Epidemic Spread Simulation with Exponential Functions
Created byPamela Lausch
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Epidemic Spread Simulation with Exponential Functions

Grade 8Math10 days
This project engages 8th-grade students in using exponential functions to simulate and predict the spread of diseases, thereby highlighting the importance of mathematical modeling in decision-making during epidemics. Through activities such as graphing, simulation, and presentation of findings, students develop a deep understanding of exponential growth, decay functions, and the use of technology in mathematical analysis. The project is framed around real-world applications and includes a virtual tour of a disease research lab to enhance engagement and contextual learning. The assessment focuses on understanding, application, technological proficiency, and communication skills, encouraging students to reflect on their progress and confidence in using exponential functions in real-life scenarios.
Exponential FunctionsMathematical ModelingDisease SpreadTechnology in EducationReal-World ApplicationsGraphing Simulations
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Inquiry Framework

Question Framework

Driving Question

The overarching question that guides the entire project.How can we effectively use exponential functions and technology to model and predict the spread of diseases in communities, and what are the implications for decision-making during an epidemic?

Essential Questions

Supporting questions that break down major concepts.
  • How do exponential functions help us understand and predict the spread of diseases in communities?
  • In what ways can mathematical modeling impact decision-making during an epidemic?
  • What are the key features of exponential functions that make them suitable for modeling real-world phenomena like disease spread?
  • How can technology be used to accurately represent and analyze exponential growth and decay in a real-world context?
  • What challenges might arise in using mathematical models to predict real-world events and how can we address them?
  • How does understanding the domain and range of exponential functions influence our interpretation of graphs related to disease spread?

Standards & Learning Goals

Learning Goals

By the end of this project, students will be able to:
  • Students will understand the concept of exponential growth and decay as it applies to real-world phenomena, particularly disease spread.
  • Students will be able to graph and interpret exponential functions, identifying key features like y-intercepts and asymptotes.
  • Students will effectively use technology to model and analyze exponential functions related to disease transmission.
  • Students will develop problem-solving strategies to apply exponential models in decision-making processes during an epidemic.
  • Students will be able to communicate their analytical processes and conclusions about epidemic spread using multiple representations.

Provided Standards

A.1A-G
Primary
Students will use mathematical processes to understand and apply math in everyday situations, work environments, and societal contexts. They learn problem-solving strategies, utilize various tools and techniques, communicate effectively through multiple representations, analyze mathematical relationships, and express their reasoning clearly in both written and oral forms.Reason: This standard supports students in applying math learning to real-world scenarios, like modeling disease spread, which enhances their problem-solving and analytical skills.
A.9A-D
Primary
Exponential functions and equations. The student applies the mathematical process standards when using properties of exponential functions and their related transformations to write, graph, and represent in multiple ways exponential equations and evaluate, with and without technology, the reasonableness of their solutions. The student formulates statistical relationships and evaluates their reasonableness based on real-world data.Reason: This standard directly relates to the projectโ€™s requirement to use exponential functions to model disease spread, making it central to the project's mathematical focus.
A.9B-C
Primary
The student interprets the meaning of the values of a and b in exponential functions of the form f(x) = abx in real-world problems; writes exponential functions in the form f(x) = abx (where b is a rational number) to describe problems arising from mathematical and real-world situations, including growth and decay.Reason: These skills are necessary for students to construct accurate models of exponential growth and decay phenomena, essential for understanding the dynamics of disease spread.
A.9E
Primary
The student writes, using technology, exponential functions that provide a reasonable fit to data and make predictions for real-world problems.Reason: This standard emphasizes the use of technology in modeling real-world problems, aligning closely with using tech tools for the epidemic simulation project.
A.12C-D
Secondary
The student identifies terms of arithmetic and geometric sequences when the sequences are given in function form using recursive processes; writes a formula for the nth term of arithmetic and geometric sequences, given the value of several of their terms.Reason: Understanding sequences helps frame the exponential growth patterns in diseases, supporting depth in mathematical modeling.

