Identifying students at risk of dropping out early

Universities notice disengagement only after failed exams, when interventions are less effective.

5 upvotes

Problem

LMS activity, attendance, and assessment signals are siloed; advisors lack ranked outreach lists.

Advisors wait for student-initiated meetings or end-of-term grade reviews.

Higher dropout and wasted student debt.

Risk models can prioritize outreach with explanations advisors can act on.

Proxy variables may reflect socioeconomic bias.

Stigmatization; discriminatory targeting.

Mandatory advising and early-alert rules.

Rules are coarse; advising capacity limited without prioritization.

UNESCO higher education equity briefs
Links early support to retention and equity outcomes.

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