Next wave’s e-learning is already hear, means what?

2000 learning centers. A Billion dollar business in 5 years. Squirrel, one of the growing educational AI-enterprises in China. Why learn less with good, but slow, e-learning? You can learn more, and faster, with great e-learning. It is about what would be perfect for just you, at any given point in time, no matter time.

Like with most new digital technologies we see evolving at this moment; one might debate how fast, or slow, AI is entering into the field of education. One might also debate how well AI can be used for helping us to become good at preparing ourselves for an ever changing world, compared to helping us to learn things that are farily easy to articulate the point of knowing in advance, like basic math. All this, is also something that this article from MIT Technology Review adress. It´s worth reading.

For the same reason, this presentation given by the founder of Squirrel, Derek Li, an educational enterprise in china based on AI, is well worth 20 minutes of your time. Obviously, Squirrel is growing rapidly and most likely for a good reason. They do math.

Just “one of these AI-ventures” one might say, if one prefers that. Or; a representation of an interesting and important phenomenom worth trying to understand?

Personally I find the fact that this service constantly changes for me over time being the most interesting thing here. It simply adapts to you, depending on what you achieve during the road. You are not just given a fixed course based on a “starting test” and then you have it. It is something far more. You are given a dynamic course instead.

When great new things evolve, it often is only a matter of time before they are picked up by someone else, or if the new thing by itself decides to get known, for instance by going globally. Could therefore the really interesting question here not be about “if” this will change things in the business of education, but how fast/slow it will? And how it will continue to develop over time? And what we can learn from existing early adopter-cases where these tools already have been used?

Adding to that; should not plans we might develop for how to handle change, look a bit different depending on if we assume that there is a hard wind, a storm, or even a tornado being on its way?

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