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Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo- [email protected]

Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University [email protected]

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Page 1: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Conceptual Representations for Learning about Complex

Biological Systems:From Expertise to Instruction

Cindy E. Hmelo-SilverRutgers University

[email protected]

Page 2: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Overview• Understanding complex systems• Structure-Behavior-Function (SBF) as a

conceptual representation• Expert-novice differences in complex systems

understanding• Conceptual Representations embodied in

instruction– Hypermedia– NetLogo

• Into the classroom

Page 3: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Why Learn about Complex Systems?

• Ubiquitous in the world– Human systems– Cities– Ecosystems

• Important for understanding many aspects of science

• Potential to integrate across disciplines

Page 4: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Understanding Complex Systems

• Difficult because:– Multiple levels of organization that often depend

on local interactions (Wilensky & Resnick, 1999) – Invisible, dynamic phenomena pose barriers to

understanding– Conflict with learners’ prior experience (Feltovich

et al., 2001)– Indirect causality (Perkins & Grotzer, 2000)

Page 5: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Novice Understanding• Focus on the perceptually available structures

(Hmelo, Holton, & Kolodner, 2000; Wood-Robinson, 1995; Hmelo-Silver & Pfeffer, 2004)

• Favor simple explanations, central control (Jacobson, 2001)

• But can conceptual representations provide organizing frameworks for learning about such systems?– Examples: Emergence, Structure-behavior-function

Page 6: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Structure-Behavior-Function (SBF) theory

• Allows effective reasoning about the functional and causal roles played by structural elements in a system (Goel et al., 1996).

• Structures refer to elements of a system• Fish• Filter

• Behaviors refer to how the structures of a system achieve their purpose or output• Filters remove waste by trapping large particles, absorbing chemicals, and converting ammonia into

harmless chemicals

• “Why” Functions refer to why an element exists within a given (designed) system or the output of the system

• The filter removes byproducts from the aquarium

Page 7: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Studying SBF as a conceptual representation

• Expert-novice study

• Two domains:– Aquariums– Human respiratory system

Page 8: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Participants

Respiratory System Interview:

21 Middle school students20 Pre-service teachers13 Experts (8 respiratory

therapists, 5 pulmonary physicians)

Aquarium Interview:

20 Middle School Students

26 Preservice Teachers

9 Experts (5 hobbyists, 4 biologists)

Page 9: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Coding and Analysis

• Interviews were coded according to SBF coding scheme for the presence or absence of a target concept. – Structure

• “There is sand on the bottom” • “The trachea is divided into two parts”

– Behavior• “Fish hide between the plants” • “The brain sends a signal for the diaphragm to contract downward”

– Function • “A filter filters out organic waste”• “Lungs bring air into your body…”

Page 10: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Results: Respiratory System

Page 11: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Sample Responses: What do the lungs do?

• Expert: The lungs, pretty much are the place of oxygen gas exchange. It’s where oxygen comes into the body. It’s where acid load by carbon dioxide is released from the body. That’s its primary function….The tissue lungs…well you have…ACE-inhibitor break down…you have…you also have I think insulin break down. Also that occurs in the lungs too. You have oxygen exchange. That’s primary purpose…lungs are oxygen exchange, well oxygen gas exchange. I’m sorry let me get that correct, gas exchange because you don’t want to leave the carbon dioxide out, which is just as important, and its also a mechanism for managing acidosis, pH balance, because its one of the most quick, it’s the most rapid management. You can blow off CO2 even if the CO2 is normal to maintain a decent pH, so its one of the quick modes of balance, pH balance.

• Pre Service Teacher: The lungs transfer air, transfer oxygen and carbon dioxide I believe back and forth from the blood stream and the air sacs within the lungs in order to provide it to the blood system.

• Middle School Student: Well, they ah, its where the air goes like it helps you breathe. I don’t want to say pumping, but it um, something like that.

