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Rethinking Education for the AI Era

Introduction
Emerilization and its impact on the economy
Rethinking education for future economic growth
Buckminster Fuller and the concept of ephemeralization
The evolution of computing power
The rise of artificial intelligence
Concrete examples of AI in action
The impact of AI on the job market
Non-routine creative knowledge work
The future of education
Problem-Based learning
Immersion in education
Simulation in education
Conclusion

Emerilization: Rethinking Education for Future Economic Growth

Emerilization is a term coined by Buckminster Fuller, a visionary and philosopher from the United States. It describes the tendency of technology to do more and more with less and less until eventually, You can do everything with nothing. This concept has had a profound impact on our economy, and if we want future economic growth, we have to rethink our approach to education.

Emerilization and its impact on the economy

The evolution of computing power has been exponential, and We Are reaching a new tipping point in the development of computing power. This will allow us to unlock a completely new set of use cases and applications. These use cases include The Simulation of the brain through neural networks, deep learning, and ultimately, artificial intelligence.

There are already concrete examples of AI in action. For example, a computer program called AlphaGo beat the Korean Go world champion in four out of five games. Even industry insiders were surprised at how quickly this happened. We are also seeing the rise of intelligent assistants, such as Siri on the iPhone, which can answer more sophisticated questions and even book flights for you.

The ultimate goal of artificial intelligence is the self-driving car. While this may still sound like something out of a science fiction movie to many of us in Europe, if you visit the Silicon Valley and sit down on a road at the Googleplex, you will see self-driving cars driving around you.

Rethinking education for future economic growth

The impact of AI on the job market is significant. We will need fewer travel agents, customer support agents, and employees working in the back office of banks or insurance companies. Routine knowledge work will be decreasing, and future economic growth will come from non-routine creative knowledge work.

To prepare for this shift, we need to focus on the ability to Apply knowledge rather than just acquiring it. Universities and education systems need to move away from the traditional mode of knowledge transfer and examine how to make learning more interactive.

Buckminster Fuller and the concept of ephemeralization

Buckminster Fuller's concept of ephemeralization is more Relevant today than ever before. The evolution of computing power is a concrete example of ephemeralization in action. We are doing more and more with less and less.

The evolution of computing power

The evolution of computing power has been exponential. We have gone from huge machines that filled rooms with limited storage and processing capacity to smartphones with dramatically more power, computing or processing power, and storage that can integrate all these other functions.

The rise of artificial intelligence is the next step in this evolution. We are seeing a new tipping point in the development of computing power that will allow us to unlock a completely new set of use cases and applications.

The rise of artificial intelligence

Artificial intelligence is already changing the world around us. We are seeing the rise of intelligent assistants, such as Siri on the iPhone, which can answer more sophisticated questions and even book flights for you. The ultimate goal of artificial intelligence is the self-driving car.

Concrete examples of AI in action

The impact of AI on the job market

Non-routine creative knowledge work

Non-routine creative knowledge work is the future of the job market. This Type of work aims to design solutions that solve problems in the world. Scientists, researchers, physicists, programmers, and engineers are already doing this type of work, and there is an unlimited number of problems in the world, so there will always be work for somebody who can solve real problems.

The future of education

To prepare for the shift towards non-routine creative knowledge work, we need to rethink our approach to education. Problem-based learning, immersion, and simulation are the future of education.

Problem-based learning

Problem-based learning means students are challenged to apply their knowledge to real-world problems. They need to rephrase, rethink, and reframe the problems to identify new solutions. This is a departure from the traditional mode of education, where exams try to force you to come up with the one right answer.

Immersion in education

Immersion in education means real-time decision-making over longer periods of time. Students need to deal with the consequences of their decisions and turn around the project if it turns out to have not been the optimal decision.

Simulation in education

Simulation in education means that all this happens in a safe environment where students are free to experiment, try out things, and fail. They have a chance to try again and fail again, and the course aims to change not just the outcomes they have achieved but also their style and ability to apply knowledge.

Conclusion

The rise of AI and the impact it will have on the job market is significant. We need to prepare for this shift by focusing on non-routine creative knowledge work. To do this, we need to rethink our approach to education and move away from the traditional mode of knowledge transfer. Problem-based learning, immersion, and simulation are the future of education.

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