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Research about technology in mathematics education: an evolution

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Title: Research about technology in mathematics education: an evolution


1
Research about technology in mathematics
education an evolution
  • Jean-baptiste Lagrange
  • Equipe de didactique des mathématiques,
    université Paris 7

2
These themes are not independant. They differ by
a specific entry into our general questionning,
but they are convergent. We adopt different
theoretical orientations (TSD, TA, activity
theory ). Our specificity is to cross these
approaches and to analyse the implications of
theoretical choices.
3
An example
  • Vandebrouk (1999)Lutilisation du tableau noir
    par des enseignants de mathématiques
  • Cazes Vandebrouk (2006)An Emergent Inquiring
    Field the Introduction in the Classroom of
    Online Exercises Set

4
A lecture about research in technologies.For
what purpose ?
  • The role of artefacts in human
  • Knowledge
  • Cognition
  • Social activity
  • An Artefact
  • Is a product of art or industry,
  • Expresses a fundamental property of a living
    being to have a project and to inscribe this
    project in a production. (Monod)

5
Artefacts influence conceptualisation
  • Multiplication is not an operation
  • It does not commute

Artefacts
Task The table and the calculator are two
artefacts that can play specific roles in the
conceptualisation of multiplication. - as an
operation, as a commutative operation.
Please specify these roles.
6
T1 the role of artefacts in conceptualisation
7
(No Transcript)
8
Reification
  •  Many theoretical and empirical arguments may be
    employed to show that in mathematics, operational
    conception precedes the structural. What is
    conceived as a process at one level becomes an
    object at a higher level. 
  • Sfard and Linchevski
  • The gains and the pitfalls of reification

9
Programming
  • Important feature of computer technology
  • Specific languages proposed as means to
    manipulate mathematical entities.
  • A central assumption programming
  • Helps learners to reflect on actions
  • Favours conceptualisation (reification).

10
ISETL and APOS
  • A programming language associated with a specific
    theory
  • An individual's mathematical knowledge is her or
    his tendency to respond to mathematical problem
    situations by
  • reflecting on them
  • constructing or reconstructing mathematical
    actions processes and objects
  • organizing these in schemas to use in dealing
    with the situations"

11
APOS
12
Procepts (Tall)
  • An elementary procept is the amalgam of
  • a process,
  • a related concept produced by that process
  • a symbol which represents both the process and
    the concept.
  • A procept consists of a collection of elementary
    procepts which have the same object.

13
A more flexible approach
  • The process involved must not first be given and
    encapsulated before any understanding of the
    concept can be derived.
  • In introducing the notion of solving a
    differential equation, I have designed software
    to show a small line whose gradient is defined by
    the equation, encouraging the learner
  • to stick the pieces end to end
  • to construct a visual solution through
    sensori-motor activity.

14
  • This builds an embodied notion of the existence
    of a unique solution through every point,
  • It provides a skeletal cognitive schema for the
    solution process before it need be filled out
    with the specific methods of constructing
    solutions.
  • It uses the available power of the brain to
    construct the whole theory at a schema level
    rather than follow through a rigid sequence of
    strictly mathematical action-process-object.
  • http//www.Bibmath.Net/dico/index.Php3?Actionaffi
    chequoi./C/champ.Html

15
Theories about visualization
  • To take advantage of the multiple representations
    of mathematical entities allowed by computer
  • To favor more flexible approaches to
    conceptualization

16
The idea of micro-world
  • A more or less virtual space for learners
  • freely conceptualise by considering questions and
    constructing solutions.
  • Powerful enough as to evolve
  • from the first vision linked to turtle geometry
    (Papert 1980)
  • to recent projects like Mathlab (Noss Hoyles
    2006), based on the idea of building new
    representations.

17
Papert
  • constructionism shares constructivism's
    connotation of learning as "building knowledge
    structures" (and)
  • then adds the idea that this happens especially
    effectively when learners are engaged in
    construction for a public audience".

