- Title
- Big Data for Early Learners
- Creator
- Howley, Peter; Wang, Kevin; Bilgin, Ayse Aysin
- Relation
- Big Data in Education: Pedagogy and Research p. 41-64
- Relation
- Policy Implications of Research in Education
- Publisher Link
- http://dx.doi.org/10.1007/978-3-030-76841-6_2
- Publisher
- Springer International Publishing
- Resource Type
- book chapter
- Date
- 2021
- Description
- There has been an explosion in the availability of digital data and an ever-increasing need for analysts in the big data arena; the gap between demand and supply is widening. Big data, data science and the field of statistics are pervasive; every discipline across industry, business, government and education is increasingly generating copious data and combining data from multiple sources. Future generations will need to be familiar with data and aspects of investigation and communication so they may participate as socially responsible citizens in the data-rich society. Concurrently, research reveals that an individual’s aspirations and occupational futures may be shaped at a much earlier age than previously considered. This chapter provides introductory approaches for engaging early learners in the big data arena. It articulates by example the broad application of the field, and provides 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 iNZight is drawn upon to incite interest and appeal.
- Subject
- early childhood; primary education; secondary education; aspirations; big data; data science; statistics
- Identifier
- http://hdl.handle.net/1959.13/1447162
- Identifier
- uon:43070
- Identifier
- ISBN:9783030768409
- Language
- eng
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