Student Performance and Learning Behavior Dataset for Educational Analytics (Zenodo, N = 14,003)¶
Product or Programme · All products and programmes
Evidence · 3 claims (3 for) · 1 study (1 associational),q2· 1 of 1 report an effect size · 3 claims rest on one study
Description¶
A CC0 Zenodo dataset of 14,003 anonymized higher-education student records compiled from two public Kaggle datasets for behavioral profiling, educational analytics, and adaptive-learning recommendation research.
Components¶
Claims¶
- K-Means++ clustering of self-reported behavioral proxies yields six distinct, stable learner profiles (k = 6, Silhouette = 0.62) [+W]
- The six clusters differ substantially in academic performance: Final Grade ANOVA η² = 0.770, with C0 exceeding C1 by 40.17 exam-score points [+W]
- Cluster membership is significantly associated with gender, with a small-to-moderate effect (χ²(5) = 345.52, Cramér's V = 0.157) [+W]
Related Products and Programmes¶
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Key Sources¶
- Najem, K., Zaoui Seghroucheni, Y., & Ziti, S. (2026). Behavioral clustering for adaptive learning object recommendation in higher education using learning analytics for personalized student success. Discover Education. https://doi.org/10.1007/s44217-026-02181-7
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
student-performance-and-learning-behavior-dataset-for-educational-analytics-zenodo-n-14003 |
title |
Student Performance and Learning Behavior Dataset for Educational Analytics (Zenodo, N = 14,003) |
description |
A CC0 Zenodo dataset of 14,003 anonymized higher-education student records compiled from two public Kaggle datasets for behavioral profiling, educational analytics, and adaptive-learning recommendation research. |
status |
review |
product_kind |
dataset |
generated |
by process:settle-candidates on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
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