In this book we have described how engaging children in scientific practice supports student learning in K-8 classrooms. The investigations in these classrooms typically unfold over several weeks or months. In pursuit of scientific answers, students engage in practices akin to those of real scientists, such as posing scientific questions, using data to examine complex phenomena, and generating explanations to account for their observations. These activities are often difficult even for professional scientists, who have access to complex social networks and well-resourced labs, let alone K-8 students. Yet there is compelling evidence that when classrooms function to support real scientific practice, students’ understanding of science can flourish.
Supporting student learning in regard to scientific investigations requires deliberate and consistent instructional efforts. Research shows that simply “doing” science activities often leaves students with an inaccurate sense of what science is and how it works. To build their science knowledge and skill across the strands—learning scientific explanations, generating scientific evidence, reflecting on scientific knowledge, and participating in the social processes of science—requires intentional, sustained instruction and support. In this chapter, we focus on the kind of support that teachers can provide students to enable them to learn from their own scientific investigations. We examine several practices that effective teachers, in collaboration with researchers, have developed to help students do science in a “minds on” way.
At the root of all science investigation are complex and compelling problems. In order for problems to be effective for supporting learning, they must be meaningful both from the standpoint of the discipline and from the standpoint of the
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learner. If a problem fails to connect to legitimate and fundamental scientific ideas,
it cannot be used to promote science learning. And if students fail to see the prob-
lem as meaningful, there is little chance that they will engage in the range of pro-
ductive scientific practices that result in science learning.
Scientifically meaningful problems are framed by core concepts, such as
biodiversity, the atomic-molecular theory of matter, and evolutionary theory, and
they typically focus on the smaller concepts within those core ideas. Scientifically
meaningful problems may be theoretical or practical. Theoretical problems are
framed in terms of basic scientific ideas: How can matter be transformed? Why
do objects lie at rest on the earth’s surface unless disturbed? Why are some spe-
cies successful while others fail?
Practical or applied problems engage students in solving real problems in
more immediate ways. For example, a unit on leverage and mechanical advantage
might challenge students to think about and explore how a child could raise an
adult off the ground using only a piece of 2 × 4 lumber as a lever and a cinder
block as a fulcrum. Students might also engage in the application of science to
broader societal issues. For example, they might explore the impact of an invasive
species on a local woodlot and consider how to intervene to preserve the health
of the local ecosystem. They might study the impact of a regional health problem,
such as childhood obesity or asthma, and build a strategy for educating the com-
munity about risk prevention and treatment.
In addition to being scientifically meaningful, investigations must be
meaningful to the person conducting the investigation. But what does it mean
for a problem to be meaningful to a K-8 student? A meaningful problem must
present an opportunity for something to be gained—practically or intellectu-
ally or both—from the investigation or outcome. In some cases, the benefits of
solving a problem are easily recognized. For example, in the lever and fulcrum
investigation, the problem posed and the resulting solution or outcome will
be fairly easy for students to identify and appreciate. Students may also relate
more easily to the curious phenomena they observe in their daily lives, such
as what causes an empty juice box to crunch up when you suck continuously
through a straw.
However, many concepts and problems worthy of investigation cannot be as
easily linked to students’ own experiences, their existing knowledge, or issues they
are familiar with and care about. In these cases, students may be less motivated
initially to find meaning in a problem, and they may need to know more about it
in order to become motivated to find that meaning. For example, many students
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may not immediately recognize the problem of the impact of an invasive species
on a local woodlot as one they should care about. They might require additional
information about why this problem should matter to them, such as having the
teacher illustrate the concept of interdependence in ecosystems—that is, show-
ing that all species, including humans, are linked and therefore the impact of an
invasive species has broad and important implications. In this way, a bridge is
built between what students do know and do care about and the problem they are
attempting to make a meaningful connection with. For example, a study of the
motion of light (a common topic in the K-8 curriculum) might require that stu-
dents first recognize that the motion of light is critical to understanding how tele-
scopes, eyes, and cameras function. Subsequent lessons on such topics as describ-
ing and modeling light motion with vector diagrams may then be presented in an
investigative context that students see as meaningful.
Sequencing Meaningful Instruction
In order for problems to continue to be meaningful throughout an investiga-
tion, careful thought must be given at the outset to how to sequence instruction.
Students will need to develop their ability to work on increasingly complex prob-
lems, including gradually acquiring knowledge of the concepts being studied and
the specific skills needed to carry out a given investigation. A common but limited
approach to sequencing investigations has been to teach the content related to the
investigation first, and afterward to do the investigation in order to validate the
content. This approach is counterproductive on a number of levels. First, it fails
to give students a clear idea of why a particular investigative strategy is being used
for that particular problem. It also emphasizes and promotes the false dichotomy
between scientific content and process, leaving students with the misconception
that scientific practice is algorithmic or procedural. Finally, it fails to recognize the
critical aspects of science identified in Strand 3 and Strand 4, namely, the impor-
tance of reflecting on one’s own scientific knowledge over the course of an investi-
gation and the role of peers in building scientific arguments.
A more productive approach is to intentionally build the appropriate sci-
entific knowledge and skills “just in time,” at strategic points throughout the
investigation. When presented at the point in the investigation at which they can
be applied, new ideas, as well as new investigative skills and techniques, will be
framed in a more meaningful context. In many cases, students will need quick
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access to some basic concepts in order to see a problem and investigation as mean-
ingful. Over time, they will require additional skills as the investigation advances:
they may need a method for collecting relevant data and then a method for ana-
lyzing the data. They will almost certainly need structured support in building the
logical links that help move them from data to scientific explanation, as well as
help them reflect on what they’ve learned in light of previous observations. Like
the problems themselves, these and other skills need to be made meaningful to stu-
dents, and presenting them in the context of a problem to which they can be read-
ily applied helps students understand their utility.
