At-risk learner signals
Early alerts when engagement or performance patterns suggest a learner needs intervention—before results are final.
- check_circle Engagement pattern detection
- check_circle Performance trend alerts
- check_circle Coordinator-facing notifications
- check_circle Works with LMS progress data
Intervene before it is too late
Surface risk signals from real LMS activity—so coordinators act while there is still time to help.
Engagement pattern detection
Spot drops in activity that often precede failure. Early attention beats end-of-term surprises.
Performance trend alerts
Flag concerning score patterns across assignments and modules. Trends matter more than a single bad week.
Coordinator-facing signals
Put alerts where academic staff already work. Risk insight should not hide in unused report exports.
Built on LMS progress data
Use the same course progress context faculty trust. Signals stay grounded in delivery—not a separate analytics silo.
Support teams, not just dashboards
Turn early warning into practical follow-up for the people responsible for learner success.
Cohort visibility
See engagement trends alongside course progress. Coordinators understand who needs help across a batch—not one learner at a time.
Actionable next steps
Make risk useful by highlighting who to contact and why. Dashboards without follow-through do not change outcomes.
Faculty partnership
Share signals with instructors when intervention belongs in the classroom. Support stays collaborative across roles.
More Next AI Features features
Lesson & content
Draft outlines, summaries, and supplemental materials aligned to your curriculum and learning objectives—ready for instructor review.
gradingGrading & feedback
Support rubric-based grading with suggested scores and personalized learner feedback instructors approve before sending.
auto_awesomeQuestion generator
Generate practice questions and quiz items from topics, lesson content, or learning objectives—then review and refine before learners see them.
picture_as_pdfPDF question upload
Upload existing question papers as PDFs and extract structured questions for review—so legacy papers become usable digital item banks faster.
upload_fileImport & extraction
Pull structured content from documents and legacy materials to speed up course authoring without manual re-entry.
auto_awesomeLMS workflows
AI tools appear where instructors already work—course builder, assignment review, and progress views—not a separate product.
hubComplements Agents
AI Features assist staff authoring and grading; AI Agents handle learner-facing support—both on one platform with shared governance.
See At-risk signals in a live demo
We will walk through this capability for your institution—coaching, school, or university.
Request a demo