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22 paź 2024 · Forum for gold, open-access research on Statistics and Data Science Education, includes curricular reform, team learning, pedagogy efficacy and data literacy.
29 paź 2021 · This includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art, frameworks and techniques research projects in the area of Data Science applied to Education, using different approaches such as Information Fusion, Soft Computing, Machine Learning, and Internet of Things, among others.
18 paź 2021 · Not only are old research questions being analyzed in new ways but also new questions are emerging based on novel data and discoveries from EDS techniques. This overview defines the emerging field of education data science and discusses 12 articles that illustrate an AERA-angle on EDS.
Educational data science would train educators - broadly conceived - to study these forms of educational data and to make sense of educational systems, their problems and potential solutions, and to develop a deeper understanding and empirically established forms of solutions.
1 sty 2023 · Aim/Purpose: This study aimed to evaluate the extant research on data science education (DSE) to identify the existing gaps, opportunities, and challenges, and make recommendations for...
10 lip 2022 · A key pattern in findings from emerging data science education research is that whether and how learners relate to and see the relevance of data matters a great deal (Wilkerson & Polman, 2020)—a finding echoed in earlier statistics and science education research that engaged learners in sustained investigation of a single, relatable context ...
27 paź 2023 · In parallel to the emergence of data science, a new field is emerging as well—data science education. This article mapped the growing body of research on data science education and found five major themes: (a) curriculum, (b) pedagogy, (c) STEM skills, (d) domain adaptation, and (e) social aspects.
