Generative AI for Synthetic Data Creation: Building Mastery-Focused Educational Datasets

Authors

Tapiwa Amion Chinodakufa, Dakota State University
Khandaker Mamun Ahmed, Dakota State UniversityFollow

Files

Description

There is no easily-available dataset for mastery-focused education, where mastery replaces grades while accurately reflecting student performance. Student data is restricted due to privacy & security concerns. One K-12 app was recently discovered selling unmasked data on millions of students Synthetic datasets may solve this by providing utility, privacy preservation, scalability, customization, variability, and resistance to reverse-engineering Techniques used included autoencoders, variational auto-encoders (VAE), generative adversarial networks (GAN) , and copulas combined with GANs.

Publication Date

2025

Comments

Presented at the 2025 SDSU Data Science Symposium.

Recommended Citation

Chinodakufa, Tapiwa Amion and Ahmed, Khandaker Mamun, "Generative AI for Synthetic Data Creation: Building Mastery-Focused Educational Datasets" (2025). External Research Posters. 16.
https://scholar.dsu.edu/erposters/16