How PySchool.ai reviews educational content

What this policy covers

This policy covers public Python practice hubs, lesson previews, and curriculum lesson content on PySchool.ai. It explains how content is selected, generated, reviewed, tested, and updated before learners rely on it.

How lessons are created

Lessons may start from curriculum planning, manual authoring, or AI-assisted draft generation. Drafts are not treated as final content until they are reviewed in the admin workflow and attached to the appropriate curriculum module.

Review and testing process

• Lesson prompts are checked for a clear task, examples, and expected output.
• Starter code, visible examples, and hidden tests are reviewed for consistency.
• Public hub links are selected to match the stated topic and avoid login redirects.
• Locked lessons use public teaser pages so learners can inspect the problem context.

Updates and corrections

Public hubs are reviewed when new SEO tickets, curriculum changes, or content fixes are shipped. Individual lesson pages use the lesson catalog date where available. If you find an unclear prompt, broken example, or incorrect expected output, contact us so it can be reviewed.

Contact and support

Questions about curriculum content or corrections can be sent through Contact Us. We use learner feedback to prioritize fixes and improve public practice pages.