Workflow · workflow
Duolingo builds BirdBrain ML model to personalize lesson difficulty for each learner
Without adaptive difficulty, learners either wasted time repeating content they already knew or struggled with material beyond their current level, making it impossible to teach the right thing at the right time.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Learner completes exercises
The more practice questions a learner completes, the more BirdBrain learns about their proficiency and about question difficulty.
Tools used
バードブレインセッション・ジェネレーター
Outcome
A/B testing showed BirdBrain-powered lessons consistently improved learning outcomes; learners tackled more problems and continued daily learning more often, and the overall learning experience was significantly improved.
Results
Running sinceOctober 2020
Grounding & classification
Source type: technical build writeup
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personalizationpredictive analyticsrecommendation systemmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describededucationcustomer satisfactionthroughput increasetechnical build writeupextract classify route