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© Joan A. Cotter, Ph.D., 2 VII IMF Conference October 21, 2011 Sarasota, Florida by Joan A. Cotter, Ph.D. [email protected] Adding Visualization to Montessori Mathematics Presentation available: ALabacus.com 7 x 7 1000 10 1 100 7 3 7 3

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Page 1: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

VII

IMF ConferenceOctober 21, 2011Sarasota, Florida

by Joan A. Cotter, [email protected]

Adding Visualization toMontessori Mathematics

Presentation available: ALabacus.com

7 x 7

100010

1

100

7 3

7 3

Page 2: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model

• Number Rods• Spindle Boxes• Golden Bead materials• Snake Game• Dot Game • Stamp Game• Multiplication Board• Bead Frame

In Montessori, counting is pervasive:

Page 3: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting ModelFrom a child's perspective

Because we’re so familiar with 1, 2, 3, we’ll use letters.

A = 1B = 2C = 3D = 4E = 5, and so forth

Page 4: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

F + E

Page 5: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

A

F + E

Page 6: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

A B

F + E

Page 7: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

A CB

F + E

Page 8: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

A FC D EB

F + E

Page 9: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

AA FC D EB

F + E

Page 10: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

A BA FC D EB

F + E

Page 11: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

A C D EBA FC D EB

F + E

Page 12: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

A C D EBA FC D EB

F + E

What is the sum?(It must be a letter.)

Page 13: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

K

G I J KHA FC D EB

F + E

Page 14: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

Now memorize the facts!!

G + D

Page 15: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

Now memorize the facts!!

G + D

H + F

Page 16: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

Now memorize the facts!!

G + D

H + F

D + C

Page 17: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

Now memorize the facts!!

G + D

H + F

C + G

D + C

Page 18: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

E + I

Now memorize the facts!!

G + D

H + F

C + G

D + C

Page 19: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

Try subtractingby “taking away”

H – E

Page 20: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

Try skip counting by B’s to T: B, D, . . . T.

Page 21: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

Try skip counting by B’s to T: B, D, . . . T.

What is D E?

Page 22: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

Lis written ABbecause it is A J and B A’s

Page 23: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

Lis written ABbecause it is A J and B A’s

huh?

Page 24: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

Lis written ABbecause it is A J and B A’s

(twelve)

Page 25: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

Lis written ABbecause it is A J and B A’s

(12)(twelve)

Page 26: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

Lis written ABbecause it is A J and B A’s

(12)(one 10)

(twelve)

Page 27: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model From a child's perspective

Lis written ABbecause it is A J and B A’s

(12)(one 10)

(two 1s).

(twelve)

Page 28: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting ModelSummary

Page 29: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model

• Is not natural; it takes years of practice.Summary

Page 30: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model

• Is not natural; it takes years of practice.

• Provides poor concept of quantity.

Summary

Page 31: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model

• Is not natural; it takes years of practice.

• Provides poor concept of quantity.

• Ignores place value.

Summary

Page 32: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model

• Is not natural; it takes years of practice.

• Provides poor concept of quantity.

• Ignores place value.

• Is very error prone.

Summary

Page 33: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model

• Is not natural; it takes years of practice.

• Provides poor concept of quantity.

• Ignores place value.

• Is very error prone.

• Is tedious and time-consuming.

Summary

Page 34: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Counting Model

• Is not natural; it takes years of practice.

• Provides poor concept of quantity.

• Ignores place value.

• Is very error prone.

• Is tedious and time-consuming.

Summary

• Does not provide an efficient way to master the facts.

Page 35: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Calendar MathAugust

29

22

15

8

1

30

23

16

9

2

24

17

10

3

25

18

11

4

26

19

12

5

27

20

13

6

28

21

14

7

31

Sometimes calendars are used for counting.

Page 36: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Calendar MathAugust

29

22

15

8

1

30

23

16

9

2

24

17

10

3

25

18

11

4

26

19

12

5

27

20

13

6

28

21

14

7

31

Sometimes calendars are used for counting.

Page 37: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Calendar MathAugust

29

22

15

8

1

30

23

16

9

2

24

17

10

3

25

18

11

4

26

19

12

5

27

20

13

6

28

21

14

7

31

Page 38: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Calendar MathAugust

29

22

15

8

1

30

23

16

9

2

24

17

10

3

25

18

11

4

26

19

12

5

27

20

13

6

28

21

14

7

31

This is ordinal, not cardinal counting. The 3 doesn’t include the 1 and the 2.

Page 39: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Calendar MathSeptember123489101115161718222324252930

567121314192021262728

August

29

22

15

8

1

30

23

16

9

2

24

17

10

3

25

18

11

4

26

19

12

5

27

20

13

6

28

21

14

7

31

This is ordinal, not cardinal counting. The 4 doesn’t include 1, 2 and 3.

Page 40: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Calendar MathSeptember123489101115161718222324252930

567121314192021262728

August

29

22

15

8

1

30

23

16

9

2

24

17

10

3

25

18

11

4

26

19

12

5

27

20

13

6

28

21

14

7

31

1 2 3 4 5 6

A calendar is NOT like a ruler. On a ruler the numbers are not in the spaces.

Page 41: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Calendar MathAugust

8

1

9

2

10

3 4 5 6 7

Always show the whole calendar. A child needs to see the whole before the parts. Children also need to learn to plan ahead.

Page 42: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Calendar Math The calendar is not a number line.

• No quantity is involved.• Numbers are in spaces, not at lines like a ruler.

Page 43: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Calendar Math The calendar is not a number line.

• No quantity is involved.• Numbers are in spaces, not at lines like a ruler.

Children need to see the whole month, not just part.• Purpose of calendar is to plan ahead.• Many ways to show the current date.

Page 44: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Calendar Math The calendar is not a number line.

• No quantity is involved.• Numbers are in spaces, not at lines like a ruler.

Children need to see the whole month, not just part.• Purpose of calendar is to plan ahead.• Many ways to show the current date.

Calendars give a narrow view of patterning.• Patterns do not necessarily involve numbers.• Patterns rarely proceed row by row.• Patterns go on forever; they don’t stop at 31.

Page 45: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Memorizing Math

Percentage RecallImmediately After 1 day After 4 wks

Rote 32 23 8 Concept 69 69 58

Page 46: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Memorizing Math

Percentage RecallImmediately After 1 day After 4 wks

Rote 32 23 8 Concept 69 69 58

Page 47: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Memorizing Math

Percentage RecallImmediately After 1 day After 4 wks

Rote 32 23 8 Concept 69 69 58

Page 48: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Memorizing Math

Percentage RecallImmediately After 1 day After 4 wks

Rote 32 23 8 Concept 69 69 58

Page 49: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Memorizing Math

Percentage RecallImmediately After 1 day After 4 wks

Rote 32 23 8 Concept 69 69 58

Page 50: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Memorizing Math

Percentage RecallImmediately After 1 day After 4 wks

Rote 32 23 8 Concept 69 69 58

Page 51: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Memorizing Math

Math needs to be taught so 95% is understood and only 5% memorized.

Richard Skemp

Percentage RecallImmediately After 1 day After 4 wks

Rote 32 23 8 Concept 69 69 58

Page 52: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Memorizing MathFlash cards:

9 + 7

Page 53: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

• Are often used to teach rote.

Memorizing MathFlash cards:

9 + 7

Page 54: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

• Are often used to teach rote.

• Are liked only by those who don’t need them.

Memorizing MathFlash cards:

9 + 7

Page 55: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

• Are often used to teach rote.

• Are liked only by those who don’t need them.

• Don’t work for those with learning disabilities.

Memorizing MathFlash cards:

9 + 7

Page 56: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

• Are often used to teach rote.

• Are liked only by those who don’t need them.

• Don’t work for those with learning disabilities.

• Give the false impression that math isn’t about thinking.

Memorizing MathFlash cards:

9 + 7

Page 57: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

• Are often used to teach rote.

• Are liked only by those who don’t need them.

• Don’t work for those with learning disabilities.

• Give the false impression that math isn’t about thinking.

• Often produce stress – children under stress stop learning.

Memorizing Math 9 + 7Flash cards:

Page 58: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

• Are often used to teach rote.

• Are liked only by those who don’t need them.

• Don’t work for those with learning disabilities.

• Give the false impression that math isn’t about thinking.

• Often produce stress – children under stress stop learning.

• Are not concrete – use abstract symbols.

Memorizing Math 9 + 7Flash cards:

Page 59: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on CountingKaren Wynn’s research

Show the baby two teddy bears.

Page 60: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on Counting

Karen Wynn’s research

Then hide them with a screen.

Page 61: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on Counting

Karen Wynn’s research

Show the baby a third teddy bear and put it behind the screen.

Page 62: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on Counting

Karen Wynn’s research

Show the baby a third teddy bear and put it behind the screen.

Page 63: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on CountingKaren Wynn’s research

Raise screen. Baby seeing 3 won’t look long because it is expected.

Page 64: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on Counting

Karen Wynn’s research

Researcher can change the number of teddy bears behind the screen.

Page 65: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on CountingKaren Wynn’s research

A baby seeing 1 teddy bear will look much longer, because it’s unexpected.

Page 66: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on CountingOther research

Page 67: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on Counting

• Australian Aboriginal children from two tribes.Brian Butterworth, University College London, 2008.

Other research

These groups matched quantities without using counting words.

Page 68: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on Counting

• Australian Aboriginal children from two tribes.Brian Butterworth, University College London, 2008.

• Adult Pirahã from Amazon region.Edward Gibson and Michael Frank, MIT, 2008.

Other research

These groups matched quantities without using counting words.

Page 69: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on Counting

• Australian Aboriginal children from two tribes.Brian Butterworth, University College London, 2008.

• Adult Pirahã from Amazon region.Edward Gibson and Michael Frank, MIT, 2008.

