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A research platform for task design

Routine problems in,
modelling tasks out.

Hazel turns a textbook problem into a mathematical modelling task. You bring a problem you already teach; it argues from twenty-seven worked exemplars and cites them by number.

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Same mathematics.
The decisions moved.

Four routine problems, and the modelling task each one becomes. The arithmetic does not change. What changes is who decides what counts as an answer.

Routine

A tap fills a tank at 3 litres per second

The tank holds 12 m³. How long does it take to fill? Every quantity needed is given and nothing superfluous is.

Modelling task

Should the school fit a bigger rainwater tank?

The butt ran dry in the third week of a dry spell. How big would it need to be? The capacity is now the unknown, and the dry spell to design for is a decision rather than a fact.

Routine

Angle of elevation 32° from 15 m: find the height

To three significant figures. What is assessed is whether the solver picks tangent rather than sine. The tree is a costume.

Modelling task

How tall is the tallest tree on the grounds, and how sure are you?

Report a range you are willing to defend. A canopy has no unique highest point, the ground is not level, and asking for a range makes disagreement visible.

Routine

120 km in 1 h 30 min: find the average speed

80 km/h, and equally compatible with a coach that sat still for twenty minutes and one that held exactly 80 the whole way.

Modelling task

What time should the coach leave for the away match?

Kick-off at 14:00, and a driver who remembers the trip taking “about an hour and a half, but once nearly two”. Recommend a departure time and say how likely it is to work.

Routine

40 m of fencing: find the largest rectangular pen

A 10 m square, 100 m². The pen is rectangular because the question says so, there is no wall to use, and there is no gate.

Modelling task

Design the allotment fence with the panels we have

Nine panels of 1.8 m, one side already a solid wall, and a gate wide enough for a wheelbarrow. The optimum stops being a square and the perimeter is quantised.

It does not stop at the task.

Designing the thing is the first half. The second half is finding out whether it works on someone who has never seen it.

She draws

Ask what a relationship looks like and you get the curve, not a paragraph about the curve. Hazel plots functions, sketches the situation, and marks an assumption where it would otherwise slip past.

She writes the version you hand out

A committed task comes with a class-facing version: the situation in student language, a picture, and the questions to ask a group that has stopped. You edit it before anyone sees it, because it is your class.

You find out where it bites

Publish a task and a solver works it through the seven transitions of the cycle. Where they stall comes back to you, stage by stage. The difficulty in modelling lives at the transitions, so that is where it is measured.