Screen Time Analytics
AI-powered insights into how students really use their devices. Track productive learning time vs. distractions.
Why You Need This
School districts invest thousands in Chromebooks, but how do you know if they're being used for learning? Traditional usage reports show raw numbers—hours online, sites visited—but they don't tell you if students are actually being productive.
Screen Time Analytics uses AI to categorize device activity into productive learning time, neutral activities, and potential distractions. See which apps and websites students spend the most time on, identify patterns across classes and grade levels, and get actionable insights to improve digital learning outcomes.
Generate reports for administrators, teachers, and parents showing exactly how devices are being used. Identify students who may need support staying focused, and recognize those who are excelling at self-directed learning. Make data-driven decisions about your digital learning investment.
- ✓ AI-powered categorization — Automatically classify activity as productive, neutral, or distracted
- ✓ Per-student insights — See detailed usage patterns for individual students
- ✓ Class and grade comparisons — Compare productivity metrics across groups
- ✓ Trend analysis — Track how usage patterns change over time
- ✓ Exportable reports — Generate PDF and CSV reports for stakeholders
Common Use Cases
1:1 Program Evaluation
District administrators can measure the effectiveness of their 1:1 Chromebook program by analyzing productive learning time across schools. Use data to justify technology investments to school boards and stakeholders.
Student Support Identification
Counselors can identify students who are struggling to stay focused during class time. Early intervention helps students develop better digital habits before problems escalate.
Teacher Professional Development
Compare device usage patterns between classes to identify which teaching strategies result in the most productive device use. Share best practices across your teaching staff.
Frequently Asked Questions
How does the AI categorize productive vs. non-productive activity?
Our AI analyzes the websites and applications students use, considering context like time of day, class schedule, and assignment due dates. Educational platforms, research sites, and productivity tools are categorized as productive, while gaming and social media are flagged as potential distractions. You can also customize categories for your district's specific needs.
What about student privacy?
Screen Time Analytics collects aggregate usage data, not content. We track which applications and websites are used, not what students type or view. All data is encrypted, stored securely, and compliant with FERPA, COPPA, and state privacy laws.
Can teachers see their own class's analytics?
Yes, teachers can access analytics for their own classes through the teacher dashboard. They see aggregate class data and can drill down to individual students when appropriate for intervention.
How far back does historical data go?
Enterprise plans include one full school year of historical data. Districts can export data for long-term archival and year-over-year comparison analysis.
Ready to understand how devices are really used?
Screen Time Analytics is included in the Enterprise plan. Request a demo to see it in action.