Big Data Predictive Analytics
SEAtS big data predictive analytics collect, categorise and score data
SEAtS big data predictive analytics collect, categorise and score data collected from physical and digital touch-points overlaid with data from timetables, student information and other campus systems.
Evaluate each student using a single score calculated from hundreds of touch-points, both real-time and historical.
Initiate engagement as early as the third week and make critical corrections for better student outcomes.
AND STATISTCAL MODELLING
Statistical analysis on expected goals, pre-defined objectives and preferred outcomes allows faculty staff to engage with students so everyone is on the same page.
AI ENGAGEMENT SCORE
Physical data like class attendance and library visits are interwoven with digital data from timetables, socio-demographic profiles and historic attainment to understand how a student learns. The result is a personalised view of engagement, retention and achievement for every student.
AI DATA VISUALISATION
Historic retention and attainment outcomes are used to train our machine learning models to identify patterns applicable to the student population as a whole. Statistical modelling generates comparative charts for future outcomes in attendance, grades and overall performance.
SEAtS Predictive Analytics
Every time a student interacts with their university – be that going to the library, logging into their virtual learning environment or submitting assessments online – they leave behind a digital footprint. Learning analytics is the process of using this data to improve learning and teaching.
We are deploying SEAtS’ powerful predictive analytics
and data science software to enhance student retention
and academic attainment.
Professor Alan Speight – Pro-Vice Chancellor
UNIVERSITY OF HULL
Better Student Retention and Outcomes
SEAtS have developed a process driven approach to Retention and Engagement based on the simple principle that you cannot manage what you cannot measure. The answer to the Retention Conundrum lies in the data locked away in systems all over you campus, on paper attendance registers, in administrative and academic, pastoral and welfare notes and emails.
SEAtS offer our customers a single unified secure shared platform that bring all this data together. SEAtS processes it and identify causes for concern in patterns of engagement and attendance. It then prompts academics and administrators to take critical early interventions.