Page 12: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Results: Aquarium Systems

N Structure Behavior Function

Middleschoolstudents

20 12.30 (1.17) 6.60 (2.52) 7.60 (3.31)

Pre-serviceteachers

26 12.15 (1.46) 7.96 (2.20) 7.58 (2.84)

Experts 9 13.00 (0.71) 14.89(2.85) 18.56 (4.07)

Page 13: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Sample responses: What do fish do in an aquarium?

• Expert: Hmm. Um, in an aquarium, fish will do many of the same things that they do in their natural life. They’ll forage for food, they will uh, seek mates and attempt to mate. And many times they will successfully reproduce. Um, they eat, they sleep, they burrow for shelter, and they go through a lot of social aggression, interactions, dominance. They establish dominance and attempt to maintain it over other fishes in the tank. Or uh, go in a submissive mode and spend a lot of time hiding from dominant fishes in the tank. …Specifically, you could list a whole bunch of physiological uh, levels of things that fishes do. Like respire, digest, uh grow, um die.

• Pre service teacher: They swim around…they…that’s where they live…so that’s like where their whole habitat is, that’s where there whole life is…

• Middle School Student: They swim around, cause it’s like, their like, mini-natural habitat. Fish always swim in water, so it’s like a converse size of their habitat.

Page 14: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Qualitative Analyses

• Expert interviews:– Provided more elaborate responses – Demonstrated a more integrated understanding that

cut across the SBF levels.

• Novice interviews:– Mentioned numerous structures

Page 15: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Expert-Expert Analyses• All have rich understanding, ∆ emphases

• Biologists/ Pulmonologists tended to have more global, abstract understanding

• Hobbyists/ Respiratory Therapists more local, situated understanding

Page 16: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Biologist Model of Filter

FILTER

Mimic natural

environment

In nature microbes

utilize waste

produced by animals

Toxic waste are nitrogenous

compounds (e.g. ammonia)

going into nitrates

Permits nitrifying or

denitrifying bacteria to build

up on the charcoal

Attached to

a stone in a

filter

Removes

nitrogenous

wastes

Cleans water from

organic particles (e.g.

dead tissue)

Absorbed

by the

charcoal

Charcoal

needs to be

charged

Use ladies nylon

stockings to re-

activate charcoal

PH

maintenance/

adjustment

Put shells in

the filter

Shells are

made

primarily of

calcium

carbonate

Shells buffer PH differences by

taking up excess hydrogen ions and

dissolving or depositing calcium

carbonate into the water

Bacteria is a

source of

disease

create sores on the fish

and other organisms

Once this starts you have to

break down the whole aquarium

• Focused on properties of filter as substrate for bacterial growth

• Relationship bet pH and filtration

• No discussion of nitty-gritty of behavior

• Somewhat abstract

Page 17: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Hobbyist Model of Filter

FILTER

Moves the water

several times

gallon/hour

Necessary for fish

Filters out particulate

matter like glass wool

or fiber

Removes

impurities (e.g.

chlorine)

If has Zeloite

in it

Filters out/

removes

ammonia

and nitrates

Keeps the water

surface stirred

If use

carbon

Fish like a

current in

the water

Pulls the water

over a series of

substances

Keep the slime

from forming

Keep the

plants happy

charcoal

absorbs gases

Made of plastic so it

doesn't interact with

water

Usually run by magnets, spins a

propeller that pulls the water in

through the siphon

If water level is below

the siphon- it will lose

power

• Talk about multiple functions of filter

• Composition and mechanics– ∆ kinds of materials

and their purposes

• Connects to other elements of system

Page 18: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Pulmonary Physician Modelof Respiratory System

