Multi-dimensional scoring
Break down speaking performance by accuracy, fluency, completeness, and naturalness.
Technology
An AI feedback loop for speaking, assessment, and learning data
说话小芽 is not a pile of features. Every practice session produces explainable feedback and turns it into a better next exercise.
Learning engine
Multi-dimensional scoring, semantic understanding, and course recommendation work together from input to feedback.
1Speech input
2Semantic model
3Course graph
4Feedback
Knowledge graph recommendation
Connect vocabulary, grammar, scenarios, and goals into a traceable path.
Human-AI feedback
AI gives instant guidance while teachers can locate shared problems from data.
Training flow
Diagnose level
Generate tasks
Correct in real time
Review and update path