A practical program for building teaching-specific datasets
Educators can draw on three core features of the tool:
- Scenario-based templates: Directly call predefined education industry templates (e.g. student performance analysis, campus consumer behavior, etc.)
- parameterization: Control the amount of data (50-100,000 rows) via sliders, adapting to different teaching hardware environments
- Multi-format output: Export CSV for Excel teaching, SQL file for database courses, ZIP package with ER diagram description documentation
Teaching practice skills:
- Add the "include data anomalies" parameter to the generation to create typical data problems for students to discover.
- Designing classroom practice questions with the "Questions" function of Metabase.
- Support for internationalized classroom teaching using a multilingual interface
Case: A college SQL course uses a tool to generate a library circulation dataset containing 2,000 records, increasing teaching efficiency by 40%
This answer comes from the articleMetabase AI Dataset Generator: Quickly Generate Real Datasets for Demonstration and AnalysisThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of lack of real case datasets in the process of teaching data analysis?
