Title: The Proactive Role of the Teacher in Mathematics Education
1The Proactive Role of the Teacher in Mathematics
Education
- Koeno Gravemeijer
- Freudenthal Institute for
- Science Mathematics Education
-
- Langeveld Institute
- Utrecht University
- koeno_at_fi.uu.nl
2ConstructivismPeople construct their own
knowledge
3The Proactive Role of the Mathematics Teacher
- Reconcile the constructive activity and the
intellectual autonomy of the students with the
pedagogical agenda of the teacher - ? Proactive role of the teacher
- Select and introduce tasks anticipating student
thinking - Orchestrate classroom discussions
- Establish and cultivate an inquiry classroom
culture
4Intellectual autonomy (Kamii)
- Teacher authority and student autonomy
- Student autonomy
- Responsibility for being able to justify ones
claims in the math lesson - Teacher authority
- What mathematics is
- How is mathematics learned in this classroom
- Goals tasks
5Choosing/designing instructional tasks
- Choosing tasks with an eye on what it might bring
about ?hypothetical learning trajectory-
envision the mental activities of the students -
anticipate how their thinking might help them to
develop mathematical insights (Simon,
1995) hypothetical need to check and revise
6Example
- Discussion of Area with student-teachers
- Area length x width ?
- Blind algorithm??
7Rectangles problem 1. Determine how many
rectangles, of size and shape of the rectangle
that you were given, could fit on the top surface
of your table. Rectangles cannot be overlapped,
cannot be cut, nor can they overlap the edges of
the table. Be prepared to describe to the class
how you solved this problem.
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10 11Rectangles problem 2. Bill said, If the table is
13 rectangles long and 9 rectangles wide, and if
I count 1, 2, 3, ..., 9, and then I multiply, 13
x 9, then I have counted the corner rectangle
twice. Respond to Bills comment.
12Rectangles problem 3. I used the turned
rectangles method, and I got 32 for table A, and
22 for table B. Can we now say something about
which table is bigger?
13The stick problem. Two people work together to
measure the size of a rectangular table one
measures the length and the other the width. They
use a stick to measure with. The sticks, however,
are of different lengths. Louisa says, The
length is four of my sticks. Ruiz says, The
width is three of my sticks. What can you say
about the area of the rectangular table?
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16 Original turned rectangles problem
17Contrast
- The hypothetical learning trajectory is very
different from the classic Socratic way of
developing an idea in interaction with the
students - Who does the thinking?
18 19 20 21 22 23 24Hypothetical learning trajectory versus Socratic
lesson
- Doubling square (2), in the Socratic lesson, the
teacher does the thinking teacher checks whether
the students follows along - Area Simon (1), with the hypothetical learning
trajectory, the students do the thinking the
teacher tries to adapt to what the students are
thinking.
25Teachers need help
- We cannot expect teachers to develop HLTs from
thin air. - We should aim at offering teachers means of
support for construing and revising HLT's - By developing prototypical instructional
sequences and local instruction theories for
various topics (fractions, long division, )
26Instruction theories(different levels)
- Hypothetical learning trajectory
- Local instruction theory (topic)
- Domain-specific instruction theory
- Guided reinvention
- tasks (routes levels)
- symbolizations informal (arithmetic rack, PT
meeting) - conventions
- Emergent modeling
- Didactical phenomenology
27Classroom culture
- Tasks inquiry math students have to engage in a
problem solving activity - Resistance of students to teachers attempts to
implement a problem solving approach (Desforges
Cockburn Hiebert Stigler) - Explanation
- That is what they are used to reproducing the
teachers reasoning and procedures (Didactical
contract) - Communication ? expectations
- An everyday-life example
28Communication ? expectations
- Elicitation pattern
- Could you please tell me the way to West Street?
29Communication ? expectations
- Elicitation pattern
- Could you please tell me the way to West Street?
- You take the second on the right, then the first
on the left, and then you work straight into West
Street.
30Communication ? expectations
- Elicitation pattern
- Could you please tell me the way to West Street?
