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On the role of the Parsimony Principle in AMT Boris Koichu Technion – Israel Institute of Technology October 16, 2007

On the role of the Parsimony Principle in AMT Boris Koichu Technion – Israel Institute of Technology October 16, 2007

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On the role of the Parsimony Principle

in AMT

Boris KoichuTechnion – Israel Institute of Technology

October 16, 2007

The Principle of Parsimony (Ockham’s Razor)

• Classic formulation:

“One should not make more assumptions than the minimum needed” =

= “One should only add new assumptions when forced to do so by the evidence”

• Status: logical principle, heuristics

• Classic implications: modeling, software programming, keeping science on track by not allowing it to accept “wild speculations”

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The Principle of Parsimony (modification)

• Modification:

“One does not make more efforts than the minimum needed in achieving a goal” =

= “One only makes more efforts when forced to do so by the evidence than the goal is not achieved with less efforts”

• Status: assumption, heuristics

• Implications: explanation of some phenomena in MT (AMT)

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Outline of the talk

• Two examples and one non-example

• Suggestions about the role of the Principle of Parsimony (PP) in developing AMT

• An open question about PP

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Example 1: Should a mathematical definition be minimal?Zaslavsky, O, & Shir, K. (2005). Students’ conceptions of a mathematical

definition, JRME, 36(4), 317-346.

• Minimal Definition: A square is a quadrilateral in which all sides are equal and one angle is 90o

• Not Minimal Definition: A square is a quadrilateral in which all sides are equal and all angles are 90o

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A square is a quadrilateral in which all sides are equal and all angles are 90o

Erez: It’s correct, but it is not a definition.

Yoav: It’s correct, and it is a definition.

Erez: It has too many details.

Yoav: Too many details, but it is still a definition.

Omer: What do “too many details” has to do with that?

Erez: Well…In fact…maybe it is.

“We can see that Erez began rethinking the issue of minimality. As a result, later he was willing to consider a nonminimal statement as a definition”

Zaslavsky & Shir (2005, p. 329)6

There is a hot debate about the issue

of minimality in the literature. Why ?An (indirect) answer from the paper:

Why minimal?

Because of mathematical-logical considerations

Why not minimal?

Because of communicative considerations (example-based reasoning, clarity)

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Explanation in terms of PP

Why should a definition be minimal?

Because of the classical PP:

One should not make more assumptions than the minimum needed

Why may a definition be not minimal?

Because of the reformulated PP:

One does not make more efforts than the minimum needed in achieving a (communicative) goal

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Why did Erez rethink his position about minimality?

• Perhaps, because he encountered cognitive dissonance between two instantiations of the PP and tried to balance them.

Cognitive dissonance means the ability of a person to simultaneously hold at least two opinions or beliefs that are logically or psychologically inconsistent

(Festinger, 1957).

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Example 2:Koichu & Berman (2005).

When do gifted high school students use geometry to solve geometry problems? The Journal of Secondary Gifted Education, 16(4), 168-179.

EEC: = Efficiency vs. Elegancy ConflictInt.: How do you approach difficult geometry problems?

Saul: Generally speaking, I try to understand what the fuzziest point in the problem is and then I apply my intuition to this point… If I don’t have any idea what to do, I just use different not nice methods.

Int.: What do you mean?

Saul: I use the special methods that I have learned, like complex numbers in geometry, or trigo…where there is no choice.

Int.: Why do you think that these methods are not nice?

Saul: They could be nice, but…[sighs, pause 5 seconds].

Int.: Which methods are "nice"?

Saul: “Nice” is when I have a geometry problem and I solve it by means of classic geometry.

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Saul

Angle problem: Let ABC be an acute angle triangle, AH is the longest altitude of the triangle and BM is a median, AH=BM. Prove that

First step – Drawing (about 60 sec.)

Silence (about 10 sec.)

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60B

Second step – "It would be better to compute everything by formulas.“ (about 5 min.)

Alex: I’ve finished. It is not a difficult problem.Int.: Anyway, you wrote a lot, but there is a very short geometrical solution…Alex: Maybe, but in order to find a geometrical solution you usually spend much more time. Personally, I like geometrical solutions, but I look for them only if I cannot solve a problem by trigo.