• Adults, ages 18-50, from Boston.Edward Gibson and Michael Frank, MIT, 2008.

Other research

These groups matched quantities without using counting words.

Page 70: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on Counting

• Australian Aboriginal children from two tribes.Brian Butterworth, University College London, 2008.

• Adult Pirahã from Amazon region.Edward Gibson and Michael Frank, MIT, 2008.

• Adults, ages 18-50, from Boston.Edward Gibson and Michael Frank, MIT, 2008.

• Baby chicks from Italy.Lucia Regolin, University of Padova, 2009.

Other research

These groups matched quantities without using counting words.

Page 71: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on CountingIn Japanese schools:

• Children are discouraged from using counting for adding.

Page 72: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on CountingIn Japanese schools:

• Children are discouraged from using counting for adding.

• They consistently group in 5s.

Page 73: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on CountingSubitizing

• Subitizing is recognizing a quantity without counting.

Page 74: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on CountingSubitizing

• Subitizing is recognizing a quantity without counting.• Human babies and some animals can subitize small quantities at birth.

Page 75: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on CountingSubitizing

• Subitizing is recognizing a quantity without counting.

• “One could have grasped the idea of a square without being able to count to four, that is, without learning the number of sides and corners.”—Montessori

• Human babies and some animals can subitize small quantities at birth.

Said to contrast to teaching the names of a triangle and square by counting.

Page 76: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on CountingSubitizing

• Subitizing is recognizing a quantity without counting.

• “One could have grasped the idea of a square without being able to count to four, that is, without learning the number of sides and corners.”—Montessori

• Subitizing “allows the child to grasp the whole and the elements at the same time.”—Benoit

• Human babies and some animals can subitize small quantities at birth.

Page 77: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on CountingSubitizing

• Subitizing is recognizing a quantity without counting.

• “One could have grasped the idea of a square without being able to count to four, that is, without learning the number of sides and corners.”—Montessori

• Subitizing “allows the child to grasp the whole and the elements at the same time.”—Benoit

• Subitizing seems to be a necessary skill for under-standing what the counting process means.—Glasersfeld

• Human babies and some animals can subitize small quantities at birth.

Page 78: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on CountingSubitizing

• Subitizing is recognizing a quantity without counting.

• “One could have grasped the idea of a square without being able to count to four, that is, without learning the number of sides and corners.”—Montessori

• Children who can subitize perform better in mathematics.—Butterworth

• Subitizing “allows the child to grasp the whole and the elements at the same time.”—Benoit

• Subitizing seems to be a necessary skill for under-standing what the counting process means.—Glasersfeld

• Human babies and some animals can subitize small quantities at birth.

Page 79: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on CountingFinger gnosia

• Finger gnosia is the ability to know which fingers can been lightly touched without looking.

Page 80: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on CountingFinger gnosia

• Finger gnosia is the ability to know which fingers can been lightly touched without looking.

• Part of the brain controlling fingers is adjacent to math part of the brain.

Page 81: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Research on CountingFinger gnosia

• Finger gnosia is the ability to know which fingers can been lightly touched without looking.

• Part of the brain controlling fingers is adjacent to math part of the brain.

• Children who use their fingers as representational tools perform better in mathematics—Butterworth

Page 82: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing Mathematics

Page 83: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing Mathematics

“In our concern about the memorization of math facts or solving problems, we must not forget that the root of mathematical study is the creation of mental pictures in the imagination and manipulating those images and relationships using the power of reason and logic.”

Mindy Holte (E I)

Page 84: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing Mathematics

“Think in pictures, because the brain remembers images better than it does anything else.”  

Ben Pridmore, World Memory Champion, 2009

Page 85: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing Mathematics

“Mathematics is the activity of creating relationships, many of which are based in visual imagery.”

Wheatley and Cobb

Page 86: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing Mathematics

“The process of connecting symbols to imagery is at the heart of mathematics learning.”

Dienes

Page 87: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing Mathematics

“The role of physical manipulatives was to help the child form those visual images and thus to eliminate the need for the physical manipulatives.”

Ginsberg and others

Page 88: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

• Representative of structure of numbers.• Easily manipulated by children.• Imaginable mentally.

Visualizing MathematicsJapanese criteria for manipulatives

Japanese Council ofMathematics Education

Page 89: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing Mathematics

• Reading• Sports• Creativity• Geography• Engineering• Construction

Visualizing also needed in:

Page 90: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing Mathematics

• Reading• Sports• Creativity• Geography• Engineering• Construction

• Architecture• Astronomy• Archeology• Chemistry• Physics• Surgery

Visualizing also needed in:

Page 91: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing MathematicsReady: How many?

Page 92: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing MathematicsReady: How many?

Page 93: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing MathematicsTry again: How many?

Page 94: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing MathematicsTry again: How many?

Page 95: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing MathematicsTry again: How many?

Page 96: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing MathematicsReady: How many?

Page 97: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing MathematicsTry again: How many?

Page 98: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing MathematicsTry to visualize 8 identical apples without grouping.

Page 99: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing MathematicsTry to visualize 8 identical apples without grouping.

Page 100: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing MathematicsNow try to visualize 5 as red and 3 as green.

Page 101: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing MathematicsNow try to visualize 5 as red and 3 as green.

Page 102: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing Mathematics

I II III IIII V VIII

1 23458

Early Roman numerals

Romans grouped in fives. Notice 8 is 5 and 3.

Page 103: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Visualizing Mathematics

Who could read the music?

:

Music needs 10 lines, two groups of five.

Page 104: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesUsing fingers

Page 105: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesUsing fingers

Naming quantities is a three-period lesson.

Page 106: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesUsing fingers

Use left hand for 1-5 because we read from left to right.

Page 107: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesUsing fingers

Page 108: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesUsing fingers

Page 109: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesUsing fingers

Always show 7 as 5 and 2, not for example, as 4 and 3.

Page 110: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesUsing fingers

Page 111: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesYellow is the sun.Six is five and one.

Why is the sky so blue?Seven is five and two.

Salty is the sea.Eight is five and three.

Hear the thunder roar.Nine is five and four.

Ducks will swim and dive.Ten is five and five.

–Joan A. Cotter

Yellow is the Sun

Also set to music. Listen and download sheet music from Web site.

Page 112: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesRecognizing 5

Page 113: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesRecognizing 5

Page 114: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming Quantities

5 has a middle; 4 does not.

Recognizing 5

Look at your hand; your middle finger is longer to remind you 5 has a middle.

Page 115: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesTally sticks

Lay the sticks flat on a surface, about 1 inch (2.5 cm) apart.

Page 116: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesTally sticks

Page 117: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesTally sticks

Page 118: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesTally sticks

Stick is horizontal, because it won’t fit diagonally and young children have problems with diagonals.

Page 119: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesTally sticks

Page 120: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesTally sticks

Start a new row for every ten.

Page 121: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming Quantities

What is 4 apples plus 3 more apples?

Solving a problem without counting

How would you find the answer without counting?

Page 122: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming Quantities

What is 4 apples plus 3 more apples?

Solving a problem without counting

To remember 4 + 3, the Japanese child is taught to visualize 4 and 3. Then take 1 from the 3 and give it to the 4 to make 5 and 2.

Page 123: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming Quantities

1

2

3

4

5

NumberControlChart

To help the child learn the symbols

Page 124: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming Quantities

61

72

83

94

105

To help the child learn the symbols

NumberControlChart

Page 125: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming Quantities

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.QuickTime™ and a

TIFF (LZW) decompressorare needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.QuickTime™ and a

TIFF (LZW) decompressorare needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.QuickTime™ and a

TIFF (LZW) decompressorare needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.QuickTime™ and a

TIFF (LZW) decompressorare needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressorare needed to see this picture.QuickTime™ and aTIFF (LZW) decompressorare needed to see this picture.QuickTime™ and aTIFF (LZW) decompressorare needed to see this picture.QuickTime™ and aTIFF (LZW) decompressorare needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

Pairing Finger Cards

Use two sets of finger cards and match them.

Page 126: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming Quantities

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

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are needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

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QuickTime™ and aTIFF (LZW) decompressor

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Ordering Finger Cards

Putting the finger cards in order.

Page 127: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming Quantities

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.QuickTime™ and a

TIFF (LZW) decompressorare needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.QuickTime™ and a

TIFF (LZW) decompressorare needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.QuickTime™ and a

TIFF (LZW) decompressorare needed to see this picture.

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are needed to see this picture.QuickTime™ and a

TIFF (LZW) decompressorare needed to see this picture.

10

5 1

Matching Numbers to Finger Cards

Match the number to the finger card.

Page 128: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming Quantities

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

9 4Matching Fingers to Number Cards

1 610

2 83 57

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

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are needed to see this picture.

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are needed to see this picture.

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are needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

Match the finger card to the number.

Page 129: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming Quantities

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

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are needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressorare needed to see this picture.

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QuickTime™ and aTIFF (LZW) decompressorare needed to see this picture.

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are needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressorare needed to see this picture.

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are needed to see this picture.

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are needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressorare needed to see this picture.

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are needed to see this picture.

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are needed to see this picture.

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Finger Card Memory game

Use two sets of finger cards and play Memory.

Page 130: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesNumber Rods

Page 131: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesNumber Rods

Page 132: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesNumber Rods

Using different colors.

Page 133: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesSpindle Box

45 dark-colored and 10 light-colored spindles. Could be in separate containers.

Page 134: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesSpindle Box

45 dark-colored and 10 light-colored spindles in two containers.

Page 135: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesSpindle Box

1 2 30 4

The child takes blue spindles with left hand and yellow with right.

Page 136: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesSpindle Box

6 7 85 9

The child takes blue spindles with left hand and yellow with right.

