Report SEP Rubric 2

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Science and Engineering Practices
SEP
Asking
Questions
Exemplary
Progressing
Not Yet
Asks precise, testable
questions that require
sufficient and relevant
evidence to answer and
evaluates the testability
of the questions.
Asks precise, testable
questions that require
sufficient and relevant
evidence to answer.
Asks testable questions that
require sufficient and relevant
evidence to answer.
Asks general, imprecise
questions that require
greater specificity to be
testable.
Discusses predicted
relationships, including
quantitative relationships,
between dependent and
independent variables and
appropriate controls.
Discusses predicted
relationships between
dependent and
independent variables.
Identifies predicted
relationships between
dependent and independent
variables with minor errors.
Identifies dependent and
independent variables with
unclear predicted
relationships.
Thoroughly explains the
predicted relationships in
the relevant model(s).
Identifies appropriate
control(s) (if applicable) OR
relationships in the relevant
model(s)
Designs and explains a
model that generates data
to support explanations,
predict phenomena, analyze
systems, and/or solve
problems.
Identifies control(s) OR
relationships in the relevant
model or models with minor
errors or omissions.
Designs and explains a model
that generates data to support
explanations, predict
phenomena, analyze systems,
and/or solve problems. Design
or explanation of the model
includes minor errors or
omissions.
Identifies inappropriate
controls and/or
inappropriate models.
Uses or tests two different
models of the same
proposed tool, process,
mechanism or system.
Uses or tests the model and
evaluates the accuracy and
limitations of the model to
support explanations,
predict phenomena, analyze
systems, or solve problems.
Uses or tests the model and
evaluates the accuracy and
limitations of the model to
support explanations, predict
phenomena, analyze systems,
or solve problems.
Evaluates the accuracy
and limitations of the two
different models in order
to select a model that best
fits the evidence or design
criteria.
Makes recommendations to
revise the model.
Explanation or evaluation of
model includes minor errors or
omissions.
Designs, explains, and
evaluates a model to
generate data to support
explanations, predict
phenomena, analyze
systems, and/or solve
problems.
Developing
and using
Models
Proficient
Designs and explains a
model that generates data
to support explanations,
predict phenomena,
analyze systems, and/or
solve problems. Design or
explanation of the model
includes major errors or
omissions.
Uses or tests the model and
identifies the limitations OR
accuracy of the model (with
errors or omissions) to
support explanations,
predict phenomena,
analyze systems, or solve
problems.
Explanation or evaluation of
the model includes major
errors or omissions.
Planning and
Carrying Out
Investigations
Analyzing &
Interpreting
Data
Using
Mathematical
and
Computational
Thinking
Designs and evaluates an
investigation identifying
and explaining the
variables (dependent,
independent, and
controls)
Identifies possible
confounding variables.
Includes thorough
description of replicable
data collection
procedures.
Justifies the selection of
the tools/instrument and
type of measurements
that will produce relevant
data and/or evidence to
answer the question(s).
Uses appropriate scientific
techniques and
systematically collects
multiple trials (if
appropriate) of relevant
data consistent within
narrow range.
Evaluates the consistency
(precision) of the data as
well as the
appropriateness of the
data collection
procedures.
Analyzes and evaluates
data using tools,
technologies, and/or
models in order to identify
patterns, to make
reasonable and wellsupported scientific claims
(or to determine an
optimal design solution).
Designs an investigation
identifying and explaining
the variables (dependent,
independent, and
controls).
Designs an investigation
identifying variables
(dependent, independent,
and controls).
Designs an investigation
that will produce relevant
data but with minimal
detail about the variables
Includes sufficiently
detailed description of
replicable data collection
procedures.
Includes data collection
procedures that are mostly
replicable.
Includes incomplete
description of data
collection procedures that
impede replication
Describes tools/instrument
and type of measurements
that will produce relevant
data and/or evidence to
answer the question(s).
Identifies tools/instrument
and type of measurements
that will produce relevant
data and/or evidence to
answer the question(s).
Describes general evidence
to be used to answer the
question(s) with minimal
detail.
Uses appropriate scientific
techniques and
systematically collects
multiple trials (if
appropriate) of relevant
data consistent within a
reasonable range
Evaluates the consistency
(precision) of the data.
Uses appropriate scientific
techniques and collects
multiple trials (if
appropriate) of relevant
data consistent within a
reasonable range.
Uses appropriate scientific
techniques and collects
multiple trials (if
appropriate) of relevant
data but the data is not
consistent within a
reasonable range.
Analyzes and explains data
using tools, technologies,
and/or models in order to
identify patterns, to make
reasonable and supported
scientific claims (or to
determine an optimal
design solution).
Thoroughly evaluates the
limitations of data analysis
(e.g., measurement error,
sample selection) and
provides a detailed
explanation of the
implications on the
findings.
