Wednesday 7 May 2014

Predicting success and failure with student analytics

By Cynthia Karena, Kiama Lake (AU) Independent Times


Increasing digitisation of student records means predictive analytics is expected to transform teaching and become a key tool in learning more about students. Predictive analytics is a process in which data collected about the student – typically attendance, subjects taken, assessment – is used to understand learning patterns, identify skill gaps, predict performance and identify learning opportunities. Teachers and administrators have always analysed student data, but as more student records become digitised – for example, using a consistent online marking system school-wide – there are more opportunities for analysis. Digitised data is also quicker and easier to analyse.


http://www.kiamaindependent.com.au/story/2258418/predicting-success-and-failure-with-student-analytics/


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