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Adaptive learning is a set of technologies and methodologies that, through data analysis (progress, responses, work time, recurring errors), adjusts the content, difficulty level, and activities offered to a student in real time. The platforms use machine learning algorithms to build personalized learning paths: the more the student interacts, the more the system "learns" to suggest targeted exercises and useful resources.