AI Impact on Students
Large-scale data analysis examining the relationship between Generative AI usage and academic performance. Processed and analyzed over 50,000 student records to uncover patterns and insights about how AI tools affect learning outcomes.
1. Overview
A Generative AI data analysis project examining the impact of AI tools on academic performance through large-scale student data analysis.
2. Problem Statement
As Generative AI becomes ubiquitous in education, it is critical to understand how the integration of these tools affects student learning outcomes and overall academic performance.
3. Dataset
A dataset containing over 50,000 student records with metrics on GenAI usage frequency, study habits, and academic outcomes.
4. Methodology & Data Preprocessing
Processed and analyzed massive datasets using Python to correlate AI tool usage with grade variations and learning patterns.
5. Analysis & Model
Conducted AI education data analysis to identify significant patterns in AI adoption across different academic disciplines.
6. Results & Key Findings
Uncovered key insights into how different frequencies and types of Generative AI usage correlate with academic performance shifts.