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Creators/Authors contains: "Gutiérrez, Kris"

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  1. ; ; ; ; ; ; ; ; (, International Society for the Learning Sciences)
    This inquiry is guided by a curiosity around the stories that teachers tell about their students, content, and pedagogical approaches focused on data and computational literacies. We present a form of storytelling with theory as we apply theories of syncretism and translanguaging to empirical vignettes about teachers’ sensemaking. We also present a form of storytelling of theory, drawing on teachers’ stories to help us better understand how these theories are related to each other. We bring two teachers’ stories into conversation: one from the Writing Data Stories (WDS) project and the other from the Participating in Literacies and Computer Science (PiLa-CS) project. Both projects utilized translanguaging and syncretism in their conceptions and designs, working with teachers to design for expansive forms of data-based and computational literacies. 
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    Full Text Available 
  2. ; ; ; ; ; ; ; ; (, International Society of the Learning Sciences)
    Blikstein, Paulo; Van Aalst, Jan; Kizito, Rita; Brennan, Karen (Ed.)
    This inquiry is guided by a curiosity around the stories that teachers tell about their students, content, and pedagogical approaches focused on data and computational literacies. We present a form of storytelling with theory as we apply theories of syncretism and translanguaging to empirical vignettes about teachers’ sensemaking. We also present a form of storytelling of theory, drawing on teachers’ stories to help us better understand how these theories are related to each other. We bring two teachers’ stories into conversation: one from the Writing Data Stories (WDS) project and the other from the Participating in Literacies and Computer Science (PiLa-CS) project. Both projects utilized translanguaging and syncretism in their conceptions and designs, working with teachers to design for expansive forms of data-based and computational literacies. 
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    Accepted Manuscript Full Text Available
  3. ; ; ; ; ; ; ; ; ; (, Occasional Paper Series)
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  4. ; ; ; ; ; ; ; ; (, International Conference for the Learning Sciences)
    We report on a curriculum development project in which students explore environmental racism through data. Recognizing that quantitative data alone is insufficient to understand the sociohistorical contexts of racism, we draw from syncretic approaches to learning that put everyday experiences and qualitative evidence into direct conversation with quantitative datasets through storytelling. Through two focal cases, we demonstrate how one student leveraged personal experience to engage in deep integrative analysis of data, while another with fewer perceived personal connections to environmental racism focused more specifically on patterns, with less structural or racial analysis. Implications of the analysis include the need to carefully attend to the use of quantitative data related to race and to scaffold the integration of other sources of information with quantitative data sets. 
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    Accepted Manuscript Full Text Available