AI in Education: Personalized Learning
AI in Education: Personalized Learning AI can tailor lessons to each learner. In classrooms today, students come with different backgrounds, speeds, and interests. AI-powered systems analyze how a student works, where they excel, and where they struggle. They adjust practice sets, pacing, and feedback to fit individual needs. This is the core idea of personalized learning: content and support that match the learner, not a fixed path for all. Adaptive learning paths use algorithms to select the next activity based on performance. An intelligent tutoring assistant can explain concepts in several ways, offer hints, or model a solved problem. Teachers still set goals, monitor progress, and intervene when needed. With AI, teachers gain time for higher level tasks like guiding discussion, designing project work, and noting gaps that data reveals. ...