Leadership

Student Success

Identify at-risk students across every program at once

Most early alert systems flag students within a single course. AI Ops Assistant surfaces students who are struggling across multiple courses simultaneously, giving leadership the institution-wide view that no other tool currently provides without a data engineer.

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Why
it
matters

A cross-program view that did not exist before

Most early alert systems flag students within a single course. Getting a program-level or institution-wide view of students who are struggling across multiple courses simultaneously has historically required an IT request, a multi-day wait, and a data engineer to join the data. AI Ops Assistant surfaces that view on demand, in plain language, inside your LMS.

Surfacing insights

Intervention happens while there is still time

Students who are below threshold in two or more courses at once are the highest dropout risk group. The window to intervene is narrow. Surfacing those students early in the term, rather than after the withdrawal deadline, gives advisors and student success teams the time to act before the situation becomes irreversible.

Retention improvement

At-risk data tied directly to enrollment revenue

Every retained student is direct tuition revenue. Institutions with flat or declining enrollment that already run early alert programs are constrained by the gap between their alert system and actual LMS activity data. AI Ops Assistant closes that gap, giving the institution a more complete signal earlier.

Scaling operations

How to run an at-risk report with AI

Open AI Ops Assistant inside your LMS

Available directly inside your LMS as a floating button. No separate login or data export required.

Ask for the view you need in plain language

Specify the program, the threshold, and whether you want students flagged in one course, two, or more. The Assistant reads live gradebook data across all active courses. You can also ask the Assistant to visualize the data to add to your own dashboards and/or reports.

Review the prioritized student list

Results come back as a ranked list showing each student, which courses they are at risk in, their current grades, and last login activity. You can drill into any individual student for a full cross-course profile.

Export, share, or act directly from the report

Export the list for your student success team, share it with advisors, or ask the agent to draft outreach for specific students. Any action requiring a change in the LMS requires your explicit confirmation first.

How it works

AI Ops Assistant reads live gradebook data across all active courses in your LMS simultaneously, with no data export or IT request required. When you ask for students below a threshold across two or more courses, it joins that data in real time and returns a ranked list.

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A student below 70% in one course may recover. A student below 70% in three courses simultaneously is a materially different situation. This report surfaces the compound cases that single-course alert systems miss entirely.

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Each student in the report comes with their current grade per flagged course, last login date, missing assignment count, and discussion activity. Reports can be scoped to a single program, department, school, or the full institution, and exported directly for your student success workflows.

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Key features

Students below grade threshold in two or more courses simultaneously
Current grade per flagged course and overall average
Last LMS login date and days since last activity
Missing assignments by course
Discussion participation rate
First-week no-show flag where applicable
Scoped to program, department, school, or full institution

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.

First-week no-show detection

prompt

"Show me all students enrolled in online courses this term who have not accessed any content, submitted anything, or participated in a discussion in the first two weeks."

Students who do not engage in the first two weeks of an online course have materially higher dropout rates. This surfaces the full list while the intervention window is still open.

Multi-course at-risk identification

prompt

"Show me all students across the Nursing program who are below 70% in two or more courses simultaneously this term."

Returns a ranked list of students by risk level, showing which courses each student is flagged in, their current grade in each, and last login activity. Most early alert systems cannot produce this view without a data request.

Combined engagement and submission alert

prompt

"Which students have not posted in this week's discussion and have also missed at least one assignment this term?"

The combined signal is the value. A student who missed both a discussion and an assignment is a materially different risk flag than one who missed a discussion alone. This surfaces the compound cases.

Individual student cross-course profile

prompt

"Show me everything on Maria Gonzalez -- grades across all her courses, discussion activity, last login, and missing assignments."

A complete cross-course view of one student in seconds. Currently requires opening multiple gradebooks separately. Used by advisors and student success teams when following up on a flagged student.

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.

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Identify at-risk students across every program at once

Whyitmatters

How to run an at-risk report with AI

How it works

What to ask

Human approval on every write action. Every interaction logged.

Ready to get started?

Why
it
matters