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Ibrahim Oluwajoba Adisa; Danielle Herro; Oluwadara Abimbade; Golnaz Arastoopour Irgens – Information and Learning Sciences, 2024
Purpose: This study is part of a participatory design research project and aims to develop and study pedagogical frameworks and tools for integrating computational thinking (CT) concepts and data science practices into elementary school classrooms. Design/methodology/approach: This paper describes a pedagogical approach that uses a data science…
Descriptors: Learner Engagement, Elementary School Students, Data Science, Computation
Mengxi Zhou; Selena Steinberg; Christina Stiso; Joshua A. Danish; Kalani Craig – Information and Learning Sciences, 2024
Purpose: This study aims to explore how network visualization provides opportunities for learners to explore data literacy concepts using locally and personally relevant data. Design/methodology/approach: The researchers designed six locally relevant network visualization activities to support students' data reasoning practices toward…
Descriptors: Elementary School Students, Data, Literacy, Visual Aids

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