Entry Events

Events that will be used to introduce the project to students

Virtual Field Trip to a Disease Research Lab

Use virtual reality technology to take students on a tour of a disease research lab where scientists use math to combat viruses. This experience gives students a first-hand look at how exponential functions apply in critical research work, enhancing engagement through a blend of technology, math, and real-world application.
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Portfolio Activities

Portfolio Activities

These activities progressively build towards your learning goals, with each submission contributing to the student's final portfolio.
Activity 1

Exponential Function Explorer

Students will start by exploring the fundamental concepts of exponential functions by investigating how they work and their applications in modeling real-world phenomena like the spread of diseases.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Introduce exponential functions with real-life examples of growth and decay, such as bacteria multiplying or deforestation.
2. Explain the formula f(x) = ab^x and its components a and b.
3. In pairs, students choose a scenario, like a virus spreading or a population of animals, to model using exponential functions.

Final Product

What students will submit as the final product of the activityA concept map displaying understanding of exponential growth and decay functions, highlighting real-world applications.

Alignment

How this activity aligns with the learning objectives & standardsAligns with A.9B-C, focusing on interpreting exponential function components in real-world problems.
Activity 2

Graphing the Epidemic

Students will graph exponential functions to visually represent and analyze simulated data of disease spread, utilizing graphing technology to observe critical features such as y-intercepts and asymptotes.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Students use graphing software or tools to plot exponential functions based on their initial scenario.
2. Identify and label key features such as y-intercepts, asymptotes, and growth/decay rates on the graph.
3. Discuss how changes in 'a' and 'b' values affect the dynamics of the graph.

Final Product

What students will submit as the final product of the activityA set of graphs annotated with critical features, demonstrating understanding of the graph's shape relative to real-world epidemic simulations.

Alignment

How this activity aligns with the learning objectives & standardsSupports A.9A-D by graphing exponential functions, emphasizing key features and their meanings.
Activity 3

Tech-Savvy Simulations

Leveraging technology, students will create simulations of exponential growth and decay by entering modeled data into software, allowing them to predict disease spread outcomes and propose intervention strategies.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Input simulated data into technological tools that model exponential growth and decay, such as spreadsheets or specialized software.
2. Run simulations to predict how changes to variables might impact the spread of a disease over time.
3. Analyze the output to evaluate potential intervention strategies.

Final Product

What students will submit as the final product of the activitySimulation reports displaying modeled outcomes and proposed interventions backed by data analysis results.

Alignment

How this activity aligns with the learning objectives & standardsAligns with A.9E, focusing on using technology to model exponential functions and predict real-world scenarios.
Activity 4

Epidemic Model Communicator

Using multiple forms of representation, students will compile and present their findings on epidemic simulations, effectively communicating their analytical processes and conclusions.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Organize data, graphs, and simulation outputs into a coherent presentation format.
2. Prepare a presentation explaining the modeling process, the insights gained, and the decisions proposed based on predictions.
3. Present findings to peers, defending results and proposed intervention strategies.

Final Product

What students will submit as the final product of the activityAn interactive presentation that synthesizes the entire modeling process, analysis, and conclusions about epidemic spread.

Alignment

How this activity aligns with the learning objectives & standardsAddresses A.1A-G by communicating mathematical reasoning and findings through multiple representations, both oral and written.
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Rubric & Reflection

Portfolio Rubric

Grading criteria for assessing the overall project portfolio

Epidemic Spread Simulation Rubric

Category 1

Understanding Exponential Functions

Assessment of students' comprehension of exponential growth and decay, and their ability to interpret exponential functions in real-world contexts.
Criterion 1

Conceptual Understanding

Evaluates students' grasp of exponential functions, including their components and behavior.

Exemplary
4 Points

The student demonstrates a sophisticated understanding of exponential functions, accurately explaining components like 'a' and 'b' and their impact on the function's behavior. The student consistently links exponential models to real-world scenarios with clarity and insight.