Recently researchers have developed very promising results from building
and testing science curriculum units that, from the outset, engage students with
problems they will investigate over the course of several weeks or months. These
units sequence lessons to gradually build students’ knowledge and skill over time
so that they arrive at each phase in an investigation prepared to engage in the nec-
essary work.
“Struggle for Survival” is a six- to seven-week classroom science investi-
gation that supports the learning of core evolutionary concepts. Developed as
part of the Biology Guided Inquiry Learning Environments (BGuILE) project at
Northwestern University, the unit is designed to support the learning of core con-
cepts in evolutionary biology.1 Using software that depicts a prolonged drought
on the Galapagos Island Daphne Major, students investigate how the drought
affects the animal and plant populations on the island. They learn background
information about the island, read through the field notes of researchers, and
examine quantitative data about the characteristics of the island’s species at vari-
ous times to look for changes in the populations.
The unit unfolds over four phases, which are sequenced to gradually
increase the demands of the learning experiences and the sophistication of stu-
dents’ reasoning about core concepts. The students are presented with a prob-
lem at the beginning of the unit—the finch population on the island has declined
precipitously. Their job is to examine a range of evidence to determine what
has caused this decline. Within this framework, students engage in a study of the
problem over a period of approximately six weeks to advance their understanding
through reading, posing questions, data analysis, presentation, and debate.
The first phase (10 classes) sets the stage by probing students’ existing
knowledge of natural selection, by providing requisite background knowledge
about ecosystems and the theory of natural selection, and by building student
motivation. In the second phase (five classes), students learn about the Galapagos
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Islands and the methods scientists use to study ecosystems. They generate initial
hypotheses, work with a small data set, and learn about the computer system they
will use in the major investigation. These first two phases of the investigation
illustrate how foundational knowledge is built on in the context of an investiga-
tion. Although from the very beginning students are presented with the challenge
of explaining a shift in finch population, they do not dive immediately into col-
lecting and analyzing data. Instead, they begin by building their understanding of
the specifics of the case and key principles of biological evolution.
Only after completing these initial 15 lessons do the students begin to work
with the natural selection data set. Having immersed themselves in the problem
and having built the theoretical knowledge and skills they will need to advance the
investigation, they begin the third phase of the unit (10 classes). In this phase, stu-
dents explore the data set, generate explanations for observed patterns of change
in the finch populations, and critique
Sequencing a Unit on Natural Selection
the explanations of their classmates.
Four Phases of Learning
In the fourth phase (six classes), student
teams prepare reports, present findings,
Phase 1 General Staging Activities
and analyze key points of agreement
Determine what students know, provide background
knowledge, build student motivation (10 classes). and disagreement across reports.
Carefully sequenced experiences
Phase 2 Background for Investigations
such as these provide a road map for
Gather information, generate initial hypotheses,
students, and they build just-in-time
work with small data set (five classes).
skills and knowledge that allow them
Phase 3 Software Investigations
to work through complex problems
Investigate data, generate and critique explanations
for which their knowledge and skill
for observations (10 classes).
have immediate application. Students
Phase 4 Presenting and Discussing Findings
experience important elements of sci-
Prepare reports, present findings, analyze key points
entific practice as they wrestle with
(six classes).
evidence, consider different ways
of looking at phenomena and interpreting evidence, and work collectively to
determine what they understand and which interpretations they find compelling.
Students are not sent off on an unguided exploration of a phenomenon or ques-
tion but are presented with intentionally sequenced and supported experiences
framed in a sustained investigation of a central problem. This allows them to
build knowledge about core aspects of biological evolution while building their
skills and ability to work with data, learn with their peers, and present argu-
ments using scientific language conventions.
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Constructing and
Defending Explanations
The science curriculum in most school systems focuses narrowly on “final form
science”—the collection of scientific findings that populate textbooks. When
students are given opportunities to “do” science, these experiences are often pre-
sented as experiments with predetermined steps and findings. In other instances,
science investigations take the form of
“activity mania” in which students com-
plete activities that lack purpose and
input from teachers.
Productive investigations are
not sequentially scripted. Nor are they
unguided. They do not simply unfold
when students are given materials and
opportunities to work on scientific prob-
lems. Rather, they are structured and
regulated by the teacher, who plays an
active role in the investigative experi-
ence. In order for investigations to be
successful, teachers must work to make
student activity purposeful, to build
social interaction that supports cognitive
processes, and to focus their efforts on
pushing students’ thinking about sci-
ence toward increasingly sophisticated
levels. Teachers and researchers have found ways to structure and script aspects
of scientific investigations so that, over time, students gradually acquire scientific
modes of thinking and interacting, drawing on these to learn science. They have
also found promising ways to teach students fundamental practices for developing
scientific explanations, as well as ways to integrate these practices into students’
ongoing work.
We have discussed a science unit from the BGuILE project called Struggle
for Survival. It is drawn from a research and design initiative called Investigating
and Questioning Our World through Science and Technology (IQWST). The goal
of IQWST is to design middle school science curricula that support the scientific
practices of explanation and argument as learners engage in project-based inves-
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tigations.2 The IQWST units are designed to teach both scientific principles and
the scientific practices of constructing and defending explanations by providing
students and teachers with a framework that clearly defines this complex practice.
The framework includes three components:
• Claim: What happened, and why did it happen?
• Evidence: What information or data support the claim?
• Reasoning: What justification shows why the data count as evidence to
support the claim?
