Susan Yoon - Academia.edu (original) (raw)
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Papers by Susan Yoon
What are pathways toward critical and just data literacies? Achieving critical and just data lite... more What are pathways toward critical and just data literacies? Achieving critical and just data literacies is especially challenging in an ideologically polarizing "post-truth" world in which we confront a rising tide of misinformation and fake news, alongside discourse that denigrates politically conservative perspectives. Although reasoning with data is rooted in epistemic processes, the stances people take are-and should be-influenced by values, concerns about maintaining cultural group membership, and concerns about equity and justice. Through a range of approaches, contexts, and age groups, the papers seek to illuminate how to help learners become adept at employing data interpretation conventions, scrutinizing the reliability of data representations, and examining whether data representations render humans and more-than-humans visible or invisible, central, peripheral, unidimensional, or complex. Jointly, the papers examine how to cultivate publics who make use of consequential data representations to negotiate their everyday lives, and who identify and resist datafied injustice.
What are pathways toward critical and just data literacies? Achieving critical and just data lite... more What are pathways toward critical and just data literacies? Achieving critical and just data literacies is especially challenging in an ideologically polarizing "post-truth" world in which we confront a rising tide of misinformation and fake news, alongside discourse that denigrates politically conservative perspectives. Although reasoning with data is rooted in epistemic processes, the stances people take are-and should be-influenced by values, concerns about maintaining cultural group membership, and concerns about equity and justice. Through a range of approaches, contexts, and age groups, the papers seek to illuminate how to help learners become adept at employing data interpretation conventions, scrutinizing the reliability of data representations, and examining whether data representations render humans and more-than-humans visible or invisible, central, peripheral, unidimensional, or complex. Jointly, the papers examine how to cultivate publics who make use of consequential data representations to negotiate their everyday lives, and who identify and resist datafied injustice.