Identify at-risk students in your courses
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Whyitmatters
How to identify at-risk students with AI
How it works
AI Ops Assistant reads live gradebook entries, submission status, discussion participation, and login timestamps across all the courses you teach. No export or course-by-course navigation required. You specify the criteria, whether a grade threshold, missed assignments, days since last login, or a combination, and the agent returns a ranked list scoped to your courses.
From the same conversation you can drill into a flagged student, request a full cross-course profile, draft a check-in message, or ask for a re-engagement plan. The agent retains context throughout, so you do not need to repeat who you are asking about. Any draft it produces is shown to you in full before anything is sent or posted. The agent does not act independently.
Key features
- Missing or overdue assignments by course
- Current grade and grade trajectory
- Discussion participation rate this term
- Days since last LMS login
- Course completion progress relative to peers
- Combined signals: students flagged on multiple indicators at once
- Scoped to a single course or all courses you teach
What to ask
"Which students across my courses are showing low engagement this week? Flag anyone with a missing assignment, no login in the last 7 days, or below 65% in the gradebook."
"Show me everything on Amara Osei across all my courses. Grades, missing assignments, discussion activity, and last login."
"Draft a check-in message to Amara Osei. Friendly tone, reference that she has two missing assignments in NURS 301, and let her know I am here to help if something has come up."
"Tobias Wren is at 61% in NURS 301 and has not posted in three weeks. What steps should I take to re-engage him, and can you draft the first message?"
Human approval on every write action. Every interaction logged.
Ready to get started?
Book a 30-minute walkthrough. We will run a real audit on a demo course and show you exactly what your team would see.
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