AI-driven personalized learning is transforming education by tailoring learning pathways for each student. These systems analyze data to offer customized content and support. Early results reveal better engagement and knowledge retention. A California study saw a 15% math score increase with these platforms. However, there are hurdles, including data privacy concerns and potential biases in the algorithms. Equitable access for all students and reduced screen time are crucial. Experts highlight the need for cautious planning, secure data handling, and teacher training to use AI effectively. The future of education hinges on ethically integrating AI personalization.
AI Personalization Reshapes Education; Promise & Challenges Emerge