Page 137: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesSpindle Box

6 7 85 9

The child takes blue spindles with left hand and yellow with right.

Page 138: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesSpindle Box

6 7 85 9

The child takes blue spindles with left hand and yellow with right.

Page 139: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesSpindle Box

6 7 85 9

The child takes blue spindles with left hand and yellow with right.

Page 140: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming QuantitiesSpindle Box

6 7 85 9

The child takes blue spindles with left hand and yellow with right.

Page 141: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

6 7 85 9

Naming QuantitiesSpindle Box

The child takes blue spindles with left hand and yellow with right.

Page 142: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Naming Quantities

“Grouped in fives so the child does not need to count.”

Black and White Bead Stairs

A. M. Joosten

This was the inspiration to group in 5s.

Page 143: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

AL Abacus1000 10 1100

Double-sided AL abacus. Side 1 is grouped in 5s.Trading Side introduces algorithms with trading.

Page 144: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

AL AbacusCleared

Page 145: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

3

AL AbacusEntering quantities

Quantities are entered all at once, not counted.

Page 146: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

5

AL AbacusEntering quantities

Relate quantities to hands.

Page 147: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

7

AL AbacusEntering quantities

Page 148: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

AL Abacus

10

Entering quantities

Page 149: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

AL AbacusThe stairs

Can use to “count” 1 to 10. Also read quantities on the right side.

Page 150: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

AL AbacusAdding

Page 151: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

AL AbacusAdding

4 + 3 =

Page 152: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

AL AbacusAdding

4 + 3 =

Page 153: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

AL AbacusAdding

4 + 3 =

Page 154: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

AL AbacusAdding

4 + 3 =

Page 155: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

AL AbacusAdding

4 + 3 = 7

Answer is seen immediately, no counting needed.

Page 156: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump GameAim: To learn the facts that total 10:

1 + 92 + 83 + 74 + 65 + 5

Children use the abacus while playing this “Go Fish” type game.

Page 157: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump GameAim: To learn the facts that total 10:

1 + 92 + 83 + 74 + 65 + 5

Object of the game: To collect the most pairs that equal ten.

Children use the abacus while playing this “Go Fish” type game.

Page 158: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

Starting

A game viewed from above.

Page 159: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

7 2 7 9 5

7 42 61 3 8 3 4 9

Go to the Dump Game

Starting

Each player takes 5 cards.

Page 160: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

Finding pairs

7 2 7 9 5

7 42 61 3 8 3 4 9

Does YellowCap have any pairs? [no]

Page 161: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

Finding pairs

7 2 7 9 5

7 42 61 3 8 3 4 9

Does BlueCap have any pairs? [yes, 1]

Page 162: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

Finding pairs

7 2 7 9 5

7 42 61 3 8 3 4 9

Does BlueCap have any pairs? [yes, 1]

Page 163: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

Finding pairs

7 2 7 9 5

7 2 1 3 8 3 4 9

4 6

Does BlueCap have any pairs? [yes, 1]

Page 164: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

Finding pairs

7 2 7 9 5

7 2 1 3 8 3 4 9

4 6

Does PinkCap have any pairs? [yes, 2]

Page 165: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

Finding pairs

7 2 7 9 5

7 2 1 3 8 3 4 9

4 6

Does PinkCap have any pairs? [yes, 2]

Page 166: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

Finding pairs

7 2 7 9 5

2 1 8 3 4 9

4 67 3

Does PinkCap have any pairs? [yes, 2]

Page 167: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

Finding pairs

7 2 7 9 5

1 3 4 9

4 62 82 8

Does PinkCap have any pairs? [yes, 2]

Page 168: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

Playing

7 2 7 9 5

1 3 4 9

4 62 82 8

The player asks the player on her left.

Page 169: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump GameBlueCap, do you

have a 3?BlueCap, do you

have an 3?

Playing

7 2 7 9 5

1 3 4 9

4 62 82 8

The player asks the player on her left.

Page 170: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump GameBlueCap, do you

have a 3?BlueCap, do you

have an 3?

Playing

7 2 7 9 5

1

3

4 9

4 62 82 8

The player asks the player on her left.

Page 171: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump GameBlueCap, do you

have a 3?BlueCap, do you

have an 3?

Playing

2 7 9 5

1 4 9

4 62 82 8

7 3

Page 172: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump GameBlueCap, do you

have a 3?BlueCap, do you

have an 8?

Playing

2 7 9 5

1 4 9

4 62 82 8

7 3

YellowCap gets another turn.

Page 173: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump GameBlueCap, do you

have a 3?BlueCap, do you

have an 8?

Go to the dump.Playing

2 7 9 5

1 4 9

4 62 82 8

7 3

YellowCap gets another turn.

Page 174: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

2

Go to the Dump GameBlueCap, do you

have a 3?BlueCap, do you

have an 8?

Go to the dump.Playing

2 7 9 5

1 4 9

4 62 82 8

7 3

Page 175: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

Playing

2 2 7 9 5

1 4 9

4 62 82 8

7 3

Page 176: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

PinkCap, do youhave a 6?Playing

2 2 7 9 5

1 4 9

4 62 82 8

7 3

Page 177: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

PinkCap, do youhave a 6?PlayingGo to the dump.

2 2 7 9 5

1 4 9

4 62 82 8

7 3

Page 178: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

5

Go to the Dump Game

Playing

2 2 7 9 5

1 4 9

4 62 82 8

7 3

Page 179: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

Playing

5

2 2 7 9 5

1 4 9

4 62 82 8

7 3

Page 180: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

YellowCap, doyou have a 9? Playing

5

2 2 7 9 5

1 4 9

4 62 82 8

7 3

Page 181: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

YellowCap, doyou have a 9? Playing

5

2 2 7 5

1 4 9

4 62 82 8

7 3

Page 182: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

YellowCap, doyou have a 9? Playing

5

2 2 7 5

1 4 9

4 62 82 8

7 3

9

Page 183: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

Playing

5

2 2 7 5

4 9

4 62 81 9

7 3

Page 184: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

2 9 1 7 7

Go to the Dump Game

Playing

5

2 2 7 5

4 9

4 62 81 9

7 3

PinkCap is not out of the game. Her turn ends, but she takes 5 more cards.

Page 185: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

Winner?

5 54 6

9 1

Page 186: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

Winner?

5546

91

No counting. Combine both stacks.

Page 187: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

Winner?

5546

91

Whose stack is the highest?

Page 188: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Go to the Dump Game

Next game

No shuffling needed for next game.

Page 189: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

Page 190: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

11 = ten 1

Page 191: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

11 = ten 112 = ten 2

Page 192: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

11 = ten 112 = ten 213 = ten 3

Page 193: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

11 = ten 112 = ten 213 = ten 314 = ten 4

Page 194: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

11 = ten 112 = ten 213 = ten 314 = ten 4 . . . .19 = ten 9

Page 195: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

11 = ten 112 = ten 213 = ten 314 = ten 4 . . . .19 = ten 9

20 = 2-ten

Don’t say “2-tens.” We don’t say 3 hundreds eleven for 311.

Page 196: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

11 = ten 112 = ten 213 = ten 314 = ten 4 . . . .19 = ten 9

20 = 2-ten 21 = 2-ten 1

Don’t say “2-tens.” We don’t say 3 hundreds eleven for 311.

Page 197: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

11 = ten 112 = ten 213 = ten 314 = ten 4 . . . .19 = ten 9

20 = 2-ten 21 = 2-ten 122 = 2-ten 2

Don’t say “2-tens.” We don’t say 3 hundreds eleven for 311.

Page 198: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

11 = ten 112 = ten 213 = ten 314 = ten 4 . . . .19 = ten 9

20 = 2-ten 21 = 2-ten 122 = 2-ten 223 = 2-ten 3

Don’t say “2-tens.” We don’t say 3 hundreds eleven for 311.

Page 199: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

11 = ten 112 = ten 213 = ten 314 = ten 4 . . . .19 = ten 9

20 = 2-ten 21 = 2-ten 122 = 2-ten 223 = 2-ten 3 . . . . . . . .99 = 9-ten 9

Page 200: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

137 = 1 hundred 3-ten 7

Only numbers under 100 need to be said the “math” way.

Page 201: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

137 = 1 hundred 3-ten 7or

137 = 1 hundred and 3-ten 7

Only numbers under 100 need to be said the “math” way.

Page 202: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

0

10

20

30

40

50

60

70

80

90

100

4 5 6Ages (yrs.)

Song, M., & Ginsburg, H. (1988). p. 326. The effect of the Korean number system on young children's counting: A natural experiment in numerical bilingualism. International Journal of Psychology, 23, 319-332.

Korean formal [math way]Korean informal [not explicit]

ChineseU.S.

Ave

rage

Hig

hest

Num

ber C

ount

ed

Shows how far children from 3 countries can count at ages 4, 5, and 6.

Page 203: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

0

10

20

30

40

50

60

70

80

90

100

4 5 6Ages (yrs.)

Song, M., & Ginsburg, H. (1988). p. 326. The effect of the Korean number system on young children's counting: A natural experiment in numerical bilingualism. International Journal of Psychology, 23, 319-332.

Korean formal [math way]Korean informal [not explicit]

ChineseU.S.

Ave

rage

Hig

hest

Num

ber C

ount

ed

Purple is Chinese. Note jump between ages 5 and 6.

Page 204: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

0

10

20

30

40

50

60

70

80

90

100

4 5 6Ages (yrs.)

Song, M., & Ginsburg, H. (1988). p. 326. The effect of the Korean number system on young children's counting: A natural experiment in numerical bilingualism. International Journal of Psychology, 23, 319-332.

Korean formal [math way]Korean informal [not explicit]

ChineseU.S.

Ave

rage

Hig

hest

Num

ber C

ount

ed

Dark green is Korean “math” way.

