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Post-class analytics overview

After each lesson, CoGuide provides comprehensive analytics that replace guesswork with data-driven insights. These detailed reports help you understand which parts of your lesson connected best, where attention dipped, and who may need a quick follow-up.
Data-driven teaching: Use analytics to improve your teaching effectiveness and student engagement.

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Core analytics features

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Transcript and timestamps

Get a complete record of your class with automatic transcription and precise timing.

Full transcript

Complete class record
  • Automatic speech-to-text transcription
  • Timestamped for easy navigation
  • Searchable content
  • Exportable in multiple formats

Speaker identification

Teacher vs. student separation
  • Distinguishes teacher from student speech
  • Individual student identification (with seat mapping)
  • Speaking time analysis
  • Participation patterns

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Participation heatmap

Visual representation of engagement across different topics and time periods.

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Topic-based heatmap

  • Engagement by topic: See which topics generated the most participation
  • Time-based analysis: Track engagement levels throughout the class
  • Participation intensity: Visual representation of participation density
  • Trend identification: Spot patterns in student engagement

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Seat-based heatmap (with seat mapping)

  • Location analysis: See which areas of the classroom participated most
  • Individual patterns: Track participation by seat/student
  • Group dynamics: Understand how students interact and participate
  • Seating insights: Data to inform future seating arrangements

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Question analysis

Detailed insights into your questioning effectiveness and student responses.
1

Question identification

CoGuide automatically identifies when you ask questions during class.
2

Response analysis

Track response times, participation rates, and answer quality.
3

Pattern recognition

Identify which types of questions generate the best engagement.
4

Effectiveness scoring

Rate question effectiveness based on participation and response quality.

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Wait time analysis

Comprehensive tracking of response times and classroom pacing.

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Wait time metrics

  • Average wait time: Typical time between question and first response
  • Wait time distribution: Range of wait times across different questions
  • Extended wait alerts: Questions that had unusually long wait times
  • Pacing insights: Recommendations for better question timing

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Response patterns

  • First responder analysis: Who typically responds first to questions
  • Response frequency: How often different students respond
  • Question difficulty: Correlation between wait time and question complexity
  • Engagement trends: How wait times change throughout the class

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Advanced analytics

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Attention trendlines

Track student attention and engagement throughout the class period.

Engagement curves

Attention over time
  • Visual representation of engagement levels
  • Peak and valley identification
  • Attention span analysis
  • Lesson pacing insights

Comprehension indicators

Learning effectiveness
  • Response quality analysis
  • Understanding indicators
  • Knowledge retention signals
  • Learning outcome predictions

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Overload detection

CoGuide can flag possible overload moments when answers show low confidence or accuracy.

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Overload indicators

  • Low confidence responses: Answers that suggest confusion or uncertainty
  • Accuracy drops: Decreased correctness in student responses
  • Participation changes: Sudden shifts in engagement patterns
  • Attention dips: Moments when focus appears to decrease

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Intervention suggestions

  • Pacing adjustments: Recommendations to slow down or speed up
  • Clarification needs: Suggestions for additional explanation
  • Break opportunities: Optimal times for short breaks
  • Review moments: When to revisit previous concepts

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Engagement highlights

Identify the most effective moments of your lesson for future reference.

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Positive highlights

  • High participation moments: Times when engagement was highest
  • Effective questions: Questions that generated great responses
  • Successful activities: Parts of the lesson that worked well
  • Student breakthroughs: Moments of clear understanding

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Areas for improvement

  • Low engagement periods: Times when participation dropped
  • Ineffective questions: Questions that didn’t generate responses
  • Pacing issues: Moments when the lesson moved too fast or slow
  • Attention challenges: Times when focus was difficult to maintain

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Analytics dashboard

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Main dashboard view

The analytics dashboard provides a comprehensive overview of your class performance: 
┌─────────────────────────────────────────────────────────┐
│                    Class Analytics                      │
├─────────────────────────────────────────────────────────┤
│  📊 Participation Summary                               │
│  • Total participation: 47 responses                   │
│  • Average wait time: 3.2 seconds                      │
│  • Engagement score: 8.5/10                            │
│                                                         │
│  📈 Engagement Timeline                                 │
│  [Visual chart showing engagement over time]           │
│                                                         │
│  🎯 Question Effectiveness                             │
│  • Most effective: "What causes...?" (9.2/10)         │
│  • Needs work: "Can anyone...?" (4.1/10)              │
│                                                         │
│  ⚠️  Overload Moments                                   │
│  • 15:23 - Low confidence responses detected           │
│  • 28:45 - Participation drop (suggest break)          │
└─────────────────────────────────────────────────────────┘

