A Data Visualization project exploring the impact of AI usage (e.g. ChatGPT) on university students' grades and critical thinking.
Overview
The dashboard visualizes the "Paradox Gap": increased AI usage may correlate with higher grades but lower critical thinking and real understanding. It combines three datasets covering thousands of students worldwide.
Key insights explored
- Adoption — ChatGPT adoption rates by field of study and usage intensity
- The paradox — gap between grades and perceived critical thinking by AI usage intensity
- Dependency — how intensive users rely on AI for more tasks at once
- Grade delta — grades before and after AI adoption
- Perceptions — student emotions, satisfaction and attitudes toward AI in education
Datasets
- Global survey — real dataset (Aristovnik et al., 2024), 23,218 records across 109 countries
- Local survey — real survey on AI perception among students (n=91)
- Usage metrics — semi-synthetic dataset modelling the impact of AI on grades (n=100)
Architecture
The code is split by concern: config.py (themes and layout), data.py (ingestion, cleaning, KPIs), figures.py (Plotly charts) and app.py (Dash UI).
How to run
docker compose up --buildThen open http://localhost:8050.
Credits
Developed as a Data Visualization Lab course project, together with Hassan Faour.