Thus, the curriculum helps students make sense of the phenomena under
study (claim), articulate that understanding (evidence), and defend that under-
standing to their peers (reasoning).
As described earlier, part of the Struggle for Survival unit includes a two-
week project in which students investigate a database holding information about
the finch population on the Galapagos Islands. Students work in pairs in order to
interpret the computer data and determine why so many finches died during the
dry season of 1977 and why some were able to survive. The scientifically sup-
ported explanations for this question use data to identify which trait variations
enabled birds to differentially survive the drought. For example, one response
could state that the birds that survived the drought had longer beaks, which
enabled them to crack the harder seeds that also survived the drought. Another
plausible argument consistent with the data (but scientifically less accurate) could
be that the birds that weighed more had fat stores that made them better able to
survive the food shortage resulting from the drought.
Below is an excerpt from a student group presentation in which students use
the claim-evidence-reasoning framework to reflect on their analysis and explain
their current thinking about the investigation.
Evan: “Again, the question we had through this entire project, which
does not have one simple answer, is: in 1977, why did 40 percent
of the finch population die in Daphne Major in the Galapagos
Islands, and why did the ones that survive, survive? This is our
report. I’m Evan, this is Leona, and this is Nelly. Here we go.”
Leona: [Reading from a poster] “We have a few theories. In conclud-
ing our research concerning the study of finches on the island,
our focus is to find out why the population of finches on that
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island dropped dramatically in 1977. We believe the cause of the
decrease in the population began with the change in the weather
situation in Daphne Major. In 1977 we saw that there was an
amazing lack of rainfall compared with the year before (1976).
Here is the graph that shows the years and the different changes.
[She points to the graph.] There were 167 centimeters of rainfall
in the wet season of 1976, but there were only 20 centimeters of
rainfall in the wet season of 1977. The lack of rainfall caused
a decrease in plant life, because of the fact that all plant life,
including cactus, lives off water or rainfall.
For example, in the dry season of 1976 there were 130 por-
tulaca seeds on the island, but in the dry season of 1977, when
there was absolutely no rain, there were no portulaca seeds
whatsoever. This is the chart that shows that in the wet season
in 1977 there were 20 portulaca seeds, in the dry season in 1977
there were none, and then it increased in the wet season of 1978
and went back up to 380 seeds.”
Evan: “After I finish reading, I’m going to quickly explain a little bit
about the chart we made. What we did next was, we circled
all of the finches in both groups: the overweight group and the
underweight group that survived. We determined that approxi-
mately 61 percent, or 14 out of 23, overweight finches survived
the drought, while only 40 percent, or 9 out of 23, underweight
finches survived the drought. Also, we noticed that the over-
weight finches tended to be male, and the underweight finches
tended to be female.”
Nelly: “Here are the groups; we circled the overweight ones, 14 that are
circled, and these are all male. And these are all female, there’s 9
circled, and they are underweight.”
We can see the claim-evidence-reasoning framework in Leona’s portion of
the presentation. As she explains, the group claims that rainfall caused the finch
population decline. They provide a record of annual rainfall as evidence of that
claim. And they continue by reasoning that plants require rainfall to thrive and
that finches require plants as a food source for their survival. At this point in the
investigation, Leona and her peers have not yet hit on the most strongly supported
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explanation for the finch population decline. However, the unit is not yet complete,
and they and their classmates have developed an informed scientific way of work-
ing on, representing, and analyzing the scientific problem. As they continue to
examine the data and build their scientific skills, they are well prepared to con-
tinue to learn from the investigation.
Scripting Student Roles
Another way that teachers can structure and focus students’ thinking while they
engage in scientific investigations is to define and assign particular roles for stu-
dents to play during portions of the investigation. When scientists meet to dis-
cuss their work and exchange ideas, they work in a milieu of shared beliefs and
goals that regulate participation. They ask questions of one another, critique
ideas, and hold each other accountable according to a set of agreed on, but typ-
ically unspoken, cultural conventions. Classroom communities rely on a similar
set of beliefs, goals, and modes of participation in order to learn from scientific
investigations. However, without extensive scientific training and experience in
scientific communities, students need more explicit guidance and structuring
to interact in ways that are scientifically productive and support their learning
from investigations.
The scientific community reaches consensus by proposing and arguing about
ideas through both written and verbal communication. This allows scientists a
means by which to test their ideas with other scientists, who in turn provide them
with feedback. In this way, the scientific community reaches a consensual under-
standing of how some aspects of the natural world work. A very similar practice
takes place in effective science classrooms. Students ask questions, talk and write
about problems, argue about models, and eventually come to a more nuanced and
scientifically accepted understanding of natural phenomena. This kind of interac-
tion, which is both social and cognitive, not only supports learning but also com-
municates how scientific knowledge is created.
As we discussed in Chapter 5, talk in the classroom can be academically
productive in a general way and also in a way specific to science and scientific
ideas and practices. The learning that results from hands-on science investigations
in particular is dramatically improved when students present their ideas and argu-
ments to their peers. In these instances, verbal communication among students is
conducive to learning in general, but it also gives them experience with a uniquely
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science-oriented practice. For example, when students debate the value of a given
scientific observation, this is analogous to what scientists in the real world do
regularly. Yet most students have very little experience talking and thinking with
their peers in the manner in which they are expected to during investigations. In
fact, typical classroom experiences suggest a different dynamic—one in which
textbooks and teachers are consulted for answers, rather than peers and data.
Argumentation among students is rarely a sanctioned activity and is often experi-
enced as acrimonious.
