Objective

To build an intelligent dashboard that allows teachers to monitor, analyze, and visualize student behavior, engagement, and performance patterns in real-time, helping to improve teaching strategies and learning outcomes.

Key Features

 Student Panel:

• Secure registration and login

• View personal activity logs and engagement metrics

• Receive feedback on participation and learning behavior

• Track progress in courses and assignments

 Teacher Panel:

• Monitor real-time student engagement during lectures

• View participation metrics: attendance, active hours, quiz performance

• Track behavioral patterns: frequent doubts, time spent on modules, late submissions

• Generate individual and class-level insights

• Identify students needing extra support

• Receive alerts for abnormal or low engagement

 Admin Panel (Optional):

• Manage users, classes, and courses

• Configure behavior metrics and thresholds

• View overall platform engagement and trends

• Generate reports for academic reviews

Tech Stack

Workflow (Step-by-Step)

1. User Registration & Login

• Students and teachers register and log in securely

• Teachers access the dashboard; students view personal engagement data

2. Data Collection

• Track student interactions: course access, video watch time, assignment submissions, quiz attempts

• Record attendance, chat participation, and forum activity

3. Data Processing

• Aggregate raw data into meaningful metrics

• Calculate engagement scores, participation levels, and performance trends

4. Dashboard Visualization

• Teachers view visualizations: graphs, charts, heatmaps

• Insights include: top-performing students, low-engagement students, frequently asked questions

• Drill-down options for individual student behavior

5. Alerts & Recommendations

• Notify teachers of students with low engagement or poor performance

• Recommend interventions or additional learning resources

6. Reporting

• Export reports as PDFs, Excel, or dashboards for parent-teacher meetings

• Track longitudinal trends over semesters or academic years

7. Optional Advanced Features

• AI-based predictions for at-risk students

• Sentiment analysis of student interactions in discussions or chat

• Gamified feedback to motivate student engagement