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AI-powered / AI Insights & AI Usage
Understand detected AI tools, student adoption, and interaction patterns. AI-powered narrative insights also summarize application review priorities, coverage gaps, and license underutilization across your EdTech reporting.
A view inside the product
Illustrative sample data. AI usage insights connect detected tools, interactions, and grade-band adoption without displaying individual student records.
Scroll horizontally to explore the screenshot, or open the full-size image for details.
Open full-size screenshot (opens in a new tab)Visibility with context
Separate the AI that helps summarize your EdTech reporting from the AI tools students are using. Both views support a more informed district conversation.
Narrative AI-insight panels summarize key patterns across the EdTech modules to help focus your next review.
AI-powered insights complement searchable and filterable AI-tool reporting, with usage and approval context.
Put AI-powered usage summaries alongside student and grade-band views to investigate who is using which tools.
Review AI-powered insights with the reporting window and roster status in mind before sharing conclusions.
Built around your review
AI-powered insights help focus the work. Your team brings the educational, financial, and privacy context that makes the decision meaningful.
Review tools, adoption among active students, interaction volumes, and vendor mix.
Compare grade-band adoption and top tools, then inspect tool and student-user views.
Consider reported risk, approval status, blocked-message counts, roster matching, and the reporting window.
Bring the narrative and underlying usage information into district discussions about application review and responsible AI use.
District context matters
Use detected tools, interaction trends, reported blocked-message counts, and approval posture to focus district discussions about AI use. Review AI-powered summaries alongside the underlying data and your district's policies.
Questions, answered
AI insights are narrative summaries of EdTech patterns such as adoption, coverage, application review priorities, and license underutilization. AI usage reporting describes detected AI tools, student adoption, interactions, messages, vendor mix, and approval context.
Search and filter AI-tool and student-user tables, compare grade-band adoption and top tools, and follow tool-detail or conversation-view links. In a demo, explore the available views and permissions for your district.
Reporting includes module-specific and full-report generation controls, a report menu, a roster-match indicator, and manual roster-sync status. A demo is a useful way to explore these controls and discuss your district's reporting and roster requirements.
Keep exploring
Bring application visibility, spending context, student reach, and AI-powered insights into your district's EdTech review.
AI-powered insights prioritize discovered applications by reach and risk, supporting catalog decisions and district DPA review.
AI-powered utilization insights help identify idle-spend candidates and prepare for application renewal decisions.
AI-powered adoption and coverage insights connect student activity, school comparisons, and screen-time context.
Explore the broader K-12 reporting and analytics capabilities.
Add device performance and connectivity context to your review.
Explore the teacher portal and classroom visibility tools.
Learn about the separate student risk and safety capability.
Explore visibility into student digital activity for families.
Your district. Your questions.
Walk through the capabilities that matter to your district. Discuss application review, license information, reporting coverage, and the insights your teams need.