| ▲ | eba7keb 3 hours ago | |
Hi! I'm Elizabeth (one of the co-founders of Ello). This is an interesting question. I actually think there is more overlap than people might assume, but it's a bit more because adaptability to various approaches to learning is part of the point. While I'm not deeply familiar with the Sudbury School model, I think there are various approaches to teaching kids that are successful because different approaches serve different types of kids and learners. I can see why this approach would be successful for a certain profile of student for whom it's the right fit. We start from the belief that children are naturally curious. Our job is to build something engaging enough that a child wants to interact with it because it is interesting and rewarding. If a child in a Sudbury environment never chose to use it, I would see that as useful feedback for us, not a problem with the child. There are opportunities for kids to explore and incorporate their interests within our app. I also think it is completely fine if a child uses it for a while, disappears for months, and comes back. Learning is rarely linear, and technology should be able to pick up wherever the child is. On reading, we’re firmly grounded in the science of reading, so we teach through explicit phonics rather than whole-word memorization because that is best practice. On math, we’re much more interested in helping children build intuition and conceptual understanding than simply getting answers. AI gives us the flexibility to use conversation, visual models, stories, or symbolic math, depending on what helps a particular child understand. One thing AI is uniquely good at is meeting learners where they are. A 10 year old who is learning to read should not have to work through material that feels like it was made for preschoolers. The underlying concepts can stay the same while the language, topics, and presentation become age appropriate. I don’t think there is one educational model that works for every child. What excites me is that AI makes it much more feasible to adapt to individual learners instead of expecting every learner to adapt to the same experience. | ||