has

controls

include

includeinclude

include

Pull downwards

Pull them outwards

help pull

pulls outwards

pulls downwards

provides feedback

to the brain by

checking for stretch

controls breathing

rate by checking for

acid-CO2 and H+

Control

controlscheck for

oxygenation

stimulates/slows

down breathing

depending on

oxygen need

help create negative

pressure

control

effects rate

checks for oxygen

tension and

regulates

air comes in/moves

out

end in

made of

made of

carry

close to

carries

Oxygen binds to

have

carried in

goes to

carry blood to

release oxygen in

and carries CO2

from

O2 goes to

produces ATP

through

ATP used in

Produce

binds to

in absence of O2

binds to

carried in air that is

breathed through

carried in air when it

is breathed out

through

create negative

pressure by

working together

this pulls in

comes in/ moves out

through

released from

released into

CNS

J receptors

Chemo

ReceptorsCarotid body

via chemo

receptors

Blood

Angiotensin

Receptors

Heart

Lungs

Neck and

abdominal

Muscles

muscles and bones that

control mechanics of

breathing

Immune

regulation

Inter costal

Muscles

Ventral medial

aspect

Larynx,

Pharynx

Alveoli

Medulla

terminal

bronchi

Diaphragm

Nose

Trachea

Ribs

bronchi

Capillaries

RBC

Hemoglobin

Cells

Mitochondria

Electron

Transport

chain

Krebs Cycle

Energy

Oxygen

Carbon

dioxide

Air

• Looks at system from many levels– CNS and control

• Feedback loops

– External Respiration– Internal Respiration

Page 19: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Respiratory Therapist Mental Model

air comes in

through airways

air passage

air passage

air passage

controlled by

have a network of

capillaries surround

carry

flows near

moves out of

moves into

moves into

moves out of

carry oxygenated

blood to

pumps oxygenated

blood to

oxygen used to

providecarries oxygen in

controls

controls

moves down to

create negative

pressure

move outwards to

create negative

pressure and this

pulls in air

protect

work together

work together

LUNGS

Capillary

Trachea

Bronchi

Brain

Energy

Alveoli

RBC Cells

Heart

Larynx,

pharynx

Blood

Nose

Intercostal

muscles

Diaphragm

Carbon

dioxide

Oxygen

Ribs

• Discuss multiple levels but lungs are central

• Focus on functions and behavior that have direct implication for practice

Page 20: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Discussion• Visible structures are best understood. • For the experts, behavioral and functional levels are

deep principles that organize their knowledge of the system.

• Although all experts have deep knowledge, there are interesting differences– Biologists/ Physicians think in global and abstract ways. – Hobbyists/ Respiratory therapists think in local and situated

ways.• Raises issue of what are appropriate target models for

instruction

Page 21: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Implications

• The SBF framework may function as a deep principle that maps on to:– expert ways of understanding complex systems – structure of domain.

• SBF framework offers a way for learners to look behind the scenes at phenomena that are not readily perceptually available.

• Organizing learning around deep principles such as SBF might enable students to understand new complex systems they encounter

Page 22: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Conceptual Representations in Hypermedia

• Organizing text and graphics based on:– Expert understanding– Deep principles of domain

• SBF as conceptual representation

• Proof of concept for emphasizing function

Page 23: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Function-centered Hypermedia

Page 24: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Structure-Centered Hypermedia

Page 25: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Comparing Function-centered vs. Structure-centered hypermedia

• Participants: 52 undergraduates enrolled in Educational Psychology– Random assignment to structure- or function- centered condition

respiratory system hypermedia

• Procedure– Students worked with hypermedia x 40 min– Written post-test on respiratory system understanding

• Scoring– SBF coding scheme for the target concepts.

