Dataset for Predicting Student Performance Using Behavioral Analytics

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Authors: Gosrani Hetal
Cited by: 0

Abstract

This dataset contains anonymized and aggregated behavioral features derived from an online programming environment.Each record represents a student and includes engineered variables related to task completion, submission behavior, and performance indicators.The dataset was used to train and evaluate machine learning models for predicting student performance in introductory programming courses.All personal identifiers were removed prior to analysis to ensure participant privacy.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 January 2026
Language
EN
Document type
Dataset