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Featured Teachers

Featured Teachers
Ranking rules

We publish our ranking rules so teachers can focus on teaching and parents can trust the results.

How the ranking score is computed

Core principles

Rolling window

All metrics only count the last 30 days,How long a teacher has been on the platform does not affect ranking.

Based on student ratios

Each dimension is calculated as students meeting the condition divided by all students of the teacher, so inactive names do not add advantage.

Effectiveness first

Score improvement and high-scoring student ratio together account for 60% of the weight.

Refreshed every minute

Updated automatically every minute — the latest teaching results show up on the leaderboard right away.

Homepage spots

The top 20 are sorted by overall score; from rank 21 onward, teachers are shown randomly to give every listed teacher fair exposure.

Weight

Ranking dimensions and weights

Group Dimension Weight Info
Effectiveness
Share of students with score improvement
%
35% Students with at least one piece whose highest score exceeds its first score in the last 30 days ÷ all students of the teacher
Effectiveness
Share of students scoring 90+
%
25% Students with at least one analysis report scoring 90+ in the last 30 days ÷ all students of the teacher
Output
Share of students with 5+ reports
%
25% Students with at least 5 sheet-music analysis reports in the last 30 days ÷ all students of the teacher
Activity
Share of students with uninterrupted recent activity
%
15% Within the last 4 weeks, students whose activity is uninterrupted when counted backward from the most recent week; 1 to 4 consecutive weeks all count ÷ all students of the teacher
Total 0%
Dimension

How the ranking score is computed

formula
ranking_score = Σ ( weight_i × percentile_i ) × 100

Each dimension is 0~100% student ratio, mapped to a percentile (0-1) across listed teachers and weighted by the table above to produce a final 0-100 score.

The denominator is all students bound to the teacher, not only active students, so having more low-participation students does not create an advantage.

Data sources

  • Practice time / active days: student practice records in the app
  • Lesson notes: notes generated from student-uploaded class recordings
  • Analysis reports / scores: overall score (0~100) of AI performance analysis reports
  • Score scans: number of times students scanned or uploaded sheet music
  • Teacher–student relationship: based on the teacher each student is bound to

What the ranking does NOT depend on

  • How long a teacher has been registered
  • How much a teacher pays
  • Historical totals outside the 30-day window
  • Raw student count itself; all four dimensions are student ratios, independent of student count

Rules may be adjusted based on platform operations; this page is updated whenever they change.