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The purpose of this paper is to examine the ways assemblaging communities work to support, hinder or disrupt literacy pedagogy in one English Language Arts (ELA) classroom. Through an expanded understanding of community based on the concept of assemblage, this paper discusses the ways in which one teacher’s critical literacies instructional practices emerged, configured and ruptured through the assemblaging communities’ that affected her enactment of critical literacies pedagogy. A focus on assemblaging communities recognizes the de/re/territorializing power of the evolving groups of bodies that produce a classroom and pedagogy in particular ways.

Drawing on observational field notes and informal exchanges, this qualitative study uses post-structural and post-human theory to examine the assemblaging communities that produced the enactment of critical literacies pedagogy in a seventh grade ELA classroom. Assemblage theory is used to analyze data to examine the assemblaging communities that de/re/territorialized in Ms T’s teaching in relation to critical literacies pedagogy. This analytical orientation allowed for a nuanced look at communities as evolving, de/re/territorializing formations that, in this study, created tensions for enacting critical literacies pedagogy.

Assemblaging communities are always producing classrooms in particular ways, demonstrating the complexities and realities of enacting literacy pedagogy. Through analysis of the data, the rupture between the assemblaging communities that produced the enactment of critical literacies pedagogy and the assemblaging communities that produced test prep (and altered critical literacies) became apparent. Ruptures like this must be attended to because enacting critical literacies pedagogy is never done neutrally and without attention to the assemblaging communities that are always de/re/territorializing pedagogy, teachers may not be equipped to respond to the unexpected ruptures as well as material realities produced from these.

Educators can use the concept of assemblaging communities for recognizing the territories that shape their literacy pedagogy. By foregrounding assemblaging communities, researchers and educators may be more appropriately equipped to consider the real-time negotiations at play when enacting critical literacies pedagogy in the classroom. Enacting critical literacies pedagogy is never done neutrally, and attention to the assemblaging communities that are always de/re/territorializing pedagogy, teachers may be more equipped to respond to the material realities that are produced through their pedagogical actions.

This study suggests assemblaging communities as a way to productively move forward a perspective on communities that foregrounds the moving bodies that produce communities differently in evolving ways and their de/re/territorializing forces that create material realities for classrooMs Assemblaging communities moves the purpose from defining a community or interpreting what it means to looking at what it does, how it functions and for this study, how assemblaging communities produced critical literacies pedagogy in one classroom.

We make use of the Volunteered Geographic Information (VGI) data to extract the total extent of the roads using remote sensing images. VGI data is often provided only as vector data represented by lines and not as full extent. Also, high geolocation accuracy is not guaranteed and it is common to observe misalignment with the target road segments by several pixels on the images. In this work, we use the prior information provided by the VGI and extract the full road extent even if there is significant mis-registration between the VGI and the image. The method consists of image segmentation and traversal of multiple agents along available VGI information. First, we perform image segmentation, and then we traverse through the fragmented road segments using autonomous agents to obtain a complete road map in a semi-automatic way once the seed-points are defined. The road center-line in the VGI guides the process and allows us to discover and extract the full extent of the road network based on the image data. The results demonstrate the validity and good performance of the proposed method for road extraction that reflects the actual road width despite the presence of disturbances such as shadows, cars and trees which shows the efficiency of the fusion of the VGI and satellite images.