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Biology+C – Genetics: Phenotypes and Genotypes

This unit focuses on genetics and how the allele frequency in a population can change over time.

Biology+C – Natural Selection and Evolution: Natural Selection in Moths

This unit reviews concepts related to natural selection and Darwin’s theory of evolution. It provides students with the opportunity to gain a deeper understanding of the process of natural selection and how it can be represented and demonstrated using computer models.

Biology+C – Homeostasis: Maintaining Glucose Levels in Blood

This unit reviews concepts related to feedback loops for maintaining homeostasis in the human
body.

Biology+C – Simple Ecosystems: Energy Flow in an Ecosystem

This unit models a simple ecosystem to provide students with the opportunity to gain a deeper understanding of the interactions of organisms in ecosystems such as the flow of energy between trophic levels.

Biology+C – Enzymes: Food Digestion

The unit provides students with the opportunity to gain a deeper understanding of process and how they can be represented and demonstrated using computer models.

Biology+C – Ecosystem Dynamics: Balancing an Ecosystem

In this unit, students will apply concepts related to ecosystems, such as interdependent relationships, to run various experiments in the NetLogo model.

Science+C Intro Unit: Epidemics

This unit introduces students to using models as scientific testbeds, the NetLogo interface, and the basics of the model code by exploring how disease spreads through a population.

Biology+C – Experimenting with Photosynthesis

Photosynthesis is a dynamic process through which plants turn carbon dioxide and water into carbohydrates such as glucose while releasing oxygen as a byproduct.

Getting Unstuck: Karen Brennan's "8 for 8"

This 8:13 minute video gives techniques for facilitating classrooms of students who are working on projects.

Code.org and SLNova Computer Science Concepts

This is a 4 week unit for a Computer Technology class in a middle school. Students are introduced to computer science concepts through lessons in Code.org's Course 3. Students then apply those concepts in SLNova projects.

Modeling MRSA in Chicago (scientist talk)

This is a talk Dr. Chick Macal gave to GUTS teachers at a Chicago PD workshop in 2015.

Computational Science video

A short video (1:27) on the computational science cycle, used in Project GUTS CS in Science (Modules 2-4).

Teaching Computer Science and Creating Independent Learners

A video (7:54) for teachers and facilitators with helpful techniques on facilitating design-and-build activities in ways then encourage students to become self-sufficient problem solvers.

Massachusetts Institute of Technology video - image of birds flocking

Complex Adaptive Systems Modeling Video

This short video (3:13 minutes) introduces complex adaptive systems and agent-based modeling concepts to middle-school students. It shows beautiful footage of birds flocking as an example of a complex adaptive system.

Interview with Hal Scheintaub

Teachers with GUTS interviewed Hal Scheintaub and demo of StarLogo Nova models created by his students on August 2, 2017.

CS in Science videos -Link to Playlists for each Module and CS resources

This link will take you to the playlist for the Project GUTS/CS in Science youtube channel, where videos for each module and for teaching and StarLogo Nova tips are organized.

Pair Programming video

This short video (2:51 minutes) features two middle school girls describing and practicing pair programming. It is a great introduction to this method of learning programming and creating models.

Trailblazers Activity for Virtual Instruction

The Trailblazers activity from Module 1 - Lesson 3 modified to be done in a synchronous virtual learning environment.

Dice and Data Activity for Virtual Instruction

Dice and Data Activity from Module 1 Lesson 4. Adapted for use in a synchronous instructional setting.

Simulación de un brote de Dengue

Este modelo simula la transmisión del virus del dengue en un barrio de cuatro manzanas durante 180 días. El vector del virus es el mosquito Aedes egyptii. La simulación muestra un gráfico con la evolución del brote (el cambio en la cantidad de personas sanas y de personas infectadas), otro gráfico con la evolución de la población de mosquitos y unos monitores que indican el estado de la población de mosquitos y cuántas personas fueron infectadas.

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