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Education

Higher Education Institution

Reduction in Dropout
31%Reduction in Dropout
Increase in Course Completion
26%Increase in Course Completion
Less Admin Time per Advisor
44%Less Admin Time per Advisor

The Challenge

First-year dropout was high, and nobody knew who was slipping.

Classes are mixed, dropout is costly and staff time is short. The signals that would flag a struggling learner sit in three different systems. By the time the result sheet says who struggled, the year is gone.

What We Built

We built a week four flag from attendance, LMS logs and early marks.

  • Adaptive Learning

    A path per learner, set by what they have already done.

  • At-Risk Prediction

    Flag a learner who is drifting, while week four support still helps.

  • Automated Assessment

    First-pass marking and written feedback, at class scale.

  • Student Support Assistant

    Answers on fees, timetables and campus life at any hour.

The Outcome

  • Better Outcomes

    More learners finish the course, and finish stronger.

  • Educator Time Back

    Less marking and less admin, so more time to teach.

  • Earlier Intervention

    Reach the student while help still changes the result.

  • Evidence-Based Decisions

    Know which programmes worked and which only sounded good.