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Apprenticeships<br />
Encourage <strong>the</strong> use of more relationship-driven<br />
learn<strong>in</strong>g by provid<strong>in</strong>g apprenticeship relationships<br />
with experts. Multi-age classrooms, big-bro<strong>the</strong>r/<br />
big-sister programs, and community-active adults<br />
are perfect examples of support systems.<br />
Th<strong>in</strong>k Big<br />
Do fewer, but more complex projects, especially<br />
lengthy multi-level projects, with sufficient time<br />
and resources. Students <strong>in</strong> a science class could<br />
plan a five-year trip to Mars. The project would<br />
<strong>in</strong>volve skills <strong>in</strong> math, science, problem solv<strong>in</strong>g,<br />
research, economics, and social skills. Complex<br />
projects present more opportunities for curiosity,<br />
mystery, social <strong>in</strong>teraction, frustration, excitement,<br />
challenge, fulfillment, and celebration than shorter,<br />
simpler ones.<br />
The Importance of Context and<br />
Patterns<br />
In his book Pattern Th<strong>in</strong>k<strong>in</strong>g, Andrew Coward<br />
(1990) says <strong>the</strong> bra<strong>in</strong> forms quick hierarchies to<br />
extract or create patterns. The patterns give context<br />
to <strong>in</strong>formation that o<strong>the</strong>rwise would be dismissed<br />
as mean<strong>in</strong>gless. This desire to form some<br />
k<strong>in</strong>d of mean<strong>in</strong>gful pattern out of learn<strong>in</strong>g seems<br />
<strong>in</strong>nate. Children create games that organize behaviors,<br />
and <strong>the</strong>y will arrange objects <strong>in</strong>to patterns<br />
ra<strong>the</strong>r than leave <strong>the</strong>m random. Adults organize<br />
dishes, cars, tools, sew<strong>in</strong>g articles, bus<strong>in</strong>esses, file<br />
cab<strong>in</strong>ets, and book chapters.<br />
Researchers believe this pattern<strong>in</strong>g may beg<strong>in</strong><br />
on a micro level. Individual neurons do not seem<br />
to exhibit learn<strong>in</strong>g, only groups of neurons. These<br />
95<br />
The <strong>Bra<strong>in</strong></strong> as a Mean<strong>in</strong>g-Maker<br />
networks or “clouds” of neurons seem to be able to<br />
recognize and respond to mean<strong>in</strong>gful learn<strong>in</strong>g. In<br />
fact, scientists are currently test<strong>in</strong>g models of perception<br />
and learn<strong>in</strong>g that may mimic <strong>the</strong> bra<strong>in</strong>’s<br />
visual system (Bruce and Green 1990). These “connectionist”<br />
models mirror neuronal groups and<br />
synapses. Although <strong>the</strong>y caution us <strong>in</strong> call<strong>in</strong>g it a<br />
biological match, early f<strong>in</strong>d<strong>in</strong>gs are encourag<strong>in</strong>g.<br />
O<strong>the</strong>r areas of neurobiology suggest pattern<br />
mak<strong>in</strong>g may be <strong>in</strong>nate. In a classic experiment,<br />
<strong>in</strong>fants were shown a series of draw<strong>in</strong>gs. Each<br />
illustration had exactly <strong>the</strong> same elements as a<br />
human face. But only one had <strong>the</strong>m <strong>in</strong> a coherent,<br />
human face shape and form. The o<strong>the</strong>rs had <strong>the</strong><br />
eyes, nose, hair, and mouth scrambled. To determ<strong>in</strong>e<br />
<strong>the</strong> <strong>in</strong>terest and value to an <strong>in</strong>fant, careful<br />
record<strong>in</strong>gs were made of which figures were preferred<br />
by “gaze time.” The pattern of a human face<br />
<strong>in</strong> its correct form had much more mean<strong>in</strong>g to<br />
<strong>in</strong>fants, even those a few days old (Franz 1961).<br />
Infants as young as 10 months or less are drawn<br />
to, and can recognize, patterns quicker than nonpatterns<br />
(Mehler and Dupoux 1994). On videotape,<br />
<strong>in</strong>fants show puzzled looks when presented<br />
with scattered, “unpatterned” material. These studies<br />
suggest we are wired to pay attention to certa<strong>in</strong><br />
patterns.<br />
In tests of visual perception, researchers have<br />
shown not only that we are “naturals” at learn<strong>in</strong>g<br />
pattern discrim<strong>in</strong>ation but at apply<strong>in</strong>g it to o<strong>the</strong>r<br />
models. One researcher says it’s <strong>the</strong> mak<strong>in</strong>g of<br />
familiar connections (relevance) and locat<strong>in</strong>g conform<strong>in</strong>g<br />
neural networks (pattern mak<strong>in</strong>g) that are<br />
critical to <strong>the</strong> formation of mean<strong>in</strong>g (Freeman<br />
1995). How important is <strong>the</strong> process of pattern<br />
mak<strong>in</strong>g to <strong>the</strong> bra<strong>in</strong>? Child development expert<br />
Jane Healy says, “I am <strong>in</strong>creas<strong>in</strong>gly conv<strong>in</strong>ced that