K-12 schools

Early Warning Signs

Applies the research-validated ABC early-warning model (Balfanz), which tracks three per-learner indicators, Attendance, Behaviour, and Course performance, where tripping even one indicator signals materially elevated risk. It surfaces which learners need intervention first and which indicator drives cohort risk. Works with LearnNoow and Moodle.

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The early warning signs dashboard in LearnBoard

KPI strip (4 tiles)Students flagged, High-risk, Attendance flags (A), Behaviour flags (B).

Early warning signs

Everything on this screen and what shape it takes.

Every card carries an info tooltip stating what it shows and how it is computed, an Ask AI action scoped to its own figures, and a CSV export where the card has a CSV export.

  • KPI strip (4 tiles)KPI row
  • Tri-indicator compositeScatter
  • Cohort risk gaugeGauge
  • Indicator prevalenceBar
  • Students needing interventionTable

Captured from the product

The early warning signs screen, as it actually looks

These are screenshots of the real cards, filled with the synthetic dataset the demo runs on. Yours draw from your own LMS.

  • Tri-indicator composite

    One dot per learner: x = attendance rate, y = course-performance score, colour = behaviour band (0 / 1 / 2+ incidents), dot size = flags tripped.

    Tri-indicator composite, from the early warning signs dashboard in LearnBoard
  • Cohort risk gauge

    Share of the scoped cohort flagged.

    Cohort risk gauge, from the early warning signs dashboard in LearnBoard
  • Indicator prevalence

    How many learners trip each indicator side by side.

    Indicator prevalence, from the early warning signs dashboard in LearnBoard
  • Students needing intervention

    Learners ranked by composite risk with A/B/C sub-score bars and a period-over-period trend arrow.

    Students needing intervention, from the early warning signs dashboard in LearnBoard

Questions

How this screen is computed from the product's own documentation.

What does the early warning signs screen show?

Applies the research-validated ABC early-warning model (Balfanz), which tracks three per-learner indicators, Attendance, Behaviour, and Course performance, where tripping even one indicator signals materially elevated risk. It surfaces which learners need intervention first and which indicator drives cohort risk. Course performance (C) always renders on real LMS data; Attendance (A) and Behaviour (B) prime until their your organisation's data layers are connected, and the composite recomputes on whichever indicators are active. A priming banner names the active vs. awaiting indicators.

How is kpi strip (4 tiles) worked out?

Students flagged, High-risk, Attendance flags (A), Behaviour flags (B)

How is tri-indicator composite worked out?

One dot per learner: x = attendance rate, y = course-performance score, colour = behaviour band (0 / 1 / 2+ incidents), dot size = flags tripped

How is cohort risk gauge worked out?

Share of the scoped cohort flagged

How is indicator prevalence worked out?

How many learners trip each indicator side by side

How is students needing intervention worked out?

Learners ranked by composite risk with A/B/C sub-score bars and a period-over-period trend arrow

Which plan includes it?

The K-12 schools pack, sold from Business and up. Every card on it carries an Ask AI action and an info tooltip, on every plan that includes the screen.

Which platforms does LearnBoard support?

LearnNoow and Moodle. Connect either one read-only and the same dashboards, charts, alerts and AI answers run on it. Nothing is installed on LearnNoow; Moodle has two free companion plugins.

LearnBoard

See early warning signs on your own LMS

One read-only connection and this screen fills with your figures. Early warning signs is in the K-12 schools pack, sold from Business and up.

Built for LearnNoow and Moodle.

The early warning signs dashboard in LearnBoard