👉 This project explores the development of an AI-driven platform designed to enhance personalized learning experiences in K-12 education by integrating adaptive content delivery and real-time student engagement analytics. Researchers investigate how machine learning models can analyze individual learning patterns, identify knowledge gaps, and dynamically adjust instructional materials to match each student’s pace and style—from interactive multimedia resources to targeted practice exercises. The study also evaluates the platform’s impact on academic performance and engagement metrics, while addressing challenges like data privacy, algorithmic bias, and seamless integration with existing educational tools. By combining pedagogical insights with AI innovation, the project aims to create a scalable solution that empowers educators to deliver more effective, student-centered instruction.