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Detailed reports

Access comprehensive reports for deeper analysis:

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Participation report

  • Individual participation: Detailed breakdown by student/seat
  • Participation patterns: Frequency and timing of responses
  • Engagement trends: Changes in participation over time
  • Comparison data: How this class compares to previous sessions

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Question analysis report

  • Question inventory: Complete list of all questions asked
  • Response analysis: Detailed response data for each question
  • Effectiveness ranking: Questions ranked by engagement and response quality
  • Improvement suggestions: Specific recommendations for better questioning

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Attention analysis report

  • Attention timeline: Detailed attention tracking throughout class
  • Focus patterns: When students were most and least focused
  • Distraction moments: Times when attention appeared to waver
  • Optimal pacing: Recommendations for better lesson pacing

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Data export and sharing

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Export options

Share and analyze your data using multiple formats:
  • Summary reports: High-level overview of class performance
  • Detailed reports: Comprehensive analysis with charts and graphs
  • Custom reports: Tailored reports for specific needs
  • Print-friendly: Formatted for easy printing and sharing
  • Raw data export: Complete dataset for external analysis
  • Participation data: Detailed participation records
  • Question data: Complete question and response information
  • Custom fields: Select specific data points to export
  • API integration: Structured data for system integration
  • Custom analysis: Data format for advanced analytics
  • Database import: Easy import into other systems
  • Programmatic access: Data format for automated processing

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Sharing and collaboration

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Teacher self-review

  • Personal reflection: Use analytics for self-assessment
  • Teaching improvement: Identify areas for professional development
  • Lesson planning: Use insights to improve future lessons
  • Goal setting: Set specific targets for classroom engagement

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Admin coaching

  • Performance review: Share data with administrators
  • Coaching conversations: Use analytics to guide coaching discussions
  • Professional development: Identify training needs and opportunities
  • Recognition: Highlight effective teaching practices

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Counselor evidence

  • Student support: Provide data to support student interventions
  • Behavioral insights: Share participation patterns with counselors
  • Academic support: Identify students who may need additional help
  • Progress tracking: Monitor student engagement over time

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Privacy and data protection

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Data handling in analytics

Privacy first: All analytics maintain the same privacy protections as live monitoring.

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What data is included

  • Participation patterns: How often and when students participate
  • Response timing: When students respond to questions
  • Engagement levels: Overall participation and attention metrics
  • No personal information: No names, faces, or identifying details

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Data protection measures

  • Encryption: All analytics data encrypted in transit and at rest
  • Access controls: Only authorized teachers can access analytics
  • Retention policies: Data kept only as long as needed
  • School ownership: All data belongs to your school

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Compliance and reporting

  • No personally identifiable information in analytics
  • Data aggregated to protect individual privacy
  • School controls data access and sharing
  • Students cannot be individually identified
  • Only necessary data collected and analyzed
  • Analytics focus on teaching improvement, not student evaluation
  • Data used only for educational purposes
  • Regular data purging according to retention policies
  • Clear documentation of what data is collected
  • Easy-to-understand privacy policies
  • Regular privacy reviews and updates
  • Open communication about data use

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Using analytics effectively

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Best practices for data analysis

1

Regular review

Check analytics after each class to identify immediate insights and patterns.
2

Pattern identification

Look for recurring patterns across multiple classes to identify trends.
3

Action planning

Use insights to plan specific improvements for future classes.
4

Progress tracking

Monitor changes over time to measure improvement in teaching effectiveness.

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Common insights and actions

What to look for:
  • Peak participation times
  • Most effective questions
  • Successful activities
Actions to take:
  • Replicate successful strategies
  • Build on what works
  • Share effective techniques with colleagues

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Troubleshooting analytics

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Common issues and solutions

Possible causes:
  • Session not properly ended
  • Data processing still in progress
  • Privacy settings preventing access
Solutions:
  • Ensure session was properly stopped
  • Wait for data processing to complete
  • Check privacy and access settings
Possible causes:
  • Technical issues during class
  • Camera or microphone problems
  • Calibration issues
Solutions:
  • Check technical logs for errors
  • Verify hardware was working properly
  • Recalibrate detection settings
Possible causes:
  • File format compatibility issues
  • Insufficient storage space
  • Permission problems
Solutions:
  • Try different export formats
  • Free up storage space
  • Check file permissions

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Next steps

Now that you understand analytics, explore more features:

Participation tracking

Learn about detailed participation monitoring and analysis.

Engagement analysis

Discover advanced engagement measurement and improvement strategies.

Privacy security

Understand how analytics protect student privacy and data.

Integrations

Connect analytics with Google Classroom, Canvas, and other tools.