Education & Personalised Tutoring

AI tutoring systems can adapt to individual students in ways that a single teacher with thirty students simply cannot. They can identify what a student knows and does not know, adjust the difficulty and pace of material, provide instant feedback, offer different explanations when the first one does not click, and give students unlimited patience and practice time. For subjects like mathematics, language learning, and science, AI tutors can be genuinely effective supplements to classroom teaching. Platforms like Khan Academy's AI tutor, Duolingo, and various adaptive learning systems are reaching millions of students. The promise is personalised education at scale - something that has been an aspiration for decades but was never practically achievable. The reality is more nuanced. AI tutors work best for well-defined subjects with clear right and wrong answers. They are less effective for developing critical thinking, creativity, collaboration, and the social and emotional skills that education is also supposed to foster. There are also real concerns about screen time, data privacy for children, and the risk of deepening educational inequality if AI tools are only available to families and schools that can afford them.