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Development of an AI-Driven Educational Analytics and Reporting Platform
  1. case
  2. Development of an AI-Driven Educational Analytics and Reporting Platform

Development of an AI-Driven Educational Analytics and Reporting Platform

inveritasoft.com
Education

Identifying Challenges in Integrating and Analyzing Educational Data across Multiple Platforms

Educational institutions and providers face difficulties consolidating statistical data from various Learning Management Systems (LMS) into a single, accessible interface. They require real-time, customizable analytics and visualizations to support decision-making, but current solutions lack seamless integration, automation, and scalability, leading to inefficiencies and limited insights.

About the Client

A mid to large-sized educational institution or education technology provider aiming to enhance data analytics, reporting, and user engagement through a unified platform.

Goals for Building an Advanced, Secure Educational Analytics Platform

  • Design and implement a comprehensive web-based analytics and reporting system tailored for educational institutions.
  • Consolidate data from multiple LMS platforms into a unified, user-friendly dashboard.
  • Provide real-time monitoring, customizable reports, and visual insights to facilitate informed decision-making.
  • Enable swift generation of intuitive visualizations, graphics, and analytics through AI-assisted requests.
  • Ensure compliance with data privacy standards such as GDPR, and support secure data sharing between educational content providers and end-users.
  • Support seamless content delivery, automated notifications, and platform resilience for high availability.

Core Functional Capabilities for the Educational Analytics System

  • Unified dashboard consolidating LMS statistical data into visual formats such as charts, graphics, and analytics.
  • Integration modules for multiple LMS platforms to enable seamless data exchange.
  • Real-time data monitoring and reporting with customizable views for end-users.
  • AI-assisted request system to generate visualizations and detailed analytics on demand.
  • Automated notifications and alerts based on data triggers or user-defined criteria.
  • Secure data sharing mechanisms ensuring compliance with privacy standards like GDPR.
  • Content delivery support to facilitate automated report dissemination and platform stability.

Recommended Technology Stack for Educational Analytics Platform

.NET Core for backend development
React.js for frontend user interface
Node.js for server-side operations and API integrations
Cloud infrastructure leveraging AWS for scalability and reliability
Flutter for cross-platform mobile access

Essential External System Integrations

  • Multiple LMS platforms for data consolidation
  • Identity and access management systems for secure login
  • Notification services for automated alerts
  • Data privacy and compliance tools for GDPR adherence

Key Non-Functional System Requirements

  • Scalability to support increasing data volumes and users
  • High performance with real-time analytics capabilities
  • Robust security measures to protect sensitive educational data
  • Platform resilience with minimum downtime and fault tolerance
  • Compliance with GDPR and other relevant data privacy standards

Projected Business Impact of the Educational Analytics Platform

By implementing this platform, educational institutions are expected to significantly enhance data-driven decision-making through real-time, visual analytics. The system aims to improve operational efficiency, provide deeper insights into learner engagement and progress, and support personalized educational experiences. The platform's security and automation features will ensure compliance and reduce manual reporting efforts, leading to faster insights and better resource allocation.

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