Hey there! Today, we’re diving into something super cool with Chrissy and Tanner from Common Sense Education. You might even spot a special guest—Chrissy’s adorable elderly cat! But let’s get to the exciting part: Tanner is going to introduce us to a fantastic tool called “Most Likely Machine.”
The Most Likely Machine is a website designed to help us understand algorithms. Algorithms are like secret codes that decide what we see on social media and other platforms. They’re super important, but not many people know how they work. This site is perfect for learning about them in a fun way!
Imagine you’re in charge of picking class awards for your yearbook. The Most Likely Machine lets you do just that! You’ll sort through cards with different traits and rank them based on what you think is important. Then, you’ll run an algorithm to see what choices it makes. It’s a great way to see how algorithms might not always match what you expect.
As you play around with the site, you’ll notice that algorithms can sometimes make biased or inaccurate decisions. This is a fantastic opportunity to learn how algorithms work in real life, like how social media platforms decide what content to show you.
While the Most Likely Machine is a fun learning tool, it does have some downsides. It mainly focuses on the problems with algorithms and could offer a more balanced view. Also, there’s no privacy policy, which might be a concern for some users.
Despite these issues, the Most Likely Machine is engaging and connects well to real-life situations. It’s a great starting point for discussions about algorithms and their impact on our lives. Plus, it’s an excellent way to kick off lessons about technology and social media.
So, why not give the Most Likely Machine a try? You’ll get to see how algorithms work and maybe even start some interesting conversations with your friends and teachers. Don’t forget to check out more resources from Common Sense Education for even more learning fun!
Thanks for joining us, and remember to subscribe and share with your friends. Have a fantastic day, and happy Halloween if you’re celebrating soon!
Imagine you’re designing a new social media platform. Create a simple algorithm that decides what posts to show first. Think about what factors are important, like likes, comments, or recency. Share your algorithm with the class and discuss how it might affect what users see.
Use the Most Likely Machine to explore how algorithms can be biased. After using the tool, write a short reflection on a time when you noticed biased content online. Discuss with your classmates how these biases might affect people’s perceptions.
Participate in a class debate on the pros and cons of using algorithms in social media. Prepare arguments for both sides, considering how algorithms can help or hinder our online experiences. This will help you understand different perspectives on technology.
Go on a scavenger hunt to find examples of algorithms in everyday life. Look for things like recommendation systems on streaming services or search engines. Share your findings with the class and discuss how these algorithms impact your daily decisions.
Work in groups to design an algorithm that considers multiple viewpoints and minimizes bias. Present your algorithm to the class and explain how you ensured it was fair and balanced. This activity will help you think critically about creating equitable technology.
Sure! Here’s a sanitized version of the transcript:
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Hello everyone! We are back again with Chrissy and Tanner from Common Sense Education. You might see my elderly cat making a special appearance today. I did have to pay her a little extra, but it’s worth it!
So today, Tanner is going to take the lead. Remember, our videos come out every Tuesday, so you can pop in, get some great information, and then be on your way.
Today, Tanner, what are you going to tell us about?
I’ve got a tool that you might want to follow along with. It’s a site called “Most Likely Machine.” I’ll try to explain it as we go along. We gave it a four-star review on our site, but one of our scores went down to a two, and I’ll explain that later.
The premise of this site is that it helps students understand algorithms, which are important in our lives, especially on social media platforms. However, there isn’t much out there for students to learn about them, and I think this is a good example of a site that tries to do that.
The experience is designed for middle school students, where they come up with class awards for their yearbook. The program teaches that algorithms can make biased or inaccurate decisions. As students select winners for the awards, they’ll see how the algorithm might not match their expectations.
You sort through cards representing different traits and rank them based on what you think is most important. This presents great learning opportunities to discuss how algorithms work in real life, like how social media platforms categorize users.
Once you rank the cards, you run the algorithm, and it shows you the choices it makes. You can compare those to your own choices, and there’s an explanation of why the algorithm made those decisions.
One critique we have is that the site presents a somewhat one-sided view of algorithms. While it highlights their problems, it could benefit from a more balanced perspective. Additionally, there’s no privacy policy, which could be a dealbreaker for some users.
Despite these drawbacks, the learning experience is engaging and connects well to real-life behaviors. It’s a great hook for a lesson on algorithms, and I think it’s extraordinary in that regard.
This could be a great kickoff for discussions and research. We hope to see more learning products that address these topics, especially given the recent discussions around social media and mental health.
So, check out Most Likely Machine and see how algorithms work!
Thank you, Tanner! Please remember to subscribe, tell your friends, and visit Common Sense Education for more support and information. Hang in there, teachers, and happy Halloween coming up soon!
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Let me know if you need any further adjustments!
Algorithms – A set of rules or steps used to solve a problem or perform a task, especially by a computer. – Example sentence: The search engine uses complex algorithms to find the most relevant results for your query.
Machine – A device or tool that uses power to perform a specific task, often controlled by a computer. – Example sentence: The 3D printer is a fascinating machine that can create objects from digital designs.
Education – The process of receiving or giving systematic instruction, especially in a school or university setting. – Example sentence: Online platforms have transformed education by providing access to courses from around the world.
Social – Relating to activities in which people spend time talking to each other or doing enjoyable things together. – Example sentence: Social networks allow people to connect and share information with friends and family instantly.
Media – The main means of mass communication, such as television, radio, and the internet, regarded collectively. – Example sentence: Digital media has become a primary source of news and entertainment for many teenagers.
Decisions – Choices made after considering different options and their possible outcomes. – Example sentence: Using data analysis, companies can make informed decisions about their marketing strategies.
Biased – Unfairly prejudiced for or against someone or something. – Example sentence: It’s important to ensure that algorithms are not biased and treat all users fairly.
Technology – The application of scientific knowledge for practical purposes, especially in industry. – Example sentence: Advances in technology have made it possible to communicate with people across the globe in seconds.
Learning – The acquisition of knowledge or skills through study, experience, or teaching. – Example sentence: Interactive apps make learning new languages fun and engaging for students.
Privacy – The state of being free from public attention or unsanctioned intrusion. – Example sentence: Many people are concerned about their privacy when using social media platforms.