- Introduction to Systems
- Systems Are Everywhere
- Ecological Networks
- Environmental Influence on Gene Networks
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Invisible Forest
Unit Plan Lesson 0.5 – It’s Only a Drop of Water (Project Based Learning Plan) Lesson 1 – A Breath of Oxygen Lesson 2 – Who’s who in the photosynthetic world from macro to microscale Lesson 3 – Tools of the Trade Exploratorium: Collecting Oceanographic Data From Where We Cannot See Lesson 3.5 Phytoplankton, Spectrophotometry & Microscopy Labs Lesson 4 – Scaling up: Linking cells in a drop of seawater to global patterns Lesson 5 – Dive into Data: Raw to Results Contributors
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Modeling Sustainable Food Systems
Food Security Module Overview Lesson FS1: Introduction to Food Security Lesson FS2: Critically Evaluating Food Production Techniques Application: Designing, constructing, and reengineering a system Lesson FS3: Who Cares? Stakeholders! Lesson FS4: Food Security as a System Lesson FS5: Why Don’t We Just Grow More? Lesson FS6: Where Does Our Food Come From? Lesson FS7: Summative Assessment – United Nations Council Meeting Contributors
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Observing Beyond Our Senses
Unit Plan Lesson 1 – Introduction to Saline Environments & Microbial Halophiles Lesson 2 – Design Process-Measuring Wind Speed Lesson 3 – Inferences From Proxy Variable Mock AFM Lesson 4 – Signal and Noise Lesson 5 – Inferring Properties and Calibrations Lesson 6 – Death Valley Middle Basin Case Study Contributors
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Ocean Acidification
Unit Plan Lesson 1 – Critical and Systems Evaluation of News Articles Lesson 2 – Exploring CO2 to Better Understand Ocean Acidification Lesson 3 – Defining the Problem: Ocean Acidification Lesson 4 – Planning Cohesive Experiments Lesson 5a – Ocean Acidification Experimentation Lesson 5b – Online Data and Supplemental Evidence Lesson 5b – Online Data and Supplemental Evidence (pre-2018 version) Lesson 5c – Using Ocean Acidification Models to Make Predictions Lesson 6 – Global Ocean Acidification Summit Contributors
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Computational Modeling
- Bioengineering a Sustainable World
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Carbon’s Fate
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Systems Medicine Education
- Community-Contributed
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Standards Addressed
Systems are Everywhere
Unit Plan
COURSE: Any course in which you use or want to explore systems. Examples of courses where this has been used are: Physical Science, Life Science, Biological Science, Environment Science, Physics, Chemistry, Biology, Oceanography, Engineering, Economics, General Elementary Education.
UNIT: Units that include applications of cycles, feedback loops, circuits, processes, equilibrium, homeostasis, or response for any STEM content. Additionally, units that focus on building 21st century skills, “soft skills”, problem solving, design thinking, systems thinking, career connections, career awareness, and career development skills are enhanced by using this module.
Please note – this Systems Are Everywhere module, as it is currently written, works very well when teaching virtually with students. If you need a comparable module for in-person learning, please consider using either Introduction to Systems module or this Systems are Everywhere module.
INTRODUCTION
In this module, students are introduced to systems, systems modeling, and systems thinking. The activities provide opportunities for them to explore how systems modeling and systems thinking are used to address complex problems and to apply their knowledge and skills to a challenge in their own lives.
OBJECTIVES
See the Standards Addressed page for information about the published standards and process we use when aligning lessons with NGSS and other Science, Math, Literacy and 21st Century skills). In addition to the aligned objectives listed in buttons on the upper-left of this page, for this module, here is a breakdown of:
- A system is a collection of interconnected and interdependent parts.
- Systems can be found in all aspects of life, and can be simple or complex.
- Modeling systems provides insight into the relationships and contributions of each part of a system, and the flow of information through the system.
- Creating a model is an iterative process that benefits from peer feedback.
- Computer modeling tools allow for the visualization of the flow of information in a system.
- A systems model includes nodes to represent the parts of a system, and edges to represent the relationships between those parts.
- Systems generally have mechanisms for balancing growth and stability.
- Change in a systems model can be positive, negative, or neutral.
- Systems thinking allows for a holistic view of a problem in order to affect change.
- Systems thinking is applicable to many different disciplines.
- Understanding of systems thinking skills can be developed over time.
- There are 16 systems thinking skills that fall into 4 categories of mindset, content, structure, and behavior.
