Automate Class Attendance
What if you could
Use your existing WiFi data to automatically measure class attendance
Class attendance and its impact on student success is virtually universal to every university. Even still, we’ve struggled to collect it because it requires significant faculty input and effort.
Degree Analytics completely automates the process of taking attendance – delivering metrics you’ve been asking for for years with greater accuracy than traditional methods – scalable to institutions of any size.
Have automated class attendance with over 90% accuracy delivered in 30 days or less
Degree Analytics strives to be the simplest platform you’ll ever deploy – No need for faculty to change their routines, new cultures to adopt, or additional hardware required. The investment you’ve already made in the WiFi network is all we need. This means we launch in weeks – not months or years – delivering data you’ve been asking for for years as easy as flipping a switch.
Class Attendance Accuracy
Of unretained students have attendance issues
Automated alerts generated as early as the second week of classes
Weeks of improved attendance after nudge or intervention
Automatically generated alerts for students who are having difficulty attending classes
Class attendance is the single most important variable to student success – No predictive model is complete without robust attendance data
Analyze which class are most attended, and which cohorts of students have the best (and worst) attendance to optimize course schedules around core classes
Using automated alerts, nudging students towards higher attendance has never been easier
How it works…
Smart devices are ubiquitous, students never leave home without one
Smart devices are always sending signals, searching for the nearest network connection point
Your network captures and logs these signals passively in background 24/7
Combined with schedule information, class attendance can be completely automated
Use Case: First Generation Students Class Attendance
First Generation students often struggle to adapt to college life. From Day 1 of the semester, first generation students that don’t persist have clear issues attending class compared to 2nd+ generation students.
Automated alerts identify these student’s with attendance issues within the first two weeks.
Use Case: Course Schedule Optimization
Meet the student when and where they want to be.
Understand what time of day or day of the week class attendance is highest for various courses and cohorts or students. Optimize how and when you schedule core classes so they have the highest likelihood of being attended.