Page 205: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

0

10

20

30

40

50

60

70

80

90

100

4 5 6Ages (yrs.)

Song, M., & Ginsburg, H. (1988). p. 326. The effect of the Korean number system on young children's counting: A natural experiment in numerical bilingualism. International Journal of Psychology, 23, 319-332.

Korean formal [math way]Korean informal [not explicit]

ChineseU.S.

Ave

rage

Hig

hest

Num

ber C

ount

ed

Dotted green is everyday Korean; notice smaller jump between ages 5 and 6.

Page 206: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Math” Way of Naming Numbers

0

10

20

30

40

50

60

70

80

90

100

4 5 6Ages (yrs.)

Song, M., & Ginsburg, H. (1988). p. 326. The effect of the Korean number system on young children's counting: A natural experiment in numerical bilingualism. International Journal of Psychology, 23, 319-332.

Korean formal [math way]Korean informal [not explicit]

ChineseU.S.

Ave

rage

Hig

hest

Num

ber C

ount

ed

Red is English speakers. They learn same amount between ages 4-5 and 5-6.

Page 207: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Math Way of Naming Numbers• Only 11 words are needed to count to 100 the math way, 28 in English. (All Indo-European languages are non-standard in number naming.)

Page 208: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Math Way of Naming Numbers• Only 11 words are needed to count to 100 the math way, 28 in English. (All Indo-European languages are non-standard in number naming.)

• Asian children learn mathematics using the math way of counting.

Page 209: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Math Way of Naming Numbers• Only 11 words are needed to count to 100 the math way, 28 in English. (All Indo-European languages are non-standard in number naming.)

• Asian children learn mathematics using the math way of counting.

• They understand place value in first grade; only half of U.S. children understand place value at the end of fourth grade.

Page 210: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Math Way of Naming Numbers• Only 11 words are needed to count to 100 the math way, 28 in English. (All Indo-European languages are non-standard in number naming.)

• Asian children learn mathematics using the math way of counting.

• They understand place value in first grade; only half of U.S. children understand place value at the end of fourth grade.

• Mathematics is the science of patterns. The patterned math way of counting greatly helps children learn number sense.

Page 211: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Math Way of Naming NumbersCompared to reading:

Page 212: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Math Way of Naming Numbers

• Just as reciting the alphabet doesn’t teach reading, counting doesn’t teach arithmetic.

Compared to reading:

Page 213: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Math Way of Naming Numbers

• Just as reciting the alphabet doesn’t teach reading, counting doesn’t teach arithmetic.

• Just as we first teach the sound of the letters, we must first teach the name of the quantity (math way).

Compared to reading:

Page 214: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Math Way of Naming Numbers

• Just as reciting the alphabet doesn’t teach reading, counting doesn’t teach arithmetic.

• Just as we first teach the sound of the letters, we must first teach the name of the quantity (math way).

• Montessorians do use the math way of naming numbers but are too quick to switch to traditional names. Use the math way for a longer period of time.

Compared to reading:

Page 215: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Math Way of Naming Numbers

“Rather, the increased gap between Chinese and U.S. students and that of Chinese Americans and Caucasian Americans may be due primarily to the nature of their initial gap prior to formal schooling, such as counting efficiency and base-ten number sense.”

Jian Wang and Emily Lin, 2005Researchers

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Math Way of Naming NumbersTraditional names

4-ten = forty

The “ty” means tens.

Page 217: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Math Way of Naming NumbersTraditional names

4-ten = forty

The “ty” means tens.

The traditional names for 40, 60, 70, 80, and 90 follow a pattern.

Page 218: IMF: Visualization October 2011

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Math Way of Naming NumbersTraditional names

6-ten = sixty

The “ty” means tens.

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Math Way of Naming NumbersTraditional names

3-ten = thirty

“Thir” also used in 1/3, 13 and 30.

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Math Way of Naming NumbersTraditional names

5-ten = fifty

“Fif” also used in 1/5, 15 and 50.

Page 221: IMF: Visualization October 2011

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Math Way of Naming NumbersTraditional names

2-ten = twenty

Two used to be pronounced “twoo.”

Page 222: IMF: Visualization October 2011

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Math Way of Naming NumbersTraditional names

A word gamefireplace place-fire

Say the syllables backward. This is how we say the teen numbers.

Page 223: IMF: Visualization October 2011

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Math Way of Naming NumbersTraditional names

A word gamefireplace place-fire

paper-newsnewspaper

Say the syllables backward. This is how we say the teen numbers.

Page 224: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Math Way of Naming NumbersTraditional names

A word gamefireplace place-fire

paper-news

box-mail mailbox

newspaper

Say the syllables backward. This is how we say the teen numbers.

Page 225: IMF: Visualization October 2011

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Math Way of Naming NumbersTraditional names

ten 4

“Teen” also means ten.

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Math Way of Naming NumbersTraditional names

ten 4 teen 4

“Teen” also means ten.

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Math Way of Naming NumbersTraditional names

ten 4 teen 4 fourteen

“Teen” also means ten.

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Math Way of Naming NumbersTraditional names

a one left

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Math Way of Naming NumbersTraditional names

a one left a left-one

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Math Way of Naming NumbersTraditional names

a one left a left-one eleven

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Math Way of Naming NumbersTraditional names

two left

Two pronounced “twoo.”

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Math Way of Naming NumbersTraditional names

two left twelve

Two pronounced “twoo.”

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Composing Numbers

3-ten

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Composing Numbers

3-ten

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Composing Numbers

3-ten

3 0

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© Joan A. Cotter, Ph.D., 2011

Composing Numbers

3-ten

3 0

Point to the 3 and say 3.

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Composing Numbers

3-ten

3 0

Point to 0 and say 10. The 0 makes 3 a ten.

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Composing Numbers

3-ten 7

3 0

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© Joan A. Cotter, Ph.D., 2011

Composing Numbers

3-ten 7

3 0

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Composing Numbers

3-ten 7

3 0 7

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3 0

Composing Numbers

3-ten 7

7

Place the 7 on top of the 0 of the 30.

Page 242: IMF: Visualization October 2011

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Composing Numbers

3-ten 7

Notice the way we say the number, represent the number, and write the number all correspond.

3 07

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Composing Numbers

10-ten

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Composing Numbers

10-ten

1 0 0

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Composing Numbers

10-ten

1 0 0

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Composing Numbers

10-ten

1 0 0

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Composing Numbers

1 hundred

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© Joan A. Cotter, Ph.D., 2011

Composing Numbers

1 hundred

1 0 0

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Composing Numbers

1 hundred

1 0 0

Of course, we can also read it as one-hun-dred.

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Composing Numbers

1 hundred

1 01 01 0 0

Of course, we can also read it as one-hun-dred.

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Composing Numbers

1 hundred

1 0 0

Of course, we can also read it as one-hun-dred.

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2584 8

Composing Numbers

To read a number, students are often instructed to start at the right (ones column), contrary to normal reading of numbers and text:

Reading numbers backward

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2584 58

Composing Numbers

To read a number, students are often instructed to start at the right (ones column), contrary to normal reading of numbers and text:

Reading numbers backward

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2584258

Composing Numbers

To read a number, students are often instructed to start at the right (ones column), contrary to normal reading of numbers and text:

Reading numbers backward

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2584258

Composing Numbers

4

To read a number, students are often instructed to start at the right (ones column), contrary to normal reading of numbers and text:

Reading numbers backward

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2584258

Composing Numbers

4

To read a number, students are often instructed to start at the right (ones column), contrary to normal reading of numbers and text:

Reading numbers backward

The Decimal Cards encourage reading numbers in the normal order.

Page 257: IMF: Visualization October 2011

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Composing Numbers

In scientific notation, we “stand” on the left digit and note the number of digits to the right. (That’s why we shouldn’t refer to the 4 as the 4th column.)

Scientific Notation

4000 = 4 x 103

Page 258: IMF: Visualization October 2011

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Fact Strategies

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Fact Strategies

• A strategy is a way to learn a new fact or recall a forgotten fact.

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Fact Strategies

• A strategy is a way to learn a new fact or recall a forgotten fact.

• A visualizable representation is part of a powerful strategy.

Page 261: IMF: Visualization October 2011

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Fact StrategiesComplete the Ten

9 + 5 =

Page 262: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fact StrategiesComplete the Ten

9 + 5 =

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© Joan A. Cotter, Ph.D., 2011

Fact StrategiesComplete the Ten

9 + 5 =

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Fact StrategiesComplete the Ten

9 + 5 =

Take 1 from the 5 and give it to the 9.

Page 265: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fact StrategiesComplete the Ten

9 + 5 =

Take 1 from the 5 and give it to the 9.

Use two hands and move the beads simultaneously.

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© Joan A. Cotter, Ph.D., 2011

Fact StrategiesComplete the Ten

9 + 5 =

Take 1 from the 5 and give it to the 9.

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Fact StrategiesComplete the Ten

9 + 5 = 14

Take 1 from the 5 and give it to the 9.

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Fact StrategiesTwo Fives

8 + 6 =

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Fact StrategiesTwo Fives

8 + 6 =

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Fact StrategiesTwo Fives

8 + 6 =

Two fives make 10.

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Fact StrategiesTwo Fives

8 + 6 =

Just add the “leftovers.”

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Fact StrategiesTwo Fives

8 + 6 =10 + 4 = 14

Just add the “leftovers.”

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Fact StrategiesTwo Fives

7 + 5 =

Another example.

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Fact StrategiesTwo Fives

7 + 5 =

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Fact StrategiesTwo Fives

7 + 5 = 12

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Fact StrategiesGoing Down

15 – 9 =

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Fact StrategiesGoing Down

15 – 9 =

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Fact StrategiesGoing Down

15 – 9 =

Subtract 5;then 4.

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Fact StrategiesGoing Down

15 – 9 =

Subtract 5;then 4.