• Structure– “The trachea is divided into two parts”

• Behavior– “The brain sends a signal for the diaphragm to contract downward”

• Function – “Lungs bring air into your body…”

Page 26: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Results: Visible SBF

• Visible SBF includes macrolevel phenomena involved with external respiration– Organ level such as airways, brain, diaphragm, heart, lungs,

muscles, ribs– No significant differences across conditions

Page 27: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Invisible SBF• Includes microlevel structures and phenomena

related to gas exchange, transport, and internal respiration– e.g. alveoli, blood, capillaries, cellular respiration, red blood

cells

• Rarely mentioned by novices in baseline study

N Invisible Structures

Invisible Behaviors

Invisible Functions

Structure -centered

2 7 3.04 (1.01)

1.00 (1.24)

2.07 (1.35)

Function -centered

2 5 3.96 (1.49)*

2.04 (1.69)*

2.92 (1.58)*

* p<.05

Page 28: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

RepTools Aquarium Tools

Page 29: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Function-centered Aquarium Hypermedia System

Page 30: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu
Page 31: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu
Page 32: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Simulations and Modeling• Allow learners to experience complex systems

phenomena• Simulations and models help focus learners on

function and behavior• Make invisible phenomena visible and open for

inspection• NetLogo as platform for model development

(Wilensky, 1999)– Agent-based modeling tool– High-threshold, low ceiling– Allow understanding of how local interactions contribute to system

behavior

Page 33: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

NetLogo Aquarium Model

Page 34: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Nitrification model

Page 35: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

In the Classroom• Providing scaffolding and sequencing that

help establish “why” questions• Mix of hands-on activities, hypermedia

resources, simulations, class discussions• Scaffolding needs to encourage mapping:

– Between real world and virtual world– Between different levels– Considering how models simplify the world

Page 36: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Research Context• Goal to support middle school science

instruction in domain of aquarium ecosystem• Units developed with two collaborating

teachers• 145 middle school students in 2 public schools

for about 2 weeks– 70 7th grade with Teacher A– 75 8th grade with Teacher B

• Both classrooms had physical aquaria and 1-2 laptops for each small group

Page 37: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Teaching Contexts• Both teachers experienced, considered

experts• Teacher A

– Used worksheets with open-ended questions– Expected homogeneous progress for whole class– Focus on content

• Teacher B– Inquiry-oriented norms for classroom– Scaffolded exploration by asking students to

observe and explain, open-ended questioning

Page 38: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Research Design

• Pre and post tests of SBF knowledge (Hmelo et al, 2007)

• Comparisons among classroom

• Qualitative analysis of enactments using Interaction Analysis (Jordan & Henderson, 1995)

Page 39: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Learning OutcomesTeacher Time Structure Behavior Function

A Pretest 8.53 (1.68) 4.11 (1.82) 4.50 (2.24)

Posttest* 9.66 (1.17) 5.69 (2.22) 9.13 (2.46)

B Pretest 9.32 (1.10) 4.91 (1.54) 7.10 (2.58)

Posttest* 9.88 (0.97) 7.11 (2.00) 10.53 (3.14)

Page 40: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Enactments

• Although both teachers showed significant gains, IA showed great differences in enactment

• Two areas– Creating opportunities for inquiry– Interpretation of computer models

Page 41: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Creating Opportunities for Inquiry:Teacher A: Adoption of Student Language

• Concentration on definitions of terms• Posed questions requiring one-word response to

class as whole• Questions aimed at reproducing declarative

knowledge• Adoption of student language to convey behavior of

structures• Results suggest student understanding was

scaffolded by connecting to prior knowledge as a way to explain new concepts

Page 42: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Adopting Student Language

• Teacher A: First of all you understand that certain things are living and certain things aren’t. Right? Is ammonia a living creature?

• Class: No!• Teacher A: It doesn’t grow, it doesn’t reproduce, it

doesn’t respond. How do I get more ammonia in the tank?

• Class: Pee• Teacher A: Pee. It’s not like its reproducing and

making more. You want more. You want more, you get more fish and more fish do what?

• Class: Pee!

