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2013 Conference Proceedings - University of Nevada, Las Vegas

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curriculum locally, within individual classrooms. Distributed cognition allows students’ externalexperiences to aid their learning within the classroom, if the teacher is willing to let the studentexpress re-presentations(Glasersfeld, 1991) <strong>of</strong> those experiences. Metaphors are naturalexpressions <strong>of</strong> shared experience. Often within education, the purpose <strong>of</strong> metaphors are to shareone person’s experiences through common experiences (or experiences believed to be common)(Ortony, 1993).A conceptual metaphor is a mapping, an identification <strong>of</strong> the experience to be expressed (thetarget domain) and the experience to be shared (the source domain) (Lak<strong>of</strong>f & Johnson, 1980).For example, a student said during my interviews, “to solve it for me, it meant that I had to findit somehow.” Thus the student used the conceptual metaphor: PROBLEM SOLVING ISSEARCHING. Thus the student was sharing how their understanding <strong>of</strong> problem solving (targetdomain) is perceived as searching (source domain) (Kövecses & Benczes, 2010). The studentcommunicates this because they believe the researcher has shared the experience <strong>of</strong> searchingand so relates this perception to the researcher. Due to the specifics <strong>of</strong> each domain, it isimportant to note that this is a unilateral relation: TARGET DOMAIN SOURCE DOMAIN.The method <strong>of</strong> identifying conceptual metaphors and interpreting their purpose and meaningwas first accomplished by Lak<strong>of</strong>f and Johnson (1980). Lak<strong>of</strong>f and Nunez (2000) expanded onthis idea to create Conceptual Metaphor Theory (CMT) and Danesi (2007) applied it to middleschool mathematics teachers. Kovecses and Benczes (2010) <strong>of</strong>fered the first technique <strong>of</strong>looking for coherency concretely using CMT analysis in linguistics by identifying a conceptualmetaphorical system. However, these methods were always narrative, interpretive, andqualitative methodologies. Moreover, there was a lacking <strong>of</strong> quantitative analysis from a postpositivistperspective allowing probability <strong>of</strong> metaphors to solidify the validity <strong>of</strong> a givenmetaphorical system. This is where my study takes shape and has generated a uniquemethodology that is replicable, but more importantly, a practical means to aid teachers inlistening to their students meaning.ParticipantsParticipants for this study included students from multiple honors geometry classes and allhonors geometry teachers in a suburban high school. Honors geometry was chosen due to thestudy being volunteer-based and due to the proclivity for pro<strong>of</strong> to have students express theirproblem solving ability (Lakatos, 1976). The students and teachers both met with the research<strong>Proceedings</strong> <strong>of</strong> the 40 th Annual Meeting <strong>of</strong> the Research Council on Mathematics Learning <strong>2013</strong> 172

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