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Proof-of-concept manuscript

Personalized interventions for drawing skills

Growth in the combined-intervention group.

AGE / GROUP6–12 years
PERIODFour intervention days per drawing cycle
DESIGNExperimental pre–post
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The question & approach

Children were assigned to practice-only, developmental-activity-only, or combined intervention groups. Drawgogo analyzed drawing indicators and informed personalized activities. The study used two reference drawing tasks.

32.3%

Growth in the combined-intervention group.

What improved & what was observed

Reported growth was 32.3% for combined practice and developmental activities, 26.3% for developmental activities alone, and 23.8% for practice alone. The observed difference between the combined and practice-only groups was 8.5 percentage points.

What this proof of concept measured

MeasureReported resultContext
Combined activities + practice32.3% growthExperimental Group B
Developmental activities only26.3% growthExperimental Group A
Practice only23.8% growthControl group
Combined vs practice-only growth8.5 percentage points higherDifference between reported group changes

What the findings support

The combined group showed the largest improvement on the drawing measures used in this study. Its results support a product hypothesis central to Drawgogo: analyzing the underlying abilities and pairing targeted activities with practice may be more useful than repetition alone.

The conclusion, in context

The short, small proof of concept provides initial comparative evidence. It does not establish long-term retention, general academic gains, or a guaranteed 32.3% improvement for an individual learner.

Relevant products

Research alignment indicates the product area informed by this work; it does not mean every current product version was tested.

Full study methods and context are available in the whitepaper on request.

The platform behind this proof of concept

400Mn data points. 50,000+ longitudinal users. A decade of learning.

These company-reported figures describe the foundation of ARRC. This proof of concept examines a specific drawing intervention; the platform-wide dataset is distinct from this evaluation.

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