Page 43: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Creating Opportunities for InquiryTeacher B:

Scientific Terminology and Inquiry Orientation

• Open-ended questions requiring explanations

• Promoted argumentation in student discourse

• Incorporation of new scientific terminology

Page 44: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Scientific Terminology and Process Inquiry

• Alexis: What would happen [if there were no fish]?• Courtney: Well first of all, uh, snails wouldn’t have anything to eat.• Ron: We’re not talking about snails.• Alexis: We’re talking about fish.• Courtney: But they need to have… they wouldn’t make the water dirty. So

then the fish wouldn’t have…• Ron: Alright, so they wouldn’t produce waste. We’re not talking about the

snails.• Alexis: I just think that there would be no point. What are we going to have

a plant farm in water?• Courtney; Basically, nothing would be able to work because the bacteria…• Jenn: Everything lives on fish.• Courtney: The fish produce ammonia, which bacteria makes less harmful

and snails keep the water clean by cleaning the waste and the algae. • Ron: OK, so fish are the basis of all this… ecosystem.

Page 45: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Interpretation of Computer Models:Teacher A: Technology for Instruction

• NetLogo as a teaching aid – Reinforce content knowledge

• Concern with student understanding of computer model as end in itself

• Homogeneous understanding

Page 46: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Technology Use to Provide Instruction

Teacher A: Let’s go over the key. Did you figure out what this is? Class: Yeah.Teacher A: What is it?Class: Plants.Teacher A: Brilliant, that’s a plant, you got that one. [Writes it on board] Did

you get the red dots?Class: Yeah.Teacher A: What’s that?Class: Ammonia.Teacher A: Very good. OK now I’m going to make it a little harder. White

dots?Class: Nitrite.Teacher A: Because what appeared first?Class: Ammonia.Teacher A: Red dots. And what appeared second?Class: White dots.

Page 47: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Interpretation of Computer Models:Teacher B: Technology as a Cognitive Tool

• Technology as cognitive tool– Affords inquiry– Science as a model building activity– Groups notice different aspects of model– Stimulate cognitive engagement

• Use of RepTools to foster deep understanding • Promotion of scientific inquiry• Co-construction of knowledge among group

members

Page 48: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Technology as a Cognitive Tool

Teacher B: …how are you going to know whether the blue boxes are snails, bacteria, what’s the other stuff you said, algae, stuff like that?

Courtney: I don’t think it’s bacteria because the red is ammonia and it’s not eating, it’s not getting rid of it.

Teacher B: How do you know that?Courtney: Because, um well, you can see the ammonia on top of it and it’s

not doing anything to it.Teacher B: Well it’s paused right now.Courtney: Well also because the ammonia is increasing and while these

things are increasing too it’s not decreasing the amount of ammonia. Teacher B: It’s not?Courtney: No, well that’s what I observed. Am I wrong?Teacher B: No, no.Ron: Say that again, Courtney…Courtney: I said, I think that the blue can’t be bacteria because bacteria eats

ammonia and while the blue is increasing the ammonia is still increasing too so if the blue was bacteria…

Page 49: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Discussion• A tale of two classrooms

– Different cultures– Different beliefs about learning and inquiry– Appropriation of tools consistent with beliefs

• Both teachers– Considered expert– Willing to take risks

• Despite differences, similar outcomes – Additional analysis to understand differences

Page 50: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Future Directions• Need to better understand learning processes

– Fine grained analysis of discourse (Liu, 2008)– Effects of teacher guidance (Marathe, in progress)

• More explicit guidance in SBF thinking– ACT (Aquarium Construction Tool) with colleagues

at Georgia Institute of Technology

Page 51: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

For More Information:

[email protected]

RepTools software available at: reptools.rutgers.edu

Page 52: Conceptual Representations for Learning about Complex Biological Systems: From Expertise to Instruction Cindy E. Hmelo-Silver Rutgers University cindy.hmelo-silver@gse.rutgers.edu

Challenges for Supporting Learning about Complex Systems

• Cognitive Challenges– Prior knowledge– Developmental level– Reasoning Strategies– Inquiry skills

• Metacognitive Challenges– Planning, monitoring, and evaluating one’s understanding

• Self-regulatory and motivational strategies may be lacking (Azevedo et a., 2005)

• Need for open-ended learning environments WITH scaffolding to help learners deal with complexity