Dropout Detective Overview 🔗
Using Dropout Detective to Review Student Risk, Activity, and Notes
1. Check the data refresh status before reviewing students 0:00
- Data is updated each evening within your LMS.
- Open Dropout Detective and confirm the platform is being used with current data.
- Scroll to the bottom of the screen to find the last updated date and time.
- Use this timestamp to verify that the student information reflects the most recent evening update.
2. Review the risk index and available filters 0:23
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Locate the Risk Index for each student.
Use the risk index as a quick indicator of student concern level.
Review the data points contributing to the index, such as:
- Grades
- Missing assignments
- Zeros
- LMS activity
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Other available indicators
Apply filters as needed:
- High
- Medium
- Low
- Any custom filters configured by the Access Manager admin.
3. Select the appropriate dashboard or student list 0:49
- Review the dashboards at the top of the screen.
- Choose the dashboard assigned to you or created by an Access Manager.
- If needed, switch to All Students to broaden your review.
- Use dashboards to focus on a specific group of students or responsibilities.
4. Use search, trend, and last note fields to narrow your review 1:04
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Use the search bar to quickly locate a specific student.
Review the trend field to see the student’s seven-day rolling risk change:
- Increasing
- Decreasing
- Check the last note field to see when the most recent note was entered.
- Use these fields to prioritize students who may need immediate attention.
5. Open a student profile to review course-level data 1:20
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Click the student’s name to open their profile page.
Review the student’s current courses displayed on the profile.
Confirm whether you are viewing:
- Administrative/advisory access, which may show all courses
- Classroom teacher access, which may show only your course data
- Use the profile view to understand the student’s current academic context.
6. Review course performance indicators 1:43
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Examine the course data that updates each evening.
Check the following indicators for each active course:
- Grades
- Zeros
- Missing assignments
- Last access within the course
- Last upload time into the course
- Use this information to identify courses where the student may be struggling or disengaged.
7. Expand zero details to identify missing work 2:02
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Click the Show buttons next to zero indicators.
Review the list of assignments where the student has zeros.
Capture the following details for each assignment:
- Due date
- Assignment name
- Points possible
- Use this information to determine which assignments need follow-up or intervention.
8. Send individual or group messages when intervention is needed 2:17
- Use the messaging tools to contact the student or a group of students.
- Select Send individual message to begin a message workflow.
- Choose one or more students if sending a group message.
- Draft and send the message through the solution.
- Note: This messaging option is available only through the Canvas LMS.
9. Add and review notes for student support tracking 2:49
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Navigate to the Notes tab for the selected student.
Enter notes documenting actions taken, observations, or follow-up plans.
Remember that anyone with access to the student may see the notes unless restricted by Access Manager permissions.
Review existing notes at the bottom of the tab.
Filter notes by:
- Note type
- Tags
- Use tags to organize notes by activity, intervention type, or support category.
10. Use history data to identify patterns over time 3:15
- Open the History tab to review historical student data.
- Check the risk index over time, including the last 30 weeks or 30 days.
- Review the week-by-week historical view.
- Click the grades view to see the last 30 days of grades.
- Look for patterns that may explain changes in performance or risk.
11. Review context and associated allies 3:42
- Open the Context tab to see allies associated through the dashboard system.
- At the administrative level, review the instructors connected to the student’s course data.
- Use this information to coordinate support with the appropriate staff members.
Cautionary Notes
- Data is updated each evening, so recent changes made during the day may not appear until the next refresh.
- Messaging is only available through the Canvas LMS; confirm your environment supports this feature before attempting to send messages.
- Notes may be visible to other users who have access to student data within Dropout Detective.
- Access to course data may vary by role; classroom teachers may see only their own course data.
- Use filters carefully so you do not overlook students outside the selected risk level or custom group.
Tips for Efficiency
- Start with the risk index and trend to prioritize students who need immediate attention.
- Use dashboards to focus on your assigned student groups instead of searching manually.
- Use the search bar for fast student lookup when you already know the name.
- Check zeros and missing assignments before reviewing broader history data.
- Add tags to notes consistently so they are easy to filter and review later.
- Use the history tab to confirm whether a concern is isolated or part of a longer pattern.
Need Help? Reach out to support@aspiredu.com.