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Free Demo

AI-Powered Attendance Analysis

5-10 minutes

What You'll Experience

1

View anonymised attendance data for 15 students over 6 weeks

2

Use a ready-made prompt to analyse the data with ChatGPT or Claude

3

See how AI spots patterns that would take hours to find manually

Step 1: Sample Attendance Data

This is anonymised attendance data from a fictional Year 8 class. Each fraction shows days attended out of 5 school days per week.

StudentWeek 1Week 2Week 3Week 4Week 5Week 6
Amara Johnson5/55/55/55/55/55/5
Ben Taylor4/54/53/54/53/53/5
Chloe Williams5/55/54/54/53/53/5
Daniel Brown5/55/55/55/55/55/5
Emma Davies4/55/55/54/55/55/5
Fatima Ahmed5/54/55/54/55/54/5
George Wilson5/55/55/55/55/55/5
Hannah Moore3/54/53/53/52/52/5
Ibrahim Khan4/54/54/54/54/54/5
Jessica Thomas5/55/55/55/55/55/5
Kai Roberts4/53/54/53/54/53/5
Lily Evans5/55/55/55/55/55/5
Mohammed Ali5/54/54/53/53/52/5
Niamh O'Brien5/55/55/55/55/55/5
Oliver Smith4/54/54/54/54/54/5

Step 2: Your Analysis Prompt

Copy this prompt, then paste your data where indicated.

I'm going to share anonymised school attendance data. Please analyse it and identify: 1. Any students showing concerning attendance patterns 2. Day-of-week patterns (are certain days problematic?) 3. Students whose attendance is declining over time 4. Any other patterns worth investigating Here's the data: [PASTE DATA HERE] Please present your findings in a clear summary with specific student names and percentages.

Step 3: Try It Now

Open your preferred AI tool in a new tab

Paste the prompt first, then paste the data where indicated

Send the message and review the AI's analysis

Ready to Master Data Analysis?

This demo showed just one technique. The full Data Detective course includes:

  • 12 hands-on sessions with real analysis techniques
  • Attendance, assessment, and wellbeing data analysis
  • Privacy-first practices for GDPR compliance
  • Ready-to-use prompt templates for every scenario
Get the Full Course