To help students learn appropriate ways of interacting during science inves-
tigations, educators have developed methods for helping them acquire new social
roles and collectively building norms for interaction in ways that emulate the
interactions of scientists. Educators can establish such norms by intentionally
mirroring the social interaction model of questioning, listening, reflecting, and
responding that scientists use in their exchanges with each other, as well as by
assigning roles based on basic elements of this interaction. This approach has its
roots in the reciprocal teaching approach to reading comprehension, which makes
the process of comprehension explicit for learners.3 In reciprocal teaching of read-
ing comprehension, teachers model the important elements of comprehension,
such as predicting, summarizing, and questioning. Students then begin to take on
the individual elements of the task. The task is essentially distributed among stu-
dents, who share responsibility for its completion.
In the following case study, we look closely at a fifth-grade classroom in
which learners are taught and assigned particular roles to play during an investi-
gation. These roles are designed to emulate a range of intellectual and social prac-
tices that would seem more or less natural to the seasoned scientist. Note that in
this case study the word “theory” is used to refer to students’ explanations rather
than to formal scientific theories, such as evolution or plate tectonics.
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Science Class
DIFFERENTIATING MASS AND DENSITY4
For the past month, Clarence Wilson, a fifth-grade and floating experiments, using the dots-and-boxes
teacher in a public school in the South Bronx, has model of density (see Figure 7-2).
been working with colleagues to develop a unit on In carrying out simulated experiments such as
mass and density. The unit combines exploration of these, Mr. Wilson’s students were free to specify
the real-world phenomena related to sinking and the material they wanted the object and liquid to
floating with a conceptual model of density that was be made of, and they could then gather data from
developed and implemented on a computer. They their experiments. The size of the objects was held
used a software program called Modeling with Dots, constant in these simulations to help students focus
which introduced the students to a “dots-and-boxes” on density as the variable. Students were challenged
model of density (see Figure 7-1). to discover the rule the computer used to determine
According to the model, each box represents a whether the object would float or sink in a given
standard unit of volume (a size unit, or su), while liquid—a rule, consistent with reality, that was based
each dot represented a mass unit (mu). The number on the relative densities of the object and the liquid.
of dots per box represented the density (mu/su). In Figure 7-2, the object floats. The relative den-
Thus, both of the objects shown were the same size: sities of the material to the liquid are 1:3, and one-
8 boxes, or 8 su. The object on the left weighed 24 third of the object sinks into the liquid.
mass units, while the object on the right, at 40 mass The unit was intended to last for about 15
units, was heavier. The density of the object on the classroom sessions. The students engaged in some
right was greater (5 mu/su versus 3 mu/su). preliminary baseline activities that involved making
Using another type of software called Archimedes, predictions about 16 everyday objects, including
the students were able to perform simulated sinking a plastic spoon, an apple, and a piece of graphite.
Data
24 mass units 40 mass units
Data
24 8 size units
mass units 40 mass units 1/3 of object is in the liquid
8 size units
1/3 of object is in the liquid
8 3 mu/su
size units 8 size units
5 mu/su Object Liquid
3 mu/su 5 mu/su Object Liquid
Mass Mass
Mass
12 muMass 120 mu
12 mu 120 mu
Size
Size Size
Size
40 su
12 su 40 su
12 su
Density Density
Density Density
1 mu/su 1 mu/su
3 mu/su 3 mu/su
FIGuRE 7-1 FIGuRE 7-2
Two objects represented by the grid-and-dots model with Grid-and-dots representation of an object floating in a
fig fig 7-1
7-1
data display. fig 7-2
liquid with data display.
fig 7-2
R00910
R00910
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They predicted whether the objects would sink or and off the computer) in exploring thermal expan-
float, shared their predictions and rationale, tested sion—why it is that heated alcohol takes up more
their predictions, recorded the results, and wrote space but weighs the same and has decreased density.
reports that they shared with the class. They also explored why certain objects sank in hot
The students were assigned rotating procedural water but floated in cold water.
roles, such as reporter, scribe, and poster designer. At the beginning of the investigation, Mr.
Working in small groups, they moved through Wilson decided to try something new—assigning
a series of stations in which they were asked to roles for student audience members whenever a
order a set of objects, first by mass and then by student group presented its findings. He hoped
volume, make predictions about sinking or float- that this would help promote productive discussion
ing, test their predictions, record the results, and and participation during student reports. This pre-
prepare a report for the class. The objects used in sentation time often had become more of a con-
the different stations were large and small cylin- versation between the presenting group members
ders, large and small cubes, and a set of spheres and Mr. Wilson, rather than involving the whole
made of wood, Lucite, recycled plastic, and alumi- class as intended.
num. A different subset of these items was used at The students in the audience were assigned, on
each different station. a rotating basis, one of three audience roles: check-
Following this period of exploration, predicting, ing predictions and theories, checking summaries of
and theorizing, the students were introduced to the results, and assessing the relationship among predic-
dots-and-boxes model of mass, volume, and density. tions, theories, and results. These three roles were
They worked on computers to explore and then apply designed to help give guidance to the students as
a dots-and-boxes model of density to several differ- they explored, through talk, three important intel-
ent objects, some real and some imagined. They then lectual practices in science: predicting and theoriz-
revisited their earlier work, using the dots-and-boxes ing, summarizing results, and relating predictions
model, to explain their sinking and floating results and theories to results (sometimes referred to as
with real objects. Finally, they applied the model (on coordinating theory and evidence).
