Educational Performance Insights 2025: Identifying the Strongest Drivers of Student Achievement

By abhishek.verma75000 · May 31, 2026

This comprehensive student performance analysis explores the factors that influence academic outcomes, including study habits, prior academic achievement,…

The analysis examined how family income and parental education levels relate to average final exam scores. Three data tables were generated showing the breakdown of scores across different income groups and education levels. The overall finding is clear: higher family income and higher parental education are both associated with higher average final exam scores.

There is a meaningful positive relationship between daily study hours and final exam scores. Students who study more tend to score higher, with a correlation of 0.576 — indicating a moderate positive link. Two visualizations were generated: a scatter plot showing individual student data with a trend line, and a bar chart comparing average scores across study hour ranges.

Previous GPA is a strong predictor of final exam scores. The analysis found a correlation of 0.891 between previous GPA and final exam scores — a strong positive relationship. The R² value of 0.794 means that previous GPA alone explains about 79.4% of the variation in final exam scores. A scatter plot with a trend line was generated showing this relationship across different grade categories, and a bar chart displays average previous GPA by grade category.

The analysis produced two bar charts comparing students who receive tutoring versus those who don't, covering both average final exam scores and pass rates. These visualizations clearly show how tutoring status relates to student performance outcomes.

The analysis reveals how social media usage and sleep hours relate to final exam performance. Social media hours show a weak negative correlation (r = -0.246) with exam scores, meaning students who spend more time on social media tend to score slightly lower. Sleep hours have a negligible positive correlation (r = 0.028), suggesting minimal direct impact on exam scores in this dataset. The average final exam score across students is 49.7. Three visualizations were generated — scatter plots with trendlines for each factor and a correlation heatmap — making these relationships easy to see at a glance.

Both attendance rate and assignment completion rate are weak predictors of pass/fail outcomes, with correlations of 0.130 and 0.140 respectively. While both metrics positively relate to passing, they individually explain only a small portion of whether a student passes or fails. Three visualizations and supporting data tables were generated to illustrate these relationships.

The analysis compared student academic outcomes across all combinations of study environment and internet access. A horizontal bar chart was generated showing average final exam scores for each group, color-coded by the number of students in each group to indicate statistical reliability. Two data tables were also produced with the full breakdown of average final exam score, assignment completion rate, pass rate, and student count for every combination.

A full correlation matrix was computed across all 13 numeric performance and behavioral columns, and visualized as an annotated heatmap using a Red-Blue color scale. The heatmap clearly shows which variables move together (blue) and which oppose each other (red). The top 5 strongest positive correlations are all centered on final exam score — led by previous gpa (r=0.891), followed closely by writing score (r=0.875), reading score (r=0.873), math score (r=0.864), and science score (r=0.863). On the negative side, social media hours consistently drags down performance across all subject scores and GPA, with its strongest negative link to final exam score (r=-0.246).

The analysis examined how parental education levels (High School, Some College, Bachelor's, Master's, PhD) influence student academic performance across five score categories. Three data tables were generated summarizing average scores, pass rates, and previous GPA for each parental education group, giving a comprehensive view of intergenerational academic influence.

The analysis successfully identified academic outliers based on final exam scores (mean = 49.7, std = 12.1). Students scoring above 74.0 were classified as high outliers (exceptional, 267 students), while those scoring below 25.4 were classified as low outliers (struggling, 209 students). A side-by-side bar chart was generated comparing the average behavioral profiles of these two groups against the overall student average across six key metrics: study hours, attendance rate, sleep hours, social media hours, participation score, and online courses completed.