Algorithm Summary for Risk Scores 🔗

The algorithm behind the Dropout Detective/Grade Guardian risk scores takes into account a number of student behaviors and then applies weights to each of those factors. And depending upon other factors, those weights can change.

Some of the factors that we pull from the LMS include, but are not limited to:

• Timestamp for start date of course

• Timestamp for end date of course

• Timestamp for last time student logged into LMS

• Current grade for student in course

• Final grade for student in course

• Total assignments for student in course

• Total assignments turned in on time for student in course

• Total assignments missing for student in course

• Timestamp for last time student accessed the course

• Timestamp for last time student sent a message in course

• Timestamp for last time instructor sent a message to student in course

• Timestamp for post in discussion forum in LMS

• Timestamp for each submission in LMS

Weights applied to these factors change based on other indicators such as:

• How far along in the course timeline we are (participation is more important early in the

course, grades are more important later in the course)

• Whether or not the course has many assignments or just a small number

• Number of courses in which a student is enrolled

As you will understand, the algorithm is the core of our intellectual property. These are the

pieces of information that we can share with you.

If you have specific questions about risk scores at your institution, please reach out to your dedicated relationship manager, or our support team at support@aspiredu.com.