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Design and Build a Scalable, Feature-Rich Data-Driven Educational Platform with AI Integration
  1. case
  2. Design and Build a Scalable, Feature-Rich Data-Driven Educational Platform with AI Integration

Design and Build a Scalable, Feature-Rich Data-Driven Educational Platform with AI Integration

djangostars.com
Education
eCommerce
Business services

Identified Challenges in Scalable and Interactive Data-Driven Education Platforms

The client currently operates an existing platform based on Jupyter Notebooks that suffers from limited scalability and tracking capabilities, restricting growth and the ability to serve large user bases. They require a transformation into a scalable, multi-tenant platform that supports interactive content creation, automated grading, multi-user management, and integration of AI tools for enhanced educational delivery.

About the Client

A large educational institution or enterprise seeking to modernize their digital learning environment, enhance content management, and deliver interactive, data-driven courses efficiently.

Goals for Developing a Next-Generation Data-Driven Educational Platform

  • Redesign the platform architecture to support high scalability and multi-tenancy, enabling deployment as a reliable SaaS solution for large educational institutions.
  • Integrate advanced content management features including interactive exercises, assignment creation, multi-modal task types, and flexible grading options.
  • Implement analytics and reporting modules to provide comprehensive insights into course, assignment, and user performance metrics.
  • Incorporate AI-based tools such as automated code testing, assignment assistance, and content generation to enhance instructor productivity and learner engagement.
  • Ensure seamless integration with third-party learning tools and data migration capabilities to facilitate easy onboarding.
  • Deliver an intuitive interface for content creators, instructors, students, and administrators that supports efficient workflows and offers automated, manual, and AI-assisted grading.

Core Functionalities and Features for the Data-Driven Education Platform

  • Multitenant architecture supporting multiple user groups and large-scale deployment
  • Content management system with an assignment editor for combining various task types, including code blocks, non-coding tasks, and multimedia elements
  • Automated and manual grading systems with support for multiple grading schemas and deadlines
  • AI integration for automating code testing, autotest generation, and content creation assistance using tools similar to ChatGPT
  • Advanced analytics dashboard to monitor performance metrics, engagement levels, and system usage
  • Data migration tools to import learning data seamlessly from existing systems
  • Single interface for instructors and administrators to manage users, courses, assignments, and performance reports
  • Compatibility with external Learning Tools Interoperability (LTI) standards and other third-party integrations

Preferred Technologies and Architectural Approaches

Python with FastAPI and Django frameworks
Cloud-based scalable infrastructure (e.g., AWS, Azure, GCP)
Containerization and orchestration (Docker, Kubernetes)
AI service integrations (e.g., ChatGPT APIs, custom ML models)

External Systems and Data Integration Requirements

  • LTI compliant learning tools and systems
  • Existing learning data migration tools
  • AI content and code testing services
  • Analytics and reporting platforms

Non-Functional Requirements for Performance, Scalability, and Security

  • Support for multi-tenant deployment capable of scaling to thousands of concurrent users
  • High availability with minimal downtime and auto-scaling capabilities
  • Robust data security and compliance with relevant standards (e.g., GDPR, FERPA)
  • Fast response times with low latency for content interaction and assessment feedback
  • User-friendly interface with accessible design standards

Expected Business and Educational Outcomes from the Platform Upgrade

The new platform aims to significantly increase scalability and user capacity, enabling the client to support larger educational initiatives and institutions. It is expected to improve instructor productivity through AI-assisted content creation and grading, enhance student engagement with interactive and personalized learning experiences, and provide comprehensive analytics to inform educational strategies. Overall, these improvements will position the client as a leading provider of innovative, data-driven, and accessible educational solutions, potentially increasing user base and institutional adoption.

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