Instructor

Identify at-risk students in your courses

LearnWise AI scans your courses for students with missing assignments, low grades, minimal participation, and no recent login, then helps you act on what it finds.

Why
it
matters

01
You find the students who need help without hunting for them
Spotting a disengaged student today means opening the gradebook, scrolling the discussion board, checking last login dates, and cross-referencing missing submissions, one course at a time. AI Ops Assistant does that across all your courses in a single request and returns a prioritized list. You spend your time on the conversation, not the search.
Time saving
02
Students get a response before they disengage completely
Most students who fall behind do not ask for help. A timely, specific check-in from their instructor, referencing the actual course and the actual gap, is often enough to re-engage them. AI Ops Assistant surfaces the signal early and drafts the outreach so the contact happens while the student is still reachable, not after the withdrawal deadline.
Retention improvement
03
Every student gets the same level of attention regardless of who teaches
A student in a large section with an overloaded instructor should receive the same quality of early intervention as a student in a small seminar. When faculty have the tools to identify and act on at-risk signals consistently across all their courses, the quality of that response stops depending on available time and starts depending on a repeatable process.
Supporting equity and inclusion

How to identify at-risk students with AI

01
Identify: ask for the at-risk signal across your courses
Ask for students with missing assignments, low grades, no recent login, or low participation, across one course or all of them at once. The agent reads your live gradebook and activity data and returns a prioritized list.
02
Review: drill into any student for a full picture
Ask for a complete profile on any flagged student. Grades across your courses, discussion activity, submission history, and last login. The full picture in one place, without opening multiple gradebooks.
03
Act: draft a check-in message or outline next steps
Ask the agent to draft a check-in message for one student or a group. Specify the tone, reference the specific course or gap, and the agent produces a draft for your review. You can also ask it to outline a re-engagement plan for a student who has missed several touchpoints.
04
Confirm: review the draft before anything sends
The agent shows you the message before it is posted or sent. You review, edit if needed, and confirm. Nothing goes to a student without your explicit approval. Every action is logged.

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

These are real prompts you can use with LearnWise AI Assistants. Copy them directly, or adjust to match your context and standards.
Weekly at-risk scan across all courses
prompt

"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."

Returns a prioritized list across all your active courses. Students flagged on multiple indicators appear first. Run this at the start of each week to stay ahead of disengagement before it becomes withdrawal.
Full profile on a flagged student
prompt

"Show me everything on Amara Osei across all my courses. Grades, missing assignments, discussion activity, and last login."

Returns a complete cross-course view of one student: grades in each of your courses, what they have and have not submitted, when they last logged in, and how active they have been in discussions.
Draft a student check-in message
prompt

"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."

The assistant produces a draft that references the specific course and gap. You review the full text before it is sent. Nothing is posted without your confirmation. You can ask for edits before approving.
Re-engagement plan for a student falling behind
prompt

"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?"

Returns a suggested re-engagement sequence alongside a draft first message. The plan reflects the specific course context. You review and confirm each step before anything is sent or scheduled.

Human approval on every write action. Every interaction logged.

AI Ops Assistant surfaces findings and proposes actions. It does not change anything in your LMS without your explicit confirmation. When you ask it to apply a fix, it shows you a full preview of what will change. You confirm. It acts. Every action is recorded in a full audit log your institution can access at any time. It matches the LMS permission sets.

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.