Dropout Detective Product Website

Institutions without an existing student success solution are in a constant state of reaction when trying to support students. Dropout Detective uses a tactical approach to student success by analyzing today’s performance data and automatically identifying the students that need immediate intervention. Dropout Detective integrates with an institution’s LMS every night to retrieve students’ performance data across all of their courses. It analyzes the data to produce a daily risk score for each student. Administrators, advisors and faculty can quickly identify students that are at risk of dropping out or failing their courses and proactively reach out to them. These end-users can receive automatic emails alerting them to at-risk students, but data criteria and thresholds must be set prior to launch.

End-users are able to access their own student caseload and view each student’s profile more deeply, examining all courses, grades and performance data points. They can record notes on their students and send manual alerts, notifying other faculty and advisors about non-academic factors that may affect the student’s performance in class. End-users can view a 30-day and 30-week history of the student’s risk score to assess how their risk has been trending over time. It is important to note that different end-users have different access to student data.

Features for Student Success:

• Flags at-risk students
• Analyzes students across all of their courses
• Calculates daily risk score for students
• API-based integrations

Implementation:

• Time to go Live: Implementation take about one week. The actual integration process is a 30-minute call with an institution’s LMS administrator to give Dropout Detective access to the LMS, integrate course data, and tailor role permissions.
• End-User Training: One-hour training executed remotely