AI for Student Engagement and Retention
Enable education staff to use AI responsibly to notice disengagement early, communicate supportively, intervene in proportion to need and evaluate whether support actually helps learners stay and succeed.
Upcoming course. LMS delivery and enrolment are not open. Release dates will be confirmed.
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Planned learning outcomes
- Map the student lifecycle and select engagement indicators that suit a cohort and delivery mode
- Use AI to draft supportive, accessible communication and to run a grounded support assistant with safe handover to staff
- Design tiered early intervention triggers, responses and response times with clear human ownership
- Apply privacy, fairness and transparency requirements to engagement analytics and predictive risk scores
- Evaluate whether support interventions work and define escalation pathways to qualified staff
- Develop a student engagement and intervention plan for a cohort