Student
Name:
Session:
May
201x
Internal
Assessment
Rubric
and
Feedback
Form
Level:
Session
No.
002171-
Investigation
title:
Syllabus
topic(s):
Design
A
S
P
E
C
T
Define
problem
&
select
variables
Controlling
variables
Developing
a
method
for
collection
of
data
Complete
/
2
Formulates
a
focused
problem/
research
question
and
identifies
the
relevant
variables.
Designs
a
method
for
the
effective
control
of
the
variables.
Develops
a
method
that
allows
for
the
collection
of
sufficient
relevant
data.
Partial
/
1
Formulates
a
problem/research
question
that
is
incomplete
or
identifies
only
some
relevant
variables.
Designs
a
method
that
makes
some
attempt
to
control
the
variables.
Develops
a
method
that
allows
for
the
collection
of
insufficient
relevant
data.
Not
at
all
/
0
Does
not
identify
a
problem/
research
question
AND
does
not
identify
any
relevant
variables.
Designs
a
method
that
does
not
control
the
variables.
Develops
a
method
that
does
not
allow
for
any
relevant
data
to
be
collected.
Teachers
Instructions
and
help
given:
Assessed
Criteria:
Aspect:
Design
Define
problem
and
select
variables
Data
Collection
&
Processing
Design
Conclusion
&
Evaluation
Grade
(2,1
or
0)
Controlling
variables
Developing
a
method
for
collection
of
data
Subtotal
(Design)
Recording
Raw
Data
Processing
Raw
Data
Presenting
Processed
Data
Subtotal
(DCP)
Concluding
Evaluating
Procedures
Improving
the
Investigation
Subtotal
(C&E)
Moodle/
Turnitin:
Marking
Checklist:
Completed
&
Correct
X
Not
complete/
incorrect
Aspect
1:
Define
the
problem
and
select
the
variables
Research
Question
or
Aim
clearly
stated
RQ/Aim
includes
IV
and
DV
Background
to
investigation
included
IV
correctly
identified
with
units/
range
DV
correctly
identified
with
units
and
precision
If
a
hypothesis
is
required:
It
is
quantitative
A
sketch
graph
is
included,
with
explanation
Prediction
is
explained
using
scientific
theory
Sources
are
cited
Aspect
2:
Controlling
variables
On
time:
Coversheet:
Total:
Method
to
manipulate
IV,
including
specific
Controlled
variables
presented
as
a
table:
details
of
range
or
increments
List
all
variables
to
be
controlled
Method
for
recording
results,
including
units
For
each
variable:
and
uncertainty
of
tools
(
___________
)
How
could
it
impact
the
results?
Annotated
photo
of
equipment
or
Exactly
how
will
it
be
controlled?
(Value,
with
experimental
set-up
method
for
achieving
that
value.
Full
citation
of
published
protocol,
if
used
Results
table
designed
before
investigation
was
planned,
to
guide
Design
How
will
results
be
presented?
Reason.
What
statistical
test(s)
will
be
used?
Why?
Does
plan
to
collect
data
address
RQ?
Min.
5
increments
over
a
suitable
range
for
the
IV
(unless
comparing
populations)
Explain
how
range
of
IV
was
selected
Explain
how
raw
data
will
be
transformed
into
processed
data
for
comparison/
plotting
Sufficient
repeats
at
each
increment
to
ensure
reliability
and
allow
for
stats.
Method
clearly
presented
in
step-wise
format
and
can
be
repeated
by
others.
Safety/
ethics
concerns
addressed,
including
animal
experimentation
policy.
Aspect
3:
Developing
a
method
for
collection
of
sufficient
relevant
data
Candidate
declaration:
I
confirm
that
this
work
is
my
own
work
and
is
the
final
version.
I
have
acknowledged
each
use
of
the
words
or
ideas
of
another
person,
whether
written,
oral
or
visual.
Signed
(student):
_________________________________
Date:
________
Accepted
(teacher):
_________________________________
Date:
________
This
statement
is
also
checked
by
the
student
when
submitting
the
work
through
Moodle/Turnitin.
Internal
Assessment
Rubric
and
Feedback
Form
Data
Collection
and
Processing
Recording
raw
data
A
S
P
E
C
T
Conclusion
and
Evaluation
Partial
/
1
Not
at
all
/
0
Complete
/
2
Complete
/
2
Concluding
States
a
conclusion
with
justification,
based
on
reasonable
interpretation
of
the
data.
Evaluates
weaknesses
and
limitations.
Partial
/
1
Not
at
all
/
0
Processing
raw
data
Presenting
processed
data
Records
appropriate
Records
appropriate
quantitative
data
and
quantitative
and
Does
not
record
any
associated
qualitative
associated
qualitative
appropriate
quantitative
raw
data,
including
units
raw
data,
but
with
raw
data
OR
raw
data
is
and
uncertainties
where
some
mistakes
or
incomprehensible.
relevant.
omissions.
