This engineering design challenge is a great hands-on activity that utilizes the engineering design process, 3D modeling, and 3D printing technology. The challenge can be completed individually or in groups of 2 to 3. Students will work to complete the following challenge: Using the design process, design, document, model, and produce a toy car with interchangeable parts.

This engineering design challenge is a great hands-on activity that utilizes the engineering design process, 3D modeling, and 3D printing technology. The challenge can be completed individually or in groups of 2 to 3. Students will work to complete the following challenge: Using the design process, design, document, model, and produce a toy car with interchangeable parts.

In this curriculum module, students in high school life science, marine science, and/or chemistry courses act as interdisciplinary scientists and delegates to investigate how the changing carbon cycle will affect the oceans along with their integral populations.

The oceans cover 70 percent of the planet and play a critical role in regulating atmospheric carbon dioxide through the interaction of physical, chemical, and biological processes. As a result of anthropogenic activity, a doubling of the atmospheric CO2 concentration (to 760 ppm) is expected to occur by the end of this century. A quarter of the total CO2 emitted has already been absorbed by the surface oceans, changing the marine carbonate system, resulting in a decrease in pH, a change in carbonate-ion concentrations, and a change in the speciation of macro and micronutrients. The shift in the carbonate system is already drastically affecting biological processes in the oceans and is predicted to have major consequences on carbon export to the deep ocean with reverberating effects on atmospheric CO2. Put in simple terms, ocean acidification is a complex phenomenon with complex consequences. Understanding complexity and the impact of ocean acidification requires systems thinking – both in research and in education. Scientific advancement will help us better understand the problem and devise more effective solutions, but executing these solutions will require widespread public participation to mitigate this global problem.

Through these lessons, students closely model what is occurring in laboratories worldwide and at Institute for Systems Biology (ISB) through Monica Orellana’s research to analyze the effect CO2 has on ocean chemistry, ecosystems and human societies. Students experiment, analyze public data, and prepare for a mock summit to address concerns. Student groups represent key “interest groups” and design two experiments to observe the effects of CO2 on seawater pH, diatom growth, algal blooms, nutrient availability, and/or shell dissolution.

Organic Chemistry research involves the synthesis of organic molecules and the study of their reaction paths, interactions, and applications. Advanced interests include diverse topics such as the development of new synthetic methods for the assembly of complex organic molecules and polymeric materials, organometallic catalysis, organocatalysis, the synthesis of natural and non-natural products with unique biological and physical properties, structure and mechanistic analysis, natural product biosynthesis, theoretical chemistry and molecular modeling, diversity-oriented synthesis, and carbohydrate synthesis.

THE PATTERNS APPROACH
The Patterns Approach to science instruction emphasizes the use of mathematical and phenomenological patterns to predict the future and understand the past. Students construct science knowledge by making an initial “wild-guess”, asking questions, planning and conducting experiments, collecting data, finding a mathematical model that fits their data, explaining the phenomenon based on that model, then finally making a data-informed prediction. Harnessing their own experiences, students compare and contrast low-evidence predictions (wild guesses) to their data-informed prediction to live the experience and learn the value of evidence-based reasoning. Additionally, students engage in several engineering projects in each course, where they must use the Patterns they discover in their designs to optimize their solutions. The Patterns Approach utilizes technology, student-constructed knowledge, frequent opportunities for student talk, and language supports to ensure the engagement and success of every student. By emphasizing, rather than removing, the mathematical connections to science, the Patterns Approach supports student conceptual understanding by connecting real-world inquiry experiences, graphical representations, and mathematical representations of science phenomena.

Using Avida-ED freeware, students control a few factors in an environment populated with digital organisms, and then compare how changing these factors affects population growth. They experiment by altering the environment size (similar to what is called carrying capacity, the maximum population size that an environment can normally sustain), the initial organism gestation rate, and the availability of resources. How systems function often depends on many different factors. By altering these factors one at a time, and observing the results, students are able to clearly see the effect of each one.

In this culminating activity of the unit, students bring together everything they've learned in order to write the code to solve the Grand Challenge. The code solution takes two images captured by robots and combines them to create an image that can be focused at different distances, similar to the way that humans can focus either near or far. They write in a derivative of C++ called QT; all code is listed in this activity.

This unit is designed for advanced programming classes. It leads students through a study of human vision and computer programming simulation. Students apply their previous knowledge of arrays and looping structures to implement a new concept of linked lists and RGB decomposition in order to solve the unit's Grand Challenge: writing a program to simulate peripheral vision by merging two images. This unit connects computer science to engineering by incorporating several science topics (eye anatomy, physics of light and color, mathematics, and science of computers) and guides students through the design process in order to create final simulations.

Students modify a provided App Inventor code to design their own diseases. This serves as the evolution step in the software/systems design process. The activity is essentially a mini design cycle in which students are challenged to design a solution to the modification, implement and test it using different population patterns The result of this process is an evolution of the original app.

Students observe natural selection in action and investigate the underlying mechanism, including random mutation and differential fitness based on environmental characteristics. They do this through use of the free AVIDA-ED digital evolution software application.

The “Systems Are Everywhere” module was originally written for high school science teachers or counselors to use in any setting (in class or in extracurricular programs). However, during field-testing, we found that many elementary and middle school teachers were able to use these lessons successfully with their students. The module is made up of three lessons that serve to foster students’ understanding of systems, systems models, and systems thinking at every level of learning and across many content areas. Blended throughout the lessons are career connections that will introduce students to diverse systems thinkers in STEM, and provide context for how systems approaches are used in real life to address complex problems. The lessons and module can be used as a stand-alone set of activities or can be integrated into any course as an extension or enrichment.

The module begins with students modeling a complex system. Students will brainstorm and sketch the parts and connections of the system, then use an online tool (Loopy) to model the interactions of those parts and connections. Next, students will develop their understanding of systems thinking skills and their application for addressing problems and solutions. Then, students will apply their knowledge and skills to model a system of their choosing. Lastly, they will showcase their skills by creating a student profile and integrating their systems thinking skills into a resume.

Target Audience
This is our introductory module that we recommend teaching before each of our other modules to give students a background in systems and to help them understand the many careers available in STEM. This module can be applied easily to any content area and works best as written for students between 6th and 12th grades but can be adapted for other ages. It works very well when teaching virtually and in-person. If you are looking for an introduction to systems that can be delivered in-person with more kinesthetic activities, please see our Introduction to Systems module. The Intro to Systems module works best with 8-12 grade students, though can be used with some modifications for 6-7th graders. This Systems are Everywhere module can work well for elementary through secondary grades.

As a part of the research and revise step of the Legacy Cycle, this lesson provides students with information they will need later on to be able to average pixels to simulate blurring in the peripheral plane of vision. Students learn why image color becomes important as we distort the outer boundaries of an image and have to interpolate pixels to fill in gaps created from our algorithm. Students learn what a digital image is, what pixels are, and how to convert between RGB and hexadecimal values.