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Articles

The racializing forces of/in AI educational technologies

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Pages 236-250 | Received 01 Mar 2019, Accepted 10 Sep 2019, Published online: 16 Sep 2019

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Stacey Lynn von Winckelmann. (2023) Predictive algorithms and racial bias: a qualitative descriptive study on the perceptions of algorithm accuracy in higher education. Information and Learning Sciences 124:9/10, pages 349-371.
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Bradley Robinson. (2022) Speculative Propositions for Digital Writing Under the New Autonomous Model of Literacy. Postdigital Science and Education 5:1, pages 117-135.
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Lina Markauskaite, Rebecca Marrone, Oleksandra Poquet, Simon Knight, Roberto Martinez-Maldonado, Sarah Howard, Jo Tondeur, Maarten De Laat, Simon Buckingham Shum, Dragan Gašević & George Siemens. (2022) Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI?. Computers and Education: Artificial Intelligence 3, pages 100056.
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T. Philip Nichols, Robert Jean LeBlanc & David Slomp. (2021) Writing Machines: Formative Assessment in the Age of Big Data. Journal of Adolescent & Adult Literacy 64:6, pages 712-719.
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Ann Hill Duin & Isabel PedersenAnn Hill Duin & Isabel Pedersen. 2021. Writing Futures: Collaborative, Algorithmic, Autonomous. Writing Futures: Collaborative, Algorithmic, Autonomous 109 139 .
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Kevin M. Leander & Sarah K. Burriss. (2020) Critical literacy for a posthuman world: When people read, and become, with machines. British Journal of Educational Technology 51:4, pages 1262-1276.
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T. Philip Nichols & Robert Jean LeBlanc. (2020) Beyond Apps: Digital Literacies in a Platform Society. The Reading Teacher 74:1, pages 103-109.
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