Abstract:In this article I detail the conceptual trajectory of a classroom of 2nd-and 3rd-grade students as they reinvent topographical lines to represent height in a map within the constraints of an overhead perspective. In my analysis I pay special attention to the role of social interaction-and in particular the role of the teacher-in the process of knowledge production. First, I demonstrate how the invention of representational forms by individuals occur as part of a larger social process of creating cultural conve… Show more
“…"), as well as how representations work more generally (e.g., "The representation was better in this case as it was coherent, compact and parsimonious") (3,14,15). Teachers can guide students to acquire the visual literacies of science at the point when they will see their relevance and appreciate their explanatory power (16).…”
Section: Drawing To Learn To Represent In Sciencementioning
“…"), as well as how representations work more generally (e.g., "The representation was better in this case as it was coherent, compact and parsimonious") (3,14,15). Teachers can guide students to acquire the visual literacies of science at the point when they will see their relevance and appreciate their explanatory power (16).…”
Section: Drawing To Learn To Represent In Sciencementioning
“…Microanalysis is becoming increasingly important in computer-supported collaborative learning because a focus on accomplishment through mediated action is necessary to truly understand the role of technology affordances (Stahl, Koschmann, & Suthers, 2006). For examples applied to the analysis of learning, see Baker (2003), Enyedy (2005) Koschmann and LeBaron (2003), Koschmann et al (2005), Roschelle (1996), and Stahl (2006Stahl ( , 2009.…”
Abstract:The relationship between interaction and learning is a central concern of the learning sciences, and analysis of interaction has emerged as a major theme within the current literature on computersupported collaborative learning. The nature of technology-mediated interaction poses analytic challenges. Interaction may be distributed across actors, space, and time, and vary from synchronous, quasi-synchronous, and asynchronous, even within one data set. Often multiple media are involved and the data comes in a variety of formats. As a consequence, there are multiple analytic artifacts to inspect and the interaction may not be apparent upon inspection, being distributed across these artifacts. To address these problems as they were encountered in several studies in our own laboratory, we developed a framework for conceptualizing and representing distributed interaction. The framework assumes an analytic concern with uncovering or characterizing the organization of interaction in sequential records of events. The framework includes a media independent characterization of the most fundamental unit of interaction, which we call uptake. Uptake is present when a participant takes aspects of prior events as having relevance for ongoing activity. Uptake can be refined into interactional relationships of argumentation, information sharing, transactivity, and so forth. for specific analytic objectives. Faced with the myriad of ways in which uptake can manifest in practice, we represent data using graphs of relationships between events that capture the potential ways in which one act can be contingent upon another. These contingency graphs serve as abstract transcripts that document in one representation interaction that is distributed across multiple media. This paper summarizes the requirements that motivate the framework, and discusses the theoretical foundations on which it is based. It then presents the framework and its application in detail, with examples from our work to illustrate how we have used it to support both ideographic and nomothetic research, using qualitative and quantitative methods. The paper concludes with a discussion of the framework's potential role in supporting dialogue between various analytic concerns and methods represented in CSCL.
“…As such, it might be characterized as using real world contexts that are related to issues that adversely affect the students or their community to promote motivation and engagement. However, current theories of learning suggest that studentsʼ understanding of a tool or concept is dependent upon their understanding of its utility (e.g., why was it developed in the first place and what problems does it help to solve) (diSessa, 2004;Enyedy, 2005). When students donʼt understand the purpose for such concepts, they are less likely to use them effectively.…”
One approach to promoting successful engagement of underrepresented groups in mathematics classrooms is Culturally Relevant Pedagogy (CRP). However, it has been argued that CRP risks essentializing students or watering down academic content. We report our analysis of a case study of a group of three 6 th grade students who took part in a 6-week mathematics curriculum. This curriculum used Geographical Information System (GIS) maps to engage students in designing personally meaningful research projects while learning about measures of central tendency (i.e., learning statistics). The case study was chosen as representative of how students in this urban classroom (47 total) successfully navigated the curriculum. While successful, the intervention highlights the kinds of negotiations that students engaged in with each other, the teacher, and the curriculum as they co-constructed their own meaning of relevance. The goal of our analysis is to illustrate the importance of recognizing multiple forms of relevance and supporting ongoing negotiations of these multiple forms.
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