Clustering and Exploring the Periodic Table of Elements
Students sort LEGO pieces.Copyright A photo showing students’ arms and hands as they are grouping different types of LEGO pieces.
Students explore the periodic table of elements and connect it to the concept of clustering in machine learning. Students create their own clustering system for the elements based on various criteria, such as atomic mass, reactivity, and state at room temperature. They justify their element groupings and engage in discussions to compare and contrast different clustering systems. By analyzing the patterns and trends within the periodic table, students develop a deeper understanding of the properties and organization of elements, while also gaining insight into data analysis, classification, material properties, and collaboration, all of which have connections to engineering.
The ability to organize data into meaningful groups can be an important first step in understanding a problem. This is a strategy that engineers can use when they apply design thinking to solve problems. In this activity, students explore clustering using LEGO pieces and elements from the periodic table of elements.
After this activity, students should be able to:
- Understand the concept of clustering in machine learning.
- Apply clustering techniques to group elements based on their properties.
- Create rules to explain the rationale behind their chosen element clusters.
- Recognize the organizational patterns and trends in the periodic table of elements.
- Analyze the reasons for grouping elements together in specific regions of the periodic table.