Closed-loop training model for educational scenarios
Teachers can construct a three-step instructional cycle:
- Benchmarking:First-time work analysis generates radar charts that identify student strengths and weaknesses (e.g., harmonic complexity scoring)
- Goal disassembly:Assign special assignments for the weak points (e.g., to improve the rate of change of tempo), and require the next assignment to improve the corresponding parameter by 101 TP3T
- Case Comparison:Overlaying data from reports of students' outstanding work with hot sheets of similar styles to visualize the gap
Teaching tip: Create a database of class work and compare progress curves horizontally. Focus can be placed on the change in emotional expression scores for the 'artistic value' item
This answer comes from the articleCriticAI: AI-powered music quality analysis toolThe
May not be reproduced without permission:AI productivity tools " How can CriticAI be applied to visualize improvements in student work in music teaching scenarios?
