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The seventh stage of the
modelling process:
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Name: Table group name: Modelling process stage: Date: Completed at the start of groupwork before discussion What do you have to do? How will you do it? List all your ideas. Circle the idea you like best, and add any extra reasons you have to support it. Completed during group discussion after the sharing session Other ideas that you liked Improvements to your ideas Outside experts ideas Completed during whole class discussion Other ideas you liked
Improvements to your ideas or your groups ideas Outside experts ideas |
The modelling process
Now the modelling process can begin, where the classroom dynamic at each stage consists of the groups initially discussing and recording their thinking and then reporting back to the class, comparing their thinking with the others, and then making the necessary adjustments. The teachers role at all stages but one is to facilitate this classroom dynamic. Only in stage three does the teacher intervene. How this intervention is carried out has been discussed elsewhere (White 1994, 1995a). However, this raises an interesting point of debate as some teachers prefer to have previously taught the desired mathematical model, whereas others prefer to leave this to the decision of the group. The first choice allows the students to apply a newly acquired tool to an appropriate problem situation. In the second choice the groups may consult textbooks or other resources and discuss how to find and apply the relevant mathematics, or they may ask for the teachers assistance. The teacher then may teach to a subset of the groups who requested assistance. Not very efficient says the first group, but very powerful and effective replies the second.
Leaving this issue, one of the obvious benefits of the continual reflection and reporting at each modelling stage lies in the ease of constructing a final report in stage seven of the modelling process. Another advantage for teachers is the ready access to the progress of the students via their modelling folders.
Stage 1: Real-world problem
Focusing question: What is the problem asking us to find?
The complexity of many real-life problems found in textbooks often scares both the teacher and student. There are ways of reducing this complexity and also avoiding the danger of making the problem too trivial, or too far removed from real life. Most textbook problems need to be rewritten so that the problem statement is very general and free of as much data as possible, because later stages of the modelling process will consider and gather what is needed. The example we will discuss has been adapted from the excellent AAMT 1994 Mathematics Week publication by Henry & McAuliffe (1994) and is titled Staying Wet.
Problem: A family living in Adelaide needs a regular supply of water to supplement its mains supply. You are asked to investigate and prepare a report on how much water can be drawn from a house rainwater tank without it running dry?
There is no actual data in this question. Divide the class into groups and allow them to discuss the problem. In answering the focus question, students should be able to answer the question: The answer will be in what units?
Stage 2: Consider the variables and make assumptions
Focusing question: What are all the things that are important to this problem and what extra information do we need?
I regard this as the most valuable part of the process and it should not be rushed. It consists of listing all the variables involved and then trying to simplify or modify this list. In this process it becomes obvious that there is a need to obtain certain information which will constitute the initial conditions of the problem. Obtaining the information can be left to the class as library research. However, the teacher may use this stage as a way of controlling the direction of the investigation, as the choice of data can greatly influence the choice of model (ask any politician). The teacher leads the class discussion wherein each variable is considered and is either regarded as being important to the model and more information is needed, or is discarded because it is already included in another variable or has been controlled. This evaluation process is really a way of reducing the complexity of the problem. Average rates can also help to overcome a host of seasonal variables but can cause your model to be less sensitive. The following list could be applied to all the variables:
(a) More information needed, that is, what are the dimensions of the roof?
(b) Included in another variable, that is, lifestyle issues such as smoking will influence pulse rate in trying to assess fitness.
(c) Controlled for this model, that is, the slope of the roof is a variable that can be controlled by limiting our model to a flat roof.
Example
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- empty - full |
In this case it was decided to begin with an empty tank. |
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- temperature - wind |
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- gutter leaks |
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- dimensions - surface area - run-off overflow - slope |
Decided that the roof was flat with large box gutters so that there was no overflow (will consider the effects of a sloped roof in other models). |
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- variation per month - reliability |
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How much is needed and when is it needed? |
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Initial information
The family occupies a house with a roof area of 195 m2.
The following figures give the mean monthly rainfall for the City of Adelaide.
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Rainfall |
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There is also a choice of tanks:
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Also we have 1m3 = 1 000 000 cm3
= 1 000 litres,
and ¼ = 3.14.
