Google Announces New Structured Data For Educational Videos

Google Announces New Structured Data For Educational Videos

New Structured Data For Educational Videos: In 2023, Google announced a new type of structured data markup for educational videos. This new markup, called Learning Video structured data, will allow publishers to specify the educational level, concepts, and skills covered in their instructional videos. This information will help Google better understand the content of these videos and serve users with more relevant results.

Google Announces New Structured Data For Educational Videos

Learning Video structured data is based on schema.org, a vocabulary for describing the semantics of websites and web pages. The following properties are supported by Learning Video structured data:

  • educationalLevel: The educational level of the video, such as primary school, secondary school, or college.
  • educationalSubject: The subject area of the video, such as math, science, or history.
  • educationalConcept: The specific concepts covered in the video.
  • educationalSkill: The specific skills covered in the video.

Publishers can add Learning Video structured data to their web pages using any of the following methods:

  • Microdata: Microdata is a format for embedding structured data markup within HTML elements.
  • JSON-LD: JSON-LD is a format for embedding structured data markup in a JSON object.
  • RDFa: RDFa is a format for embedding structured data markup using RDF attributes.

Once a publisher has added Learning Video structured data to their web pages, they can submit their site to Google Search Console for indexing. Once their site has been indexed, Google may start showing rich snippets for their educational videos in search results. Rich snippets may include information about the educational level, subject area, concepts, and skills covered in the video.

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Google’s new Learning Video structured data is a welcome development for both publishers and users of educational videos. Publishers will be able to reach a wider audience for their videos, and users will be able to find more relevant educational content.

Benefits of using Learning Video structured data:

Increased visibility in search results: Videos with Learning Video structured data may be eligible to show rich snippets in search results. This can make your videos more visible and appealing to potential viewers.
Improved search relevance: Google can use the information in Learning Video structured data to better understand the content of your videos and serve users with more relevant results.
Increased engagement: Videos with rich snippets tend to have higher click-through rates (CTRs) than videos without rich snippets. This is because rich snippets provide users with more information about the video before they click on it.

How to implement Learning Video structured data:

To implement Learning Video structured data, you can follow these steps:

  • Identify the educational level, subject area, concepts, and skills covered in your video.
  • Choose one of the supported structured data formats (microdata, JSON-LD, or RDFa).
  • Add the structured data markup to your web page.
  • Submit your site to Google Search Console for indexing.
  • Once your site has been indexed, Google may start showing rich snippets for your educational videos in search results.

Conclusion:

Google’s new Learning Video structured data is a valuable tool for publishers of educational videos. By implementing Learning Video structured data, publishers can increase the visibility and relevance of their videos in search results, and ultimately reach a wider audience for their educational content.

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