A Fully Synthetic Textual Dataset of Student Learning Habits and Preferences Generated Using a Large Language Model

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Authors: Mehedi Hasan
Cited by: 0

Abstract

This repository contains a fully synthetic textual dataset generated using a large language model (GPT-4 family). The dataset simulates fictional student learning habits, preferences, challenges, and opinions related to online education. No real individuals, surveys, or proprietary data sources were used in the creation of this dataset. The dataset is intended for research benchmarking, natural language processing (NLP), educational data mining, survey analysis, and machine learning experimentation.

Publication details

Journal / source
Mendeley Data
Publication date
8 January 2026
Document type
Dataset