1. What did you learn this week?

This week, we learned how to use particle models to help explain different scientific concepts like floating, sinking, density, and how substances spread out in a liquid or gas. These models are really helpful for visualizing things we can’t see with our eyes, such as how particles move and interact with each other. For example, we used these models to understand why temperate effects the speed at which particles move.

One thing I found especially interesting was learning about wood at the particle level. When you look at wood microscopically, it’s really porous. This means it has a lot of tiny holes or spaces inside. This makes the particles more spread out and less dense overall, which is why wood is able to float in water. Even though wood might feel solid and heavy in your hand, it’s less dense than water because of all those air pockets inside.

We also went more in depth about particles and atoms, which helped me better understand the building blocks of matter. This constant motion helps explain how heat transfers and why things spread out over time, like the spreading of the dye in the M&M’s. Another key idea is that atoms can bounce off each other when they collide, which plays a role in how energy is transferred and how reactions happen.

 

  1. Are you able to relate what you learned to what you already knew?

One thing I learned this week is that salt water is more dense than fresh water. This is because the salt increases the water’s density. The denser the liquid, the easier it is for heavier objects to float. This connects to what we learned last week about objects floating if they are less dense than the liquid and sinking if they are more dense. It also helped me realize this idea applies to other liquids too, not just water. I also made a connection to how people float or sink in water. I learned that muscle is denser than fat, so someone with more muscle might float differently than someone with more body fat.

  1. How can you apply what you've learned to your teaching in the future?

I can apply what I’ve learned to my future teaching because we circled back to experiments we had done during a previous lab, which helped reinforce the learning. In the M&M experiment, we ended up with an unexpected number for the yellow M&Ms. That can be a great teaching moment. Rather than just telling the students it’s inaccurate, I could have them redo the experiment focusing on the yellow ones. This gives them the chance to figure things out on their own. It also opens up a conversation about doing more trials and thinking through why the data came out the way it did.

 

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