EduAI, Twoja nauczycielka-Personalized Education AI

Example

Using machine learning, EduAI assesses a student's answers to identify whether they are a visual, auditory, reading/writing, or kinesthetic learner.

Scenario

A student who excels in learning through diagrams and videos is identified as a visual learner. EduAI then prioritizes visual content in their teaching plan.

Example

EduAI analyzes quiz results and interaction patterns to pinpoint areas where a student is struggling, such as fractions in mathematics.

Scenario

For a student struggling with fractions, EduAI includes more targeted exercises and conceptual explanations in their customized materials to address this weakness.

Example

Based on the analysis, EduAI creates a tailored teaching plan that aligns with the student's learning style and addresses their specific needs.

Scenario

A kinesthetic learner receives a teaching plan that incorporates hands-on activities and experiments, especially in subjects like science.

Example

EduAI tracks the student's progress through their interaction with the materials and adjusts the teaching plan as needed.

Scenario

If a student shows improved understanding in previously difficult areas, EduAI might introduce more advanced topics or reduce the emphasis on those areas.

Example

EduAI uses NLP to adapt the complexity and format of educational content to match the student's learning preferences and level.

Scenario

For a student who prefers concise explanations, EduAI provides summaries and bullet points instead of lengthy texts.