- Systems thinking skills are desirable skills to highlight in job, college, and scholarship applications.
- Students evaluate a list of items to determine whether they are a system.
- Students explain what a system is.
- Students build understanding of real-world systems by analyzing parts of an urban farm system.
- Students use an online tool, Loopy, to model a subsystem of the urban farm.
- Students build on their Loopy model to generate ideas for mitigating the negative effects and / or elaborate on impacts to the system.
- Students evaluate a cartoon image to determine how it would change if systems thinking was in place.
- Students apply their knowledge and skills by creating a model in Loopy of a system of their choosing.
- Students evaluate the pathway requirements for a STEM career.
- Students produce a profile to showcase their systems thinking skills development.
- Students create a resume that includes activities where they have used or developed systems thinking skills.
- Students build understanding of systems thinking skills by analyzing how those skills are used in cancer research.
- Students evaluate their systems thinking skills development over time using an Excel spreadsheet heatmap.
- Students create an infographic of a systems thinking skill and present it to the class.
PACING GUIDE
This unit consists of three lessons, each designed to be completed in one to four 50-minute periods. In-class time can be reduced by assigning parts of the activities as homework. Additional Career Connection Activities can be added as time allows.
Lesson 1 – Introduction to Systems and Models (1 class period)
- Pre-Assessment (10 minutes)
- Activity 1.1: What is a system? (10 minutes)
- Activity 1.2: How do systems models help us understand how systems work and how they can be affected? (30 minutes)
Lesson 2 – Systems Thinking (2 class periods)
- Activity 2.1: What is systems thinking and why is it important? (20 minutes)
- Activity 2.2: How do professionals use systems thinking skills to address complex problems? (15 minutes)
- Activity 2.3: How familiar are you with each of the systems thinking skills? (15 minutes + ongoing tracking throughout the module)
- Activity 2.4: Building familiarity with the systems thinking skills (50 minutes)
Lesson 3 – Becoming a SystemsThinker (2-4 class periods)
- Activity 3.1: Modeling your own system (50 minutes)
- Activity 3.2: Exploring jobs and careers that use systems thinking (50 minutes)
- Activity 3.3: Integrating systems thinking skills into a professional application (50 minutes)
- Activity 3.4: Creating your own systems thinker profile (50 minutes)
- Post-Assessment (10 minutes)
ASSESSMENT
Formative assessments are provided within each lesson. A recommended Pre vs Post Summative Unit assessment is provided in Lesson 1 and Lesson 3.
PREREQUISITES / BACKGROUND INFORMATION
These are introductory lessons that were developed for high school students for use in any setting. The content can easily be modified to serve students of all ages. No prerequisites or background is needed. However, access to computers is required whether leading this in-person or remotely.
RESOURCES
- Pre/Post-Assessment (Google Doc | Word Doc)
- Materials and files for each Lesson are found within the lesson links listed above.
ACCOMMODATIONS
ELL students may benefit from a vocabulary list and peer notes that correspond with the module.
REFERENCES
- Wikipedia page on positive feedback loops: https://en.wikipedia.org/wiki/Positive_feedback
- Wikipedia page on negative feedback: https://en.wikipedia.org/wiki/Negative_feedback
- “All models are wrong, but some are useful” quote and its meaning: Wikipedia.
- Chapter 6 of NSTA’s “Helping Students Make Sense of the World Using Next Generation Science & Engineering Practices”
- Arnold, Ross & Wade, Jon. (2017). A COMPLETE SET OF SYSTEMS THINKING SKILLS. INSIGHT. 20. 9-17. 10.1002/inst.12159.
- WA STEM Labor Market tool: https://washingtonstem.org/labor-market/
- ISB’s featured cancer research projects: https://isbscience.org/research/projects/?filter=cancers
- ISB’s student computational modeling projects focused on cancer: https://www.gaininginsight.org/cmwg/2020/project-themes
- CDC cancer sites: https://www.cdc.gov/cancer/index.htm
- Fred Hutch website: https://www.fredhutch.org/en/research/diseases/cancers.html
- National Cancer Institute: https://www.cancer.gov/
- Jamboard Google collaboration tool: https://gsuite.google.com/products/jamboard/
- Systems Thinkers in STEM Career Connection resources: https://see.isbscience.org/systems-thinkers/career-connection-overview/
- ISB Computational Modeling modules: https://www.gaininginsight.org