No need to figure out a lesson for SimCityEDU, as the game includes a series of lessons plans that help teachers guide students through each mission. For example, the Pollution Problems lesson plan requires students to "understand how dependent (air pollution and power) and independent variables (coal plants, green technologies, factories, and nonrenewable energy resources) can lead to multiple outcomes and awareness that tradeoffs are sometimes necessary when solving complex problems." Lesson plans also include warm-up and concluding exercises that help give context to the gameplay.
The game itself includes very little guidance on how to play, however, so teachers will want to orient students (and themselves) before the game playing can begin. Students can continue their missions at home, and additional research activities -- like applying clean environment principles to other contexts -- aid knowledge transfer. While there are only four missions, students can extend learning via self-reflective writing activities that analyze how they solved problems during play.Continue reading Show less
SimCityEDU: Pollution Challenge! features four missions that explore the effect of pollution, population, power, commercial and industrial centers, and other environmental issues on cities. Based on the SimCity engine, SimCityEDU has players tackle practical city planning issues like how to create more jobs without causing more pollution, or how to get every kid to school by planning the most efficient use of bus stops.
It's a decent introduction for students who love simulation and city management games, but who also have a passion for environmental issues. The game is a very abbreviated version of its past incarnation, however, with fewer missions and challenges, offering up a less complete lesson opportunity. Still, kids can practice problem-solving, systems thinking, and managing informational diagrams. They can also see how different aspects of city planning work with or against each other. Students face increasingly difficult tasks that require them to balance population, employment, industry, and power generation, and manage a town from a virtual 3/4 top-down perspective. The interface displays the overall pollution level, population happiness level, electricity coverage, and business traffic, helping kids make decisions and plan their cities.
The base version of SimCity can be intimidating to teachers, but this version only touches on certain aspects of city planning, helping to focus teachers' and students' efforts. There are few instructions, however, so students will likely get frustrated and/or confused if they aren't given a thorough explanation by teachers first. The teacher dashboard also includes a suite of tools built with the classroom in mind. Teachers will love that lesson plans are linked to Common Core standards, include assessment tools, and offer live monitoring of student progress. Mission leaderboards and rankings encourage students to constantly improve their city designs, replaying the short missions again and again. For example, students might first pass a challenge by efficiently placing bus stops so that 200 students are enrolled in school, but then work harder in subsequent plays to get 250 kids enrolled while placing fewer than seven bus stops.
Key Standards Supported
Earth and Human Activity
Apply scientific principles to design a method for monitoring and minimizing a human impact on the environment.
Ecosystems: Interactions, Energy, and Dynamics
Analyze and interpret data to provide evidence for the effects of resource availability on organisms and populations of organisms in an ecosystem.
Construct an argument supported by empirical evidence that changes to physical or biological components of an ecosystem affect populations.
Evaluate competing design solutions for maintaining biodiversity and ecosystem services.
Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles and potential impacts on people and the natural environment that may limit possible solutions.
Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success.
Design a solution to a complex real-world problem by breaking it down into smaller, more manageable problems that can be solved through engineering.
Evaluate a solution to a complex real-world problem based on prioritized criteria and trade-offs that account for a range of constraints, including cost, safety, reliability, and aesthetics, as well as possible social, cultural, and environmental impacts.
Use a computer simulation to model the impact of proposed solutions to a complex real-world problem with numerous criteria and constraints on interactions within and between systems relevant to the problem.