- You take the second on the right, then the first
on the left, and then you work straight into West
Street. - OK, the second on the right, then the first on
the left, and then straight ahead. Perfect, well
done. - Now, could you also tell me the way to Central
Avenue?
31Didactical contract/social norms
- Cobb Yackel emergent perspective
- social ? psychological
- classroom social norms ?individual beliefs
- Beliefs about expectations and obligations,
shaped by experience - Socio-mathematical norms
- Mathematical practices
32Social norms school-math
- Elicitation pattern
- No responsibility for the students
- Donna (1)
- Mr. K. How many?
- Donna Eight
- Mr. K. How many?
- Donna Eh, seven(?)
33Social normsInquiry math
- Intellectual autonomy of the students (instead of
having the teacher or textbook as the authority) - Act as a learning community
- Learning as a group learning from and with each
other - Obligations to explain justify try to
understand, ask for clarification challenge
34How to change the didactical contract
- Establishing social norms ? experience
- What is valued
- What is rewarded
- Using instances as opportunities to clarify norms
- Example Donna (taken from Erna Yackel)
35- Mr. K. How many?
- Donna Eight
- Mr. K. How many?
- Donna Eh, seven(?)
- Next Mr. K. moves to other students. Later as it
is - Established that 8 was the right answer, Donna
- complains
- Donna I said eight but you said I was wrong!
- Mr. K. What is your name?
- Donna Dona
- Mr. K. What is your name?
- Donna Dona
- Mr. K. And if I would ask you again, What is
your name?, would you say anything else but
Donna?
36Cultivating an inquiry classroom culture
- Asking for explanations
- Please explain your answer. (Why is that so? How
do you know?) - Asking for clarifying questions
- Who has a question for Jim?
- Pass the problem along
- Who can answer Paulas question?
- Asking for a personal judgment
- Ann says that it will cost 16.25, do you agree?
- Promoting that students listen and try to
understand - Did you follow what he said, could you explain it
to me?
37Cultivating an inquiry classroom culture
- Revoicing (for instance to help students to
follow the argument) - Modeling favorable behavior
- Showing genuine interest in the students
thinking - Building on the input of the students
38Mathematics in the City, CUNY Cathy Fosnot
Maarten Dolk
39Turkey video, Cultivating an inquiry classroom
culture
- Try to explain in such a manner that everybody
can understand. - Listen carefully, and see if you understand.
- Who thinks he can explain what Amber and Vicky
tried to do? - Do you have something to add?
- Without telling them how many hours could you
explain to them how they could figure that out? - Great question, did you understand
- Tell them ..
- Did you hear what he said ?
40Central role of the teacher
- Role of the students ? Participation rules of
the game - Genuine interest example Researcher as a
teacher How do they think?
41- Discussion on two data sets, which show the
number of serious injuries in accidents with cars
with airbags and cars without airbags. - The data are already summarized graph shows the
extremes and the medians for both sets of data. - Until now, data sets that had to be compared had
the same extreme high and low values.
42- Ben You cannot compare them this way, the
starting points differ. It would have been
better if they both would have been from 284
thru 1000 - T1. ??
- Jack If you could change the numbers, which you
cannot, then you could move this one. - L2. And what would you know then?
- Jack Nothing, but it would be a better way of
looking. - L1. But you said you cannot change the numbers.
Here the lowest number is 284, and there it is
400. - Ben Yes, but I am not talking about the
original, if they would begin at 284 and end at
1000, than you could look at the median.
43- Mary He does not use the numbers. He says,
forget about the numbers for a moment and just
look at the interval. - T1. I think, I get it.
- T2. If we would know the size of this interval
and of this interval, how would that help us? - Ben Well, than, which be would be the most would
be the worst car. It would be like taking that
one, however, there are two different numbers.
It is no use to take four different numbers and
then compare the medians. - T1. Let me see if I understand. Please check
if I am correct. You say you cannot compare the
medians, because you have to take the intervals
into account. It is not enough to know the
medians. You have to know where the upper half
of the data is, and where the lower half is.
