then challenging
and supporting them to learn it well (Davidson, 1990).


Teaching math well is a complex endeavor, and there

are no easy recipes for helping all students learn or
for helping all teachers become effective.


Effective teaching requires reflection and continual

efforts.


Teachers need several different kinds of mathematical

knowledge.


Effective math teaching requires a serious commitment to
the development of students’ understanding of math.



In effective teaching, worthwhile mathematical tasks are
used to introduce important mathematical ideas and to
engage and challenge students intellectually

(Cole, Coffey, & Goldman, 1994).


Effective teaching math involves observing

students, listening carefully to their ideas, having
mathematical goals, and using the information to
make instructional decisions.


Learning the “basics” is important.



Learning with understanding also helps students
become autonomous learners.


When challenged with appropriately chosen

tasks, students can become confident in their
ability to tackle difficult problems, eager to figure
things out in their own, flexible in exploring
mathematical ideas, and willing to persevere when
tasks are challenging (Clarke & Wilson, 1994).
Nature and principles of teaching and learning math

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Nature and principles of teaching and learning math

  • 2. The heart of education is the education of the heart. -EFA Act
  • 3. At the end of this module, you are expected to: 1. Discuss the elements that constitute the concept of effective teaching of Mathematics, Natural Science, Social Science, and the Language Arts 2. Explain the concepts of mathematical inquiry and scientific inquiry in problem solving, and the concepts of communicative competence in language arts learning
  • 4. 3. Develop a sense of independent critical thinking, resourcefulness, and responsibility
  • 5. Nature and Principles of Teaching and Learning Mathematics
  • 6.  Mathematics relies on both logic and creativity.  It is studied both for a variety of practical purposes and for its intrinsic interest.  For some people, and not only professional mathematicians, the essence of mathematics lies in its beauty and its intellectual challenge.
  • 7.  For others, including many scientists and engineers, the chief value of mathematics is how it applies to their own work.
  • 8.  Mathematics is the science of patterns and relationships (Mahaniski, 2003).  As a theoretical discipline, mathematics explores the possible relationships among abstract numerical formulas without concern for whether or not those abstractions have applicative representations in the real world.
  • 9.  Previously unrelated parts of mathematics are found to be derivable from one another, or from some more general theory.  The sense of beauty of math lies not in finding the greatest elaborateness or complexity but on the contrary, in finding the greatest economy and simplicity of representation and proof (Miller & Alexander, 1996).
  • 10.  Mathematics is an applied science (Simon, 1995).  Many mathematicians focus their attention on problem solving that originate in the world of experience.  In contrast to theoretical mathematicians, applied mathematicians might study the interval pattern of prime numbers to develop a new system for coding numerical information, rather than as an abstract problem.
  • 11.  The results of theoretical and applied mathematics often influence each other.
  • 12.  Using mathematical inquiry to express ideas and solve problems involves at least three phases: (1) Representing some aspects of things abstractly (2) Manipulating the abstractions by rules of logic to find new relationships between them (3) Seeing whether the new relationships say something useful about the original things (Leitzil, 1991).
  • 13. Phase 1: Abstraction and Symbolic Representation  Mathematical thinking often begins with the process of abstraction---that is, noticing a similarity between two or more objects or events.  Aspects that they have in common, whether concrete or hypothetical, can be represented by symbols such as numbers, letters, other marks, diagrams, geometrical constructions, or even words.
  • 14. Phase 1: Abstraction and Symbolic Representation  Such abstraction enables mathematicians to concentrate on some features of things and relieves them of the need to keep other features continually in mind.
  • 15. Phase 2: Manipulating Mathematical Statements  Simon (1995) explains that after abstractions have been made and symbolic representations of them have been selected, those symbols can be combined and recombined in various ways according to precisely defined rules.
  • 16. Phase 2: Manipulating Mathematical Statements  Sometimes that is done with a fixed goal in mind; at other times it is done in the context of experiment.  Sometimes an appropriate manipulation can be identified easily from the intuitive meaning of the constituent words and symbols; at other times a useful series of manipulations has to be worked out by trial and error.
  • 17. Phase 2: Manipulating Mathematical Statements  Typically, strings of symbols are combined into statements that express ideas or propositions. Example: the symbol A for the area of any square mat be used with the symbol s for the length of the square’s side to form the proposition A=s^2.
  • 18. Phase 2: Manipulating Mathematical Statements  In a sense, then, the manipulations of abstractions is much like a game: Start with some basic rules, then make any moves that fit those rules--which includes inventing additional rules and finding new connections between old rules.
  • 19. Phase 3: Application  Mathematical processes can lead to a kind of model of a thing, from which insights can be gained about the thing itself (Cole, Coffey, & Goldman, 1994).  Any mathematical relationships arrived at manipulating abstract statements may or may not convey something truthful about the thing being molded.
  • 20. Phase 3: Application  For example, if 2 cups of water are added to 3 cups of water and the abstract mathematical operation 2+3=5 is used to calculate the total, the correct answer is 5 cups of water.
  • 21. Phase 3: Application  However, if 2 cups of sugar are added to 3 cups of hot tea and the same operation is used, 5 is an incorrect answer, for such an addition actually results in only slightly more than 4 cups of very sweet tea.
  • 22. Phase 3: Application  Mathematics is essentially a process of thinking that involves building and applying abstract, logically connected networks of ideas.
  • 23.  Students learn mathematics through the experiences that teachers provide.  Teachers must understand deeply the mathematics they are teaching and be committed to their students as learners and as human beings.  There is no one “right way” to teach mathematics.
  • 24.  The teacher is responsible for creating an intellectual environment in the classroom where serious engagement in mathematical thinking is the norm.  Teachers need to increase their knowledge about math and pedagogy, learn from their students, and colleagues, and engage in professional development and self-reflection.
  • 25.  Effective math teaching requires understanding what students know and need to learn and then challenging and supporting them to learn it well (Davidson, 1990).  Teaching math well is a complex endeavor, and there are no easy recipes for helping all students learn or for helping all teachers become effective.  Effective teaching requires reflection and continual efforts.
  • 26.  Teachers need several different kinds of mathematical knowledge.  Effective math teaching requires a serious commitment to the development of students’ understanding of math.  In effective teaching, worthwhile mathematical tasks are used to introduce important mathematical ideas and to engage and challenge students intellectually (Cole, Coffey, & Goldman, 1994).
  • 27.  Effective teaching math involves observing students, listening carefully to their ideas, having mathematical goals, and using the information to make instructional decisions.
  • 28.  Learning the “basics” is important.  Learning with understanding also helps students become autonomous learners.
  • 29.  When challenged with appropriately chosen tasks, students can become confident in their ability to tackle difficult problems, eager to figure things out in their own, flexible in exploring mathematical ideas, and willing to persevere when tasks are challenging (Clarke & Wilson, 1994).