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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
Lukas Höper; Carsten Schulte – Information and Learning Sciences, 2024
Purpose: In today's digital world, data-driven digital artefacts pose challenges for education, as many students lack an understanding of data and feel powerless when interacting with them. This paper aims to address these challenges and introduces the data awareness framework. It focuses on understanding data-driven technologies and reflecting on…
Descriptors: Information Literacy, Elementary Secondary Education, Data, Grade 6
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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