StudENt AudIENCE INtELLECtuAL PRACtICES
RoLeS In ScIence
1. Checking predictions and theories Predicting and theorizing
2. Checking summaries of results Summarizing results
3. Assessing the relation between Relating predictions and theories to results
predictions, theories, and results
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Mr. Wilson suspected that playing audience roles The point of the theory chart was to reinforce
effectively would be challenging for his students, so the notion that science involves a process of revis-
he created several strategies for providing support. ing thinking over time as new evidence arises. Mr.
After introducing the roles, the class made a “ques- Wilson had decided that this theory chart would also
tion chart” that provided appropriate sample ques- help him challenge the prevalent idea among his
tions for each of the student audience roles. For students (and many others) that the object of doing
the first role, checking predictions and theories, the science is to “get the right answer.” The theory chart
questions on the chart read: helped make public the way in which the students’
collective thinking was changing over time. What fol-
“What were some of your predictions?”
lows is an excerpt from one of Mr. Wilson’s classes in
which students use audience roles effectively.
“Can you support your prediction with a theory?”
Mr. Wilson: “Does anybody have a theory
“Is your theory intelligible, plausible, and fruitful?”
about the wood? For instance, why the wood
floats? Why did you predict that the wood
Intelligibility, plausibility, and fruitfulness were
would float?”
terms that Mr. Wilson had been working on with his
students all year.
Deana: “Because I’ve seen it float.”
For the second role, checking summaries of
results, the student might ask: Mr. Wilson: “So are you saying that just hav-
ing seen something do something before is
“I’m not completely clear on what you found. Can
a reason, an explanation of why something
you explain your evidence more clearly?”
would sink or float?”
For the third role, relating predictions, theories, Deana: “I think it is.”
and results, the questions read:
Mr. Wilson: “You think it is? Can you say
“Did you find what you originally predicted?” more about that?”
“Did your results support your theory?” Deana: “Because if you’ve seen it before,
then it’s a theory.”
“What evidence do you have that supports or
challenges your theory?” Jody: “Wait, but didn’t we sort of decide
that our experience is a good way of helping
At the beginning of the unit, the students relied us make predictions, but it doesn’t explain
heavily on the question chart in performing their why something happens?” [Christina waves
audience roles. They also had a difficult time, at first, her hand.]
distinguishing between predictions and theories. To
Mr. Wilson: “Christina, do you have some-
address this, Mr. Wilson created a public “theory chart”
thing to add?”
that kept track of the different theories posed over
time, with periodic review of theories occurring when
Christina: “Well, I sort of disagree with Deana,
students decided that some theories could be ruled out
because a theory’s kind of different from a
on the basis of the results from different groups.
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prediction. A theory is why something hap- Caleb: “My theory is that you can trap air
pened. It’s not just a guess or a prediction.” underneath the wood.”
Caleb: “I know what a theory is. A theory is [Mr. Wilson notes Caleb’s theory on the theo-
like ‘all wood floats.’ That means all wood ry chart.]
has to float or else your theory is wrong.”
Elinor: “Your theory isn’t really [she looks at
Mr. Wilson: “Okay, so let me see if I’ve got the question chart] intelligible to me. I don’t
what you’re saying. You’re saying that ‘all completely get what you mean by ‘wood
wood floats’ is a theory?” traps air underneath it.’ [She looks at the
question chart again.] Actually, it’s not really
Caleb: “Yep, a theory that’s been proven
plausible to me either. I mean how would
right.”
wood trap air underneath it? It’s not like
a cup or anything, so how would wood do
Mr. Wilson: “Does that tell me why wood
that? Do you have any evidence to support
floats though?”
that theory? Did you see air bubbles? Or did
Caleb: “Uh, not really.” you just come up with that theory from your
mind?”
Mr. Wilson: “Okay, so can you give me an
example? Let’s take wood. Some of us have Caleb: [Smiling] “I just sort of flashed on it.
seen in our experiments that wood floats. But I like it. I mean it might have something
We have evidence that wood floats. But why to do with air.”
does wood float? What makes it float? Can
you give us a theory?”
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This is an example of how teachers can intentionally structure student
roles to focus student thinking and discussion on meaningful aspects of scientific
investigation. Over a series of lessons these students practiced taking “roles” and
learned to understand them in two ways. Initially, they learned to play proce-
dural roles, which provided a framework for getting their group work done. (It is
important to note that these were generic roles and not tied to specific scientific
practices.) However, in addition to structuring their group tasks in a produc-
tive manner, the procedural roles gave the students some experience in playing
assigned roles and engaging in interdependent tasks. Later, the students were
assigned one of three audience roles. On a rotating basis, students would listen to
their peers present and ask questions in order to check predictions and theories,
check summaries of results, and assess the relation between predictions, theories,
and results. In this case, the students played scientific roles. The science-specific
audience roles were further defined—and students’ efforts to enact them aided—
by a public display identifying examples of appropriate role-specific questions.
In the case of Mr. Wilson’s class, we saw students playing these roles in the
context of a presentation. Christina pushed Deana to add an explanation to her
prediction (Role 1, checking predictions and theories). Later, as Caleb asserted
that “all wood floats,” Elinor consulted the chart and found language to appropri-
ately challenge his assertion, which she saw as implausible. With the support of a
teacher who listens to their ideas and peers who understand how to play meaning-
ful roles in scientific discussion, the students successfully work on clarifying, sup-
porting, and refining their ideas.
