Teach Teens Computing
Understanding AI for Educators
Artificial intelligence (AI) is everywhere, so young people need to understand what it is and how it might affect them. But what do you need to know to help them learn what AI systems can do and make informed decisions about how they can ethically take advantage of this technology?
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Artificial intelligence (AI) is everywhere, so young people need to understand what it is and how it might affect them. But what do you need to know to help them learn what AI systems can do and make informed decisions about how they can ethically take advantage of this technology?
Artificial intelligence (AI) is everywhere, so young people need to understand what it is and how it might affect them. But what do you need to know to help them learn what AI systems can do and make informed decisions about how they can ethically take advantage of this technology?
In this three-week course from the Raspberry Pi Foundation, you'll learn about the different types of AI tools that are available, and how they may affect the world of work and learning. You'll find out about the types of problems that AI tools can help to solve, try some out for yourself, and consider how you can discuss the risks, opportunities, and ethical considerations surrounding AI technology with young learners.
This course is part of Experience AI, a free educational programme developed in collaboration by the Raspberry Pi Foundation and Google DeepMind. Experience AI provides cutting-edge resources on AI and machine learning for teachers and their students aged 11 to 14.
What's inside
Learning objectives
- Over the next 3 weeks, you will:
- Build your knowledge about the types of ai systems, both predictive and generative.
- Evaluate the impacts of ai tools on work and education, and how you and your learners can ethically use ai tools.
- Investigate the types of problems that ai tools can help to solve and recognise their limitations.
- Consider the risks of using ai tools, and how you can help mitigate these risks for your learners.
- Prompt an ai "chatbot" and an image generator, and discover how knowing more about how these tools work can help you improve their outputs.
- Over the next 3 weeks, you will:
- Build your knowledge about the types of ai systems, both predictive and generative.
- Evaluate the impacts of ai tools on work and education, and how you and your learners can ethically use ai tools.
- Investigate the types of problems that ai tools can help to solve and recognise their limitations.
- Consider the risks of using ai tools, and how you can help mitigate these risks for your learners.
- Prompt an ai "chatbot" and an image generator, and discover how knowing more about how these tools work can help you improve their outputs.
Syllabus
The course will cover:
How artificial intelligence moved from being a sci-fi plot point to real-life systems and tools
What machine learning is, and how it enables AI systems and models
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Syllabus
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Activities
Review Machine Learning Basics
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Start the course with a thorough understanding of the fundamental principles and terminology of machine learning, which will greatly aid in your comprehension of the course materials.
Browse courses on
Machine Learning
Show steps
-
Review your notes and textbooks from previous coursework in machine learning.
-
Complete online tutorials or practice exercises to refresh your memory on key concepts.
Compile AI Resources
Show steps
Organize and expand your knowledge by gathering relevant resources on AI, enhancing your understanding of the subject matter.
Show steps
-
Search and collect articles, tutorials, and videos related to AI concepts and applications.
-
Create a digital or physical compilation of these resources for easy reference.
Practice with AI Tools
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Get hands-on experience with different types of AI tools to reinforce your learning and build confidence.
Browse courses on
AI Tools
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-
Use online platforms or libraries to experiment with image generators.
-
Engage with chatbots to test their capabilities and explore natural language processing.
Four other activities
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Attend an AI Workshop
Show steps
Deepen your understanding of specific AI topics by attending workshops led by experts in the field.
Show steps
-
Research and identify AI workshops that align with your interests.
-
Register for and participate in the workshops to gain hands-on experience and insights.
Explore AI Applications
Show steps
Gain a broader perspective on the usage of AI in various industries and domains to understand its potential impact.
Browse courses on
AI Applications
Show steps
-
Follow online tutorials or attend webinars on the applications of AI in different sectors.
-
Research and read case studies of successful AI implementations.
Discuss AI Ethics
Show steps
Engage in discussions with peers to explore the ethical implications of AI and foster responsible decision-making.
Browse courses on
AI Ethics
Show steps
-
Join online forums or discussion groups dedicated to AI ethics.
-
Organize or participate in study groups to delve deeper into the ethical considerations surrounding AI.
Develop an AI-Powered Solution
Show steps
Apply your knowledge to create a practical AI-based solution, demonstrating your understanding and problem-solving skills.
Show steps
-
Identify a problem or challenge that AI could potentially solve.
-
Design and develop an AI-powered solution to address the identified problem.
-
Test and evaluate the performance of your solution.
Review Machine Learning Basics
Show steps
Start the course with a thorough understanding of the fundamental principles and terminology of machine learning, which will greatly aid in your comprehension of the course materials.
Browse courses on
Machine Learning
Show steps
- Review your notes and textbooks from previous coursework in machine learning.
- Complete online tutorials or practice exercises to refresh your memory on key concepts.
Compile AI Resources
Show steps
Organize and expand your knowledge by gathering relevant resources on AI, enhancing your understanding of the subject matter.
Show steps
- Search and collect articles, tutorials, and videos related to AI concepts and applications.
- Create a digital or physical compilation of these resources for easy reference.
Practice with AI Tools
Show steps
Get hands-on experience with different types of AI tools to reinforce your learning and build confidence.
Browse courses on
AI Tools
Show steps
- Use online platforms or libraries to experiment with image generators.
- Engage with chatbots to test their capabilities and explore natural language processing.
Attend an AI Workshop
Show steps
Deepen your understanding of specific AI topics by attending workshops led by experts in the field.
Show steps
- Research and identify AI workshops that align with your interests.
- Register for and participate in the workshops to gain hands-on experience and insights.
Explore AI Applications
Show steps
Gain a broader perspective on the usage of AI in various industries and domains to understand its potential impact.
Browse courses on
AI Applications
Show steps
- Follow online tutorials or attend webinars on the applications of AI in different sectors.
- Research and read case studies of successful AI implementations.
Discuss AI Ethics
Show steps
Engage in discussions with peers to explore the ethical implications of AI and foster responsible decision-making.
Browse courses on
AI Ethics
Show steps
- Join online forums or discussion groups dedicated to AI ethics.
- Organize or participate in study groups to delve deeper into the ethical considerations surrounding AI.
Develop an AI-Powered Solution
Show steps
Apply your knowledge to create a practical AI-based solution, demonstrating your understanding and problem-solving skills.
Show steps
- Identify a problem or challenge that AI could potentially solve.
- Design and develop an AI-powered solution to address the identified problem.
- Test and evaluate the performance of your solution.
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