Stage 3: Formulate mathematical problem
Focusing questions: How do we find the answer to our problem? What calculations do we need to make?
The choice of mathematical model will depend on the approach used by the teacher and the demands of the syllabus. If the class decides on a model which does not match the wishes of the teacher, then the teacher has a choice either to intervene (a structured approach) or to delay until the completion of one cycle (an open approach) (see White 1995b). This is not a major consideration for this present problem.
Stage 3: Model for the roof is a rectangular prism, and the tank is a cylinder. Calculations needed are:
(a) the water gathered each month in litres;
(b) the volume of each tank in litres;
(c) the volume for each tank that can be withdrawn each month.
Also it was decided to use a spreadsheet to assist this process.
Model: Solve mathematical problem
Focusing question: What are the answers to our problem?
This stage describes what is found in most classrooms, with the students applying some procedure to given data.
A spreadsheet (Table 2) is set up to investigate these calculations. Columns are used to indicate the month, the rainfall (mm) and water collected (litres).
Calculations needed: The water gathered each month.
For one month, Jan - Volume = surface area x depth
= 195 x 0.02
= 3.9 m3
= 3900 litres
(S.S. eqn: = 195*B5 Remember that the equation must begin with an equals sign. Type the equation into cell C5, then highlight cells C5 to C16 and choose the fill-down command.
Calculations needed: The volume of each tank in litres.
Vol. of tank 1 = 3.14*1000*B22^2*C22 litres
Enter in cell D22, highlight cells D22 to D24 and fill down.
Calculations needed: The volume for each tank that can be withdrawn each month. This can be done visually or using spreadsheet equations.
Sample solutions are also shown in Table 2.
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1 |
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2 |
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(litres) |
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3 |
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(mm) |
Water |
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Water |
avail. |
using |
tanks |
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4 |
Month |
Rainfall |
collected |
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5 |
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3900 |
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3900 |
3900 |
3900 |
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6 |
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4095 |
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4095 |
4095 |
4095 |
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7 |
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4680 |
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4680 |
4095 |
4095 |
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8 |
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8580 |
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4710 |
7850 |
8580 |
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9 |
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13260 |
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4710 |
7850 |
13260 |
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10 |
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14040 |
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4710 |
7850 |
14040 |
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11 |
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12870 |
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4710 |
7850 |
12870 |
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12 |
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11895 |
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4710 |
7850 |
11895 |
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13 |
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9945 |
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4710 |
7850 |
9945 |
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14 |
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8580 |
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4710 |
7850 |
8580 |
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15 |
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6045 |
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4710 |
6045 |
6045 |
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16 |
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5070 |
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4710 |
5070 |
5070 |
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17 |
TOTAL |
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18 |
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19 |
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20 |
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(m) |
(m) |
(litres) |
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21 |
Tank |
Radius |
Height |
Volume |
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22 |
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1 |
1.5 |
4710 |
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23 |
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1 |
2.5 |
7850 |
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24 |
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1.5 |
3.5 |
24727.5 |
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If you examine the modelling cycle in Figure 1 you will notice that the modelling process may mean a return to the initial assumptions in order to modify the problem being considered. You may wish to alter some of the assumptions, such as the water being withdrawn at the end of each month. It is also here that a lot of other investigations spring to mind. For example:
(a) How long does it take each tank to fill?
(b) What is the maximum constant amount that can be withdrawn if you start with a full tank?
(c) How much water is lost through overflow?
(d) Would having tank 1 and 2 be better than tank 3?
If you decide to make alterations, then you need to return to Stage 2.
Stage 5: Interpret the solution
Focusing question: What do our answers mean?
After obtaining their solutions, the students are then directed back to the problem. They must check to ensure that they have answered the problem within the assumptions they have made. Interpretations made should make explicit these assumptions and initial conditions. This is an important step in helping students realize that solutions to problems are very constrained by the context and not easily transferable to other situations.
Stage 6: Verify the model
Focusing questions: What is wrong with the way we obtained our answer? Can you suggest any improve-ments?
