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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
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Danielle Herro; Jeremiah Akhigbe; Ibrahim Adisa; Virginia Clark; Armani Morris – Information and Learning Sciences, 2025
Purpose: This study aims to examine the absorptive capacity of an elementary school participating in a multi-year research-practice partnership (RPP) focused on increasing data science instruction through curriculum development. This research considers how data science initiatives might be sustained with fewer supports from the research team as…
Descriptors: Elementary Schools, Elementary School Teachers, Teacher Attitudes, Partnerships in Education
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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
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Shreiner, Tamara L. – Information and Learning Sciences, 2020
Purpose: Data literacy -- the ability to read, analyze, interpret, evaluate and argue with data and data visualizations -- is an essential competency in social studies. This study aims to examine the degree to which US state standards require teachers to teach data literacy in social studies, addressing the questions: to what extent are US social…
Descriptors: Data, Information Literacy, State Standards, Data Analysis
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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