AI-Powered Analysis of A-Level Music Tech Results with Claude Code 🎶

In this video, I walk through how I used Claude Code to analyse my students’ A-Level Music Technology results across multiple years — including grade boundaries and exam results.

I started with raw PDF grade boundaries and CSV files from Edexcel, and asked Claude to:

- Convert PDFs into clean, accurate CSV files (grade boundaries, components)
- Reformat Edexcel’s student marksheets to match my preferred layout
- Separate coursework and exam analysis into clear, structured files
- Generate topic- and component-level breakdowns

What I got from this approach: what used to take me hours of copying, pasting, and formatting is now completed in under a minute with Claude Code.

Whether you’re a teacher, head of department, or just data-curious, this is a practical example of how AI can streamline your results analysis, reduce admin load, and give you cleaner insights for planning and reporting.

Tools used: Claude Code, Edexcel results files, CSV/Spreadsheet formats

0:00 Introduction
0:33 How I used Claude Code
1:23 2025 Grade Boundries
3:01 Data from Results
4:32 Creating Enhanced Data Files