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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
Mann, Emily Zoe; Jacobs, Stephanie A.; Kinsley, Kirsten M.; Spears, Laura I. – Information and Learning Sciences, 2023
Purpose: Building on past studies of library privacy policies, this review looks at how privacy information is shared at universities and colleges in the state of Florida. Beyond the question of whether a library-specific privacy policy exists, this review evaluates what is covered in the policies -- whether topics such as how student data is…
Descriptors: Academic Libraries, Policy Analysis, Privacy, Student Records
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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