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Creators/Authors contains: "St_Clair, Natalya"

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  1. ; ; (, International Society of the Learning Sciences)
    Lindgren, R; Asino, T I; Kyza, E A; Looi, C K; Keifert, D T; Suárez, E (Ed.)
    Understanding and reasoning with multidimensional data is a critical skill for students in various disciplines. This study explores how data experts navigate and analyze unfamiliar multidimensional datasets. Through our interviews with nine data experts, we identified three main approaches: (1) manipulating flat tables, (2) creating relational databases, and (3) using computational commands. These findings challenge our initial assumption that making hierarchy would be a common expert data move. Rather than revealing a “typical” strategy, these interviews yielded a range of approaches, with most experts describing more than one approach and how they would decide between them. These insights will inform the design of pedagogical techniques and tools to support students’ reasoning with multidimensional data. 
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