Kido is an AI-powered adaptive learning platform designed to support teachers and enhance student learning through personalized practice that helps learners understand their results and progress at their own pace.

The platform includes two distinct environments:

• Teacher App – Allows teachers to select class content, define the number of exercises, and set their difficulty level.
• Student App – Each student completes the exercises assigned by the teacher, which are complemented by a set of adaptive exercises tailored to the selected content and the student’s performance.

Key Element - Adaptability

Adaptability is expressed in two ways: the platform adjusts to each student’s abilities through an exercise recommendation system — suggesting easier or more complex tasks based on performance — and it adapts to their interests by transforming existing exercises into personalized problems or narratives, generated using Artificial Intelligence.

Difficulty Adaptation 🎯

To enable adaptability, a taxonomy was developed based on the 5th-grade mathematics curriculum for the MVP. The content is structured into Lessons, Learning Points, and Supplements.

Each of these elements serves as a reference for the AI to generate exercises with a predefined level of difficulty, enabling the system to assess the challenge posed by each activity assigned by the teacher.

difficulty.mp4

Criteria used for difficulty adaptation:

• Correct/incorrect responses
• Response time
• Student history