18
Weblabs
19
Weblabs
20
(No Transcript)
21
Guess my robot
  • Nasko posted his response. He had built a robot
    that produced Rita's five terms, So, he posed a
    two-part challenge back at Rita
  • Could she use his robot to generate a new
    sequence of five terms?
  • Could she use her robot to generate the same
    sequence?
  • Rita was totally surprised Nasko and Ivan had
    solved her challenge, but their robots seemed
    completely different from hers.
  • She worked out what inputs Nasko must have given
    his robot, and showed that her robot could in
    fact generate the same output as his.
  • She has made a new robot that subtracted one
    stream of outputs from the other and had watched
    the robots create a stream of zeros. She had
    generated thousands of zeros in this way and was
    convinced that this was a 'proof' of her
    conjecture that the sequences were the same.

22
Situated cognition
  • Because computer objects and representations
    generally differ from usual mathematics,
  • Math Educators
  • became aware that conceptualisation always
    depends on situations
  • questioned the notion of abstraction (Noss
    Hoyles 1996), introducing the idea of connection.

23
Computer symbolic systems
  • Raised a lot of attention,
  • Assumption Quick and easy actions in problem
    should
  • dramatically reduce the part of meaningless
    technical manipulation
  • favor conceptualization

24
The spreadsheet
  • Specific notation to express relationship between
    entities
  • Dynamic execution
  • Great potential for
  • Introducing younger students to algebra,
  • Preparing them to notions like variables,
    equations and functions.

25
Difficulties when implementing tools in the
classroom.
  • To benefit of the tools potential, a learner
    needs knowledge intertwining
  • mathematical understanding and
  • awareness about the tools functioning.
  • Acquiring this knowledge is a non-obvious and
    time-consuming process, instrumental genesis.

26
An example framing the graphic window.
Consider the function Use the graphic calculator
to obtain an accurate representation, Make
conjectures on its properties, Test and prove
these conjectures
27
Instrumentation
  • Distinction between tool, artefact, instrument
  • Instrumental genesis (Rabardel)
  • Interwoven mathematical and instrumental genesis

A human being
An artifact
Her/his knowledge
Its constraints
Her/his work method
Its potentialities
Instrumentation
Instrumentalization
An instrument
Part of the artifact schemes
28
The anthropological approach
  • Concepts first, then skills ??
  • If mathematics instruction were to concentrate
    on meaning and concepts first, that initial
    learning would be processed deeply and remembered
    well. A stable cognitive structure could be
    formed on which later skill development could
    build. (Heid 1988, p. 4).

29
Techniques and concepts
  • Not so simple relationship
  • Suppressing paper-pencil techniques
  • also suppresses the possibility of reflection on
    these, useful for conceptualisation,
  • brings difficulties related to teachers systems
    of values.

30
Ruthven (2002)
  • In the experimental classes, constitution of a
    quite different system of techniques
  • The shift to reasoning in non algebraic modes of
    representation which characterized concept
    development in the experimental classes (p. 10)
  • created new types of task,
  • encouraged systematic attention to corresponding
    techniques
  • The experimental course
  • exposed students to () wider techniques
  • helped them to develop proficiency in what had
    become standard tasks,
  • even if they were not officially recognized as
    such, and had not been framed so algorithmically,
    taught so directly, or rehearsed so explicitly as
    those deferred to the final skill phase.

31
Techniques
  • a manner of solving a type of task in an
    institution
  • a complex assembly of reasoning and routine.
  • a pragmatic value
  • an epistemic value

32
New challenges to mathematics education
  • Today fast developing web based technologies
  • Internet based communication and social
    interaction.
  • Self learning
  • Learning in different institutions
  • The position of the teacher using technology

33
Observations of Gaps
  • Strong institutional demand/
  • few actual uses
  • Potentialities/
  • actual uses by teachers
  • Teacher expectations/
  • actual carrying-out of the lesson in the
    classroom

34
Hypotheses
  • Discrepancy between
  • potentialities underlined by researchers
  • from a didactical analysis
  • teachers expectations towards supposed effects
    of technology,
  • marked by aspirations regarding students
    activity
  • Episodes marked by improvisation and uncertainty
  • Hidden constraints and obstacles

35
Task 4. Hidden obstacles
  • Context
  • Upper secondary level
  • Non scientific students
  • Reformed curriculum (sequences)
  • Spreadsheet compulsory
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