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A short class with Sarah and her students. The other ways are under More.
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Today, we are focusing on how to create an AI model! Can anyone tell me what the first step is?
Is it to choose the type of data we will use?
Exactly! We need to decide between images, text, or sound. Who can give me an example of what data we might use for an image classifier?
We could use images of happy and sad faces!
Great example! Once we have our data, the next step is to collect samples for different classes. What do you think collecting samples involves?
It means taking a variety of pictures or sounds that fit into our categories.
You are on the right track! After collecting your data, we'll train the model using our chosen tools like Teachable Machine. Can anyone think of what comes next?
We need to test and refine the model to get better results!
Exactly! Finally, you'll present your findings. Remember, this process helps you understand how machines learn patterns. Great job everyone!
Now, let's dive into the second project where we solve a problem related to the Sustainable Development Goals. Does anyone know what SDGs are?
They are goals set to tackle global challenges like poverty and climate change.
Exactly! So, we want to think about local problems we can solve. What might be some areas we could focus on?
Pollution, like air or water pollution!
Energy conservation is another big issue.
Great suggestions! After choosing a problem, we will create a 4Ws Problem Canvas. Can anyone remind us what the 4Ws stand for?
Who, What, Where, and Why!
Perfect! Once we complete the canvas, we will identify features that contribute to the problem and use data collection for our AI-enabled solutions. Exciting prospects!
Now that we have defined our problem, let's discuss data collection and visualization. Why is data important?
Data helps us understand the problem better!
Right! We can use spreadsheets to record our collected data. What types of visuals can help us present data effectively?
Bar charts and pie charts are great for showing comparisons!
And line graphs can show changes over time.
Excellent observations! Finding patterns in your data will be crucial for our AI solution. Can anyone suggest a potential AI-enabled solution based on our data?
Maybe we could create an app that sends pollution alerts based on air quality data!
Fantastic idea! Collecting and visualizing data can lead to powerful solutions that make a difference.
A trained system that learns from data to perform specific tasks.
Global targets aimed at creating a better world.
A structured approach to deeply analyze problems.
The process of representing data visually to extract insights.
Data and AI, create and try, solve the world's problems, reach for the sky!
Imagine a world where pollution is controlled, thanks to an app created by students who learned AI. They used their knowledge to analyze data and develop a smart solution.
Remember the 4Ws: 'Who, What, Where, Why' helps us to analyze problems clearly.
For AI model steps, remember 'C-T-T-P' for Collecting data, Training, Testing, Presenting.
Term
What is an AI model?
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Term
What are Sustainable Development Goals (SDGs)?
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A system designed to perform tasks autonomously by learning from data.
A set of 17 global goals aimed at addressing challenges to achieve a better and more sustainable future.
A framework used to analyze an issue by asking Who, What, Where, and Why.
The graphical representation of data to understand trends, patterns, and insights.
This section outlines the steps for students to perform AI-related projects focused on real-world applications and sustainable development.
The section details the steps students should take to complete projects involving AI models and solutions for problems related to Sustainable Development Goals. Students will be guided through selecting data types, training models, and understanding problem-solving frameworks.
This section provides a systematic approach for students to engage in projects that integrate Artificial Intelligence (AI) with real-world applications, emphasizing collaboration and critical thinking. The two primary projects involve building an AI model and addressing issues aligned with the Sustainable Development Goals (SDGs).
Create an AI Model: Students will select data types (images, text, or sound), gather samples, train the model using user-friendly tools like Teachable Machine or Machine Learning for Kids, refine their results, and present their findings.
Solve a Problem Related to SDGs: Students will identify a local problem (e.g., pollution, water wastage), employ the 4Ws Problem Canvas to analyze the issue, collect data, visualize results, and create an AI-enabled solution, like an app for pollution alerts.
Understanding AI through practical activities enhances data literacy, promotes teamwork, fosters innovative solutions, and creates awareness about global challenges. The focus is on merging technology with a purposeful approach to education.