44Socio-mathematical norms
- Classroom norms specific to mathematics
- What counts as a mathematical problem
- What counts as a mathematical solution
- What counts as a different solution
- What counts as a more sophisticated solution
- Criteria ? intellectual autonomy students
45Socio-mathematical norms
- What counts as a (mathematical) problem/solution
- Mathematical problem ? reality (Verschaffel)
-
- Jim has 5 planks of 2 meters.
- gt How many planks of 1 meter can he make?
-
- John has 4 planks of 2½ meters.
- gt How many planks of 1 meter can he make?
- (Width of the cut made by the saw?)
46Socio-mathematical norms Mathematics ? Reality
- Marys friend Ann is staying for diner, now
there are 5 cheeseburgers for 6 people (father,
mother, Mary, her brothers and Ann). - gt How should they share the cheeseburgers?
47Socio-mathematical norms Mathematics ? Reality
- Real-life solutions
- Mary should share with Ann
-
48Socio-mathematical norms Mathematics ? Reality
- Real-life solutions
- Mary should share with Ann
- Go to the shop and buy one extra
49Socio-mathematical norms Mathematics ? Reality
- Real-life solutions
- Mary should share with Ann
- Go to the shop and buy one extra
50Socio-mathematical norms Mathematics ? Reality
- Mathematically productive solutions
- 5 6 5/6
- 5 6 ½ 1/3
51Socio-mathematical norms Mathematics ? Reality
- Socio-mathematical norms about to what extent
reality has to be taken into account have to be
developed in interaction (implicit, experience) - In general all classroom norms are based on
experience - What is valued
- What is rewarded
52Developing mathematical interest
- Need for a shift from solving a problem to
thinking about the solution process from a
mathematical perspective - Is there a better way?
- Does it always work?
- Can I prove that?
- Mathematical progress
53Mathematical practices
- HLT Whos learning trajectory?
- All students???
- Individual learning routes???
- Alternative sequence of mathematical practices
all students are more or less on the same track - First students have to explain and justify,
- Later they dont ask for justification anymore?
mathematical practice
54Toulmins argumentation scheme
data
conclusion
warrant
backing
55Toulmins argumentation scheme
4 stamps of 15 cents
Total price 60 cents
56Toulmins argumentation scheme
4 stamps of 15 cents
Total price 60 cents
4 x 15 60
57Toulmins argumentation scheme
4 stamps of 15 cents
Total price 60 cents
4 x 15 60
2 x 15 30 30 30 60
58Roles of the teacher Variety of roles
- establishing social norms
- presenting instructional tasks
- identifying topics for discussion (mathematical
issues) - orchestrating whole class discussions
- keeping order keeping students involved
- explaining conventions
59Summary pro-active role
60- Anticipate
- Make inferences about student knowledge,
understanding, attitudes, interests - Select tasks, HLT ? Goals
- Enact
- Introduce instructional tasks
- Analyze student activity
- Frame topics for discussion
- Orchestrate that discussion
- Cultivate classroom culture
- Reflect
- Evaluate the learning trajectory
- Assess student thinking
- Look for potentional starting points
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63A Local Instruction Theory as a means of support
for teachers
64Helping students to invent
- If you want students to invent valuable
mathematics, you have to offer them support
65Helping students to invent
- If you want students to invent valuable
mathematics, you have to offer them support - If you want teachers to help students to invent
valuable mathematics, you have to offer them
support
66Helping students to invent
- If you want students to invent valuable
mathematics, you have to offer them support - If you want teachers to help students to invent
valuable mathematics, you have to offer them
support - If you want to help textbook authors to help
teachers to help students to invent valuable
mathematics, you have to offer them support
67What type of support should be offered to
teachers?
- We should aim at offering teachers means of
support for construing and revising HLT's - By developing prototypical instructional
sequences and local instruction theories for
various topics (fractions, long division, )
68Local Instruction Theory
- Set of exemplary instructional activities
- Rationale (theory) that underpins it
- Learning route
- Means of support
- Instructional activities
- Tools
- Classroom culture
69RME Theory
- RME Design heuristics
- Guided reinvention
- Didactical phenomenology
- Emergent modeling
70Design heuristics
- Guided reinvention through progressive
mathematization - A route has to be mapped out that allows the
students to (re)invent the intended mathematics
by themselves. (Or experience it as such.) - history of mathematics
- informal solution procedures
71Design heuristics
- Didactical phenomenology
- Present-day applications starting points
- ? Problem situations that may give rise to
situation-specific solution procedures - Phenomenology of mathematics how the thought
thing (concept, procedure, tool) organizes the
phenomenon.