Proficient
3 Points

The student demonstrates a thorough understanding of exponential functions, explaining components like 'a' and 'b' and their impact on the function's behavior. The student relates exponential models to real-world scenarios accurately.

Developing
2 Points

The student shows an emerging understanding of exponential functions, with basic explanations of components like 'a' and 'b'. The connection to real-world scenarios is inconsistent or lacks depth.

Beginning
1 Points

The student shows initial understanding of exponential functions, struggling to explain components like 'a' and 'b'. The connection to real-world scenarios is weak or absent.

Criterion 2

Application of Mathematical Concepts

Evaluates how well students apply exponential functions to model real-world problems, such as disease spread.

Exemplary
4 Points

The student applies exponential functions innovatively to model complex real-world problems, demonstrating exceptional critical thinking and problem-solving skills.

Proficient
3 Points

The student applies exponential functions appropriately to model real-world problems, showing effective critical thinking and problem-solving skills.

Developing
2 Points

The student applies exponential functions inconsistently to model real-world problems, with basic critical thinking and problem-solving skills evident.

Beginning
1 Points

The student struggles to apply exponential functions to model real-world problems, showing minimal critical thinking and problem-solving skills.

Category 2

Use of Technology

Evaluation of students' proficiency in using technology to simulate and graph exponential functions, and analyze data related to disease spread.
Criterion 1

Graphing and Simulation Skills

Assesses the ability to use technological tools for graphing and running simulations.

Exemplary
4 Points

The student uses technology with exceptional proficiency to create accurate graphs and simulations, demonstrating advanced analytical skills.

Proficient
3 Points

The student uses technology effectively to create accurate graphs and simulations, demonstrating solid analytical skills.

Developing
2 Points

The student uses technology inconsistently to create graphs and simulations, demonstrating basic analytical skills.

Beginning
1 Points

The student struggles to use technology to create graphs and simulations, showing minimal analytical skills.

Criterion 2

Data Analysis and Prediction

Evaluates the success in analyzing simulated data and making informed predictions.

Exemplary
4 Points

The student analyzes simulation data with exceptional depth, making highly accurate and insightful predictions.

Proficient
3 Points

The student analyzes simulation data effectively, making accurate predictions.

Developing
2 Points

The student analyzes simulation data with limited depth, making basic or inconsistent predictions.

Beginning
1 Points

The student struggles to analyze simulation data, making inaccurate or superficial predictions.

Category 3

Communication of Findings

Assessment of students' ability to effectively communicate their modeling process, analysis, and conclusions through various representations.
Criterion 1

Presentation Skills

Evaluates the clarity and effectiveness of the students' presentations and their ability to communicate findings.

Exemplary
4 Points

The student's presentation is exceptionally clear and engaging, with advanced integration of data and visual aids. The student communicates findings with depth and insight, showing leadership in peer discussions.

Proficient
3 Points

The student's presentation is clear and well-structured, effectively integrating data and visual aids. The student communicates findings with clarity and participates effectively in peer discussions.

Developing
2 Points

The student's presentation is structured but lacks depth or engagement, integrating basic data and visual aids. The student communicates findings with limited clarity.

Beginning
1 Points

The student's presentation is unclear and poorly structured, with minimal use of data and visual aids. The student struggles to communicate findings effectively.

Reflection Prompts

End-of-project reflection questions to get students to think about their learning
Question 1

Reflect on how your understanding of exponential functions has evolved throughout this project. Consider the initial concepts and how your grasp of the topic has deepened by engaging with real-world scenarios and technology. What were key moments or activities that significantly contributed to this understanding?

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Question 2

On a scale of 1 to 5, how confident do you feel about using exponential functions to model real-world problems like disease spread after completing this project?

Scale
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Question 3

What challenges did you encounter when using technology to model exponential functions for disease spread, and how did you address them?

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Question 4

Which features of exponential functions did you find most crucial in accurately representing and predicting disease spread, and why?

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Question 5

How do you foresee applying the skills and knowledge gained from this project in future mathematical or real-world contexts?

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