AI Bloom

Demand Side Education

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Friends,

Many students in the northern hemisphere have or are starting to return to school. In the industry, we call it BTS. It's not quite the Korean boyband but with the same amount of fanfare. We all deserve an education, wherever we are and while policymakers dither about whether we can or can’t use AI within education, the real question should be about how AI within education can change the world.

Bloom's 2 sigma problem theory is a theory in education that states that the average student tutored one-on-one using mastery learning techniques will perform two standard deviations better than students educated in a classroom environment.

Benjamin Bloom, an educational psychologist, first proposed the theory in 1984. He found that students who received one-on-one tutoring were able to learn the material more quickly and thoroughly than students who were taught in a traditional classroom setting. He also found that the benefits of one-on-one tutoring were even greater for students who were struggling academically.

We can now teach children in a bespoke, empathetic and tailored way using AI. This is how humanity is going to be elevated over the coming decades. Technology will adapt to each child in a way that we have only been able to experiment with before. We will be able to A/B test what works with children - and might even “solve” learning difficulties, such as dyscalculia with approaches that weren’t possible.

Educators will hate me when I say that we need to think about parts of learning as information processing. I still see the teacher as important. Humans process differently - and so we process differently. Technology allows us to trial different approaches at scale. It won’t matter whether you’re enthused by a specific type of teacher, whether you learn visually, or if you learn better while walking. It’s all about to be fully available. The only issue we will face is getting this to as many people as possible - as quickly as possible.

Artificial intelligence (AI) in education can solve Bloom's 2 sigma problem in a number of ways.

• Personalized learning: AI can be used to create customised learning experiences for each student. This means that the material is presented in a way that is tailored to the student's individual needs and learning style. This can help students learn more effectively and efficiently.

• Real-time feedback: AI can be used to provide students with real-time feedback on their work. This can help students identify and correct their mistakes early on, which can help them improve their learning outcomes.

• Adaptive learning: AI can be used to create adaptive learning experiences that adjust to the student's progress. This means that the material becomes more challenging as the student masters it, which can help students stay engaged and motivated.

• Virtual tutoring: AI can be used to create virtual tutors that can provide students with one-on-one instruction. This can be a cost-effective way to provide students with the individual attention they need.

• Gamification: AI can be used to gamify learning experiences, which can make learning more fun and engaging for students. This can help students stay motivated and interested in learning.

These are not new concepts. AI is taking them and supercharging them for a whole generation and beyond. The Matrix might just be realised. I jest….a bit.

Humans are about to take a massive step up. But before that, there will be lots of testing and experimentation. And what will change after that?

I’ve been talking recently with my daughter about careers, what she wants to do and where she wants to be - it’s a somewhat logical tree-driven decision-making process, where her A-levels (exams taken here in the UK at 18) have defined the limits of career, what she might read at university - and thus the careers that might be picked for her. There’s likely a probability diagram that someone should put together based on grades and choices and lifetime revenue and happiness somewhere. But I think that’s about to be ripped apart.

If we take the concept of “supercharged AI Bloom education”, we start to shift how we look at the world. The timeline for learning might be significantly reduced and so we will start to shift to a world where we learn where there is the biggest demand. What is the biggest problem that the world needs to solve? What is the career most in need? You will then look to tailor your education to that need. In basic terms, this is a flip from supply-driven to demand-driven education - you educate yourself in what is in most demand, the project that you are working on, the next career you are thinking of. The lead time to learn becomes shorter.

And that’s how we will change the world. The End.

Stay Curious - and don’t forget to be amazing,

Rahim

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See important disclosures at masterworks.com/cd

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