Description

Take your smart course from construction to active use and continuous improvement. This Skill is for university teachers who have already implemented course teaching and have data such as grades, assignments, evaluation rubrics, classroom interactions, or learning platform data. After uploading teaching data, the system will automatically complete: 1. Teaching data completeness check 2. Overall class learning analysis 3. Identification of weak knowledge points and skills 4. Student stratification and learning warnings 5. Stratified exercises and differentiated teaching interventions 6. Quality analysis of assignments, projects, and works 7. Analysis of course objective achievement 8. Design of teaching data visualization plans 9. Attribution of teaching problems 10. Continuous improvement plan for the next course cycle Applicable to various data types such as grade sheets, assignment scoring sheets, project evaluation rubrics, classroom interaction records, learning platform data, student work evaluations, AI conversation records, etc. This Skill does not redesign the entire course but, based on real teaching outcomes, helps teachers answer three questions: How well are students learning? Where exactly are the problems? How should teaching, practice, and improvement proceed next?