bridging knowing and proving in mathematics
DESCRIPTION
Slides in support of a talk at the conference "Explanation and Proof in Mathematics: Philosophical and Educational Perspective" held in Essen in November 2006. Abstract: The learning of mathematics starts early but remains far from any theoretical considerations: pupils' mathematical knowledge is first rooted in pragmatic evidence or conforms to procedures taught. However, learners develop a knowledge which they can apply in significant problem situations, and which is amenable to falsification and argumentation. They can validate what they claim to be true but using means generally not conforming to mathematical standards. Here, I analyze how this situation underlies the epistemological and didactical complexities of teaching mathematical proof. I show that the evolution of the learners' understanding of what counts as proof in mathematics implies an evolution of their knowing of mathematical concepts. The key didactical point is not to persuade learners to accept a new formalism but to have them understand how mathematical proof and statements are tightly related within a common framework; that is, a mathematical theory. I address this aim by modeling the learners' way of knowing in terms of a dynamic, homeostatic system. I discuss the roles of different semiotic systems, of the types of actions the learners perform and of the controls they implement in constructing or validating knowledge. Particularly with modern technological aids, this model provides a basis designing didactical situations to help learners bridge the gap between pragmatics and theory.TRANSCRIPT
B
A
C
P
P1
P2
P3I
A problem (1)
Construct a triangle ABC. Construct a point P and its symmetrical point P1 about A. Construct the symmetrical point P2 of P about B, construct the symmetrical point P3 of P about C.Construct the point I, the midpoint of [PP3].What can be said about the point I when P is moved?
From Capponi (1995) Cabri-classe, sheet 4-10.
B
A
C
P
P1
P2
P3I
“... when, for example, we put P to the left, then P3 compensate to the right. If it goes up, then the other goes down...”
“... why I is invariant? Why I does not move?”
A problem (1)
“The others, they do not move. You see what I mean? Then how could you define the point I, finally, without using the points P, P1, P2, P3?” [prot.143.]
B
A
C
P
P1
P2
P3I
Students rather easily proved that ABCI is a parallelogram
The tutor efforts...
... can be summarized, by the desperate question: ‘don’t you see what I see?’
Seeing is knowing
B
A
C
P
P1
P2
P3I
invariance of I
phenomenon
facts
Internaluniverse
Interface
Externaluniverse immobility of I
geometry
knowledge
“… why I is invariant?Why I does not move?”
B
A
C
P
P1
P2
P3I
invariance of I
phenomenon
facts
Internaluniverse
Interface
Externaluniverse immobility of I
geometry
knowledge
“… why I is invariant?Why I does not move?”
Modeling
• Learners and teachers could…… have different “understanding”
… have different “reading”
… be actors of different “stories”
• How can we inform these differences in understanding, or reading, or stories
First hint: investigate representations?
Question: what/where is the problem?
The Mendelbrot set for z z+c
The picture shows the non connectivity of M
A crucial example, The case of fractals
A proof first...
then…the picture of the filaments
A crucial example, The case of fractals
A proof first...
then…the picture of the filaments
A crucial example, The case of fractals
Back to students
Sin(exp x)
x4-5x2+x+4
how to balance trust and doubt?
Back to students
Sin(exp x)
x4-5x2+x+4
how to balance trust and doubt?
résoudre: Ln(ex-1) = x
Back to students: to balance trust and doubt
résoudre: Ln(ex-1) = x ex-1=ex
Back to students: to balance trust and doubt
« ƒ is defined byf(x) = lnx + 10sinx
Is the limit + and in +? »The environment plays a role in the number of errors we observe: - with a graphic calculator 25% of errors- without the graphic calculator 5% of errors
D. Guin et L. Trouche
And more, if needed• π=3.14• a convergent series reach its limit• the Fibonacci series
U0=1, U1=(1+√5)/2, Un=Un-1+Un-2
is divergent
Back to students: the pragmatic origin of meaning
The need to bridgeknowing and proving
Nicolas.Balacheff @ imag.fr
• our knowledge (connaissance) is the result of our interaction with our environment
• learning is the outcome of a process of adaptation (ie ecological)
the learner environment could be physical, social, symbolic…but
only certain features of the environment are relevant from the learning point of view: the “milieu”
An agreed ecological perspective
Individual ways of knowing could be ...
