A new web-based data system that can help quickly and easily identify students with multiple risk factors for dropping out.

If, it is exciting to observe that the U.S. high school graduation rate hashit an all-time high of 80 percent; we are all concerned to learn that, about 3 million students exit high school annually without graduating. This is painful for the involved families and catastrophic for the entire nation.

But, thanks to the Big Data and Analytic technologies and methodologies which henceforth help: colleges and districts, universities and educators, to mitigate the risks, when it comes to help each individual reach graduation, based on informed decisions.

As part of our global commitment, Connectikpeople.co soon Retinknow® encourages MindShine Technologies (developer of the Student Risk Assessment System), to continue focusing on the objective factors to help districts proactively identify and help

students at any age.

The Student Risk Assessment System aims to evaluate the whole student to determine if he or she is likely to leave school.  In fact, in conjunction with existing student information system, districts or other educational specialist, can collect data to create a Risk Factor Index for each student. Educators can run this index at any time to determine if their actions are making a difference.

Based on these data, districts can share best practices and target their resources to programs and strategies that have been proven to work.