Learning Analytics
SEAtS Learning Analytics collect, categorise and score data collected from physical and digital touch-points overlaid with data from timetables, student information and other campus systems.
What we do
SEAtS Data Repository supports your Big Data Analytics requirements by enabling you to process both structured and unstructured data from your campus and beyond and combine them with student profile and activity data to identify emerging trends and patterns.
What it means for your campus
SEAtS delivers integrated learning analytics using the power of predictive analytics and the SEAtS data repository. These powerful tools will help your team driver student success by identifying critical early interventions that will increase engagement, retention and achievement ratios on your campus.