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Published on Mar 20, 2013
Interest in big data, data mining, and analytics is strong and growing in business and government. Recent reports by McKinsey, HBR, and Deloitte indicate that big data and analytics are just beginning beginning to make their impact in many sectors. The tools and methods of analytics are developing rapidly and are increasingly easier to use. In education, the adoption of analytics has been slow, and when initiated, often focused on improving organizational processes or identifying at-risk-learners. Analytics hold significant value in improving the spectrum of the teaching and learning process, not only for targeting a particular variable. This presentation will review the context that's driving popularity of analytics, provide cases and examples of use in education, and argue for the use of proactive models that emphasizes improving the learning experience, instead of only reacting to warning signs.