The Future of Education is Personal
Computational Complexity 2022-12-05
With all the excitement about ChatGPT, how will machine learning disrupt education, say five to ten years down the road?
My guess: individualized tutors. Imagine a tutor working with you teaching you important concepts, walking you through examples, answering your questions, going at your own pace, like the Oxford system. The Oxford tutor system doesn't scale well, or at least it wouldn't if we have human tutors. But we can scale using machine learning and we're not far away from being able to do so. Such tutors will be infinitely patient, have full knowledge of all written material, speak in any language with any voice and personality.
You can "meet" with your tutor in many different ways, from a deep fake video chat or with augmented or virtual reality to have a tutor in the room with you, or perhaps a physical robot, neural implant or something we haven't even though of yet. In poorer countries you can get tutored with something as simple as text messages on a cell phone.
A tutor can take on any form. You could get tutored by fictional characters such as Yoda, Darth Vader or Miss Frizzle. ML can capture the personality of real people--imaging a course about Kurt Vonnegut taught by the author, government from Henry Kissinger or a course in quantum computing from your own personal Scott Aaronson. But most importantly you can have a tutor who looks and sounds like you, with your own language, gender, race and ethnicity.
Somehow we'll have to find ways to include the social aspects such as working in groups, socializing, playing sports and living together. But that one-one-one teaching experience that most of us cannot afford today will be cheaply available tomorrow.
And what will this all mean for teachers, professors and universities? A good question for future blog posts.