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(Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02
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(Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Dec 22, 2015

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Page 1: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

(Science) Education and Simulations

Matthew J. Koehler

CEP 909, 11-21-02

Page 2: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

School Science vs. Practiced Scienceaka…. Houston: We have a problem ….

School Science Theories (models) are presented

Data is presented in support of the theory (model)

Theories (models) are proved as true, or factually correct

Theories (models) are “rigid”

Science as practiced Theories (model) are created

Theories (models) are a conceptual undertaking (as well as empirical)

Data is for evaluating fit

Theories (models) are in flux

Page 3: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Science as Theory Building NOTE - The views presented here are overly simplified. Science

isn’t really this clean cut, as the fields of science history and philosophy of science have pointed out. But, this has some utility that we will use here.

CollectData

Make aTheory

EvaluateTheory

ReviseTheory

Use TheoryOr

Teach to Kids

NOTE: Science Ed is often reduced to dissemination of theories, and not all the cool stuff on the right. Most reform efforts seek to remedy this situation by including some or all of the stuff to the right.

Page 4: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Science as Theory Building

There is some phenomena or system that could be better understood

The motion of objects

The functioning of a body organ

How altruism can have an evolutionary explanation

How termites can build a mound with limited intelligence

Page 5: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Science as Theory Building Collect observations (data)

Measure the luminosity and positions of stars (e.g. Tyco Brahe)

Collect field information about species diversity (e.g. Darwin)

Measure time and position of falling objects (e.g. Galileo)

Dissect animals to collect information on the characteristics of bodily organs

Etc.

Page 6: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Science as Theory Building Now, simply make a theory :) In other

words, mix together:

One part logic

One part art

One part inspiration

One part insight

One part magic (the part that nobody understands)

Page 7: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

SIDEBAR - What’s a theory We build the theory because we wish to understand

something. Indicators of this understanding: Predict Explain Control Simplify

Theories have many forms Text (e.g. Darwin) - Mutation and Selection drive the evolution of

species Equations (e.g. Newton) - F=mA Analogies Models (e.g. Keppler) Simulations (e.g. Start of the universe models)

Page 8: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Science as Theory Building Theories are Evaluated. Usually through comparisons to

existing data. Or by “running experiments.” How well do they ____________ ?: Predict Explain Simplify

How do they compare to rival theories? Which theory accounts for the data? (empirical) Which theory explains better? (conceptual) Which is more compelling? Do they make different predictions in some (yet) untested

condition?

Page 9: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Science as Theory Building Theories are revised

To better predict To better explain

This often necessitates collecting more observations and starting the cycle all over again.

Page 10: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Simulations Most broadly, refer to any virtual experience.

Many of which are not particular to science

Online communications (virtual community)

Art (virtual depictions)

Training (Flight simulators)

The rest of this presentation focuses on simulations in science education

Page 11: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Simulation in Science Education Observing and collecting data

Collecting data virtually for data that is hard to get during school hours (e.g. star positions)

Training for collection procedures (e.g. cow eye dissection)

Theory Building Having kids write simulations as embodiments of theories (e.g. Star

Logo, Model_It! )

Theory Evaluation Getting data faster - Virtual lab environments where you can “run

experiments” much faster than the real world Conducting experiments - Simulation makes predictions for certain

conditions. Could compare results to “real world.”

Page 12: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Simulation in Science Education

Theory Revision Same as Building and Evaluation above

Teaching Theories Making tradition teaching of theories come alive, by linking

phenomena to the the theoretical explanations and representations. (e.g. DiSessa’s Physics World, Snir’s density world, etc.)

Page 13: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Pro and Cons of Simulation #1 PRO: Simulations afford the opportunity to do the

otherwise impossible, difficult, or impractical (e.g., launch a rocket, Dissect a Dodo bird)

CON: Impossible: May distort reality for students (e.g. shooting

people in video games is rewarded)

Difficult: May also distort reality when difficult things are commonplace.

Impractical: Virtual pendulum, why not a real pendulum

Page 14: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Pro and Cons of Simulation #2 PRO: Simulations can focus on the relevant, and ignore

the irrelevant (i.e. they can make the “phenomena” more ideal) Physics - Movement of objects without friction Biology - Distinctive body parts that are easier to identify

CON: Who gets to decide what’s “relevant”?

What if the “irrelevant” is relevant?

Danger of oversimplifying

Confusing the theory with reality (Reality is more complex

Hiding the process of construction underlying theories and models

Page 15: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Pro and Cons of Simulation #3 PRO: Simulations can allow students to make

manipulations and see their effects Opens up the process of theory (model) building and

evaluation Invites students to see causation between the mechanisms in

the model and the effects on the phenomena

CON: Misrepresenting Reality: Manipulations might not be possible

in the real world (You can’t change the mouth on an existing fish like you can in the virtual aquarium)

Cognitive overload: requires reasoning about multiple causations, which may overload students’ cognitive capacities.

Page 16: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Pro and Cons of Simulation #4 PRO: Simulations can make stuff that is hidden in the real

world visible in the simulation (e.g. vectors of momentum, a trail of movement, color to represent temperature, etc). Theories become visible Connections between the accepted notations and the phenomena

being modeled.

CON: Correspondence: Lack of correspondence between reality and the

simulation (far too many to mention).

Obscures the process of deciding what to make visible, and what representations are profitable for that phenomena (dependent on the developer of the system).

Page 17: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Pro and Cons of Simulation #5 PRO: Allows theory building and modeling to be more

visible accessible, assessable, and sharable to all. Connections between the “sterile theory” and the rich

phenomena becomes more accessible (e.g., Newtonian billiard ball simulations).

Requires theories to be fully specified. In some cases, the simulations become so accessible, that

children can make them (e.g. StarLogo).

CON: Immersive: The simulation can be so compelling, students

can forget to ask important questions like: Who’s doing the theory building and modeling? Why should I believe them?

Page 18: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Does Simulation = Theory ? It can be

Most scientific simulations explicitly or implicitly embed a theory (Newtonian physics, water cycle, movement of the solar system, etc.)

But not necessarily Example: Cow-eye dissection. There isn’t a theory (in the

explanatory sense) embedded in the the simulation. It’s more of a virtual training guide to a scientific procedure to be performed.

Page 19: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Does Simulation = Model ? I think a simulation is a model

Every simulation has a simplified world, a model of some more complex system. This includes the cow-eye dissection (the model eye is less “messy” than a real one).

A model doesn’t have to be a simulation For example, a model airplane (to scale) doesn’t simulate

anything about a real plane (other than the relative proportions and positions of real plane features). It doesn’t virtually fly, predict when it would stall out, it’s terminal velocity, nor its’ stability.

A theory might be the same as a conceptual model

Page 20: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

Does Theory = Model ? It often does

Most theories have models that instantiate them (Newtonian physics has plenty of models that behave accordingly - for example DiSessa’s moving ball model, Evolutionary theories have many associated models - we saw some in StarLogo).

Doesn’t have to be Model w/o a theory - Example: model airplane (to scale).

Theory without a model - Constructivism as an educational theory (Although one might argue that the development of the theory is not far along enough to warrant the creation of a model yet).

Page 21: (Science) Education and Simulations Matthew J. Koehler CEP 909, 11-21-02.

The End … ?

Questions, comments, criticisms, critical acclaim, … ?