AI is becoming a regular part of schools, colleges, and universities. AI tutors adjust lessons based on each student’s performance, changing the speed, content, and difficulty. It sounds useful: students get personalised help, focus on weak areas, and learn at a pace that suits them.
However, there is a growing downside to this tailored approach. Over-personalisation in AI learning tools may create what researchers call “education filter bubbles.” Similar to how social media shows us content based on past likes and clicks, AI tutors may be boxing students into narrow learning paths, limiting what they are exposed to and how much they grow outside their comfort zones…