Scripting roles and framing science in an explanatory framework are but two of
many ways in which creative teachers can intentionally and explicitly teach and sup-
port students to enact and make meaning of scientific investigations. We’ve chosen
to discuss these particular strategies because they’ve been studied more extensively
than other approaches and suggest promising results. Other ways teachers may make
particular talk moves explicit include posting “talk stems,” such as, “I agree with X
when he says Y, because [cite evidence]” or “I’d like to ask X to explain his thinking
[evidence, model, theory, etc.] in more detail because I didn’t completely understand
it.” They may also use methods such as position-driven discussions, in which stu-
dents take particular positions (e.g., competing explanations for an observed phenom-
enon) and make a case for their position and build on peers’ challenges to their posi-
tion, all before a demonstration is run and an outcome determined. There are many
ways to invite students to engage in scientific discourse as legitimate participants,
even before they have become totally competent at scientific investigation.
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Science Class
LOOKING AT OuR SCIENTIFIC THINKING
Scientific investigations can take place over months and years in the K-8 grades, and when they are effective they
can result in dramatic changes in the ways that students think about the topics they are studying, about their own
thinking and learning, and about the enterprise of science. By actually looking at how their own thinking about a
phenomenon has changed and developed, students see learning in action. In other words, they come to understand
what it actually means to learn something—an understanding that is called for in Strand 3.
Like much of science learning, this kind of understanding will not evolve without intentional support from
teachers and instructional materials. Reflecting on one’s own scientific knowledge is critical to the enterprise
of science and science learning. Scientists integrate new knowledge gained through investigations only when
that knowledge is examined in relation to what they already know, tentatively believe, or previously doubted.
Children, like scientists, must learn to examine the history of their own thinking and revise it if necessary, in light
of subsequent investigations.
To examine how effective teachers can teach students to reflect on their changing knowledge in this way, we visit the
classroom of Sister Mary Gertrude Hennessey, a science teacher for grades 1-6 in a small, rural elementary school.
Sr. Hennessey understands that in order to reflect on knowledge over time, children require extended opportunities
to work on critical scientific concepts. She systematically focuses her lessons on core ideas built cumulatively across
the grades. She enables her students to think deeply about knowledge in two important ways: she guides them
in thinking and talking about how the scientific community structures and develops knowledge, and she helps her
students think deeply about their own thinking, or how to be “metacognitive.”
Research has shown that Sr. Hennessey’s sixth-grade students have a much better understanding of the nature of
science than sixth graders from a comparable school. The table below shows the way both her role and her stu-
dents’ roles change from first grade through sixth grade.
Here’s a look at Sr. Hennessey and her students in One student, Brianna, is called on to explain her
action:5 predictions.
During a classroom demonstration in Sr. Sr. Hennessey: “Would anyone like to predict
Hennessey’s first-grade classroom, a large, transpar- what he or she thinks will happen to these
ent container of water is placed on an overhead stones? Yes, Brianna?”
projector. Students are asked to predict what they
Brianna: “I think both stones will sink,
think will happen when various objects are placed
because I know stones sink. I’ve seen lots of
in the water. The objects in question are two
stones sink, and every time I throw a stone
stones—a small (2-centimeter diameter) granite
into the water, it always sinks.”
stone, and a large (10-centimeter diameter) pumice
stone. The students did not have the opportunity Sr. Hennessey: “You look like you want to say
to handle the stones prior to the demonstration. something else.”
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INCREASINgLy SoPhIStICAtEd MEtACogNItIoN
fRom GRadeS 1 ThRouGh 6 6
gRAdE StudENtS’ RoLE tEAChER’S RoLE
1 • Explicitly state their own views about the • Finds a variety of ways in which students can
topic under consideration externally represent their thinking about the
topic
• Begin to consider the reasoning used to
support their views • Provides many experiences for students to
begin to articulate the reasoning used to
• Begin to differentiate what they think from
support ideas/beliefs
why they think it
2 • Begin to address the necessity of understand- • Continues to provide an educational environ-
ing other (usually peer) positions before they ment in which students can safely express their
can discuss or comment on those positions thoughts without reproaches from others
• Toward the end of the year, begin to recog- • Introduces concept of consistency of thinking
nize inconsistency in the thoughts of others
• Models consistent and inconsistent thinking
but not necessarily in their own thinking
(students can readily point out when teacher
is being inconsistent)
3 • Explore the idea that thoughts have • Fosters metacognitive discourse among learn-
consequences and that what one thinks may ers in order to illuminate students’ internal
influence what one chooses to see representations
• Begin to differentiate understanding what a • Provides lots of examples from their personal
peer is saying from believing what a peer is work (which is saved from year to year) of
saying student ideas
• Begin to comment on how their current ideas
have changed from past ideas and to consider
that current ideas may also need to be revised
over time
4-6 • Begin to consider the implications and • Provides historical examples of very
limitations of their personal thinking important people changing their views
and explanations over time
• Begin to look for ways of revising their
personal thinking • Begins to use students’ external representa-
tions of their thinking as a way of evaluating
• Begin to evaluate their own/others’ thinking
their ideas/beliefs (in terms of intelligibility,
in terms of intelligibility, plausibility, and
plausibility, and fruitfulness) in order to (a)
fruitfulness of ideas
create, when necessary, dissatisfaction in the
• Continue to articulate criteria for acceptance mind of the learner to facilitate conceptual
of ideas (i.e., consistency and generalizability) exchange or (b) look for ways of promoting
conceptual change in the mind of the learner
• Continue to employ physical representations
of their thinking
• Begin to employ analogies and metaphors,
discuss their explicit use, and differentiate
physical models from conceptual models
• Articulate and defend ideas about “what
learning should be like”
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Brianna: “The water can’t hold up stones like it about stones. For example, she says, “The water
holds up boats, so I know the stones will sink.” can’t hold up stones like it holds up boats. I know
the stones will sink.”
