Machine learning is no longer just a buzzword in academic papers – it is fundamentally changing the way education works at every level. Personalised Learning Paths ML algorithms analyse how individual students learn, identifying their strengths and weaknesses. Platforms can then adapt the curriculum in real time, giving more practice where needed and moving faster through mastered concepts. Intelligent Tutoring Systems AI-powered tutors can provide instant feedback 24/7, answer questions, and guide students through problem-solving processes. They learn from millions of student interactions to improve their teaching strategies continuously. Automated Assessment Natural Language Processing (NLP) enables automatic grading of written assignments, freeing teachers to focus on more meaningful interactions with students. Early Intervention By analysing engagement metrics, submission patterns, and assessment scores, ML systems can identify at-risk students early – before they fall behind – and trigger intervention by human educators. The Future We are moving toward truly adaptive learning experiences where every student gets a personalised curriculum. The role of human educators evolves to focus on mentorship, critical thinking, and socio-emotional development.