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Fact StrategiesGoing Down

15 – 9 =

Subtract 5;then 4.

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Fact StrategiesGoing Down

15 – 9 = 6

Subtract 5;then 4.

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© Joan A. Cotter, Ph.D., 2011

Fact StrategiesSubtract from 10

15 – 9 =

Page 283: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fact StrategiesSubtract from 10

15 – 9 =

Subtract 9 from 10.

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© Joan A. Cotter, Ph.D., 2011

Fact StrategiesSubtract from 10

15 – 9 =

Subtract 9 from 10.

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© Joan A. Cotter, Ph.D., 2011

Fact StrategiesSubtract from 10

15 – 9 =

Subtract 9 from 10.

Page 286: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fact StrategiesSubtract from 10

15 – 9 = 6

Subtract 9 from 10.

Page 287: IMF: Visualization October 2011

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Fact StrategiesGoing Up

13 – 9 =

Page 288: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fact StrategiesGoing Up

13 – 9 =

Start with 9; go up to 13.

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Fact StrategiesGoing Up

13 – 9 =

Start with 9; go up to 13.

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© Joan A. Cotter, Ph.D., 2011

Fact StrategiesGoing Up

13 – 9 =

Start with 9; go up to 13.

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Fact StrategiesGoing Up

13 – 9 =

Start with 9; go up to 13.

Page 292: IMF: Visualization October 2011

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Fact StrategiesGoing Up

13 – 9 =1 + 3 = 4

Start with 9; go up to 13.

Page 293: IMF: Visualization October 2011

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MoneyPenny

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MoneyNickel

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MoneyDime

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MoneyQuarter

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MoneyQuarter

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MoneyQuarter

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MoneyQuarter

Page 300: IMF: Visualization October 2011

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Bead Frame

1

10

100

1000

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Bead Frame

8+ 6

1

10

100

1000

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Bead Frame

8+ 6

1

10

100

1000

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Bead Frame

8+ 6

1

10

100

1000

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Bead Frame

8+ 6

1

10

100

1000

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Bead Frame

8+ 6

1

10

100

1000

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Bead Frame

8+ 6

1

10

100

1000

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Bead Frame

8+ 6

1

10

100

1000

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Bead Frame

8+ 6

1

10

100

1000

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Bead Frame

8+ 6

1

10

100

1000

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8+ 614

1

10

100

1000

Bead Frame

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Bead FrameDifficulties for the child

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• Distracting: Room is visible through the frame.

Bead FrameDifficulties for the child

Page 313: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

• Distracting: Room is visible through the frame.

• Not visualizable: Beads need to be grouped in fives.

Bead FrameDifficulties for the child

Page 314: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

• Distracting: Room is visible through the frame.

• Not visualizable: Beads need to be grouped in fives.

• Inconsistent with equation order when beads are moved right: Beads need to be moved left.

Bead FrameDifficulties for the child

Page 315: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

• Distracting: Room is visible through the frame.

• Not visualizable: Beads need to be grouped in fives.

• Inconsistent with equation order when beads are moved right: Beads need to be moved left.

• Hierarchies of numbers represented sideways: They need to be in vertical columns.

Bead FrameDifficulties for the child

Page 316: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

• Distracting: Room is visible through the frame.

• Not visualizable: Beads need to be grouped in fives.

• Inconsistent with equation order when beads are moved right: Beads need to be moved left.

• Hierarchies of numbers represented sideways: They need to be in vertical columns.

• Trading done before second number is completely added: Addends need to combined before trading.

Bead FrameDifficulties for the child

Page 317: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

• Distracting: Room is visible through the frame.

• Not visualizable: Beads need to be grouped in fives.

• Inconsistent with equation order when beads are moved right: Beads need to be moved left.

• Hierarchies of numbers represented sideways: They need to be in vertical columns.

• Trading done before second number is completely added: Addends need to combined before trading.

• Answer is read going up: We read top to bottom.

Bead FrameDifficulties for the child

Page 318: IMF: Visualization October 2011

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1000 10 1100

Trading SideCleared

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1000 10 1100

Trading SideThousands

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Trading SideHundreds

The third wire from each end is not used.

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Trading SideTens

The third wire from each end is not used.

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Trading SideOnes

The third wire from each end is not used.

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Trading SideAdding

8+ 6

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1000 10 1100

Trading SideAdding

8+ 6

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1000 10 1100

Trading SideAdding

8+ 6

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1000 10 1100

Trading SideAdding

8+ 6

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1000 10 1100

Trading SideAdding

8+ 614

Page 328: IMF: Visualization October 2011

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1000 10 1100

Trading SideAdding

8+ 614

Too many ones; trade 10 ones for 1 ten.

You can see the 10 ones (yellow).

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1000 10 1100

Trading SideAdding

8+ 614

Too many ones; trade 10 ones for 1 ten.

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1000 10 1100

Trading SideAdding

8+ 614

Too many ones; trade 10 ones for 1 ten.

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1000 10 1100

Trading SideAdding

8+ 614

Same answer before and after trading.

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1000 10 1100

Trading SideBead Trading game

Object: To get a high score by adding numbers on the green cards.

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1000 10 1100

Trading SideBead Trading game

Object: To get a high score by adding numbers on the green cards.

7

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1000 10 1100

Trading SideBead Trading game

Object: To get a high score by adding numbers on the green cards.

7

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1000 10 1100

Trading SideBead Trading game

6

Turn over another card. Enter 6 beads. Do we need to trade?

Page 336: IMF: Visualization October 2011

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1000 10 1100

Trading SideBead Trading game

6

Turn over another card. Enter 6 beads. Do we need to trade?

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1000 10 1100

Trading SideBead Trading game

6

Turn over another card. Enter 6 beads. Do we need to trade?

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1000 10 1100

Trading SideBead Trading game

6

Trade 10 ones for 1 ten.

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1000 10 1100

Trading SideBead Trading game

6

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1000 10 1100

Trading SideBead Trading game

6

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Trading SideBead Trading game

9

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1000 10 1100

Trading SideBead Trading game

9

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1000 10 1100

Trading SideBead Trading game

9

Another trade.

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1000 10 1100

Trading SideBead Trading game

9

Another trade.

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1000 10 1100

Trading SideBead Trading game

3

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1000 10 1100

Trading SideBead Trading game

3

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Trading SideBead Trading game

• In the Bead Trading game 10 ones for 1 ten occurs frequently;

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© Joan A. Cotter, Ph.D., 2011

Trading SideBead Trading game

• In the Bead Trading game 10 ones for 1 ten occurs frequently;10 tens for 1 hundred, less often;

Page 349: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Trading SideBead Trading game

• In the Bead Trading game 10 ones for 1 ten occurs frequently;10 tens for 1 hundred, less often;10 hundreds for 1 thousand, rarely.

Page 350: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Trading SideBead Trading game

• In the Bead Trading game 10 ones for 1 ten occurs frequently;10 tens for 1 hundred, less often;10 hundreds for 1 thousand, rarely.

• Bead trading helps the child experience the greater value of each column from left to right.

Page 351: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Trading SideBead Trading game

• In the Bead Trading game 10 ones for 1 ten occurs frequently;10 tens for 1 hundred, less often;10 hundreds for 1 thousand, rarely.

• Bead trading helps the child experience the greater value of each column from left to right.

• To detect a pattern, there must be at least three examples in the sequence. (Place value is a pattern.)

Page 352: IMF: Visualization October 2011

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1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

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1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

Enter the first number from left to right.

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© Joan A. Cotter, Ph.D., 2011

1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

Enter the first number from left to right.

Page 355: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

Enter the first number from left to right.

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© Joan A. Cotter, Ph.D., 2011

1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

Enter the first number from left to right.

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© Joan A. Cotter, Ph.D., 2011

1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

Enter the first number from left to right.

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© Joan A. Cotter, Ph.D., 2011

1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

Enter the first number from left to right.

Page 359: IMF: Visualization October 2011

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1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

Add starting at the right. Write results after each step.

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© Joan A. Cotter, Ph.D., 2011

1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

Add starting at the right. Write results after each step.

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1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

Add starting at the right. Write results after each step.

Page 362: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

Add starting at the right. Write results after each step.

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1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

6

Add starting at the right. Write results after each step.

. . . 6 ones. Did anything else happen?

Page 364: IMF: Visualization October 2011

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1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

6

Add starting at the right. Write results after each step.

1

Is it okay to show the extra ten by writing a 1 above the tens column?

Page 365: IMF: Visualization October 2011

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1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

6

Add starting at the right. Write results after each step.

1

Page 366: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

6

Add starting at the right. Write results after each step.

1

Do we need to trade? [no]

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1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

96

Add starting at the right. Write results after each step.

1

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1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

96

Add starting at the right. Write results after each step.

1

Page 369: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

96

Add starting at the right. Write results after each step.

1

Do we need to trade? [yes]

Page 370: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

96

Add starting at the right. Write results after each step.

1

Notice the number of yellow beads. [3] Notice the number of blue beads left. [3] Coincidence? No, because 13 – 10 = 3.

Page 371: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

96

Add starting at the right. Write results after each step.

1

Page 372: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

396

Add starting at the right. Write results after each step.

1

Page 373: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

396

Add starting at the right. Write results after each step.

11

Page 374: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

396

Add starting at the right. Write results after each step.

11

Page 375: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

396

Add starting at the right. Write results after each step.

11

Page 376: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

6396

Add starting at the right. Write results after each step.

11

Page 377: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1000 10 1100

Trading SideAdding 4-digit numbers

3658+ 2738

6396

Add starting at the right. Write results after each step.

