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Simple data mining process to cultivate high performers

Teaching profession is facing lower job satisfaction, unclear idea related to a particular subject. Inaccurate teaching processes are generating slack in the education industry. To manage such issues we can use big data as used in famous movie "Moneyball". It can predict the future outcome by using simple statistics and work according to forecasted outcome. Proper mining could help us to find undervalued personnel with higher potential to attain a high success rate. So in educational context we can segregate major characteristics. These attributes can be:

1. High level of optimism, enthusiasm, sense of humor

2. High standard of expectation from their students

3. Continual self-evaluation

4. Self-criticizing, understanding and updating.

These attributes can be well observed if a bigger pool of educators is created and their continual behavioral attributes are analyzed. In this way future prospective educator’s list can be predicted and deploy them in proper institutional scenarios.

To read, follow: : http://www.brookings.edu/blogs/brown-center-chalkboard/posts/2016/02/03-teacher-moneyball-big-data-analytics-murray

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