Students apply their knowledge of linear regression and design to solve a …
Students apply their knowledge of linear regression and design to solve a real-world challenge to create a better packing solution for shipping cell phones. They use different materials, such as cardboard, fabric, plastic, and rubber bands to create new “composite material” packaging containers. Teams each create four prototypes made of the same materials and constructed in the same way, with the only difference being their weights, so each one is fabricated with a different amount of material. They test the three heavier prototype packages by dropping them from different heights to see how well they protect a piece of glass inside (similar in size to iPhone 6). Then students use linear regression to predict from what height they can drop the fourth/final prototype of known mass without the “phone” breaking. Success is not breaking the glass but not underestimating the height by too much either, which means using math to accurately predict the optimum drop height.
Students are given the engineering challenge to design and build doghouses that …
Students are given the engineering challenge to design and build doghouses that shelter a (toy) puppy from the heat—and to create them within material, size and cost constraints. This requires them to apply what they know (or research) about light energy and how it does (or does not) travel through various materials, as well as how a material’s color affects its light absorption and reflection properties. They build their doghouse designs and test them by taking thermometer readings under hot lamps, and then think of ways to improve their designs. This is a great project for learning about light and heat: energy transfer, absorption, insulation and material properties, and easily scales up/down for size and materials.
Students experiment with various ways to naturally dye materials using sources found …
Students experiment with various ways to naturally dye materials using sources found in nature—roots, leaves, seeds, spices, etc.—as well as the method of extracting dyes. Then they analyze various materials using statistical methods and tackle an engineering design challenge—to find dyes that best suit the needs of a startup sustainable clothing company.
Students learn about STEM education through an engineering design challenge that focuses …
Students learn about STEM education through an engineering design challenge that focuses on improving building materials used in shantytowns. First, they consider the factors that lead to shantytown development. After researching the implications of living in shantytowns, students design, build and test cement-based concrete block composites made of discarded and/or recycled materials. The aim is to make a material that is resistant to degradation by chemicals or climate, can withstand natural disasters, and endure through human-made conditions (such as urban overcrowding or pollution). The composites must be made of materials that are inexpensive and readily available so that they are viable alternative in shantytown communities. Students assess the results both chemically and physically and then iterate their designs with the materials that proved to be strongest.
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