11

Page 378: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

The Stamp Game

1000 100 10 1

1000 100 10 1

100 10 1

100 10 1

100 10 1

100 1

1000 100 10 1

1000 100 10 1

Page 379: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

The Stamp Game

1000 100 10 1

1000 100 10 1

100 10 1

100 10 1

100 10 1

100 1

1000 100 10 1

1000 100 10 1

Page 380: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

The Stamp Game

100 10 1100 10 1

100 10 1100 10 1

10 1 1

1000 100 10 11000 100 10 1

1000 100 10 11000 100 10 1

10

10

100 100

100 100

100 100

100 100

Page 381: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

The Stamp Game

100 10 1100 10 1

100 10 1100 10 1

10 1 1

1000 100 10 11000 100 1

1000 100 10 11000 100 10 1

10

10

100 100

100 100

100 100

100 100

10

Page 382: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

The Stamp Game

100 10 1100 10 1

100 10 1100 10 1

10 1 1

1000 100 10 11000 100 1

1000 100 10 11000 100 10 1

10

10

100 100

100 100

100 100

100 100

10

Page 383: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusBasic facts

6 4 =(6 taken 4 times)

Page 384: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusBasic facts

6 4 =(6 taken 4 times)

Page 385: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusBasic facts

6 4 =(6 taken 4 times)

Page 386: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusBasic facts

6 4 =(6 taken 4 times)

Page 387: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusBasic facts

6 4 =(6 taken 4 times)

Page 388: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusBasic facts

9 3 =

Page 389: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusBasic facts

9 3 =

Page 390: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusBasic facts

9 3 =30

Page 391: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusBasic facts

9 3 =30 – 3 = 27

Page 392: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusBasic facts

4 8 =

Page 393: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusBasic facts

4 8 =

Page 394: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusBasic facts

4 8 =

Page 395: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusBasic facts

4 8 =20 + 12 = 32

Page 396: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusBasic facts

7 7 =

Page 397: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusBasic facts

7 7 =

Page 398: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusBasic facts

7 7 =25 + 10 + 10 + 4 = 49

Page 399: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusCommutative property

5 6 =

Page 400: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusCommutative property

5 6 =

Page 401: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusCommutative property

5 6 =

Page 402: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiplication on the AL AbacusCommutative property

5 6 = 6 5

Page 403: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

7 8 =

This method was used in the Middle Ages, rather than memorize the facts > 5 5.

Multiplication on the AL AbacusFor facts > 5 5

Page 404: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

7 8 =

This method was used in the Middle Ages, rather than memorize the facts > 5 5.

Multiplication on the AL AbacusFor facts > 5 5

Page 405: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

7 8 =

This method was used in the Middle Ages, rather than memorize the facts > 5 5.

Multiplication on the AL AbacusFor facts > 5 5

Tens:

Page 406: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

7 8 =

This method was used in the Middle Ages, rather than memorize the facts > 5 5.

Multiplication on the AL AbacusFor facts > 5 5

Tens:

Page 407: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

7 8 =

This method was used in the Middle Ages, rather than memorize the facts > 5 5.

Multiplication on the AL AbacusFor facts > 5 5

Tens: 20+ 30

Page 408: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

7 8 =50 +

This method was used in the Middle Ages, rather than memorize the facts > 5 5.

Multiplication on the AL AbacusFor facts > 5 5

Tens: 20+ 30

50

Page 409: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

7 8 =50 +

This method was used in the Middle Ages, rather than memorize the facts > 5 5.

Multiplication on the AL AbacusFor facts > 5 5

Tens: Ones:20+ 30

50

Page 410: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

7 8 =50 +

This method was used in the Middle Ages, rather than memorize the facts > 5 5.

Multiplication on the AL AbacusFor facts > 5 5

Tens: Ones:20+ 30

50

Page 411: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

7 8 =50 +

This method was used in the Middle Ages, rather than memorize the facts > 5 5.

Multiplication on the AL AbacusFor facts > 5 5

Tens: Ones: 3 2

20+ 30

50

Page 412: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

7 8 =50 + 6

This method was used in the Middle Ages, rather than memorize the facts > 5 5.

Multiplication on the AL AbacusFor facts > 5 5

Tens: Ones: 3 26

20+ 30

50

Page 413: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

7 8 =50 + 6 = 56

This method was used in the Middle Ages, rather than memorize the facts > 5 5.

Multiplication on the AL AbacusFor facts > 5 5

Tens: Ones: 3 26

20+ 30

50

Page 414: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

9 7 =

Multiplication on the AL AbacusFor facts > 5 5

Page 415: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

9 7 =

Multiplication on the AL AbacusFor facts > 5 5

Page 416: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

9 7 =

Multiplication on the AL AbacusFor facts > 5 5

Tens:

Page 417: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

9 7 =

Multiplication on the AL AbacusFor facts > 5 5

Tens:

Page 418: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

9 7 =

Multiplication on the AL AbacusFor facts > 5 5

Tens: 40+ 20

Page 419: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

9 7 =60 +

Multiplication on the AL AbacusFor facts > 5 5

Tens: 40+ 20

60

Page 420: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

9 7 =60 +

Multiplication on the AL AbacusFor facts > 5 5

Tens: Ones:40+ 20

60

Page 421: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

9 7 =60 +

Multiplication on the AL AbacusFor facts > 5 5

Tens: Ones:40+ 20

60

Page 422: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

9 7 =60 +

Multiplication on the AL AbacusFor facts > 5 5

Tens: Ones: 1 3

40+ 20

60

Page 423: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

9 7 =60 + 3

Multiplication on the AL AbacusFor facts > 5 5

Tens: Ones:40+ 20

60

1 3

3

Page 424: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

9 7 =60 + 3 = 63

Multiplication on the AL AbacusFor facts > 5 5

Tens: Ones: 1 3

3

40+ 20

60

Page 425: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

The Multiplication Board1 2 3 4 5 6 7 8 9 10

6

6 4

6 x 4 on original multiplication board.

Page 426: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 9 10

6

The Multiplication Board

6 4

Using two colors.

Page 427: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

The Multiplication Board1 2 3 4 5 6 7 8 9 10

7

7 7

7 x 7 on original multiplication board.

Page 428: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 9 10

7

The Multiplication Board

7 7

Upper left square is 25, yellow rectangles are 10. So, 25, 35, 45, 49.

Page 429: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

The Multiplication Board

7 7

Less clutter.

Page 430: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsTwos

2 4 6 8 10

12 14 16 18 20

Recognizing multiples needed for fractions and algebra.

Page 431: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsTwos

2 4 6 8 10

12 14 16 18 20

The ones repeat in the second row.

Recognizing multiples needed for fractions and algebra.

Page 432: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsTwos

2 4 6 8 10

12 14 16 18 20

The ones repeat in the second row.

Recognizing multiples needed for fractions and algebra.

Page 433: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsTwos

2 4 6 8 10

12 14 16 18 20

The ones repeat in the second row.

Recognizing multiples needed for fractions and algebra.

Page 434: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsTwos

2 4 6 8 10

12 14 16 18 20

The ones repeat in the second row.

Recognizing multiples needed for fractions and algebra.

Page 435: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsTwos

2 4 6 8 10

12 14 16 18 20

The ones repeat in the second row.

Recognizing multiples needed for fractions and algebra.

Page 436: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsFours

4 8 12 16 20

24 28 32 36 40

Page 437: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsFours

4 8 12 16 20

24 28 32 36 40

The ones repeat in the second row.

Page 438: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSixes and Eights

6 12 18 24 30

36 42 48 54 60

8 16 24 32 40

48 56 64 72 80

Page 439: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSixes and Eights

6 12 18 24 30

36 42 48 54 60

8 16 24 32 40

48 56 64 72 80

Page 440: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSixes and Eights

6 12 18 24 30

36 42 48 54 60

8 16 24 32 40

48 56 64 72 80

Again the ones repeat in the second row.

Page 441: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSixes and Eights

6 12 18 24 30

36 42 48 54 60

8 16 24 32 40

48 56 64 72 80

The ones in the 8s show the multiples of 2.

Page 442: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSixes and Eights

6 12 18 24 30

36 42 48 54 60

8 16 24 32 40

48 56 64 72 80

The ones in the 8s show the multiples of 2.

Page 443: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSixes and Eights

6 12 18 24 30

36 42 48 54 60

8 16 24 32 40

48 56 64 72 80

The ones in the 8s show the multiples of 2.

Page 444: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSixes and Eights

6 12 18 24 30

36 42 48 54 60

8 16 24 32 40

48 56 64 72 80

The ones in the 8s show the multiples of 2.

Page 445: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSixes and Eights

6 12 18 24 30

36 42 48 54 60

8 16 24 32 40

48 56 64 72 80

The ones in the 8s show the multiples of 2.

Page 446: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSixes and Eights

6 12 18 24 30

36 42 48 54 60

8 16 24 32 40

48 56 64 72 80

6 4

6 4 is the fourth number (multiple).

Page 447: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSixes and Eights

6 12 18 24 30

36 42 48 54 60

8 16 24 32 40

48 56 64 72 80 8 7

8 7 is the seventh number (multiple).

Page 448: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsNines

9 18 27 36 45

90 81 72 63 54

The second row is written in reverse order.Also the digits in each number add to 9.

Page 449: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsThrees

3 6 9

12 15 18

21 24 27

30

The 3s have several patterns: Observe the ones.

Page 450: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsThrees

3 6 9

12 15 18

21 24 27

30

The 3s have several patterns: Observe the ones.

Page 451: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsThrees

3 6 9

12 15 18

21 24 27

30

The 3s have several patterns: Observe the ones.

Page 452: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsThrees

3 6 9

12 15 18

21 24 27

30

The 3s have several patterns: Observe the ones.

Page 453: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsThrees

3 6 9

12 15 18

21 24 27

30

The 3s have several patterns: Observe the ones.

Page 454: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsThrees

3 6 9

12 15 18

21 24 27

30

The 3s have several patterns: Observe the ones.