Accurately applies
appropriate mathematical
concepts and methods to
represent and solve
scientific questions and
explains whether the
answer “makes sense”.
Evaluates the limitations of
the data analysis (e.g.,
measurement error,
sample selection) and
identifies some
implications for the
findings.
Analyzes and explains data
using tools, technologies,
and/or models in order to
identify patterns, to make
reasonable scientific claims
(or to determine an optimal
design solution).
Analysis or explanation
includes minor errors or
omissions.
Identifies the limitations of
the data analysis (e.g.,
measurement error, sample
selection).
Attempts to analyze data
using tools, technologies,
and/or models in order to
identify patterns, to make
scientific claims (or to
determine an optimal
design solution).
Analysis or explanation
includes major errors or
omissions.
Identifies the limitations of
the data analysis (e.g.,
measurement error,
sample selection) with
incomplete or inaccurate
elements
Applies appropriate
mathematical concepts or
methods relevant to
scientific questions or
engineering problems, but
applies them with minor
errors or omissions.
Identifies mathematical
concepts or methods
relevant to scientific
questions or engineering
problems, but applies
them with major errors or
omissions.
Accurately applies
appropriate mathematical
concepts and methods
(e.g., ratio, rate, percent,
basic operations, algebra,
and functions) to answer
scientific questions.
Constructing
Explanations
Engaging in
Argument
Construct and revise an
explanation based on valid
and reliable evidence
obtained from a variety of
sources (including your
own investigations,
models, theories,
simulations, peer review)
and the assumption that
theories and laws that
describe the natural world
operate today as they did
in the past and will
continue to do so in the
future.
Apply scientific ideas,
principles, and/or
evidence to provide an
explanation of
phenomena, taking into
account possible
unanticipated effects.
Apply scientific reasoning,
theory, and/or models to
link evidence to the claims
to assess the extent to
which the reasoning and
data support the
explanation or conclusion in
a unique way.
Compare and evaluate
competing arguments in
light of currently accepted
explanations, new
evidence, limitations (e.g.,
trade-offs), constraints,
and ethical issues.
Evaluates the claims,
evidence, and/or
reasoning behind currently
accepted to determine the
merits of arguments.
Obtaining,
Evaluating and
Communicating
Information
When conducting
independent research,
selects multiple relevant,
high-quality scientific
sources representing a
variety of viewpoints, and
thoroughly evaluates the
evidence and credibility of
each source.
Construct and revise an
explanation based on
evidence obtained from a
few of sources (including
your own investigations,
models, theories,
simulations, peer review)
and the assumption that
theories and laws that
describe the natural world
operate today as they did
in the past and will
continue to do so in the
future.
Construct a scientific
explanation based on valid
and reliable evidence
obtained from sources
(including your own
experiments) and the
assumption that theories
and laws that describe the
natural world operate today
as they did in the past and
will continue to do so in the
future.
Use evidence (e.g.,
measurements,
observations, patterns) to
construct or support an
explanation.
Apply scientific ideas,
principles, and/or evidence
to provide an explanation
of phenomena.
Apply scientific ideas,
principles, and/or evidence
to construct, revise and/or
use an explanation for realworld phenomena,
examples, or events.
Identify the evidence that
supports particular points
in an explanation.
Apply scientific reasoning,
theory, and/or models to
link evidence to the claims
to assess the extent to
which the reasoning and
data support the
explanation or conclusion.
Apply scientific reasoning to
show why the data or
evidence is adequate for
the explanation or
conclusion.
Identify the evidence that
supports particular points
in an explanation.
Compare and begin to
evaluate competing
arguments in light of
currently accepted
explanations, new
evidence, limitations (e.g.,
trade-offs), constraints,
and ethical issues.
Discusses the claims,
evidence, and/or reasoning
behind currently accepted
explanations to determine
the merits of arguments.
Compare and critique two
arguments on the same
topic and analyze whether
they emphasize similar or
different evidence
and/or interpretations of
facts.
Find an explanation on the
topic being addressed and
discuss it without
evaluating or opposing
points of view.
Identifies the claims,
evidence, and/or reasoning
behind currently accepted
explanations to determine
the merits of arguments.
Includes the claims but not
the evidence or reasoning
behind currently accepted
explanations to determine
the merits of arguments.
When conducting
independent research,
selects multiple relevant
scientific sources, and
evaluates the evidence and
credibility of each source.
When conducting
independent research,
selects a limited number of
relevant scientific sources
and evaluates their
credibility minimally.
When conducting
independent research,
relies on one or two
relevant sources without
evaluating their credibility.
Sources:
National Research Council. A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas.
Washington, DC: The National Academies Press, 2012.
Center for Assessment, Learning, & Equity (SCALE) & Literacy Design Collaborative April 3, 2015 DRAFT
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