A Multidimensional Integrated Dataset of Behavioral and Performance for Academic Student (Education)
收藏DataCite Commons2026-04-28 更新2026-05-04 收录
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https://data.mendeley.com/datasets/hy72mnwt28
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资源简介：
This dataset comprises 19,222 observations synthesized through a robust Medallion Architecture in a SQL Server environment. By integrating data from three primary educational sources Student Productivity, Exam Prediction, and Student Performance it provides a multidimensional view of academic success factors.
Key Analytical Features:
Behavioral: Study hours, sleep patterns, and digital consumption (gaming/social media).
Physiological: Self-reported stress levels and focus metrics.
Academic: Historical performance (Previous_Grades) and attendance rates.
Demographics: Age-binned cohorts and gender distribution.
The dataset serves as a high-integrity foundation for supervised machine learning, offering both binary (is_passing) and multi-class (final_grade) target variables to support nuanced classification tasks.
提供机构：
Mendeley Data
创建时间：
2026-04-20
