Cognitive Skills & Student Performance Dashboard

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(First 5 rows)

CSV Format: student_id, name, class, comprehension, attention, focus, retention, assessment_score, engagement_time

🤖 Machine Learning Tools

🧠 ML Score Predictor

Input Cognitive Skills

Comprehension (0-1 scale)

00.501

Attention (0-1 scale)

00.501

Focus (0-1 scale)

00.501

Retention (0-1 scale)

00.501

Engagement time (minutes/week)

20 min200420 min

Prediction Result

🎯

Enter cognitive skills and click "Predict Score" to see the ML prediction

ML Model: Linear regression trained on 300 students. Weights: Comprehension (30%), Attention (25%), Focus (25%), Retention (20%), Engagement (15%)

Model Performance

🤖 Model Performance Comparison

linear

Best

R² Score0.915

RMSE6.03

Excellent fit

random forest

R² Score0.903

RMSE6.43

Excellent fit

Model Insights

• R² Score: Proportion of variance explained (0-1, higher is better)
• RMSE: Root Mean Square Error (lower is better)
• Best Model: linear with R² = 0.915
• Prediction Accuracy: High

Learning Personas

👥 Learning Personas Analysis

High Performers

Students70 (23%)

Avg Score65

Avg Engagement216m

Engaged Learners

Students75 (25%)

Avg Score30

Avg Engagement129m

Struggling Students

Students80 (27%)

Avg Score46

Avg Engagement175m

Average Achievers

Students75 (25%)

Avg Score81

Avg Engagement259m

Persona Characteristics

High Performers

Comprehension: 68.4%

Attention: 67.6%

Focus: 67.3%

Retention: 68.8%

Engagement: 230 min/week

Engaged Learners

Comprehension: 28.7%

Attention: 28.5%

Focus: 29.6%

Retention: 31.8%

Engagement: 86 min/week

Struggling Students

Comprehension: 49.5%

Attention: 48.8%

Focus: 48.7%

Retention: 48.0%

Engagement: 162 min/week

Average Achievers

Comprehension: 83.8%

Attention: 84.5%

Focus: 86.4%

Retention: 86.0%

Engagement: 303 min/week

Recommendations

High Performers: Challenge with advanced materials and peer mentoring opportunities.

Engaged Learners: Provide collaborative projects and interactive learning experiences.

Struggling Students: Offer additional support, tutoring, and simplified learning paths.

Average Achievers: Focus on skill-building and gradual difficulty increases.

Advanced Analytics

📊 Advanced Analytics Dashboard

Performance Distribution

Class Performance Comparison

Skill Correlation Trends

300

Total Students

Average Score

194

Avg Engagement (min)

Overview Statistics

Students

300

Avg Score

Avg Engagement (min/wk)

194

Avg Comprehension

0.57

Avg Attention

0.57

Avg Focus

0.58

Avg Retention

0.58

Filter Data

Class

Persona

Data Visualizations

Avg Skill Levels

Attention vs Assessment

Student Radar (Sample)

Student Data Table

Rows:

ID	Name	Class	Score	Engagement (min/wk)	Comprehension	Attention	Focus	Retention
S0001	Alexander Brown	A	74	209	0.758	0.811	0.888	0.845
S0002	Emma Smith	A	36	130	0.345	0.363	0.41	0.488
S0003	Elijah Rodriguez	A	75	245	0.814	0.857	0.757	0.831
S0004	Logan Brown	C	72	284	0.72	0.726	0.82	0.725
S0005	Evelyn Martinez	C	64	227	0.626	0.604	0.644	0.707
S0006	Olivia Gonzalez	C	42	178	0.564	0.489	0.449	0.646
S0007	Noah Martin	B	59	197	0.604	0.712	0.572	0.804
S0008	Lucas Clark	A	37	197	0.44	0.389	0.364	0.433
S0009	Lucas Miller	D	47	161	0.573	0.44	0.49	0.564
S0010	Elijah Wilson	D	41	182	0.515	0.471	0.304	0.478

Analysis Insights

Insights

Attention shows a positive relationship with assessment scores (see scatter).
Best predictive model: linear (R² 0.91, RMSE 6.0).
Identified 4 personas. Largest cluster size: 80.