Internal Assessment Rubric and Feedback Form
BIS IB Biology
Level:
Student Name:
Session: May 201x
Session No.
002171-
Design
Complete / 2
Investigation title:
“
A
S
P
E
C
T
Syllabus topic(s):
Teacher’s Instructions and help given:
Controlling
variables
Designs a method for the
effective control of the
variables.
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.
Developing a
method for
collection of
data
Develops a method that
allows for the collection of
sufficient relevant data.
Develops a method that
allows for the collection of
insufficient relevant data.
D1.1
Developing a method for collection of data
D1.2
D1.3
D1.4
Presenting Processed Data
Conclusion & Concluding
Evaluation Evaluating Procedures
Improving the Investigation
Subtotal (C&E)
Total:
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.”
Design
Subtotal (DCP)
Signed (student): _________________________________
D2.1
D2.2
D2.3
D2.4
D3.1
D3.2
Accepted (teacher): _________________________________ Date: ________
D3.4
This statement is also checked by the student when submitting the work through Moodle/Turnitin.
D1.6 Includes appropriate title that is
correctly formatted.
Research Question or Aim clearly stated, ,
includes IV and DV, is answerable & contains
all specific conditions.
IV correctly identified with units/ levels
DV (as directly recorded) correctly identified
with units. States what will be measured,
how, and how often.
D1.5 Adequate background to investigation included, with
citations.
D1.5 Hypothesis:
□ It is quantitative
□ Written in a formalized manner
□ Prediction is explained using scientific theory
□ Sources are cited
Method to manipulate IV, including specific
details of range or increments
Method for recording results, including units
and uncertainty of tools (± ____ )
Annotated photo or diagram of equipment
or experimental set-up
Full citation of published protocol, if used
(or elements thereof)
D2.5
Controlled variables presented as table.
D2.6
Potential impact of each variable on results has
been addressed.
Specific method to keep each controlled variable
constant has been explained clearly. This includes
values of each controlled variable and equipment
used to ensure or measure these values.
D2.7
Aspect 3: Developing a method for collection of sufficient relevant data
D3.3
Bandung International School
O Not complete/ incorrect
Completed & Correct
Aspect 2: Controlling variables
Date: ________
Stephen Taylor
Develops a method that
does not allow for any
relevant data to be
collected.
Aspect 1: Define the problem and select the variables
Controlling variables
Moodle/ Turnitin:
Designs a method that does
not control the variables.
Grade (2,1 or 0)
Data Collection & Recording Raw Data
Processing Processing Raw Data
Coversheet:
Does not identify a
problem/ research
question AND does not
identify any relevant
variables.
Formulates a focused
problem/ research
question and identifies
the relevant variables.
Subtotal (Design)
On time:
Not at all / 0
Define
problem &
select
variables
Marking Checklist:
Assessed Criteria: Aspect:
Design Define problem and select variables
Partial / 1
Min. 5 increments over a suitable range for
the IV (unless comparing populations
Sufficient repeats (5) at each increment to
ensure reliability and allow for stats.
Range of IV stated and explanation of how
this range was chosen.
Method clearly, specific and easily
replicated by the reader, if desired.
D3.5
D3.6
D3.7
D3.8
Choice of data presentation method (chart or
graph type) stated and explained.
Explain how raw data will be transformed into
processed data for comparison/ plotting
Choice of statistical test stated and explained.
Safety/ ethics concerns addressed, including
animal experimentation policy.
Codes correspond to Turnitin GradeMark QuickMarks available from: http://sciencevideos.wordpress.com/ia/assessment-rubrics/
Internal Assessment Rubric and Feedback Form
BIS IB Biology
Data Collection and Processing
Conclusion and Evaluation
Complete / 2
Recording
raw data
A
S
P
E
C
T
Records appropriate
quantitative data and
associated qualitative raw
data, including units and
uncertainties where
relevant.
Processing
raw data
Processes the quantitative
raw data correctly.
Presenting
processed
data
Presents processed data
appropriately and, where
relevant, includes errors
and uncertainties.
Partial / 1
Records appropriate
quantitative and
associated qualitative
raw data, but with
some mistakes or
omissions.
Processes quantitative
raw data, but with some
mistakes and/ or
omissions.
Presents processed data
appropriately, but with
some mistakes and/or
omissions.
Complete / 2
Does not record any
appropriate quantitative
raw data OR raw data is
incomprehensible.
No processing of raw data
is carried out OR major
mistakes are made in
processing.
