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Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: • The role of learning analytics and educational data science in schools • A critical appreciation of code, algorithms and infrastructures • The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments • Important digital research methods issues for researchers This is essential reading for anyone studying or working in today’s education environment!
Introduction: Learning machines, digital data and the future of education
Introduction: Learning machines, digital data and the future of education
In October 2015, over 1,000 young software developers and hackers attended HackingEDU, a three-day educational hackathon held at the San Mateo Event Center in San Francisco. Originally launched at the 2014 Google Summit, the annual HackingEDU event – the ‘world’s largest educational hackathon’ – is intended to help software developers and programmers, most of them college students, ‘revolutionize the education industry’ while competing for over US$100,000 in prizes (Hunckler, 2015). Featuring expert workshops, panel discussions and guest speakers, HackingEDU 2015 was supported by major technology companies including IBM, Google, Uber, PayPal and Automattic, as well as by successful educational technology businesses such as Chegg ...
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