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A Brilliant Breakthrough
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Back to the Future
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The Future for STEM Education
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How to Prepare for the Future Now
As educators we are at the start of the AI road. We are learning to delegate the teaching of data to large language models.
Digital twins technology is an example of an AI teaching tool that seems to personalise the learning experience. It can map a students’ actual learning style against an ideal model. It then creates a personalised learning program that will help the student to learn most effectively.
See Education Next.
It’s brilliant. A breakthrough.
AI will help us to create individualize teaching of data to a class of 30 students. Students will be able to learn using their bespoke programs on their devices with little support from a teacher, once the personalised program is set up.
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AI can also teach relationship between scientific facts. Hydrogen + Oxygen = Water.
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It can help us to plan. We can plan how to teach a student with learning difficulties more effectively?
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It can help us to prepare. I heard Tess Magden, captain of The Opal’s basketball team, saying that every team member has a personalised AI created training program.
AI creates opportunities to make teaching better.
Back to the future
We are already stuck to our screens. We text rather than talk to people. Kids no longer break their arms while playing, because they are inside playing computer games. Friendly bots are becoming our imaginary friends replacing the need for human interaction.
As our non-digital world narrows there will be increasing need for educators to consciously and deliberately teach people to engage with and solve problems with other people. Learning activities will become places for engaging with data to collaboratively generate constructive solutions, while developing mental health, community connections and peer relationships.
Educators will engage with warm data that captures relationships between systems and the consequences of decisions. A lot of data learning will be done by AI.
The future for STEM education
Teachers of STEM will have the greatest opportunities through adopting AI.
There is a lot of data to learn in STEM subjects. Using a program like digital twins to teach the periodic table and multiplication tables will release teachers from the tedium of rote teaching.
Learning to apply facts will become the more joyful role of the science teacher.
Learning to think about the application of facts will be the most challenging part of STEM teaching.
Making wise decisions about the application of STEM facts requires human capital.
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So many people don’t believe that climate change is real. People don’t know who to trust and they ignore the scientific evidence delivered by experts. How do we teach people who and what to trust in a world of malicious influencers?
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Tech giants want to deregulate copyright laws so that AI can use artistic works. Should we steal intellectual property and make a profit from it, just because we can?
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DNA results collected by bankrupt firm 23andMe have been sold. Regeneron Pharmaceuticals now owns the data. What should they do with it?
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What considerations were included in the architectural decision NOT include a coffee shop in the new City ECU building.
Introducing holistic thinking, wise decision making and the capacity to stand up for what is best for the greatest number of people, will become an increasing challenge for STEM teachers.
How to Prepare for the Future Now
Warm data is the best discipline I know to understand the relational processes between and among systems. Its creator, Nora Bateson is a genius. There are occasional Warm Data labs in Perth.
David Snowden is another systems person worth exploring. He created the Cynefin Framework which provides a description of peoples and cultures with their customs, habits and mutual differences.
Both Bateson and Snowden are tackling how to deliver holistic approaches to understanding. Twenty years ago, my lotto dream was to go to Wales and do Snowdon’s course. Now that I have learned about Warm Data, I like it better.
Snowdon and Bateson can be seen on webinars together. They have minds like planets. You can trust them as a good source of thinking when you start to consider teaching in the age of Artificial Intelligence.
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