Lesson Plan 1
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LESSON PLAN
Name:
Jessica Hawkins
Title of Lesson:
Graphing an Epidemic
Date of Lesson:
October 8, 2006
Length of Lesson:
One 50-minute period
Description of Class:
High School Biology I
Source of Lesson:
Original lesson written by Gail Dickinson
NIH Curriculum Supplement: Emerging
and Infectious Disease
TEKS
addressed:
112.43. Biology.
(2) Scientific processes. The student uses scientific methods
during field and laboratory investigations.
The student
is expected to:
(B) collect data and make measurements with precision;
(C) organize, analyze, evaluate, make inferences, and predict
trends from data; and
(D) communicate
valid conclusions.
(10)
Science concepts. The student knows that, at all levels of nature,
living systems are found within other living systems, each with its
own boundary and limits. The student is expected to:
(A) interpret the functions of systems in organisms including
circulatory, digestive, nervous, endocrine, reproductive,
integumentary, skeletal, respiratory, muscular, excretory, and
immune;
The Lesson:
I.
Overview
In this lesson, the kids will use a simulation to illustrate the
effects of an epidemic. They will then construct a graph from their
data and analyze the graph type. They will learn aspects of viruses
such as infection, immunity and recovery throughout the lesson.
II.
Performance
or learner outcomes
Students will be able to:
-Demonstrate how to construct an exponential curve
-Describe different stages of viral infection
-Understand the concept of immunity
III.
Resources,
materials and supplies needed
a.
Red, green, blue and yellow Post It notes
b. Red,
green and blue colored pencils
c. Overhead
of graph and data table
d.
Red, green and blue overhead pens
e.
Computer projector, NIH Emerging and Infectious Disease
CD ROM
IV.
Supplementary materials, handouts
a. 0% immune and 50% immune handouts
Five-E
Organization
Teacher
Does Student Does
Engage:
Learning
Experience:
Ask the
students to sign in on a sign in sheet at the front of the
class to keep track of attendance. (The pen used to sign in
will have glow in the dark hand cream on it that you have
already spread on the pen.)
Tell the
class that a new infectious disease has been discovered that
can be detected by black light. Turn out the lights to see
what students have the disease, visible on their hands.
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Hoped for
student response:
Some
students will have “glow in the dark” hands or other parts
of their materials or body that they have touched.
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Questions:
1.
How did you
get the disease if you have it?
2.
How was the
disease passed?
3.
Does the
presence of the cream on your hands indicate that you have
been infected?
4.
What
variables would you use if you graphed the epidemic?
5.
What would
the graph look like? Will it be linear, curved, or another
graph? Why?
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Expected
Student Response:
1.
First, they
got the disease or were exposed to it by signing in. Then
they could have gotten the disease after it had spread to
others or to surfaces in the classroom.
2.
Touching the
pen, signing in, touching each other or surfaces touched by
others.
3.
Just because
a person has been exposed to the disease does not mean they
have been infected. (Drive this point!)
4.
Number of
people with the disease, number of people sick, number of
deaths if a fatal disease. Time is the other variable,
which is independent. The first variable, number of people
is the dependent variable.
5.
Straight
line or curved. If they answer either of the previously
mentioned ways, they probably have not taken possibly
immunity into account.
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Explore:
Learning
Experience(s):
Today we
will act out the spread of a disease that lasts for 2 days.
Each student
is to receive one hand out and 4 post its: red, green,
yellow and blue.
Give each
student 1 hand out and 4 post its (one each - green, red,
yellow and blue). These should be paperclipped together to
make it easier to pass out.
Tell the
students that Green = immune, blue = infected, red = sick,
yellow = recovering. |
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The first
“victim” is chosen. Give that student an extra “infected”
card (blue post it). Putting the red post it on will
indicate that he or she is sick. He/she will then give a
blue post it to one other student within arms reach. He or
she takes the blue post it and puts it on. . Record the
data on the table to be visible on the overhead. This is
the end of day 1. |
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On Day 2,
student 1 is recovering (yellow) and student 2 is sick
(red). Student 1 and 2 pass an infected post it to a
student next to them. Day is recorded from day 2.
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They will
record the data on their handouts as the disease spreads.
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On Day 3,
student 1 is immune, student 2 is recovering and students 3
and 4 are sick. Students 2, 3 and 4 pass blue post its to
other students close to them in the class. The simulation
continues until no more students can be infected.
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Questions:
1. If we
graphed the number of sick people, what would this look
like? What would be different about the graph of the number
of infected people or the one of the recovering people?
2. How would
you describe the graph of the number of immune people? |
Expected
Student Response:
1. The graph
of the number of sick people goes up then down. The graph
for infected people will look like the graph of the number
of sick people but will be offset a little bit. The
recovering people will look similar.
2. This
graph is exponential.
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Explain:
The students
are to graph the data with colored pencils. Discuss in
groups what you think the explanation of these graphs is.
Questions:
1.
Would you
change your initial prediction of the graph, or were your
predictions correct?
2.
What
accounts for the difference in the graphs?
3.
Did the
disease ever reach epidemic numbers, meaning more than half
sick or recovering?
4.
What would
the curves look like if half the population was already
immune before disease was exposed?
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Students
will produce a graph with 4 curves: one for infected, one
for sick, one for recovering, and one for immune. The number
of immune people goes up exponentially while at the same
time the other go down.
Expected
Student Response:
1.
This depends
on their first response.
2.
Sick
people’s health eventually improves. . Immune people stay
immune so the number will increase.
3.
This depends
on the way the class does the activity. More than likely,
it will reach epidemic proportion.
4.
The number
of sick people will be less and the overall graphs will
remain the same. |
Extend /
Elaborate:
One half the
class gets green post its and data sheets while the other
only gets data sheets.
Repeat the
simulation.
Record the
data on the 50% immune sheet.
Ask students
to graph their data.
Questions:
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What
difference do you see for the graph as compared to the
trial in which no one was immune?
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What
difference do you see in the graph of the number of
people immune as compared to the trail in which no one
was immune?
-
How are
vaccines important?
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Students
will repeat the simulation and record their data.
Students
will graph their data.
Hoped for
response:
Students
will see that the number of sick/recovering people is way
less than when none of the population was immune to start
with. The number of immune people gets large. Immunity
prevents the disease from spreading. Not everyone needs to
be immune to keep an epidemic from occurring.
Expected
Student Response
6.
The curve
should not be as longer.
7.
The curve
goes up at a lower rate.
8.
Vaccinations
help keep too many people from becoming sick. .
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EVALUATION:
The data sheets from
both the exploration and the extension serve as evaluations as well
as the questions asked throughout the lesson.
Virus Handout 0% Immune
Sketch a graph below that shows what you
think the data will look like.
Observations:
Record your data on the table below.
Day |
Number of People Sick/
Recovering |
Number of People Infected |
Number of People Immune |
1 |
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2 |
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3 |
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4 |
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5 |
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6 |
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8 |
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9 |
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10 |
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11 |
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12 |
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14 |
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What do you base your prediction on?
Explain why you drew what you drew.
Graph your data below.
Label the axes. Use a red pencil for number
of sick/recovering people, blue pencil for number of infected
people, and green for number of immune people.
Explain:
Write three statements about your graph
that explain what you observe.
1.
2.
3.
Virus Handout
50% Immune
(use same graphs as in Day 1)
Explain:
Compare this graph with the 0% immune trial
graph. Make three to four observations about how the two graphs
compare.
1.
2.
3.
4.
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