SEAtS Software

Student Engagement

Online

Predictive Analytics bell curve

The heartbeat of online student engagement

Engagement Online features 01 Online Attendance recording
Engagement Online features 02 Student Success Score
Engagement Online features 03 Schedule student support emails
Engagement Online features 04 VLE/LMS integration
Engagement Online features 05 Mobile Check-in for student placements/volunteers
Engagement Online features 06 Absence reports

Can you identify students who are struggling with their course and deliver much needed support in a timely manner? With SEAtS Student Success Score, educators can assess a student’s likelihood to succeed using a range of online engagement criteria, alert behavioural changes and reach out for timely interventions.

STUDENT SUCCESS
SCORING ANALYTICS

Evaluate each student using a single score calculated from hundreds of touch-points, both real-time and historical.

ASSESS ONLINE
STUDENTS

Initiate engagement as early as the third week and make critical corrections for better student outcomes.

CAPTURE ONLINE
ATTENDANCE

Feed your remote learning data into SEAtS for better student engagement management

Product Features

 

Attendance Online

SEAtS integrates with a range of VLE remote learning and third party solutions with numerous video engagement data points.

eAttend Student attendance

Single Student Success Score

 

Collate hundreds of online data points including online lecture attendance, VLE login, VLE resource access,  remote tutorials,  socio-demographic profiles and historic attainment into a Single Student Success Score. The result is a personalised view of engagement, retention and achievement for every student.

Student Success Score

Workflows

 

Create automated workflows that manage student communications based on their student success score. Send automated emails to students who are not meeting minimum enagement requirements asking them if they need any assistance. Workflows also escalate students who consistently fall short, flagging students who need help the most.

Student Engagement Workflows (2)

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.

Predictive Analytics grab on laptop

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.

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.

Featured Resources

KEY BENFITS
OF BIG DATA
IN HIGHER EDUCATION
WATCH HOW PREDICTIVE
ANALYTICS NEED NOT BE
A BIG EXPENSE
MONITOR STUDENT
ATTENDANCE TO INCREASE
STUDENT RETENTION

Any Questions? Our product specialists are ready to help.

Not sure which attendance solution suits your institution? Our specialists will put you at ease as quickly as possible.