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Easner education platform
Education Platform

Easner

Built an Open-Source AI-powered Course Content Delivery platform.

AI/MLOpen SourceEdTech
01

Project Overview

Easner approached Novaview with a vision to democratize education by creating an open-source platform that would leverage artificial intelligence to deliver personalized learning experiences. The goal was to build a system that could adapt to individual learning styles, pace, and preferences while making it accessible to educational institutions of all sizes.

Our team was tasked with designing and developing this innovative platform from the ground up, including the AI algorithms for content personalization, the course creation tools, and the infrastructure to support global deployment as an open-source solution.

Timeline

12 months

Team

9 specialists

Easner platform overview
02

The Challenge

Easner challenges

Creating an AI-powered open-source education platform presented several significant challenges that needed to be addressed:

1

AI Personalization

Developing algorithms that could effectively analyze learning patterns and adapt content delivery to individual needs.

2

Scalability

Building a system that could handle everything from small classrooms to large universities with thousands of concurrent users.

3

Open Source Architecture

Designing the platform to be easily deployable, customizable, and maintainable by the community.

4

Content Creation Tools

Developing intuitive tools that would allow educators to create adaptive content without requiring technical expertise.

03

Our Solution

Adaptive Learning Engine

We developed a sophisticated AI engine that analyzes learning patterns, identifies knowledge gaps, and dynamically adjusts content difficulty and presentation to optimize learning outcomes.

Content Creation Studio

We built an intuitive authoring tool that allows educators to create adaptive learning materials with branching paths, interactive elements, and assessment components without coding knowledge.

Open Source Framework

We designed a modular, well-documented architecture that enables easy deployment, customization, and community contributions, with comprehensive documentation and extension points.

04

Our Process

05

Key Features

Adaptive learning engine

Adaptive Learning Engine

Our AI-powered learning engine dynamically adjusts content difficulty, presentation, and pacing based on individual learning patterns and performance.

  • Real-time learning pattern analysis

  • Dynamic content difficulty adjustment

  • Personalized learning paths

Content Creation Studio

Our intuitive authoring tool allows educators to create adaptive learning materials without coding knowledge, including branching paths and interactive elements.

  • Drag-and-drop content creation

  • Interactive element library

  • Branching path visualization

Content creation studio

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