Students learn how nanoparticles can be creatively used for medical diagnostic purposes. …
Students learn how nanoparticles can be creatively used for medical diagnostic purposes. They learn about buckminsterfullerenes, more commonly known as buckyballs, and about the potential for these complex carbon molecules to deliver drugs and other treatments into the human body. They brainstorm methods to track buckyballs in the body, then build a buckyball from pipe cleaners with a fluorescent tag to model how nanoparticles might be labeled and detected for use in a living organism. As an extension, students research and select appropriate radioisotopes for different medical applications.
To evaluate the different integumentary systems found in the animal kingdom, students …
To evaluate the different integumentary systems found in the animal kingdom, students conduct an exploratory research-based lab. During the activity, students create a model epidermis that contains phosphorescent powder and compare the results to a control model. After learning about the variations of integumentary systems—systems that comprise the skin and other appendages that act to protect animal bodies from damage—students act as engineers to mimic animal skin samples. Their goal is to create a skin sample that closely represents the animal they are mimicking while protecting the base ‘epidermis’ from UV light.
Students learn how to set up pre-programmed microcontroller units like the Arduino …
Students learn how to set up pre-programmed microcontroller units like the Arduino LilyPad and use them to enhance a product’s functionality and personality. They do this by making plush toys in monster shapes (template provided) with microcontrollers and LEDs sewn into the felt fabric with conductive thread to make circuits. At activity end, each student will have created his or her own plush toy, complete with LEDs that illuminate in a specified sequence: random twinkle, blink, heartbeat and/or breathing.
Working as if they are engineers aiming to analyze and then improve …
Working as if they are engineers aiming to analyze and then improve data collection devices for precision agriculture, students determine how accurate temperature sensors are by comparing them to each other. Teams record soil temperature data during a class period while making changes to the samples to mimic real-world crop conditions—such as the addition of water and heat and the removal of the heat. Groups analyze their collected data by finding the mean, median, mode, and standard deviation. Then, the class combines all the team data points in order to compare data collected from numerous devices and analyze the accuracy of their recording devices by finding the standard deviation of temperature readings at each minute. By averaging the standard deviations of each minute’s temperature reading, students determine the accuracy of their temperature sensors. Students present their findings and conclusions, including making recommendations for temperature sensor improvements.
Students collect a large set of data (approximately 60 sets) of individual …
Students collect a large set of data (approximately 60 sets) of individual student’s water use and learn how to use spreadsheets to graph the data and find mean, median, mode, and range. They compared their findings to the national average of water use per person per day and use it to evaluate how much water a municipality would need in the event of a recovery from a water shutdown. This analysis activity introduces students to the concept of central tendencies and how to use spreadsheets to find them.
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