Higher Education ChatGPT Usage Dataset

Published: 5 June 2026| Version 1 | DOI: 10.17632/d6fnzyvjcc.1
Contributor:
Patricia Acosta-Vargas

Description

A dataset of higher education students' perceptions and behavioral intentions regarding ChatGPT adoption, designed to support explainable AI and technology acceptance research in education.

Files

Steps to reproduce

Download the dataset and import it into a statistical or machine learning environment such as Python, R, SPSS, or WEKA. Perform data preprocessing, including handling missing values, encoding categorical variables, and normalizing numerical features if required. Apply Explainable Artificial Intelligence (XAI) techniques, such as SHAP, LIME, or feature importance analysis, to interpret model predictions. Evaluate model performance using metrics such as accuracy, precision, recall, F1-score, and AUC. Compare the importance of factors influencing ChatGPT adoption and interpret the results in the context of higher education.

Institutions

Categories

Artificial Intelligence, Analysis of Education, ChatGPT

Licence