FERPA & COPPA Compliance
Student data processed by AI must comply with FERPA for K-12 and higher education, and COPPA for students under 13. AI systems must not use student data for model training.
Services
We help EdTech companies and educational institutions deploy Amazon Bedrock for personalized learning — FERPA-compliant AI tutors, curriculum knowledge bases, and adaptive content that improves learning outcomes.
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Deploy FERPA-compliant generative AI for education platforms. AI tutoring, adaptive learning paths, and curriculum-based knowledge bases on Amazon Bedrock with student data protection.
Amazon Bedrock can be used in FERPA-compliant deployments when configured appropriately. AWS will sign a FERPA-compliant data processing agreement. The key requirements are: student PII must not be sent to models without appropriate controls, student data must not be used for model training (Bedrock guarantees this by default), and access must be limited to authorized school officials.
We configure Bedrock system prompts with Socratic methodology — the AI asks guiding questions, identifies misconceptions, and provides targeted hints rather than complete answers. Bedrock Guardrails can block certain response patterns. The instructional approach is defined by educators and encoded in the AI configuration.
Yes. Claude and other Bedrock models support 50+ languages. We configure AI tutors to detect the student's language and respond accordingly, with the ability to switch mid-conversation. Curriculum knowledge bases can include multilingual content for consistent educational accuracy across languages.
Student data processed by AI must comply with FERPA for K-12 and higher education, and COPPA for students under 13. AI systems must not use student data for model training.
AI tools in education must support learning, not enable cheating. Bedrock deployments need content policies that guide students through problems rather than providing direct answers.
AI tutors must provide curriculum-aligned answers specific to the course materials, grade level, and learning objectives — not generic internet knowledge that may contradict the curriculum.
Educational AI must adapt to different reading levels, learning disabilities, and language backgrounds — providing accessible explanations for all learners.
Deploy Bedrock with AWS's FERPA-eligible service configuration, no student PII in model prompts, and a data processing agreement that meets FERPA requirements for school officials.
Bedrock Knowledge Bases populated with course materials, textbooks, and curriculum standards — ensuring AI tutors answer from approved educational content, not the open web.
Bedrock Agents configured with Socratic guidance prompts that ask clarifying questions, provide hints, and guide students to answers — measuring understanding rather than delivering it.
Talk to our AWS experts about aws bedrock for edtech & education.