Processes
No
processing
of
raw
Processes
the
quantitative
raw
data,
data
is
carried
out
OR
quantitative
raw
data
but
with
some
major
mistakes
are
correctly.
mistakes
and/
or
made
in
processing.
omissions.
Presents
processed
Presents
processed
data
data
appropriately,
Presents
processed
data
appropriately
and,
but
with
some
inappropriately
OR
where
relevant,
includes
mistakes
and/or
incomprehensibly.
errors
and
uncertainties.
omissions.
Completed
&
Correct
X
Not
complete/
incorrect
A
S
P
E
C
T
Evaluating
procedures
States
no
conclusion
States
a
conclusion
OR
the
conclusion
is
based
on
a
reasonable
based
on
an
interpretation
of
the
unreasonable
data.
interpretation
of
the
data.
Identifies
some
weaknesses
and
Identifies
irrelevant
limitations,
but
the
weaknesses
and
evaluation
is
weak
or
limitations.
missing.
Suggests
only
superficial
improvements.
Suggests
unrealistic
improvements.
Suggests
realistic
Improving
the
improvements
in
respect
of
identified
investigation
weaknesses
and
limitations.
Marking
Checklist:
Aspect
1:
Concluding
Patterns
and
trends
in
data
stated,
with
reference
to
the
graph/
tables.
Comparisons,
if
appropriate,
are
made
Data
related
to
hypothesis
or
RQ
to
what
extent
to
they
agree/
disagree?
Scientific
explanation
for
results
Comparison
with
published
data
and
theoretical
texts,
if
possible.
Appropriate
language
used
Supports
my
hypothesis
(not
proves
or
is
correct)
Associated
qualitative
data
add
value
to
explanations.
Sources
cited
appropriately
Suggestions
for
further
investigation
stated
Aspect
1:
Recording
Raw
Data
Data
Collection
and
Processing
Raw
data
clearly
distinguished
from
processed
data
(possibly
separate
table)
Units
of
IV
and
DV
present
and
correct
Uncertainties
correct
(
__
)
All
data
are
recorded
correctly
and
honestly
Decimal
points
consistent
throughout
Decimal
points
consistent
with
precision
of
the
measuring
equipment
Associated
qualitative
data
(observations)
MUST
be
recorded
or
zero
awarded.
Conclusion
and
Evaluation
Aspect
2:
Evaluating
procedures
Reference
to
error
bars
(or
STDEV)
with
regard
to
variability
of
results
Analysis
of
reliability
of
results:
Are
data
sufficient
to
address
the
RQ?
Was
the
range
of
the
IV
appropriate?
Identify
&
Explain
anomalous
data
points
Refer
to
quantitative
data
Evaluate
random
biological
variation,
measurement/
instrument
errors,
systematic
error
(problems
with
the
method)
in
terms
of:
Possible
effect
on
data
Significance
of
the
weakness
or
limitation
in
terms
of
the
data
set
This
can
be
clearly
presented
in
a
table.
Aspect
2:
Processing
Raw
Data
Calculations
to
determine
DV
carried
out,
if
necessary
Calculations
or
statistical
tests
appropriate
to
investigation
and
address
RQ
Mathematics
correctly
applied
Worked
example
calculations
given
Tables
&
graphs
do
not
break
across
pages
Titles
self-explanatory
and
complete
Consistent
decimal
places
Uncertainties/
errors
included
Appropriate
choice
of
graph
Graphs
clear,
colouring
appropriate
Effective
use
of
space
Standard
deviations
included
where
appropriate,
with
appropriate
DP.
Uncertainties
adjusted
to
reflect
any
calculations
carried
out.
Processed
data
(and
decimal
places)
consistent
with
precision
of
recorded
data
Axes
labeled
clearly,
including
metric/
SI
units
and
uncertainties
of
values
Axes
scaled
appropriately
Error
bars
included,
unless
insignificant
Error
bar
source
(e.g.
standard
deviation)
stated
and
s.d.
data
are
correct
Best
fit
line
produced
by
you,
not
Excel.
Aspect
3:
Presenting
Processed
Data
Time
management
or
human
error
may
be
mentioned,
though
these
are
not
scientific
errors
they
should
be
eliminated
with
good
practical
skills.
The
focus
here
should
be
on
the
investigation.
Aspect
3:
Improving
the
investigation
For
each
weakness
or
limitation
mentioned
above,
how
could
improved
experimental
design
remove
or
reduce
the
impact
of
the
error
in
terms
of:
Techniques
used
to
collect
and
record
data,
including
precision
of
equipment
Design
of
the
investigation,
including
range
of
values
chosen
and
repeats
of
each
IV
data
point
Realistic,
specific
and
achievable
improvements
