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Information and digital literacy in education via the digital path
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Literacy in a digital education world and peripheral issues.
Curated by
Elizabeth E Charles
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With analytics and data mining experiments in education starting to proliferate, sorting out fact from fiction and identifying research possibilities and practical applications are not easy. This issue brief is intended to help policymakers and administrators understand how analytics and data mining have been—and can be—applied for educational improvement while rigorously protecting student privacy. 
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This blog was originally featured on blog.aylien.com, a Text Analysis blog with tutorials, Data Visualisations and industry discussions.
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LIBER advocacy work on TDM and copyright reform presented at IFLA WLIC 2014, Lyon.
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Google admits scanning millions of student emails to serve targeted advertisements.
Google has been rocked by another scandal - this time, it's our children's privacy under attack. The company is facing a lawsuit over data-mining student emails in a bid for advertisements in the company’s Apps for Education tool suite for schools, Info Docket reported.
Maria Richards's curator insight,
March 22, 2014 9:36 PM
Unacceptable from Google while we try to teach children "ethical" online behaviours!
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Interest in big data, data mining, and analytics is strong and growing in business and government. Recent reports by McKinsey, HBR, and Deloitte indicate tha...
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What I’ve learned over the last three years of data mining the Internet Archive and what it means for the future of libraries in the big data era
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Data mining is a powerful tool being used by educational institutions to support student success, but often students do not know what data are being
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Creative Commons licenses provide a flexible range of protections and freedoms for authors, artists, and educators.
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Big Data is all around. Used in every type of industry to identify trends and possibility, data is also being used in education.
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Text mining and data mining are just two among a growing number of applied technologies. Jisc Inform explores how these and others are being developed to help researchers do everything from the mundane – such as managing routine research tasks more effectively – to the truly remarkable.
In medical research, text mining can be used to review tens of thousands of pages of research papers simultaneously and detect patterns and associations that could otherwise easily remain hidden from researchers. Those previously unimagined connections could help to bring about rapid, important advances in understanding disease pathology, genetics and drug development.
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