Variables & Fair Tests
The notion of "fair-test" experiments comes from the United
Kingdom, where this phrase is used as more accessible
alternative for students than them doing the "scientific
method." Developmentally, quite young children (age
6-7) have a workable notion of fairness, which they
can apply to test settings, and involves maintaining
experimental conditions across tests and controlling
variables in a reasonable way so that usable testing
data gets generated.
Designers conduct experiments in their work -- they
observe users engaged with prototypes. They collect
data, too, though not to the extent that a scientist
would. Someone designing the lid and seal of a jar needs
to determine that typical users can open the lid without
a struggle. Still, the seal must be maintained well
enough so that unintended openings are avoided. The
scientist typically would want to conduct large number
of tests in evaluating hypotheses they have proposed.
They might want to determine the forces at work that
determine a good seal -- aiming to understand the science
of lids. On the other hand, the designer would be dealing
with time (and money) constraints, which would limit
them to doing just enough tests for them to come up
with an informed design decision.
These movies show one tech ed and two science teachers
leading discussions about what the key variable are
that can affect a model parachute's performance. In
all three sequences, discussions occurred after students
had "messed about" with the materials and experienced
how a basic model parachute works and falls. Watch for
differences in these teacher led discussions - Can you
glean the different general learning and content goals
of the three teachers? What strengths does each bring
to this topic's conversation? What is your view of how
"Whiteboarding" organizes and prioritizes
students thinking about this topic?
Afterwards, students went back to their work tables
to explore and test individual parachute features and
report on their findings. For years, students hear about
the "scientific method", but in the ensuing days' work,
notice how the excitement of creating a new design idea
takes over. Admonitions to set up good testing conditions,
control one variable at a time, do multiple tests, and
measure outcomes carefully often go by the wayside in
the heat of designing.
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