• Contradictory depending on the nature of context (in and out of school, on the work place and at home, at the grocery and at the laboratory, …)• Even though potentially attached to the same specific concept
Contradiction, a familiar characteristic of human beings
Let’s look at knowing as holding a set of conceptions .
Conceptions are accessible to falsification
A conception is validation dependentThe claim for validity which is at the core of
knowing requires(i) the possibility to express a statement(ii) the possibility to engage in a validation process(iii) the hypothesis of transcendence
Conceptions, validity and proof
Problems as the fundamental criteria for the characterization of a conception
a state of the dynamic equilibrium of a loop of interaction, action/feedback, between a subject and a milieu under viability constraints.
“Problems are the source and the criterium of knowing” (Vergnaud 1981)
action
S Mfeedback
constraints
A first characterization of a conception
P... a set of problems
R... a set of operators
L... a system of representation
.... a control structure
- describe the domain of validity of a conception (its sphere of practice) - the educational characterisation of P is an open question
- the system of representation could be linguistic or not - it allows the expression of the elements from P and R
- ensure the logical coherency of the conception, it contains at least under the form of an oracle the tools needed to take decisions, make choices, express judgement on the use of an operator or on the state of a problem (solved or not)
- the operators allow the transformation of problems- operators are elicited by behaviors and productions
A characterization of a conception
Construct a circle with AB as a diameter. Split AB in two equal parts, AC and CB. Then construct the two circles of diameter AC et CB… an so on.How does vary the total perimeter at each stage ?How vary the area ?
A problem (2)
9. Vincent : the perimeter is 2πr and the area is πr2
10. Ludovic : OK 11. Vincent : r is divided by 2 ?12. Ludovic : yes, the first
perimeter is 2πr and the second is 2πr over 2 plus 2πr over 2 hence …. It will be the same
[…]17. Vincent : the other is 2πr
over 4 but 4 times18. Ludovic : so it is always 2πr19. Vincent : it is always the
same perimeter….
20. Ludovic : yes, but for the area…
21. Vincent : let’s see …22. Ludovic : hum…. It will be
devided by 2 each time23. Vincent : yes, π(r/2)2 plus
π(r/2)2 is equal to…[…]31. Vincent : the area is always
divided by 2…so, at the limit? The limit is a line, the segment from which we started …
32. Ludovic : but the area is divided by two each time
33. Vincent : yes, and then it is 034. Ludovic : yes this is true if we
go on…
A problem (2)
37. Vincent : yes, but then the perimeter … ?
38. Ludovic: no, the perimeter is always the same
[…]41. Vincent : it falls in the segment…
the circle are so small42. Ludovic: hum… but it is always 2πr43. Vincent : yes, but when the area
tends to 0 it will be almost equal…44. Ludovic: no, I don’t think so45. Vincent : if the area tends to 0,
then the perimeter also… I don’t know
46. Ludovic: I finish to write the proof
A problem (2)
Algebraic frame
area /perimeter
formulaLudovicalgebraic conception
Vincentsymbolic-arithmetic
conception
Valid
atio
n
Valid
atio
n
Representation and control
Algebraic frame
area /perimeter
Ludovicalgebraic conception
Vincentsymbolic-arithmetic
conception
Valid
atio
n
Valid
atio
n
Representation and control
Algebraic frame
area /perimeter
Ludovicalgebraic conception
Vincentsymbolic-arithmetic
conception
Valid
atio
n
Valid
atio
n
Representation
Representation and control
Let z be the sum of the two given even numbers, z is even means z=2p. We can write p=n+m, thus z=2n+2m. But 2n and 2m are a manner to write the two numbers. So z is even.
