A framework of different types of knowledge – typical for informatics – is outlined and used to analyse high school students' understanding of data modelling ...
Jul 1, 2022 · This study contributes to the growing interest in K-12 AI education by examining student learning of modelling real-world text data.
Oct 22, 2024 · There is a need for research to examine students' data modelling processes, particularly in the little‐researched realm of unstructured data.
This study developed an initial framework for assessing students' statistical reasoning about descriptive statistics.
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We illustrate how these studies make use of text classifiers, social network analysis, and cluster analysis in order to operationalize the theoretical concepts.
Feb 24, 2021 · The aim of the study was to investigate students' views of model evaluation through the lens of personal epistemology.
This study contributes to an initial understanding of student learning of modelling unstructured data and offers implications for scaffolding in‐depth reasoning ...
Jul 1, 2022 · This study contributes to an initial understanding of student learning of modelling unstructured data and offers implications for scaffolding in-depth ...
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Mar 28, 2018 · The Data Matters Framework outlines a set of critical components that schools must have in place to meaningfully engage in data reflection and learning.
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Apr 30, 2024 · This article presents a qualitative analysis of four curricula, focusing on the data used to introduce learners to the field of data science.
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