This is also an important stage where the strengths and weaknesses of their model are discussed. We are reflecting upon the mathematics that has been used. The statement that All models are wrong, but some are useful is an important reminder of the dangers of oversimplification and of ignoring any underlying assumptions.
Models should be evaluated in terms of the variables used and, more importantly, those omitted. For example, our assumption of a flat roof and nil water loss is an unusual constraint. However, either we may leave it for others to make comparisons with our model, or we may increase the variables we wish to consider and then repeat the process in order to improve our initial model. The class can consider different models to the flat roof and may consider different rainfall or tank values. This is extremely easy to do because it merely involves minor adjustments to the spreadsheet. The students are able to experience the power of their mathematics in making predictions and improving their model. This is also where the students are able to discuss their mathematical understandings and thus it provides the teacher with an opportunity to introduce more sophisticated mathematics.
Stage 7: Produce report, explain, predict, etc.
Focusing question: How did we think about and solve this problem?
This is a valuable part of the process, as students need experience in using language to express mathematical ideas. It is here that we reflect on the quality of the students thinking. It should include documentation of the students progress through the stages of the cycle, as well as their final predictions and answers. The structure of the modelling process provides a good organizing device for their report.
Conclusion
The purpose of this paper was to emphasize the importance of planning and working. I also tried to highlight the role of the teacher in providing opportunities for reflective thinking within the modelling cycle. This is achieved by providing a classroom dynamic whereby at each stage the students have the opportunity individually to reflect upon and record their thinking; then to discuss, compare and modify their thinking while in groups; and finally to report back to the class. This classroom dynamic, together with the structure of the modelling cycle and diary sheets provides the opportunity for:
Students can only learn mathematical modelling by participating in the experience of constructing models and in the struggle to perfect these models. While this requires the teacher to allow the students to attempt, to fail, to discuss, and to test their thinking, it also requires the teacher to ensure that the students have time to reflect upon their thinking, which is the essential metacognitive ingredient. The role of the teacher is to provide the opportunity and the structure for this reflection and learning to take place, and to guide the students through the modelling process by allowing them freedom within each stage for both active individual reflection and collective reflection.
References
Dengate, B., & Lerman, S. (1995). Learning theory in mathematics education: Using a wide-angle lens and not just the microscope. Mathematics Education Research Journal, 7 (1) 2636.
Flavell, J. H. (1987). Speculations About the Nature and Development of Metacognition. In F. E. Weinert and R. H. Kluwe (Eds). Metacognition, Motivation, and Understanding (pp. 2129). Lawrence Erlbaum Associates, Hillsdale, N J.
Henry, M. & McAuliffe, R. (1994). Staying wet. Mathstralia (pp. 4952). AAMT, Melbourne.
Margetson, D. (1991). Why is Problem-based Learning a Challenge? In D. Boud & G. Feletti (Eds), The Challenge of Problem-based Learning (pp. 4250). St. Martins Press, New York.
White, A. L. (1994). Managing the Modelling Process in the Secondary Classroom. In D. Rasmussen & K. Beesey, Mathematics Without Limits (pp. 442446). M.A.V., Brunswick, Melbourne.
White, A. L. (1995a). How to manage the mathematical modelling process incorporating the computer within the secondary classroom. Reflections, 20 (1) 312.
White, A. L. (1995b). The Mathematical Modelling Option. In Ann Richards, Flair: Forging Links and Integrating Resources (pp.405413). AAMT, Darwin.
Stage 6 Mathematics Syllabus Review
Maths Teachers’ Day at University of Wollongong
UWS Question-and-Answer Program for teachers in Western Sydney
2008 Premier's Teacher Scholarships
Postgraduate Mathematics Education Units
Clarification about abbreviations and Geometrical Reasons
Enrichment Maths for Secondary School Students
Stage 1 : Kindergarten, Year 1 and Year 2 Mathematics
Stage 2 : Year 3 and Year 4 Mathematics
Stage 3 : Year 5 and Year 6 Mathematics
Stage 4 : Year 7 and Year 8 Mathematics
Stage 5: Year 9 and 10 Mathematics (Intermediate)
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