AGENT 79 / 11 · RETAIL & E-COMMERCE · INSTITUTIONAL & STUDENT OPERATIONS

Student At-Risk Early Warning System

Tracks LMS logins, assignment submission patterns and grade trends for every student, and flags academic risk from behavioral drift — not just a GPA that's already fallen.

READS FROMLMS activity, assignment and grade data

MCP SERVEREducation Data Server

MODELRouted to lightweight monitoring model

HANDS OFF TOAdaptive Assessment Generator

RUN THE AGENT

Set your student population, model the retention impact

Adjust detection and intervention success rates and the agent recalculates tuition revenue protected instantly.

ASSUMPTIONS

Students monitored 6200

True underlying at-risk rate 12%

At-risk students identified, manual/GPA-only 40%

At-risk students identified, with agent 87%

Retained after early intervention 32%

Annual tuition value per retained student (£) 9500

Intervention cost per student (£) 650

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At-risk students detected, agent

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Extra students retained

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Tuition revenue protected

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Net value after intervention cost

Metric	Value

HOW IT WORKS

What the agent actually does

1. Monitor academic signals	Tracks LMS logins, assignment submission patterns, and grade trends for every student in real time.
2. Detect the drift	Flags students whose engagement or performance is diverging from their own baseline, not just those already below a GPA threshold.
3. Trigger academic triage	Alerts advisors with the specific signal that tripped, so outreach is targeted and timely.
4. Hand off	Routes flagged students to advising and tutoring resources, and outcome data back to refine the detection model.