LearnWeaver uses YouTube search to recommend learning materials

LearnWeaver uses the YouTube Data API to search for public videos that can support a learner’s course, lesson, or learning point.

Search results are treated as candidate learning resources. Learners can review suggested items before using them in their learning path.

Queries are generated from learner-facing context such as the course title, confirmed learning goal, lesson title, point title, and user-edited recommendation criteria.

Internal IDs, account credentials, API keys, and private learner records are not used as YouTube search terms.

Returned YouTube results are used to show possible learning materials inside LearnWeaver.

The service stores resource metadata needed for recommendation review, such as title, URL, provider, and thumbnail metadata. LearnWeaver does not claim ownership of YouTube videos.

LearnWeaver does not send raw API keys, private notes, uploaded files, or authentication tokens to YouTube search.

Learners may report unsuitable material or replace a recommendation. Those actions are used to improve learning-resource quality and safety.

LearnWeaver recommends learning resources across course planning, lesson exploration, and point-level study workflows.

As more alpha and beta learners create courses and refresh recommendations, the number of educational search requests can exceed the default quota even when requests are user initiated and scoped to learning use cases.