Sr. Hennessey: “You sound so sure, let me try
Brianna also insists on two separate occasions
another object.”
that Sr. Hennessey test her prediction by saying,
“You have to test my ideas first,” and “You have to
Brianna: “No, you have to throw it in, you
test the big one, too, because if the little one sunk,
have to test my idea first.”
the big one’s going to sink, too.” It is important to
[Sr. Hennessey places a small stone in the note that Brianna asks her teacher to test her predic-
tank; it sinks.] tion as opposed to asking her merely to test what
happens with the stone; Brianna is consciously aware
Brianna: “See, I told you it would sink.”
that understanding her own thinking is the object of
the demonstration.
[Sr. Hennessey puts aside a larger stone and
Brianna’s reaction to having the larger stone
picks up another object.]
float indicates that she is aware that the outcome
Brianna: “No, you have to test the big one, is anomalous, and that this anomaly is inconsistent
too, because if the little one sunk, the big with her current view of both water and stones.
one’s going to sink, too.” “No! No!” she says. “That doesn’t go with my
mind.” Her comment also shows that she is think-
[Sr. Hennessey places the larger stone in the
ing about her own scientific thinking; she is being
tank and it floats.]
metacognitive.
Brianna: “No! No!” [Brianna shakes her The level of thinking about scientific thinking
head.] “That doesn‘t go with my mind. That grows more sophisticated over time. Here’s another
just doesn’t go with my mind.” scenario involving Sr. Hennessey and one of her
sixth-grade students.
During the activity described above, Brianna is
Jill wrote an essay as part of the assessment pro-
involved in a form of introspection in which she
cess in her physics class. Her assigned task was to
is processing and interpreting both past and pres-
focus on “the element of change” in her thinking.
ent experience. For example, when Brianna says,
The following questions were posed:
“I think both stones will sink. . . . I’ve seen lots of
• Do you think your ideas about force or forces
stones sink, and every time I throw a stone in the
water . . . it always sinks,” she reveals her current acting on various objects have changed?
thinking about how that particular stone will behave
• If so, in what way have your ideas changed?
in the water, based on her past experience with how
Why do you think your ideas have changed?
stones have behaved in water.
As the discussion continues, Brianna reveals her Here’s what Jill wrote:
beliefs about the nature of water. She uses her
beliefs about water to support her current beliefs
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In the past I thought for instance the BOOK ON THE TABLE had
only 1 force, and that force was gravity. I couldn’t see that something that
wasn’t living could push back. I thought that this push back force wasn’t a
real force but just an in the way force or an outside influence on the book.
However, my ideas have changed since the beginning of this year. Sr.
Hennessey helped me to see the difference between the macroscopic level
and the microscopic level. That was last year. But I never really thought
about the difference very much.
This year, I began to think about the book on the table differently than
[last school year] I was thinking on the macroscopic level and not on the
microscopic level. This year I wasn’t looking at the table from the same per-
spective as last year. Last year I was looking at living beings as the impor-
tant focus and now I am looking at the molecules as being the important
focus. When I finally got my thoughts worked out, I could see things from
a different perspective. I found out that I had no trouble thinking about two
balanced forces instead of just gravity working on the book. It took me a
whole YEAR to figure this concept out!!! Now I know it was worth THE
YEAR to figure it out because now I can see balanced forces everywhere!
Balanced forces are needed to produce constant velocity. The book on
the table has a velocity of zero; that means it has a steady pace of zero.
Why, Sr. Hennessey asked, did my ideas change? I think my ideas changed
because I have expanded my mind to more complicated ideas! Like mol-
ecules in a table can have an effect on a book, that balanced forces and
unbalanced forces are a better way of explaining the cause of motion, and
that constant velocity and changing velocity are important things to look at
when describing motion.
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In her essay, Jill was able to examine both her past and current thinking.
Moreover, she acknowledged that the construction of her thinking took a significant
amount of time. The essay also reveals Jill’s belief about the nature of molecules
(they can cause an effect) and her belief about the nature of an explanation (some
explanations are better and are more important than others). In the first sentence,
Jill merely reveals her past understanding of the forces acting on a book on a table.
In the next sentences, she reveals her beliefs about the nature of living and nonliv-
ing objects and to some extent the nature of forces. Jill explicitly states that she was
aware that her ideas had changed over time, and she offered a causal explanation
for the change in her thinking. She acknowledges that she was aware of a shift in
the focus of her thinking as well as a change in her thinking. Jill illustrates that she
can generalize and apply her current understanding to new situations.
Jill also displays an impressive understanding of what physicists call kinet-
ics, a set of concepts dealing with the action of forces producing or changing
the motion of a body. This understanding is critical. Students may be able to
question and monitor their ideas, but if their knowledge is not thorough and
well structured enough to evaluate those ideas, it won’t do them any good.
Metacognition, in and of itself, is not helpful without good cognition to be
“meta” or reflective about.
What’s notable in Sr. Hennessey’s teaching is a strategic combination of support
for students to think about the nature of scientific thinking (their own and others)
linked to rigorous investigations that produce deep learning of scientific concepts.
Examples such as these shed light on the nature and range of students’ abili-
ties to think about scientific knowledge, how it is constructed, and how complex
and certain it is. These abilities are not all or nothing; rather, they exist on a contin-
uum of engagement and elaboration: Brianna is a beginner to the process, whereas
Jill demonstrates a high level of engagement in thinking about scientific thinking.
How, one might ask, did Sr. Hennessey accomplish such remarkable results?
What was it about her teaching and her classroom environment that contributed
to the tremendous growth in her students’ understanding of how knowledge is
constructed in science? Here are some of the methods she uses. Notice all the dif-
ferent ways that talking about thinking and making thinking public play a role.
