Smart colleges and universities are beginning to use predictive analytics to transform massive amounts of data into active intelligence, using it to help their customers – i.e., students – learn their course material more effectively and boost their grades.
Analytics in education is empowering the learner in every step of their journey, not just with course success. Which courses should I select? What should I major in? What is the quickest and least costly path to graduation? What is the right career for me? Smart companies can learn from education analytics by extending their own “big data” efforts to identify and groom hidden talent (a plotline of the movie “Moneyball”) and to create a culture that emphasizes lifelong learning built around collaboration and teamwork.
Harvard’s University’s Eric Mazur has been applying the “flipped classroom” concept for two decades. His ALT-C 2012 Keynote is must viewing for educators and anyone interested in analytics in education.
EDUCAUSE REVIEW, ER Volume 46, 2011, Volume 46, Number 5, September/October 2011
Attempts to imagine the future of education often emphasize new technologies—ubiquitous computing devices, flexible classroom designs, and innovative visual displays. But the most dramatic factor shaping the future of higher education is something that we can’t actually touch or see: big data and analytics. Basing decisions on data and evidence seems stunningly obvious, and indeed, research indicates that data-driven decision-making improves organizational output and productivity.1 For many leaders in higher education, however, experience and “gut instinct” have a stronger pull.