An even number can only finish with 0, 2, 4, 6 and 8, so it is for the sum of two of them
OOOOOOO OOOOOOOOOOOO OOOOO
OOOOOOOOOOOOOOOOOOOOOOOO
+
=
Let x and y be two even numbers, and z=x+y. Then it exists two numbers n and m so that x=2n and y=2m. So : z=2n+2m=2(n+m) because of the associative law, hence z is an even number.
2, 2= 4 4, 4= 8 6, 8= 42, 4= 6 4, 6= 0 2, 6= 8 4, 8= 22, 8= 0
(1)
(2)
(3)
(4)
(5)
Problem (3)If two numbers are even, so is their sum
What is a mathematical proof?
From a learning point of view, there is a need to give a status to something which may be different from what is a proof for mathematicians, but still has a meaning within a mathematical activity.
ExplanationProof
Mathematical proof
The search for certaintyThe search for understandingThe need for communication
A specific economy of practice
The rôle of mathematical proofin the practice of mathematicians
Internal needs
Social communication
mathematicalrationalism
non mathematicalrationalismVersus
Rigour Efficiency
On the opposition theory/practice
The opposition theory/practice is a reality of the learning of elementary mathematics...
In the case of geometry, it takes the form of the opposition between practical geometry (geometry of drawings and figures) and theoretical geometry(deductive or axiomatic geometry)
An other opposition is that of symbolic arithmetic and algebra, which I propose as a possible explanation of the complexity of the use of spreadsheets
Which genesis for mathematical proof from a learning perspective
the origin of knowing is in actionbut the achievement of
Mathematical proof is in languageknowing in action
knowing in discourse
construction
formulationaction validation
representation
means for action control
formulationaction validation
representation
means for action
Proofand
controlunity
formulation
demonstration
language of afamiliar world
language asa tool
naïveformalism
validation
Pragmaticproofs
Intellectualproofs
mathematicalproof
action
practice(know how)
explicitknowing
knowingas a theory
validation
Pragmaticproofs
Intellectualproofs
mathematicalproof
certaintyunderstandingcommunication
A long way to mathematical proof
naïve empiricism
crucial experiment
validation
Pragmaticproofs
Intellectualproofs
mathematicalproof
certaintyunderstandingcommunication
A long way to mathematical proof
generic example
thought experiment
statement calculus
naïve empiricism
crucial experiment
validation
Pragmaticproofs
Intellectualproofs
mathematicalproof
certaintyunderstandingcommunication
A long way to mathematical proof
Possible support from computer-based microworlds and simulation
An educational problématique of proof cannot be separated from that of constructing mathematical knowing
Specific situations are necessary to allow an evolution toward a mathematical rationality
Look for the potential contribution of the theory of didactical situations
Mathematics call for a milieu which feedback could account for its specific character
The need to clarify the epistemological and cognitive rational of didactical choices
Setting the didactical scene
Possible support from computer-based microworlds and simulation
An educational problématique of proof cannot be separated from that of constructing mathematical knowing
Specific situations are necessary to allow an evolution toward a mathematical rationality
Look for the potential contribution of the theory of didactical situations
Mathematics call for a milieu which feedback could account for its specific character
The need to clarify the epistemological and cognitive rational of didactical choices
Setting the didactical scene
Possible support from computer-based microworlds and simulation
An educational problématique of proof cannot be separated from that of constructing mathematical knowing
Specific situations are necessary to allow an evolution toward a mathematical rationality
Look for the potential contribution of the theory of didactical situations
Mathematics call for a milieu which feedback could account for its specific character
The need to clarify the epistemological and cognitive rational of didactical choices
Setting the didactical scene
Possible support from computer-based microworlds and simulation
An educational problématique of proof cannot be separated from that of constructing mathematical knowing
Specific situations are necessary to allow an evolution toward a mathematical rationality
Look for the potential contribution of the theory of didactical situations
Mathematics call for a milieu which feedback could account for its specific character
The need to clarify the epistemological and cognitive rational of didactical choices
Setting the didactical scene
Thank you !