72Design heuristics
- Emergent modeling
- Emergent modeling modeling as organizing the
model and the conception of what is being
modeled coevolve. - The model
- overarching model
- a series of symbolizations/tools
73Design heuristics
- Emergent modeling
- At first a model is constituted as a
context-specific model of acting in a situation, - The model changes character, it becomes an entity
of its own, - and as such it can function as a model for more
formal mathematical reasoning
74Data Analysis as an example
- Design Experiments Middle School Design
Collaborative NCISLA (OERI) NSF - Paul Cobb
- Kay McClain
- Cliff Konold
- Koeno Gravemeijer
- Erna Yackel (Advisor)
- Seventh graders (12-years old) - 12 weeks - 34
sessions - univariate data - Eighth graders (13 years-old) - 14 weeks - 41
sessions - bivariate data
75Potential endpoint of the learning trajectory
- mean, mode, median, quartiles, ...
- as means/characteristics distribution
-
- distribution as an object-like entity
76Distribution as an object
a) All Dutch, c) Families with parents
lt30 b) All married Dutch d) beds for adults
77Data Aanalysis Minitools
78Classroom episodesBattery life span
79- Casey And I was saying, see like theres
seven green that last longer. - --------------------------------------------------
----------------- - Janice Shes saying that out of ten of the
batteries that lasted the longest, seven of
them are green, and thats the most number, so
the Always Ready batteries are better because
more of those batteries lasted longer.
80- The next student to explain his reasoning, Brad,
directed the teacher to place the value tool at
80.
- Brad See, theres still green ones Always
Ready behind 80, but all of the Tough Cell is
above 80. I would rather have a consistent
battery that I know will get me over 80 hours
than one that you just try to guess. - Teacher Why were you picking 80?
- Brad Because most of the Tough Cell batteries
are all over 80.
81- Barry Like, if youre using them for
something real important and youre only
going to have like one or two batteries, then
I think you need to go with the most constant
thing. But if youre going like, "Oh well, I
just have a lot of batteries here to use,"
then you need to have most of the highest.
82Data Aanalysis Minitools
83Classroom episodesSpeed trap
84- Janice If you look at the graphs and look at
them like hills, then for the before group
the speeds are spread out and more than 55,
and if you look at the after graph, then more
people are bunched up close to the speed
limit which means that the majority of the
people slowed down close to the speed
limit.
85Cascade of inscriptions
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100Three interrelated processes
- Model shift from model-of to model-for
- overarching model visual model of a data set
- The constitution of some new mathematical reality
- network of mathematical/statistical relations
notions of density, shape, spread, skewness
implicit notions of measure and variable - a series of symbolizations/tools
- Value bars
- Dotplot
- Four equal groups
- Box plot
101Local Instruction Theory
- Guided Reinvention
- Didactical Phenomenology
- Solving applied problems, which gives rise to
mathematizing or organizing - 1. Organizing measurement values ? data points on
an axis - 2. Organizing the distribution in of data points
? density - 3. Organizing density ? density function
102Local Instruction Theory
- Emergent Modeling
- Model of a set of measures
- Model for reasoning about a distribution
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103Local Instruction Theory
- Tools and Imagery
- Use of new tools is grounded in imagery of
earlier activities - History in the learning process ltgt meaning
- Problematizing tool use as a basis for
introducing more sophisticated tools experience
the reinvention process
104Local Instruction Theory
- Set of exemplary instructional activities
- Rationale (theory) that underpins it
- Learning route
- Means of support
- Instructional activities
- Tools
- Classroom culture
105Local Instruction Theory
- Local instruction theory as a framework of
reference - The teacher will still need to construe his or
her own hypothetical learning trajectories - Adaptations to
- this teacher
- these students
- this moment in time
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