A
S
P
E
C
T
Presents processed data
inappropriately OR
incomprehensibly.
Decimal points consistent throughout
DCP1.6
Decimal points consistent with precision
DCP1.3
Uncertainties correct (± __ )
DCP1.7
DCP1.4
All data are recorded correctly and honestly
of the measuring equipment
Raw data clearly distinguished from
processed data (possibly separate table)
Aspect 2: Processing Raw Data
DCP2.1
Calculations to determine DV carried out, if
necessary
DCP2.5
Standard deviations included where
appropriate, to appropriate decimal places
DCP2.2
Calculations or statistical tests appropriate to
investigation and address Research Question
DCP2.6
Uncertainties adjusted to reflect any
calculations carried out.
DCP2.3
Mathematics correctly applied
DCP2.7
Processed data (and decimal places)
consistent with precision of recorded data
DCP2.4
Worked example calculations given
Aspect 3: Presenting Processed Data
DCP3.1
DCP3.2
Titles self-explanatory and complete
Consistent decimal places
DCP3.7
DCP3.8
Error bars included, unless insignificant
Error bar source (e.g. standard deviation)
stated and s.d. data are correct
DCP3.3
Uncertainties/ errors included
DCP3.9
DCP3.4
DCP3.5
Appropriate choice of graph
Axes labeled clearly, including metric/ SI units
and uncertainties of values
DCP3.10
DCP3.11
Appropriate best-fit or trend line where
required
Tables & graphs do not break across pages
Effective use of space leads to clarity of
presentation
DCP3.6
Axes scaled appropriately
DCP3.12
Bandung International School
Concluding
States a conclusion based
on a reasonable
interpretation of the data.
Evaluating
procedures
Evaluates weaknesses and
limitations.
Identifies some weaknesses
and limitations, but the
evaluation is weak or
missing.
Identifies irrelevant
weaknesses and
limitations.
Improving the
investigation
Suggests realistic
improvements in respect
of identified weaknesses
and limitations.
Suggests only superficial
improvements.
Suggests unrealistic
improvements.
Graphs clear, colouring appropriate
CE1.1
Patterns and trends in data stated, with
reference to the graph/ tables.
CE1.6
CE1.2
Comparisons made within the dataset,
where appropriate
Comparison with published data and
theoretical texts, if possible.
Scientific explanation for results, with
justification
Associated qualitative data add value to
explanations.
CE1.7
CE1.3
Conclusion and Evaluation
Data Collection and Processing
DCP1.5
DCP1.2
Associated qualitative data (observations)
MUST be recorded or zero awarded.
Units of IV and DV present and correct
Stephen Taylor
Not at all / 0
States no conclusion OR the
conclusion is based on an
unreasonable
interpretation of the data.
Aspect 1: Concluding
Aspect 1: Recording Raw Data
DCP1.1
Partial / 1
States a conclusion with
justification, based on
reasonable interpretation
of the data.
Not at all / 0
CE1.4
CE1.5
CE1.8
Data related to hypothesis or Research
Question – to what extent to they agree/
disagree?
Appropriate language used “Supports my
hypothesis” (not ‘proves’ or ‘is correct’)
Suggestions for further investigation stated
CE1.9
Sources cited appropriately
Aspect 2: Evaluating procedures
CE2.1
Reference to error bars (or STDEV) with
All of the following evaluated in terms of possible
regard to variability of results and validity of
effect on data and magnitude of error. At least 4
conclusions
limitations required.
CE2.2 Analysis of sufficiency of data to address the
CE2.6 Random biological variation
aim/ RQ
CE2.3 Analysis of appropriateness of the range of
CE2.7 Measurement/ instrument errors
IV values with regard to the aim/ RQ
CE2.4 Anomalous points identified and explained,
CE2.8 Systematic errors (problems with method)
where appropriate
CE2.5 Associated qualitative data referred to
CE2.9 All other limitations relevant to the
where appropriate.
investigation
Time management or human error may be mentioned, though these are not scientific errors – they should be
eliminated with effective Manipulative Skills. The focus here should be on the investigation.
Aspect 3: Improving the investigation
Improvements for the limitations or sources of error above:
CE3.1 Are realistic and achievable
CE3.3
CE3.2
Address the RQ or aim quantitatively
(improving control of IV, DV and CV)
CE3.4
Are specific and clearly explained and address
limitations from aspect 2.
Are cited where improvements relate to
published protocols or techniques
Codes correspond to Turnitin GradeMark QuickMarks available from: http://sciencevideos.wordpress.com/ia/assessment-rubrics/