displayName
Student Engagement Analytics
workflowKind
operational
triggerType
scheduled
typicalCadence
weekly
complexity
cross-team
description
Analyzes student engagement signals to identify at-risk learners --
computing engagement scores from login frequency, content interaction
depth, assignment completion velocity, discussion forum participation,
and video watch-through rates, applying early-warning models to predict
dropout risk, segmenting cohorts by engagement patterns for targeted
interventions, and correlating engagement metrics with learning outcome
assessments. Produces engagement dashboards, at-risk student alerts, and
intervention effectiveness reports. Excludes individual student
counseling.