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Commentary on Theories of Mathematics Education

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584 A. Hurford<br />

solely <strong>on</strong> their local envir<strong>on</strong>ment and the individual’s own internal models. In c<strong>on</strong>trast<br />

to individualized theories <strong>of</strong> learning, systems-theoretical points <strong>of</strong> view are<br />

fundamentally c<strong>on</strong>cerned with seeing learners and groups as mutually c<strong>on</strong>stitutive<br />

agents whose behaviors influence and are influenced by the c<strong>on</strong>texts <strong>of</strong> their larger<br />

patterns <strong>of</strong> activity.<br />

Systems-theoretical points <strong>of</strong> view tend to be very dynamic—characterizing activity<br />

in terms <strong>of</strong> evolving patterns rather than studying behavior patterns captured<br />

in static “snapshots.” A clear-cut and visual example <strong>of</strong> this can be seen in C<strong>on</strong>rad<br />

Parker and Craig Reynolds’ model 7 <strong>of</strong> the flocking behavior <strong>of</strong> birds. In this simulati<strong>on</strong><br />

applet avatars (“boids” to its authors) exhibit amazingly life-like flocking<br />

behaviors. An observer is compelled to build an understanding <strong>of</strong> the “boids” that<br />

is fundamentally dynamic. The back-and-forth, up-and-down, landing-and-takingflight<br />

behavior <strong>of</strong> real birds is quintessentially captured by the dynamical nature <strong>of</strong><br />

the modeling <strong>of</strong> this illustrative applet. I believe that the same will be true <strong>of</strong> dynamical<br />

representati<strong>on</strong>s <strong>of</strong> classroom learning—it will be the patterns <strong>of</strong> activity<br />

that are the focus <strong>of</strong> understandings that develop. Rather than static “snapshots” <strong>of</strong><br />

individual students’ learning, such as quiz grades or end-<strong>of</strong>-year tests, assessments<br />

<strong>of</strong> learning will be made <strong>of</strong>ten, in real-time, and with significant regard for the c<strong>on</strong>text<br />

and adaptati<strong>on</strong>s. The dynamic nature <strong>of</strong> systems-theoretic views <strong>of</strong> learning<br />

provides grounding, tools, and a framework for thinking about important patterns <strong>of</strong><br />

evoluti<strong>on</strong>, development, and adaptati<strong>on</strong> <strong>of</strong> learners and learning.<br />

Complex situati<strong>on</strong>s and complex interacti<strong>on</strong>s can also serve to characterize classrooms<br />

and classroom learning. Students’ goals and teachers’ goals are frequently<br />

different and <strong>of</strong>ten at odds. In our schools, participants’ social, ec<strong>on</strong>omic, cultural,<br />

and historical backgrounds are becoming increasingly diverse and potentially at<br />

odds (Fordham and Ogbu 1986; Ogbu1990). Classroom structures may require behavior<br />

that is antithetical to expected behaviors in students’ n<strong>on</strong>-school lives, setting<br />

up dynamic tensi<strong>on</strong>s that radically affect learning. Classroom learning is situated<br />

and directed by the c<strong>on</strong>texts <strong>of</strong> the school, the district, and local, state, and federal<br />

mandates, norms, and expectati<strong>on</strong>s. All <strong>of</strong> these factors and many others combine to<br />

create a dazzlingly complex c<strong>on</strong>text for situating learning, and systems-theoretical<br />

approaches provide unique advantages for dealing with such complex c<strong>on</strong>texts. For<br />

example, a systems perspective could cause an observer to move “up” several organizati<strong>on</strong>al<br />

levels from the classroom to the surrounding community in order to<br />

inform understandings <strong>of</strong> students’ resistance to teachers’ learning goals.<br />

Systems theoretical approaches can “see” complex relati<strong>on</strong>s and accommodate<br />

their effects. The possibility <strong>of</strong> multiple “attractors” (Casti 1994, pp. 28–29), that is,<br />

multiple and relatively stable patterns within a limited regi<strong>on</strong> is taken as a given in<br />

CAS approaches. As an example from the classroom, c<strong>on</strong>sider the c<strong>on</strong>flicting student<br />

goals <strong>of</strong> wanting to perform well <strong>on</strong> a test and not wanting to upstage <strong>on</strong>e’s<br />

peers, or for a school, wanting all students to pass first-year algebra but not being<br />

capable <strong>of</strong> handling large class sizes in sec<strong>on</strong>d-year algebra courses. Systems approaches<br />

attend to the existence <strong>of</strong> multiple driving forces and have mechanisms for<br />

7 http://www.vergenet.net/~c<strong>on</strong>rad/boids, Retrieved December 2, 2008.

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