Self-Attendance via mobile devices with red-flag detection
Without the need for any additional hardware for your classrooms, the Wozzad Attendance Monitoring Application allows students to self-register (or check-in) via their iPhone and Android devices.
The system utilises the devices' GPS location and timestamp. This data is then compared to where they should be and at what time. Further analysis can then help identify trends and patterns, as each self check-in will carry authentication method and installation ID of the app, meaning suspicious activity can be red-flagged.
Each student will have their timetable uploaded to the app and for each lesson, self check-in is only active 15 minutes prior to lesson start.
Students also have the ability to warn the University of non-attendance, such as a doctor's appointment. This helps the lecturer to plan lessons based on expected numbers.
Upon check-in the app will continue to poll the GPS location to ensure the student is in the class for the entire duration, and not just the start.
Student to self-register
Employers can see attendance
University can identify trends
Advance warning of absence
Uses Bio-metric Authentication
GPS data for duration of class
Integrates to University timetables
Administrators and Employers can view student attendance
A simple view of each students' attendance and overall attendance record via the University Management Portal and Employer Portal.
Details of Installation ID and type of Authentication can be accessed here to identify fraudulent check-ins.
Student self check-in with fraudulent detection
By downloading the app from Apple App Store or Google Play, students can see their timetable data and self check-in either with password, finger-print or the more popular FaceID from Apple.
Fraudulent detection includes comparing Unique installation IDs for each check-in and the type of Authentication, bio-metric or password. With this data, we can determine on which installation of the application was the check-in completed on.
This means we can identify devices that has multiple check-ins and alert the administration team, as this suggests students checking in for others.