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dc.contributor.authorWilkerson, Michelle
dc.contributor.authorLanouette, Kathryn
dc.contributor.authorShareff, Rebecca
dc.contributor.authorSt. Clair M St. Clair St. Clair, Natalya
dc.contributor.authorBulalacao, Nicole
dc.contributor.authorErickson, Tim
dc.contributor.authorHeller, Joan I
dc.contributor.authorFinzer, William
dc.contributor.authorReichsman, Frieda
dc.identifier.citationWilkerson, M., Lanouette, K., Shareff, R., St. Clair M St. Clair St. Clair, N., Bulalacao, N., Erickson, T., Heller, J. I., Finzer, W., & Reichsman, F. (2018). Data Moves: Restructuring Data for Inquiry in a Simulation and Data Analysis Environment. In Kay, J. and Luckin, R. (Eds.) Rethinking Learning in the Digital Age: Making the Learning Sciences Count, 13th International Conference of the Learning Sciences (ICLS) 2018, Volume 3. London, UK: International Society of the Learning Sciences.en_US
dc.description.abstractWe explore data transformations, actions investigators take to make datasets more useful for intended inquiries. Fourteen young adults were interviewed while they interacted with online science and engineering games and were provided their own gameplay log data to improve their scores. We investigate the conditions under which data transformations are likely to emerge; provide examples of data moves as enacted by participants; and propose an initial taxonomy of data transformations and potential developmental supports.en_US
dc.publisherInternational Society of the Learning Sciences, Inc. [ISLS].en_US
dc.titleData Moves: Restructuring Data for Inquiry in a Simulation and Data Analysis Environmenten_US
dc.typeBook chapteren_US
Appears in Collections:ICLS 2018

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