Python Code and Dataset for An Empirical Study of ChatGPT-4o Use in Engineering Education: Prompting and Performance

Repository Overview This repository contains the complete Python codebase and dataset used in the study: An Empirical Study of ChatGPT-4o Use in Engineering Education: Prompting and Performance The project investigates the relationship between AI prompting behaviors and academic performance among engineering students using ChatGPT-4o. The GitHub repository includes: Data preprocessing scripts Metric calculation modules Machine learning models and analysis pipelines Code for figure generation and statistical tests The full codebase is available at: https://github.com/lisaza88/An-Empirical-Research-Study-of-ChatGPT-4o-Use-in-Engineering-Education Dataset This Zenodo record also includes the original dataset: An Empirical Study of ChatGPT-4o Use in Engineering Education Prompting and Performance.xlsx This file contains anonymized data used in the study, including: AI interaction logs (prompts, responses, timestamps) Written student submissions Assignment grades Computed metrics (e.g., structural complexity, content richness, query efficiency) The dataset is shared in accordance with ethical and privacy standards and is intended for reproducibility and academic reuse.