Machine learning in education

Machine learning in education involves using computer systems that can analyze large amounts of data to improve learning experiences. These systems identify patterns in student performance, adapt teaching strategies, and recommend personalized resources or activities. For example, adaptive learning platforms adjust difficulty based on a student’s progress, helping them learn more effectively. It enhances educational outcomes by providing tailored support, analyzing trends, and making data-driven decisions, all while learning from ongoing interactions. This technology supports educators and students alike, making education more responsive, customized, and efficient.