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Case Study

Integrating an AI-Based Learning Assistant into a Learning Platform

Key Result Highlights

  • Reduced teachers time by enabling standard interventions guided with insights and data-driven recommendations.
  • Enabled easy access for all, including learners with disabilities.
  • Real-time tracking and feedback on students’ performances.

The Client

The client is a globally renowned educational publisher.

The Challenge

They were looking for a conversational AI-based learning assistant to overcome the increasing shortage of teachers and the need for personalized learning support.

Critical Success Factors

    • Provide personalized learning experiences aligned with users’ learning styles, preferences, and performance.
    • Enhance student engagement and motivation through natural language conversations.
    • Enable data-driven interventions and recommendations to guide users.
    • Ensure accessibility for all students, including those with special needs or disabilities.

Our Approach

    • Integrated KEA Learning Assistant into our MagicBox platform.
    • Incorporated machine learning algorithms to analyze data such as student performance, learning preferences, and engagement patterns to deliver personalized learning experiences.
    • Provided accessibility features, such as text-to-speech to ensure that students with special needs or disabilities could access the content.

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