What's in the eBook

Learn how content-based filtering marks a novel approach to keeping students safe online - one that is proving to be more accurate and easier for educators to manage.

K-12 educators and administrators are often responsible for shielding students from inappropriate content online. Traditionally, this has involved monitoring and filtering web access of appropriate and inappropriate websites. This URL-based filtering has become largely ineffective. Fortunately a new method has emerged that uses artificial intelligence to analyze the actual content on web pages in real time:

  • Why Traditional Web Filtering Falls Short - See why URL filtering no longer reflects the dynamic, ever-changing nature of the internet.
  • The Problem with Flagging Terms - Find out why keyword flagging has its limitations and how to overcome them.
  • How to Get as Close as Possible to the Web User - Discover new tools for streamlining safe digital learning environments with AI.
  • Case Studies and Use Cases for Smart Filtering - Learn about technological advancements that help educators be more effective and efficient.