Advanced Learning Analytics Dashboard

Deep insights into your medical examination performance, learning patterns, and predictive academic forecasting

847
Data Points Analyzed
94.2%
Prediction Accuracy
15
Learning Patterns Identified
8.4
Projected Final CGPA

Advanced Analytics Filters

Performance Metrics

Score analysis & trends

Learning Patterns

Study behavior insights

Predictive Analytics

Future performance forecasting

Competency Mapping

Medical skills assessment

Average Score Trend

Last 6 months performance

84.7%
+12.3% from last semester

Question Accuracy Rate

Correct answers per attempt

78.9%
+5.4% improvement

Time Efficiency

Average time per question

2.4 min
-0.3 min faster than average

Consistency Index

Performance stability measure

89.2%
Highly consistent performer

Question Difficulty Performance Analysis

92%
Easy Questions
245 questions
81%
Medium Questions
189 questions
68%
Hard Questions
127 questions
AI Insight: Your performance on hard questions has improved by 15% over the last month. Continue practicing complex clinical scenarios to maintain this trend.

Study Session Effectiveness

Morning
85%
Afternoon
72%
Evening
68%
Night
45%

Optimal study time: 9:00 AM - 11:00 AM

Weekly Performance Pattern

Mon
78%
Tue
82%
Wed
88%
Thu
85%
Fri
79%
Sat
65%
Sun
58%

Peak performance: Wednesday

Personalized Learning Style Analysis

Based on your examination behavior and performance patterns, we've identified your preferred learning approaches:

42%

Visual Learning

High performance on image-based questions and diagram interpretation

28%

Analytical Learning

Strong in systematic problem-solving and logical reasoning

20%

Kinesthetic Learning

Better performance after hands-on practical sessions

10%

Auditory Learning

Moderate preference for lecture-based content

Study Behavior Radar Analysis

Focus (87%) Speed (92%) Accuracy (85%) Retention (74%) Consistency (69%) Confidence (71%)
Strength Areas: Exceptional focus and speed. You process information quickly and maintain concentration well during exams.

AI-Powered Predictive Insights

Advanced machine learning models analyze your performance patterns to predict future academic outcomes:

89% Probability

Final Semester Grade

Based on current trends, you're likely to achieve an A- grade (8.2-8.6 CGPA) this semester.

High Confidence
76% Probability

Dean's List Qualification

Your performance trajectory suggests qualification for academic honors if you maintain current momentum.

Medium Confidence
94% Probability

Risk Assessment

Pharmacology shows declining performance. Immediate intervention recommended to prevent grade drop.

Action Required
82% Probability

Performance Forecast

Next exam score prediction: 85-91% range based on recent study patterns and topic coverage.

Trending Up

Peer Performance Comparison

Your performance relative to your medical cohort (MBBS 2nd Year - 156 students):

Overall Class Percentile: 87th

Bottom 25% Average (50%) Top 25% Top 10% Top 5%
13/156
Current Rank
+8
Rank Improvement
6.2%
Above Average

Medical Competency Assessment

Performance analysis based on NMC competency framework:

Clinical Reasoning
Diagnostic thinking
Advanced 89%
Knowledge Application
Theory to practice
Proficient 82%
Problem Solving
Complex scenarios
Developing 74%
Communication
Patient interaction
Needs Work 68%

Subject-Specific Mastery

Detailed competency breakdown by medical subjects:

Pathology
Disease mechanisms
Expert 93%
Microbiology
Infectious diseases
Proficient 85%
Pharmacology
Drug mechanisms
Developing 76%
Forensic Medicine
Legal aspects
Needs Work 71%

AI-Generated Study Recommendations

Personalized learning pathway based on comprehensive performance analysis:

Critical

Pharmacology Intervention

Performance declining for 3 consecutive weeks. Immediate focus on CNS and cardiovascular drug mechanisms required.

High

Communication Skills

Below-average performance in patient communication scenarios. Practice clinical communication modules.

Medium

Problem-Solving Enhancement

Strengthen analytical thinking with complex case study practice. Focus on multi-step diagnostic reasoning.

Low

Time Management

Optimize exam timing with speed practice sessions. Current pace is adequate but can be improved.