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Commentary on Theories of Mathematics Education

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Understanding a Teacher’s Acti<strong>on</strong>s in the Classroom 407<br />

were, more or less in isolati<strong>on</strong> from other clusters and protected from any relati<strong>on</strong>ship with<br />

other sets <strong>of</strong> beliefs. (p. 47/48)<br />

Törner (2002) pursues a comparable approach by understanding the highly individualized<br />

beliefs <strong>of</strong> a pers<strong>on</strong> as a c<strong>on</strong>tent set. According to this, Goldin et al. (2008)<br />

point out the following:<br />

The c<strong>on</strong>tent set can be modeled as akin to the mathematical noti<strong>on</strong> <strong>of</strong> a fuzzy set, which<br />

means that the elements <strong>of</strong> the c<strong>on</strong>tent set possess different weights that are attributed to various<br />

percepti<strong>on</strong>s or assumpti<strong>on</strong>s. This membership functi<strong>on</strong> may be regarded as a measure<br />

<strong>of</strong> the level <strong>of</strong> c<strong>on</strong>sciousness and certitude <strong>of</strong> the belief bearer, or the degree <strong>of</strong> activati<strong>on</strong><br />

<strong>of</strong> the belief. (p. 12)<br />

Given that goals possess an altering priority, as inherent in the abovementi<strong>on</strong>ed<br />

categorizati<strong>on</strong> by Schoenfeld, it is apparent that the set <strong>of</strong> goals can be modeled<br />

accordingly. The aim <strong>of</strong> our analysis goes bey<strong>on</strong>d simply identifying the variables<br />

<strong>of</strong> knowledge, goals, and beliefs the teachers <strong>of</strong> the videoed less<strong>on</strong> possesses, but<br />

includes elaborating <strong>on</strong> the specific interdepencies between goals and beliefs.<br />

Empirical Approach and Methodology<br />

Since we report in the following <strong>on</strong> methodological issues and basic principles,<br />

we actually have to distinguish two different levels: At first, we give an overview<br />

<strong>on</strong> the available data sources, i.e., the c<strong>on</strong>cepti<strong>on</strong> <strong>of</strong> the videoed less<strong>on</strong> and the<br />

subsequently c<strong>on</strong>ducted interview with the teacher. At sec<strong>on</strong>d, we will justify and<br />

explain our approach <strong>of</strong> analyzing the data. We will start to elaborate <strong>on</strong> the former<br />

aspect:<br />

Data Sources<br />

Besides the topic introducti<strong>on</strong> to linear functi<strong>on</strong>s, the resp<strong>on</strong>sible teacher was allowed<br />

to design the less<strong>on</strong> free <strong>of</strong> any directives or restricti<strong>on</strong>s. Obviously, linear<br />

relati<strong>on</strong>ships between objects can serve for initiating motivati<strong>on</strong> for the treatment<br />

<strong>of</strong> linear functi<strong>on</strong>s. In the less<strong>on</strong>, c<strong>on</strong>verting currencies, and measures <strong>of</strong> length and<br />

height were used to introduce the topic, while the individual tasks were embedded in<br />

the story <strong>of</strong> a European couple planning a travel to the US. The less<strong>on</strong> started rather<br />

open and problem-oriented, using examples such as petrol c<strong>on</strong>sumpti<strong>on</strong> <strong>of</strong> vehicles<br />

or temperature changes in dependency <strong>of</strong> the height. Units like miles, gall<strong>on</strong>s<br />

and Dollar were c<strong>on</strong>verted into kilometers, liters and Euro, while feet and degrees<br />

Fahrenheit were c<strong>on</strong>verted into meters and degrees Centigrade. Students worked in<br />

small groups <strong>of</strong> three or four using Excel. However, as the less<strong>on</strong> developed and<br />

time seemed to run out, the teacher suddenly changed her teaching style in favor <strong>of</strong><br />

a more traditi<strong>on</strong>al approach. That is, she switched to a m<strong>on</strong>ologue <strong>on</strong> definiti<strong>on</strong>s in a<br />

formalized structure. These observati<strong>on</strong>s have challenged the questi<strong>on</strong> whether this

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