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Commentary on Theories of Mathematics Education

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574 A. Hurford<br />

leaders, blueprints, recipes, templates, and self-organizati<strong>on</strong>. The first four <strong>of</strong> these<br />

ways organizati<strong>on</strong> imposed from outside the system. The fifth, self-organizati<strong>on</strong>,<br />

comes from inside the system: “Pattern formati<strong>on</strong> occurs through interacti<strong>on</strong>s internal<br />

to the system, without interventi<strong>on</strong> by external directing influences” (p. 7). Bey<strong>on</strong>d<br />

successfully resp<strong>on</strong>ding to Casti’s call for formalizati<strong>on</strong> <strong>of</strong> systems-theoretical<br />

approaches and language, Camazine et al.’s systems perspective highlights c<strong>on</strong>siderati<strong>on</strong>s<br />

<strong>of</strong> c<strong>on</strong>trol <strong>of</strong> activity and locates that c<strong>on</strong>trol internally or externally to the<br />

group and its c<strong>on</strong>stituents.<br />

Str<strong>on</strong>g leaders, blueprints, recipes, and templates are all mechanisms for c<strong>on</strong>trolling<br />

activity that are viewed as being external to the system, organizing activity by<br />

remote c<strong>on</strong>trol so to speak. Referring back to Casti (1994), note that systems analyses<br />

are “inherently subjective” (p. 269): what <strong>on</strong>e ends up seeing in part depends<br />

up<strong>on</strong> which levels <strong>of</strong> organizati<strong>on</strong> <strong>on</strong>e chooses to observe. In high school classrooms<br />

<strong>on</strong>e may view students’ activity as always being driven externally, since, for example,<br />

school attendance (<strong>on</strong> the level <strong>of</strong> a “l<strong>on</strong>g” time frame) is mandatory for most<br />

students and six or seven periodic locati<strong>on</strong> changes per day (<strong>on</strong> the level <strong>of</strong> “short”<br />

time frames) powerfully regulate students’ experiences. Mandatory attendance or relocati<strong>on</strong>s<br />

notwithstanding, even when students are physically present, they usually<br />

direct their own attenti<strong>on</strong>, deciding (more or less c<strong>on</strong>sciously) if, when, and how<br />

they will engage in learning opportunities and other activities. This ambiguity—are<br />

students being externally c<strong>on</strong>trolled or are they directing their own activity—does<br />

not invalidate using systems perspectives as ways to study classroom learning. What<br />

it does do is dem<strong>on</strong>strate the need for researchers to be careful about how they delimit,<br />

define, and communicate about the systems they are studying.<br />

For example, although it seems that much <strong>of</strong> what goes <strong>on</strong> at the level <strong>of</strong> classrooms<br />

in a school is actually driven by external c<strong>on</strong>trollers such as legislative mandates,<br />

“core curricula”, and bus schedules, it also seems like many <strong>of</strong> the more<br />

interesting aspects <strong>of</strong> learning will <strong>on</strong>ly come into focus when we (subjectively)<br />

choose to background exterior driving mechanisms and observe classrooms at a different<br />

level <strong>of</strong> detail. At the level <strong>of</strong> small groups learning additi<strong>on</strong> facts, whole<br />

groups learning about the Civil War, or individuals learning to read, we can begin to<br />

look for comp<strong>on</strong>ents <strong>of</strong> complex systems as defined in other fields <strong>of</strong> research. As<br />

students and groups <strong>of</strong> students self-organize, selectively negotiating and deciding<br />

which chunks <strong>of</strong> the curriculum to attend to and composing what they have attended<br />

to into models, it seems that powerful insights into learning (e.g., what is motivating<br />

students, what c<strong>on</strong>cepts are salient to the students, or how they use the models they<br />

have created) may become observable.<br />

Camazine et al. (2001) describe self-organizati<strong>on</strong> as being a functi<strong>on</strong> <strong>of</strong> the aggregated<br />

activities <strong>of</strong> self-directed agents inside the system. The primary mechanism<br />

for the self-organizati<strong>on</strong> <strong>of</strong> agents is feedback, which is another <strong>of</strong> the important<br />

“basic terms” that needs formalizati<strong>on</strong> in systems-theoretical perspectives. Positive<br />

and negative feedback are “the two basic modes <strong>of</strong> interacti<strong>on</strong> am<strong>on</strong>g the comp<strong>on</strong>ents<br />

<strong>of</strong> self-organizing systems” (p. 15). Positive feedback “generally promotes<br />

changes in a system” taking “an initial change in a system and [reinforcing] that<br />

change in the same directi<strong>on</strong> as the initial deviati<strong>on</strong>” (p. 17). Negative feedback

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