Information and communication technologies in schools: a ...
Information and communication technologies in schools: a ...
Information and communication technologies in schools: a ...
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106<br />
ICT IN SCHOOLS<br />
A HANDBOOK FOR TEACHERS<br />
It was quite natural to establish a system of check<strong>in</strong>g <strong>and</strong> test<strong>in</strong>g both <strong>in</strong>terim<br />
results <strong>and</strong> the quality of the end-products of this almost <strong>in</strong>dustrial-like manufactur<strong>in</strong>g<br />
process.<br />
At the turn of the 20th century, the French psychologists B<strong>in</strong>et <strong>and</strong> Simon<br />
were commissioned to research the possibility for measur<strong>in</strong>g <strong>in</strong>telligence. From<br />
the start, the goal was to measure the sub-skills necessary for classroom success.<br />
B<strong>in</strong>et actually sat <strong>in</strong> a classroom, tak<strong>in</strong>g notes of students’ answers to teachers’<br />
questions, <strong>and</strong> tried to construct rules for predict<strong>in</strong>g who would fulfill the<br />
dem<strong>and</strong>s of the teacher best.<br />
Sampl<strong>in</strong>g school children’s abilities to utter correct answers <strong>in</strong> many <strong>schools</strong><br />
across France, B<strong>in</strong>et created the first <strong>in</strong>telligence test, later developed <strong>and</strong> corroborated<br />
by other researchers. With these tests, it became possible to estimate<br />
an <strong>in</strong>dividual’s <strong>in</strong>telligence by process<strong>in</strong>g the data of one’s performance on a deliberately<br />
heterogeneous set of items, rang<strong>in</strong>g from sensory discrim<strong>in</strong>ation of<br />
colours to vocabulary knowledge, <strong>and</strong> to calculate a so-called Intelligence<br />
Quotient or IQ.<br />
What a magnificent epitome of the era of mass-produced education: now<br />
you could quantify how bright <strong>and</strong> stupid everyone is!<br />
In pre-<strong>in</strong>dustrial epochs, people perceived each other as much more complex<br />
entities. Someone could be clever enough with words while <strong>in</strong>competent <strong>in</strong><br />
numbers; shrewd <strong>in</strong> bus<strong>in</strong>ess but poor <strong>in</strong> writ<strong>in</strong>g; <strong>in</strong>capable <strong>in</strong> abstract reason<strong>in</strong>g<br />
but masterful <strong>in</strong> crafts or apt <strong>in</strong> sports. It was only after the development of <strong>in</strong>telligence<br />
tests <strong>and</strong> what the statistician Spearman did with them that the construct<br />
of <strong>in</strong>telligence nested so firmly <strong>in</strong> the consciousness of educators <strong>and</strong> heads of<br />
Human Resource departments.<br />
Spearman found that all IQ tests that appeared after B<strong>in</strong>et <strong>and</strong> Simon’s correlated<br />
highly with each other. He reasoned that they must have been measur<strong>in</strong>g<br />
the same th<strong>in</strong>g. Further, this cross-correlation could be expla<strong>in</strong>ed by a construct<br />
he called g, for general <strong>in</strong>telligence. Some em<strong>in</strong>ent critics disagreed, ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g<br />
that human be<strong>in</strong>gs had multiple abilities, or factors of <strong>in</strong>telligence, but they were<br />
forced to admit that even these multiple factors had a high cross-correlation.<br />
Hence IQ tests became highly useful <strong>in</strong> the h<strong>and</strong>s of busy school adm<strong>in</strong>istrators<br />
eager to predict student scores <strong>and</strong> channel students accord<strong>in</strong>g to their abilities.<br />
After all, that was how the adm<strong>in</strong>istrators’ own abilities would be measured <strong>and</strong><br />
rewarded (or punished).