SEAtS Software

Student Attendance Management

Manual Student Attendance

SEAtS student attendance management solutions capture proof of presence, engagement and student success.

 

SEAtS platforms offer a hybrid solution that matches the requirements of individual schools,

departments and courses providing the best approach.

Technology Features

Bluetooth iBeacons

 

Class check in through GPS which is suitable for small lecture rooms & a cheaper alternative to hardware devices.

SEAtS Mobile App 3.0

 

Class check in through cell phone app with calendar & class schedule displayed.

SEAtS Mobile App

Wall Mounted Devices

 

Proximity & fingerprint terminals that capture physical student attendance.

device capture solutions
Student Retention Brochure

The importance of Student Retention

 

Student retention is one of the most important issues facing modern higher education today. SEAtS Software provides a cloud based solution that captures real time data in order to help universities, colleges and institutions to tackle retention issues and maximise student completion.


The system automates attendance monitoring,
creating significant time and cost benefits

Adrian Ellison – Director of Information Technology
UNIVERSITY OF WEST LONDON

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

IDENTIFY AT-RISK
STUDENTS USING
EARLY WARNING SYSTEM
WATCH HOW
STUDENT ATTENDANCE CAN HELP
STUDENT RETENTION
PREDICTIVE
ANALYTICS IN
HIGHER EDUCATION