System Modeling with SageModeler

Scientists develop, revise, and use models to predict and explain phenomena. With SageModeler students can easily construct system models and validate their models by comparing outputs from their models with data from other sources, including scientific datasets, experimental data from probes, or data generated by simulations.

Curricular materials are available below. Sign up for access to comprehensive teacher guides.

Teacher Resources

Getting Started with SageModeler
Learn how to use SageModeler as a standalone app or in introductory materials.

Deeper Dive into Static Equilibrium and Dynamic Modeling
Learn more about system diagrams, static equilibrium models, and dynamic time-based models.

Design of our Curriculum Resources
Learn about the design of our curriculum modules, based on project-based learning, anchoring phenomena, driving questions, and more.

Framework for Integrating ST and CT through Modeling
Our research is based on a framework for systems thinking and computational thinking in the context of modeling.

Teacher Tips
Find resources for supporting student discussions of models (synchronously and asynchronously), using a Driving Question Board, and more.

Model Design Guidelines
This short guide helps students reflect on their own models as well as those of their peers.

Ready to get started? Learn how to Set up a Class and Assign Materials.

Build your own model with SageModeler or try using it embedded in the curricular materials below.

Intro to Modeling

For a very quick start to SageModeler try the Getting Started tutorial. For a more comprehensive introduction to the kinds of modeling SageModeler is capable of consider assigning one of the static equilibrium modeling introductions (either the 2 or 5 day) and the introduction to dynamic modeling (if you think you will use this modeling approach). More info about the types of modeling can be found in our teacher resources above.


These are investigations that have been developed over several projects.

Under Development

These investigations are for research purposes only at this time.


The Concord Consortium CREATE for STEM

The materials were developed in partnership with the CREATE for STEM Institute at Michigan State University with funding from the National Science Foundation (Grant Nos. DRL-1417809, DRL-1417900, DRL-1842035, DRL- 1842037and DRL-2033922). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.