High

Instructional modules that bring sustainability topics into classrooms in a way that emphasizes the methods and tools of mathematics and computing and illustrates their role in planning for sustainability. Through the modules, students learn foundational and emerging concepts in mathematical and computational sciences set in the context of sustainability issues involving physical, biological, environmental, and social sciences. Students develop an increasingly sophisticated understanding of the ways that these disciplines interact through inquiries driven by real problems such as combating invasive species, understanding environmental threats, managing water resources, interpreting weather data, and simply living greener.

This NGSS aligned curriculum is designed to support high school physical science students in developing an understanding of the forces and energy involved in atomic and molecular interactions. The year-long Interactions curriculum could be used in a physical science class, or tweaked to embed activities into a chemistry class. Interactions can be offered as a paper-pencil curriculum with the teacher facilitating web based simulation activities on a classroom computer, or it can be offered completely online for classrooms where students have personal (or shared) computers. Students will develop and use models of interactions at the atomic molecular scale to explain observed phenomena and develop a model of the flow of energy and cycles of matter for phenomena at macroscopic and sub-microscopic scales.

EzGCM is a climate modeling toolkit that allows students to examine climate change using the same tools and following the same scientific processes as climate scientists.

EzGCM is a climate modeling toolkit that allows students to examine climate change using the same tools and following the same scientific processes as climate scientists.

The Deep Structure Modeling (DSM) project addresses the pressing need to more effectively organize science teaching and learning around “big ideas” that run through disciplines. Big ideas are important tools for learning because they enable students to organize and link information within a consistent knowledge framework. The project includes a freely available two-week unit on teaching cellular respiration by modeling the big idea of energy.

The Deep Structure Modeling (DSM) project addresses the pressing need to more effectively organize science teaching and learning around “big ideas” that run through disciplines. Big ideas are important tools for learning because they enable students to organize and link information within a consistent knowledge framework. The project includes a freely available two-week unit on teaching cellular respiration by modeling the big idea of energy.

Energy3D is a simulation-based engineering tool for designing green buildings and power stations that harness renewable energy to achieve sustainable development. Users can quickly sketch up a realistic-looking structure or import one from an existing CAD file, superimpose it on a map image (e.g., Google Maps or lot maps), and then evaluate its energy performance for any given day and location. Based on computational physics and weather data, Energy3D can rapidly generate time graphs (resembling data loggers) and heat maps (resembling infrared cameras) for in-depth analyses. Artificial intelligence is also used to support generative design, engineering optimization, and automatic assessment. At the end of the design, Energy3D allows users to print it out, cut out the pieces, and use them to assemble a physical scale model.

Energy3D is a simulation-based engineering tool for designing green buildings and power stations that harness renewable energy to achieve sustainable development. Users can quickly sketch up a realistic-looking structure or import one from an existing CAD file, superimpose it on a map image (e.g., Google Maps or lot maps), and then evaluate its energy performance for any given day and location. Based on computational physics and weather data, Energy3D can rapidly generate time graphs (resembling data loggers) and heat maps (resembling infrared cameras) for in-depth analyses. Artificial intelligence is also used to support generative design, engineering optimization, and automatic assessment. At the end of the design, Energy3D allows users to print it out, cut out the pieces, and use them to assemble a physical scale model.

Energy3D is a simulation-based engineering tool for designing green buildings and power stations that harness renewable energy to achieve sustainable development. Users can quickly sketch up a realistic-looking structure or import one from an existing CAD file, superimpose it on a map image (e.g., Google Maps or lot maps), and then evaluate its energy performance for any given day and location. Based on computational physics and weather data, Energy3D can rapidly generate time graphs (resembling data loggers) and heat maps (resembling infrared cameras) for in-depth analyses. Artificial intelligence is also used to support generative design, engineering optimization, and automatic assessment. At the end of the design, Energy3D allows users to print it out, cut out the pieces, and use them to assemble a physical scale model.

A set of NGSS-aligned investigations for each discipline (physics, chemistry, biology) designed to introduce and scaffold engagement in science practices and build an understanding of the interplay between experimental design, data collection, analysis, and explanation. In the process of investigating their world, students generate data using traditional lab tools, sensors, and simulations, then bring their data into our Common Online Data Analysis Platform (CODAP), which was developed specifically to facilitate sensemaking with data.