Page 455: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsThrees

3 6 9

12 15 18

21 24 27

30

The 3s have several patterns: Observe the ones.

Page 456: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsThrees

3 6 9

12 15 18

21 24 27

30

The 3s have several patterns: Observe the ones.

Page 457: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsThrees

3 6 9

12 15 18

21 24 27

30

The 3s have several patterns: Observe the ones.

Page 458: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsThrees

3 6 9

12 15 18

21 24 27

30

The 3s have several patterns: Observe the ones.

Page 459: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsThrees

3 6 9

12 15 18

21 24 27

30

The 3s have several patterns: Observe the ones.

Page 460: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsThrees

3 6 9

12 15 18

21 24 27

30

The 3s have several patterns: The tens are the same in each row.

Page 461: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsThrees

3 6 9

12 15 18

21 24 27

30

The 3s have several patterns: Add the digits in the columns.

Page 462: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsThrees

3 6 9

12 15 18

21 24 27

30

The 3s have several patterns: Add the digits in the columns.

Page 463: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsThrees

3 6 9

12 15 18

21 24 27

30

The 3s have several patterns: Add the digits in the columns.

Page 464: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSevens

7 14 21

28 35 42

49 56 63

70

The 7s have the 1, 2, 3… pattern.

Page 465: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSevens

7 14 21

28 35 42

49 56 63

70

The 7s have the 1, 2, 3… pattern.

Page 466: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSevens

7 14 21

28 35 42

49 56 63

70

The 7s have the 1, 2, 3… pattern.

Page 467: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSevens

7 14 21

28 35 42

49 56 63

70

The 7s have the 1, 2, 3… pattern.

Page 468: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSevens

7 14 21

28 35 42

49 56 63

70

Look at the tens.

Page 469: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSevens

7 14 21

28 35 42

49 56 63

70

Look at the tens.

Page 470: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSevens

7 14 21

28 35 42

49 56 63

70

Look at the tens.

Page 471: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples PatternsSevens

7 14 21

28 35 42

49 56 63

70

Look at the tens.

Page 472: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

Aim: To help the players learn the multiples patterns.

“Multiples” are sometimes referred to as “skip counting.”

Page 473: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

Object of the game: To be the first player to collect all ten cards of a multiple in order.

Aim: To help the players learn the multiples patterns.

Page 474: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

The 7s envelope contains 10 cards, each with one of the numbers listed.

7 14 2128 35 4249 56 63

70

Page 475: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

The 8s envelope contains 10 cards, each with one of the numbers listed.

8 16 24 32 4048 56 64 72 80

Page 476: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8 16 24 32 4048 56 64 72 80

7 14 2128 35 4249 56 6370

7 14 2128 35 4249 56 6370

8 16 24 32 4048 56 64 72 80

Players may refer to their envelopes at all times.

Page 477: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8 16 24 32 4048 56 64 72 80

7 14 2128 35 4249 56 6370

7 14 2128 35 4249 56 6370

8 16 24 32 4048 56 64 72 80

Players may refer to their envelopes at all times.

Page 478: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

7 14 2128 35 4249 56 6370

7 14 2128 35 4249 56 6370

8 16 24 32 4048 56 64 72 80

Players may refer to their envelopes at all times.

Page 479: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

14

8 16 24 32 4048 56 64 72 80

7 14 2128 35 4249 56 6370

7 14 2128 35 4249 56 6370

The 7s player is looking for a 7.

Page 480: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8 16 24 32 4048 56 64 72 80

7 14 2128 35 4249 56 6370

7 14 2128 35 4249 56 6370

Wrong card, so it is turned face down in its original space.

Page 481: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8 16 24 32 4048 56 64 72 80

7 14 2128 35 4249 56 6370

8 16 24 32 4048 56 64 72 80

The 8s player takes a turn.

Page 482: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

40

8 16 24 32 4048 56 64 72 80

7 14 2128 35 4249 56 6370

8 16 24 32 4048 56 64 72 80

Cannot use this card yet.

Page 483: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8 16 24 32 4048 56 64 72 80

7 14 2128 35 4249 56 6370

8 16 24 32 4048 56 64 72 80

Card returned.

Page 484: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8 16 24 32 4048 56 64 72 80

7 14 2128 35 4249 56 6370

7 14 2128 35 4249 56 6370

Page 485: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8

8 16 24 32 4048 56 64 72 80

7 14 2128 35 4249 56 6370

7 14 2128 35 4249 56 6370

Page 486: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8 16 24 32 4048 56 64 72 80

7 14 2128 35 4249 56 6370

7 14 2128 35 4249 56 6370

Page 487: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8 16 24 32 4048 56 64 72 80

7 14 2128 35 4249 56 6370

8 16 24 32 4048 56 64 72 80

Page 488: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8

8 16 24 32 4048 56 64 72 80

7 14 2128 35 4249 56 6370

8 16 24 32 4048 56 64 72 80

Page 489: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8 16 24 32 4048 56 64 72 80

88

7 14 2128 35 4249 56 6370

8 16 24 32 4048 56 64 72 80

The needed card is collected. Receives another turn.

Page 490: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8 16 24 32 4048 56 64 72 80

8856

7 14 2128 35 4249 56 6370

8 16 24 32 4048 56 64 72 80

Who needs 56? [both 7s and 8s] At least one card per game is a duplicate.

Page 491: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8 16 24 32 4048 56 64 72 80

88

7 14 2128 35 4249 56 6370

8 16 24 32 4048 56 64 72 80

Page 492: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8 16 24 32 4048 56 64 72 80

88

7 14 2128 35 4249 56 6370

7 14 2128 35 4249 56 6370

Page 493: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8 16 24 32 4048 56 64 72 80

88

7 7 14 2128 35 4249 56 6370

7 14 2128 35 4249 56 6370

The needed card.

Page 494: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8 16 24 32 4048 56 64 72 80

88

7

7 14 2128 35 4249 56 6370

7 14 2128 35 4249 56 6370

Where is that 14?

Page 495: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8 16 24 32 4048 56 64 72 80

88

7

14

7 14 2128 35 4249 56 6370

7 14 2128 35 4249 56 6370

Page 496: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8 16 24 32 4048 56 64 72 80

88

7 14

7 14 2128 35 4249 56 6370

7 14 2128 35 4249 56 6370

Page 497: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Multiples Memory

8 16 24 32 4048 56 64 72 80

88

7 14

24 7 14 2128 35 4249 56 6370

7 14 2128 35 4249 56 6370

A another turn.

Page 498: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

7 14 2128 35 4249 56 6370

Multiples Memory

8 16 24 32 4048 56 64 72 80

88

7 14

7 14 2128 35 4249 56 6370

8 16 24 32 4048 56 64 72 80

We’ll never know who won.

Page 499: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

7 14 2128 35 4249 56 6370

Multiples Memory

8 16 24 32 4048 56 64 72 80

8 16 24 32 4048 56 64 72 80

7 14 2128 35 4249 56 6370

We’ll never know who won.

Page 500: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fraction Chart1

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Giving the child the big picture, a Montessori principle.

Page 501: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fraction Chart1

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How many fourths in a whole? Giving the child the big picture, a Montessori principle.

Page 502: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fraction Chart1

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How many fourths in a whole? Giving the child the big picture, a Montessori principle.

Page 503: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fraction Chart1

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How many fourths in a whole? Giving the child the big picture, a Montessori principle.

Page 504: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fraction Chart1

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How many fourths in a whole? Giving the child the big picture, a Montessori principle.

Page 505: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fraction Chart1

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How many fourths in a whole? Giving the child the big picture, a Montessori principle.

Page 506: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fraction Chart1

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How many eighths in a whole?

Page 507: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fraction Chart1

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Which is more, 3/4 or 4/5?

Page 508: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fraction Chart1

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Which is more, 3/4 or 4/5?

Page 509: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fraction Chart1

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Which is more, 3/4 or 4/5?

Page 510: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fraction Chart1

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Which is more, 3/4 or 4/5?

Page 511: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fraction Chart

1

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Stairs (Unit fractions)

Page 512: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fraction Chart

1

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110

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A hyperbola.

Stairs (Unit fractions)

Page 513: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

112

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Fraction Chart

18

9/8 is 1 and 1/8.

Page 514: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Pie” Model

Are we comparing angles, arcs, or area?

Page 515: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Pie” Model

61

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1

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Try to compare 4/5 and 5/6 with this model.

Page 516: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Pie” Model

Experts in visual literacy say that comparing quantities in pie charts is difficult because most people think linearly. It is easier to compare along a straight line than compare pie slices. askoxford.com

Page 517: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Pie” Model

Experts in visual literacy say that comparing quantities in pie charts is difficult because most people think linearly. It is easier to compare along a straight line than compare pie slices. askoxford.com

Specialists also suggest refraining from using more than one pie chart for comparison.

statcan.ca

Page 518: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Pie” ModelDifficulties

Page 519: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Pie” ModelDifficulties

• Perpetuates cultural myth fractions always < 1.

Page 520: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Pie” ModelDifficulties

• Perpetuates cultural myth fractions always < 1.

• Requires counting pieces.

Page 521: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Pie” ModelDifficulties

• Perpetuates cultural myth fractions always < 1.

• Requires counting pieces.

• It does not give child the “big picture.”

Page 522: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Pie” ModelDifficulties

• Perpetuates cultural myth fractions always < 1.

• Requires counting pieces.

• It does not give child the “big picture.”

• A fraction is much more than “a part of a set of part of a whole.”

Page 523: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Pie” ModelDifficulties

• Perpetuates cultural myth fractions always < 1.

• Requires counting pieces.

• It does not give child the “big picture.”

• A fraction is much more than “a part of a set of part of a whole.”

• Difficult for the child to see how fractions relate to each other.

Page 524: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

“Pie” ModelDifficulties

• Perpetuates cultural myth fractions always < 1.

