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Titlebook: Big Data in Education: Pedagogy and Research; Theodosia Prodromou Book 2021 Springer Nature Switzerland AG 2021 learning analytics (LA).ed

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發(fā)表于 2025-3-23 10:15:03 | 只看該作者
Big Data in Academic Research: Challenges, Pitfalls, and Opportunitiesobviating old ethical concerns. Nonetheless, Big Data offer many opportunities, allowing researchers to study previously inaccessible problems, with previously inconceivable sources of data. Although Big Data overcome some of the challenges of small data studies, Big Data studies will not supplant s
12#
發(fā)表于 2025-3-23 16:44:02 | 只看該作者
Big Data for Early Learners relatively straight forward yet appealing interactive activities, and support resources, to develop rudimentary but essential concepts and processes for each of the 4–7?years and 8–18?years age groups. A combination of activities and freely available software to support data exploration such as iNZ
13#
發(fā)表于 2025-3-23 18:36:22 | 只看該作者
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發(fā)表于 2025-3-24 00:14:59 | 只看該作者
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發(fā)表于 2025-3-24 02:23:02 | 只看該作者
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發(fā)表于 2025-3-24 06:31:17 | 只看該作者
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發(fā)表于 2025-3-24 10:43:45 | 只看該作者
18#
發(fā)表于 2025-3-24 17:40:35 | 只看該作者
Museum Big Data: Perceptions and Practicesen Big Data in museums and Big Data in libraries, arts, and humanities. We also offer several case studies from museums operating Big Data projects, which illustrate problems, prerequisites and potentials.
19#
發(fā)表于 2025-3-24 20:51:01 | 只看該作者
Analysing Aspects of Brazilian Curricula for Teaching Statistics Involving Big Data 27 Brazilian states. Forty-five documents were selected and analysed in order to identify potentialities in the teaching of statistics for the secondary level of schooling. The content analysis indicated that only some curricular documents address the issue of big data, and even those documents did
20#
發(fā)表于 2025-3-25 01:35:26 | 只看該作者
2543-0289 d for representing, integrating and exploring complex information..This book offers guidance to researchers who are seeking suitable topics to explore.?It presents research into the skills needed by data practi978-3-030-76843-0978-3-030-76841-6Series ISSN 2543-0289 Series E-ISSN 2543-0297
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