Webinar Replay | What does AI-Native Learning Actually Mean?
Course Analytics

See What Students Know. See Where They Struggle.

Real-time visibility into what students understand, where they get stuck, and who needs help. Drawn from every Interactive Learning Experience, assessment, and conversation on Axio AI-Native.

The Principle

What the Gradebook Can't Show You.

Time on page is not learning evidence. On Axio AI-Native, mastery, confusion, and risk surface as students learn.

Faculty analytics dashboard with class engagement metrics and a feed of common student questions surfaced from course conversations

Mastery

Mastery, Objective by Objective.

See what each student has demonstrated against the learning objectives faculty defined. Progress is visible at the level of what they actually know.

Friction

See Exactly Where Students Get Stuck.

Confusion points surface from students' conversations in Interactive Learning Experiences. Assignment-level struggles and common misconceptions become visible as they happen.

Signals

Catch Students Slipping, Before Grades Show It.

At-risk signals based on engagement and performance, drawn from objectives, assessments, and ILE conversations. If a faculty member spots a struggling student, reaching out through Student Notifications is one click away.

Patterns

Zoom Out to See the Whole Picture.

Surface patterns across sections and courses, so faculty and leadership can act on what the data shows instead of hunting for it.

Deployment

Available on the Axio AI-Native Platform.

Course Analytics depth comes from Axio owning the learning surface end to end. For institutions running Axio components inside Canvas, Brightspace, or Blackboard, see Student Course Assistant visibility for the admin-level analytics available in AI-Augmented.

See Course Analytics in Action.

We'll walk you through the dashboard, the at-risk signals, and the intervention options on a sample course.

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