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AI-powered / Student Engagement & Screen Time
Explore adoption, activity-derived screen time, and participation across schools and grade bands. AI-powered insights summarize coverage gaps and usage patterns so district teams can ask more targeted questions.
A view inside the product
Illustrative sample data. Aggregate adoption trends help teams compare participation across grade bands. Activity signals describe usage, not learning outcomes.
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
Use multiple views of observed activity to understand reach. Connect participation patterns with school schedules, instructional plans, and local context.
AI-powered adoption insights complement a district-wide view of student participation and activity.
Connect AI-powered coverage insights to school and grade-band views to investigate differences in observed use.
Review AI-powered activity summaries alongside time-of-day patterns instead of relying on a single screen-time figure.
AI-powered coverage-gap summaries help teams identify where participation needs closer investigation.
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.
Use day, week, or month views and school or grade-band filters to set a relevant comparison.
Compare adoption, active students, activity-derived screen time, and in-school share.
Use AI-powered narratives and school breakdowns to investigate inactive or not-reached students.
Discuss schedules, instructional plans, data coverage, and access needs with school teams before drawing conclusions.
District context matters
Activity-derived screen time describes usage, not attention or learning outcomes. Review school schedules and reporting coverage when interpreting activity or following up on students shown as inactive or not reached.
Questions, answered
Screen time is derived from reported activity. Pair it with instructional schedules and school context; it measures usage rather than attention or learning outcomes.
School breakdowns show enrollment, active students, adoption, and average screen time. Grade-band trends, time windows, coverage views, and AI-powered summaries help identify patterns for closer investigation.
Coverage views highlight active, inactive, and not-reached students for closer review. Explore reporting coverage, schedules, device use, and local circumstances with school teams to understand possible access or participation needs.
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 narratives connect EdTech priorities with visibility into AI tools, student adoption, and usage trends.
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.