Science Rubric
Enduring Skill(s): Using Mathematics and Computational Thinking
GRADE: MS
Performance level (lowest
leading to proficiency):
Performance Level (leading
to proficiency):
No Mastery
Inappropriate use of
qualitative vs. quantitative
data and digital tools or no
use of digital tools.
Partial Mastery
Decide if qualitative or
quantitative data are best
to determine whether a
proposed object or tool
meets criteria for success.
Misuse of digital tools to
approximate solutions.
Criteria:
Engage in
computational
thinking by organizing
data, creating
sequences, and
developing new
simulations of natural
and designed systems.
Use counting numbers to
identify and describe
patterns in the natural and
designed world.
Organize simple data sets
to reveal patterns that
suggest relationships in the
natural and designed
world.
Criteria:
Create, analyze and
interpret data, graphs,
diagrams
Describe, measure, and/or
compare quantitative
attributes of different
objects and display the
data using simple graphs
with multiple mistakes.
Create, describe, measure,
estimate, and/or graph
quantities to address
scientific and engineering
questions and problems
with 2 or less mistakes.
Criteria:
Use mathematics to
make quantitative
predictions or
qualitative solutions
when problems
cannot be calculated
precisely
Performance Level
(at proficiency):
Mastery
Appropriate use of
qualitative or quantitative
data. Use mathematical
representations to describe
and/or support scientific
conclusions and design
solutions to represent
physical variables and their
relationships.
Computational thinking is
relevant and correct in
determining whether a
proposed object or tool
meets criteria for success.
Use digital tools (e.g.,
computers) to analyze very
large data sets for patterns
and trends in the natural and
designed world.
Use mathematical
representations to create,
describe, measure, estimate,
and/or graph quantities to
address scientific and
engineering questions and
problems with no mistakes.
Performance Level
(beyond proficiency):
Exceptional
Use quantitative data to
compare two alternative
solutions to a problem.
Use mathematical,
computational, and
algorithmic
representations of
phenomena or design
solutions to describe
and/or support claims
and/or explanations in the
natural and designed
world.
Use simple limit cases to
test mathematical
expressions, computer
programs, algorithms, or
simulations of a process or
system to see if a model
“makes sense” by
comparing outcomes with
what is known about the
real world by use of
created data tables,
graphs, and/or diagrams.