As Sr. Hennessey makes clear in her classroom, science is not only a body
of knowledge but also a way of knowing. All science education practitioners, stu-
dents, teachers, and even parents need to understand the nature and structure of
scientific knowledge and the processes by which it is developed, not just the body
of knowledge produced by science. They need to know how we know and why
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Strategies for Teaching How to Construct we believe scientific knowledge, not just
Scientific Knowledge what we know.
In science classrooms that include
Focus
a strong component of metacognition,
1. Teaching for conceptual change
activities are introduced to make students
- making students aware of their initial ideas aware of their initial ideas and to demon-
- encouraging students to engage in metacognitive strate that a conceptual problem may need
discourse about ideas to be solved. A variety of techniques may
- employing bridging analogies and anchors to help be useful in this regard. Students may be
them consider and manipulate ideas asked to make predictions about an event
- encouraging them to apply new understandings in and give reasons for those predictions.
different contexts Class discussion of the range of student
- providing time for students to discuss the nature of predictions can emphasize alternative ways
learning and the nature of science of thinking about a phenomenon, which
can highlight the conceptual element of
2. Promoting metacognitive understanding
the analysis. In addition, gathering data
3. Engaging students with deep domain-specific core that expose students to unexpected dis-
concepts
crepancies or posing challenging problems
that students may not immediately solve
Pedagogical Practices
are ways of prompting students to stop
• Helping students understand, test, and revise ideas
and think, stepping outside their normal
• conceptual framework in order to under-
Establishing a classroom community that negotiates
meaning and builds knowledge stand what is happening.
Regular time for reflection, note tak-
• Increasing students’ responsibility for directing
ing, or public chart making to track ideas
important aspects of their own inquiry
as they change over time is another critical
student roles component of metacognition. Researchers
have documented that children often repeat
• Taking responsibility for representing ideas
experiments or interpret current results
• Working to develop ideas
without connecting those results to prior
• hypotheses. Students need regular oppor-
Monitoring the status of ideas
tunities to reflect on science. Reflection
• Considering the reasoning underlying specific beliefs
helps students monitor their own under-
• Deciding on ways to test specific beliefs standing and track the progress of their
investigations. It also helps them identify
• Assessing the consistency among ideas
problems with their current plans, rethink
• Examining how well these ideas extend to new situations plans, and keep track of pending goals.
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Thus, multiple approaches are needed in order for students to develop the
ability to think about scientific thinking.
i
Classroom investigations can be an exciting way for students to develop a
strong grasp of science content, the practices of scientific work, and the nature
of science itself. However, investigations in current practice are typically not well
suited to support student learning.
An effective science education system must reflect a rich, practice-based
notion of science. This means rethinking what counts as science in order to better
incorporate the strands of science learning. Investigations need not and should not
be sequentially scripted, superficial experiences with predetermined outcomes, nor
should they be chaotic, unstructured explorations that yield little in the way of real
understanding. Effective investigations should be organized, structured activities that
guide students in using scientific methods to work on meaningful problems.
Investigations that support student learning require teachers who understand
how scientific problems evolve, and teachers themselves will need to have first-
hand experiences akin to those they create for their students. Schools, universities,
foundations, science centers, museums, and government agencies must find ways
for teachers to have these experiences, building their knowledge and comfort with
science practice in order to create an effective environment for student learning.
For Further Reading
Herrenkohl, L.R., and Guerra, M.R. (1998). Participant structures, scientific discourse, and
student engagement in fourth grade. Cognition and Instruction, 16(4), 431-473.
McNeill, K.L., Lizotte, D.J., Krajcik, J., and Marx, R.W. (2006). Supporting students’
construction of scientific explanations by fading scaffolds in instructional materials.
Journal of the Learning Sciences, 15(2), 153-191.
National Research Council. (2007). Teaching science as practice. Chapter 9 in
Committee on Science Learning, Kindergarten Through Eighth Grade, Taking science to
school: Learning and teaching science in grades K-8 (pp. 251-295). R.A. Duschl, H.A.
Schweingruber, and A.W. Shouse (Eds.). Center for Education, Division of Behavioral
and Social Sciences and Education. Washington, DC: The National Academies Press.
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8
A System That Supports Science Learning
Understanding what it takes to teach and learn science effectively is very different
today than it was 20 or 30 years ago. We now know that young children bring a
strong foundation of knowledge and skills to school with them, including knowl-
edge of the natural world, the ability to engage in complex reasoning about the
natural world, a basic understanding of data sets, competing ideas about different
science concepts, and the ability to apply their own thinking to a particular scien-
tific domain as it evolves over time. They also have the ability to work collabora-
tively with classmates and teachers in ways that approximate practices in the sci-
entific community: posing informed questions, representing ideas to one another
using a range of methods, and critically appraising and incorporating diverse ideas
and observations in order to build a common scientific understanding. With this
foundation, young children entering school can begin to build and extend their
science knowledge as they advance through the grades.
Good teaching is critical to students’ understanding and mastery of sci-
entific ideas and practices. Students need to work with scientific concepts pre-
sented through challenging, well-designed problems—problems that are mean-
ingful from both a scientific standpoint and a personal standpoint. They need
to be challenged to think about the natural world in new and different ways.
They need guidance in adopting the practices of the scientific community, with
its particular ways of seeing, building explanations, and supporting claims
about knowledge.
Good science teaching and learning must draw from all four of the strands
of scientific proficiency. With carefully structured classroom experiences, instruc-
tional support from teachers, and opportunities to explore and connect important
science concepts over extended periods of weeks, months, and years, elementary
and middle school students can make valuable gains in science learning.
149