• Requires counting pieces.

• It does not give child the “big picture.”

• A fraction is much more than “a part of a set of part of a whole.”

• Difficult for the child to see how fractions relate to each other.

• Is the user comparing angles, arcs, or area?

Page 525: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

112

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Fraction War

Page 526: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

112

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Fraction War

Page 527: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fraction War

Page 528: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fraction War

1 2 3 4 5 6

Especially useful for learning to read a ruler with inches.

Page 529: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

Fraction War1

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Page 530: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 92 4 6 8 10 12 14 16 183 6 9 12 15 18 21 24 274 8 12 16 20 24 28 32 36

10203040

6 12 18 24 30 36 42 48 54 607 14 21 28 35 42 49 56 63 708 16 24 32 40 48 56 64 72 809 18 27 36 45 54 63 72 81 90

10 20 30 40 50 60 70 80 90 1

5 10 15 20 25 30 35 40 45 50

00

Simplifying Fractions

Page 531: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 92 4 6 8 10 12 14 16 183 6 9 12 15 18 21 24 274 8 12 16 20 24 28 32 36

10203040

6 12 18 24 30 36 42 48 54 607 14 21 28 35 42 49 56 63 708 16 24 32 40 48 56 64 72 809 18 27 36 45 54 63 72 81 90

10 20 30 40 50 60 70 80 90 1

5 10 15 20 25 30 35 40 45 50

00

Simplifying Fractions

Page 532: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 92 4 6 8 10 12 14 16 183 6 9 12 15 18 21 24 274 8 12 16 20 24 28 32 36

10203040

6 12 18 24 30 36 42 48 54 607 14 21 28 35 42 49 56 63 708 16 24 32 40 48 56 64 72 809 18 27 36 45 54 63 72 81 90

10 20 30 40 50 60 70 80 90 1

5 10 15 20 25 30 35 40 45 50

00

Simplifying Fractions

The fraction 4/8 can be reduced on the multiplication table as 1/2.

Page 533: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 92 4 6 8 10 12 14 16 183 6 9 12 15 18 21 24 274 8 12 16 20 24 28 32 36

10203040

6 12 18 24 30 36 42 48 54 607 14 21 28 35 42 49 56 63 708 16 24 32 40 48 56 64 72 809 18 27 36 45 54 63 72 81 90

10 20 30 40 50 60 70 80 90 1

5 10 15 20 25 30 35 40 45 50

00

Simplifying Fractions

The fraction 4/8 can be reduced on the multiplication table as 1/2.

Page 534: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 92 4 6 8 10 12 14 16 183 6 9 12 15 18 21 24 274 8 12 16 20 24 28 32 36

10203040

6 12 18 24 30 36 42 48 54 607 14 21 28 35 42 49 56 63 708 16 24 32 40 48 56 64 72 809 18 27 36 45 54 63 72 81 90

10 20 30 40 50 60 70 80 90 1

5 10 15 20 25 30 35 40 45 50

00

Simplifying Fractions

21212828

In what column would you put 21/28?

Page 535: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 92 4 6 8 10 12 14 16 183 6 9 12 15 18 21 24 274 8 12 16 20 24 28 32 36

10203040

6 12 18 24 30 36 42 48 54 607 14 21 28 35 42 49 56 63 708 16 24 32 40 48 56 64 72 809 18 27 36 45 54 63 72 81 90

10 20 30 40 50 60 70 80 90 1

5 10 15 20 25 30 35 40 45 50

00

Simplifying Fractions

21212828

In what column would you put 21/28?

Page 536: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 92 4 6 8 10 12 14 16 183 6 9 12 15 18 21 24 274 8 12 16 20 24 28 32 36

10203040

6 12 18 24 30 36 42 48 54 607 14 21 28 35 42 49 56 63 708 16 24 32 40 48 56 64 72 809 18 27 36 45 54 63 72 81 90

10 20 30 40 50 60 70 80 90 1

5 10 15 20 25 30 35 40 45 50

00

Simplifying Fractions

21212828

In what column would you put 21/28?

Page 537: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 92 4 6 8 10 12 14 16 183 6 9 12 15 18 21 24 274 8 12 16 20 24 28 32 36

10203040

6 12 18 24 30 36 42 48 54 607 14 21 28 35 42 49 56 63 708 16 24 32 40 48 56 64 72 809 18 27 36 45 54 63 72 81 90

10 20 30 40 50 60 70 80 90 1

5 10 15 20 25 30 35 40 45 50

00

Simplifying Fractions

2121282845457272

Page 538: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 92 4 6 8 10 12 14 16 183 6 9 12 15 18 21 24 274 8 12 16 20 24 28 32 36

10203040

6 12 18 24 30 36 42 48 54 607 14 21 28 35 42 49 56 63 708 16 24 32 40 48 56 64 72 809 18 27 36 45 54 63 72 81 90

10 20 30 40 50 60 70 80 90 1

5 10 15 20 25 30 35 40 45 50

00

Simplifying Fractions

2121282845457272

Page 539: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 92 4 6 8 10 12 14 16 183 6 9 12 15 18 21 24 274 8 12 16 20 24 28 32 36

10203040

6 12 18 24 30 36 42 48 54 607 14 21 28 35 42 49 56 63 708 16 24 32 40 48 56 64 72 809 18 27 36 45 54 63 72 81 90

10 20 30 40 50 60 70 80 90 1

5 10 15 20 25 30 35 40 45 50

00

Simplifying Fractions

2121282845457272

Page 540: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 92 4 6 8 10 12 14 16 183 6 9 12 15 18 21 24 274 8 12 16 20 24 28 32 36

10203040

6 12 18 24 30 36 42 48 54 607 14 21 28 35 42 49 56 63 708 16 24 32 40 48 56 64 72 809 18 27 36 45 54 63 72 81 90

10 20 30 40 50 60 70 80 90 1

5 10 15 20 25 30 35 40 45 50

00

Simplifying Fractions

12 12 1616

Page 541: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 92 4 6 8 10 12 14 16 183 6 9 12 15 18 21 24 274 8 12 16 20 24 28 32 36

10203040

6 12 18 24 30 36 42 48 54 607 14 21 28 35 42 49 56 63 708 16 24 32 40 48 56 64 72 809 18 27 36 45 54 63 72 81 90

10 20 30 40 50 60 70 80 90 1

5 10 15 20 25 30 35 40 45 50

00

Simplifying Fractions

12 12 1616

Page 542: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 92 4 6 8 10 12 14 16 183 6 9 12 15 18 21 24 274 8 12 16 20 24 28 32 36

10203040

6 12 18 24 30 36 42 48 54 607 14 21 28 35 42 49 56 63 708 16 24 32 40 48 56 64 72 809 18 27 36 45 54 63 72 81 90

10 20 30 40 50 60 70 80 90 1

5 10 15 20 25 30 35 40 45 50

00

Simplifying Fractions

12 12 1616

6/8 needs further simplifying.

Page 543: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 92 4 6 8 10 12 14 16 183 6 9 12 15 18 21 24 274 8 12 16 20 24 28 32 36

10203040

6 12 18 24 30 36 42 48 54 607 14 21 28 35 42 49 56 63 708 16 24 32 40 48 56 64 72 809 18 27 36 45 54 63 72 81 90

10 20 30 40 50 60 70 80 90 1

5 10 15 20 25 30 35 40 45 50

00

Simplifying Fractions

12 12 1616

6/8 needs further simplifying.

Page 544: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 92 4 6 8 10 12 14 16 183 6 9 12 15 18 21 24 274 8 12 16 20 24 28 32 36

10203040

6 12 18 24 30 36 42 48 54 607 14 21 28 35 42 49 56 63 708 16 24 32 40 48 56 64 72 809 18 27 36 45 54 63 72 81 90

10 20 30 40 50 60 70 80 90 1

5 10 15 20 25 30 35 40 45 50

00

Simplifying Fractions

12 12 1616

6/8 needs further simplifying.

Page 545: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

1 2 3 4 5 6 7 8 92 4 6 8 10 12 14 16 183 6 9 12 15 18 21 24 274 8 12 16 20 24 28 32 36

10203040

6 12 18 24 30 36 42 48 54 607 14 21 28 35 42 49 56 63 708 16 24 32 40 48 56 64 72 809 18 27 36 45 54 63 72 81 90

10 20 30 40 50 60 70 80 90 1

5 10 15 20 25 30 35 40 45 50

00

Simplifying Fractions

12 12 1616

12/16 could have put here originally.

Page 546: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

In Conclusion

Page 547: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

In Conclusion• We need to use quantity, not counting words, as the basis of arithmetic.

Page 548: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

In Conclusion• We need to use quantity, not counting words, as the basis of arithmetic.

• Subitizing needs to be encouraged.

Page 549: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

In Conclusion• We need to use quantity, not counting words, as the basis of arithmetic.

• Subitizing needs to be encouraged.

• Children need to have visual images based on fives to remember the facts.

Page 550: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

In Conclusion• We need to use quantity, not counting words, as the basis of arithmetic.

• Subitizing needs to be encouraged.

• Children need to have visual images based on fives to remember the facts.

• Visualizing helps our disadvantaged children because it reduces the heavy memory load.

Page 551: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

In Conclusion• We need to use quantity, not counting words, as the basis of arithmetic.

• Subitizing needs to be encouraged.

• Children need to have visual images based on fives to remember the facts.

• Visualizing helps our disadvantaged children because it reduces the heavy memory load.

• We need to use the math way of number naming for a longer period of time.

Page 552: IMF: Visualization October 2011

© Joan A. Cotter, Ph.D., 2011

VII

IMF ConferenceOctober 21, 2011Sarasota, Florida

by Joan A. Cotter, [email protected]

Adding Visualization toMontessori Mathematics

Presentation available: ALabacus.com

7 x 7

100010

1

100

7 3

7 3