Explanation in terms of PPWhy do gifted students like geometrical solutions more

than algebraic?

Because of the classic PP:

One should use no more mathematical tools than the minimum needed.

Why do gifted students solve geometry problems algebraically anyway?

Because of the reformulated PP:

One should not make more (intellectual) effort than the minimum needed.

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Why do some gifted students experience EEC?

Perhaps, because they encounter cognitive dissonance between two instantiations of the PP and try balancing them.

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Non-example:What is the greatest number?

(anecdotic evidence collected in a car)

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Dalia: 20B: 21Dalia: 25B: 26Dalia: 20…10B: You mean 30?Dalia: Yea, 30B: 31Dalia: 37B: 38Dalia: 30…10… 40B: 41Dalia: But dad, don’t tell numbers in order!

B: Why not?Dalia: Because there are greater numbers…B: OK… 45Dalia: 59B: 63Dalia: 1000B: Wow! 1005Dalia: 1009B: 1010Dalia: Let’s play “the smallest number”B: OK.Dalia: 0. You know, when you count, you count 0, 1, 2, 3, 4…

B: You’re right, but there are even smaller numbers. -1Dalia: OK. -0B: You know, 0 is a special number, -0=0Dalia: OK. Let’s play again “the greatest number”. From the beginning. 1030.B: 1033. How do you think, who can win the game?Dalia: I don’t know. Let’s play another game.

What is the point?

Different instantiations of PP (logical-mathematical, communicative, competitive and more) act simultaneously.

Balancing between different instantiations of PP seems to be a force driving learning.

It can be argued that PP has origins in brain (evolutionary psychology), not only in mind.

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An attempt of theorizing: PP and APOS theory

• Action

• Process

• Object

• Scheme

Dubinsky, E. McDonald, M. (2001). APOS: A constructivist theory of learning in undergraduate mathematics education research, in D. Holton (Ed.), The teaching and learning of mathematics at university level: An ICMI study, pp. 275-282, Kluwer.

An attempt of theorizing: PP and APOS theory

• Action: A transformation of objects perceived by the individual as external.

• Process:

• Object:

• Scheme:

Dubinsky, E. McDonald, M. (2001).

An attempt of theorizing: PP and APOS theory

• Action: A transformation of objects perceived by the individual as external.

• Process: When an action is repeated and the individual reflects upon it, he or she can make an internal mental construction called a process which the individual can think of as performing the same kind of action.

• Object:

• Scheme:

Dubinsky, E. McDonald, M. (2001).

An attempt of theorizing: PP and APOS theory

• Action: A transformation of objects perceived by the individual as external.

• Process: When an action is repeated and the individual reflects upon it, he or she can make an internal mental construction called a process which the individual can think of as performing the same kind of action.

• Object: is constructed from a process when the individual becomes aware of the process as a totality and realizes that transformations can act on it.

• Scheme:

Dubinsky, E. McDonald, M. (2001).

An attempt of theorizing: PP and APOS theory

• Action: A transformation of objects perceived by the individual as external.

• Process: When an action is repeated and the individual reflects upon it, he or she can make an internal mental construction called a process which the individual can think of as performing the same kind of action.

• Object: is constructed from a process when the individual becomes aware of the process as a totality and realizes that transformations can act on it.

• Scheme: an individual’s collection of actions, processes, objects, and other schemas which are linked by some general principles to form a framework in the individual’s mind that may be brought to bear upon a problem situation.

Dubinsky, E. McDonald, M. (2001).

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An attempt of theorizing: PP and APOS theory

Action

Process

Scheme

Object

Procept

Balancing different fo

rms of PP

A concluding question:

Does incorporation of PP in the model(s) of developing AMT fit PP?

In other words, is considering PP forced by the evidence and thus justified?

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Functions of theory in math education

Models and theories in mathematics education can:

· support prediction,

· have explanatory power,

· be applicable to a broad range of phenomena,

· help organize one’s thinking about complex, interrelated phenomena,

· serve as a tool for analyzing data, and

· provide a language for communication of ideas about learning that go beyond superficial descriptions.

Schoenfeld (1999); Dubinsky and McDonald (2001)

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A concluding question:

Is assuming PP as a force that drives learning beneficial with respect to the

above criteria?

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Let’s think about it…

Thank you!

[email protected]

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