High Priority
Implement Curriculum XML Sitemap Protocol
Establish a machine-readable curriculum hierarchy specifically for AI educational agents and edtech crawlers to understand your learning content structure.
Create a `curriculum.xml` file at the root directory, outlining your edtech platform's educational modules and courses.
Include XML sitemap entries with `<loc>` pointing to key curriculum pages, `<lastmod>` for freshness, and custom `<priority>` for critical learning paths.
Add a `<educationalContent>` schema to each curriculum entry, detailing learning objectives, target age groups, and prerequisite knowledge.
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High Priority
Edtech-Specific Crawler Selective Indexing
Fine-tune which segments of your edtech platform are accessible to AI models and crawlers focused on educational data ingestion.
Define specific `User-agent` directives in `robots.txt` for known edtech crawlers (e.g., `Edubot`, `LearnCrawler`) and AI models (e.g., `EduGPTBot`).
Use `Allow` directives for core learning modules, course catalogs, and student progress dashboards.
Use `Disallow` directives for administrative interfaces, internal user data, and non-educational content sections to prevent irrelevant data capture.
Medium Priority
Schema Markup for Learning Objects
Leverage structured data (Schema.org) to enable AI crawlers to accurately interpret and categorize your educational content as distinct learning objects.
Implement `schema.org/Course` markup for entire courses, including properties like `coursePrerequisites`, `hasPart` (for modules/lessons), and `educationalCredentialAwarded`.
Use `schema.org/Lesson` or `schema.org/VideoObject` for individual learning segments, specifying `learningTimeRequired` and `teaches` (skills learned).
Annotate interactive elements and assessments with `schema.org/Assessment` or `schema.org/Quiz` to highlight their pedagogical function.
High Priority
Pedagogically Sound Content Chunking
Structure your educational content into digestible, semantically coherent 'chunks' suitable for retrieval-augmented generation (RAG) in AI-powered learning platforms.
Organize content into logical learning units, ideally under 700 words each, focusing on a single learning objective or concept.
Ensure each chunk begins with a clear topic sentence and ends with a summary or transition, reinforcing the primary subject.
Replace ambiguous pronouns and jargon with precise educational terminology (e.g., 'learning outcome', 'pedagogical approach') to enhance clarity for AI interpretation.
