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Tutors: Who Needs them?
Self assessment using Grade Related
Criteria
http://www.rgu.ac.uk/celt/learning/page.
cfm?pge=7347#Tutor
Aims of this Session
 To
Review the literature on Self
assessment
 To outline the research design of an
“experiment” with final honours year
students
 To review the results
 To discuss the implications of the research
for assessment
Aims of Assessment
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Assessment has traditionally four main roles:
Formative, to provide support for future learning;
Summative, to provide information about
performance at the end of a course;
Certification, selecting by means of qualification
and
Evaluative, a means by which stakeholders can
judge the effectiveness of the system as a
whole.
Role of Assessment
 Assessment
as an aid to learning?
 Assessment as a means of identifying
ways of improving?
 Assessment as a skill to be acquired by
students?
Aims of Self assessment
 An
aid to student learning
 To help students understand more clearly
the basis on which they are assessed
 To develop self assessment skills
 To encourage students to be more self
critical about their work
 To give students more effective feedback
 To improve the efficiency of the
assessment process
The Context
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Module Economics of Taxation and Corporate
Taxes (BS4214)
Part of Accounting Module on taxation
Accounting students used to assessments which
involve a known or correct answer
How do you assess an economics answer?
Session 2002/3
48 final year accounting honours students
Using the Common Grading scheme with grade
related criteria
If GRC Scheme is as transparent as it claims
then students should be able to use it to assess
themselves accurately
Literature Review
 How
Reliable is Self Assessment?
 What factors influence Self Assessment?
Literature Review
 Mabe
and West (1982)
 Review of 55 studies from 1942-1977
involving 267 correlations
 Findings:
 Poor relationship between students and
tutor ratings
 R= 0.29 SD 0.25 (high degree of
variability)
Literature Review
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
Boud and Falchikov (1995)
Total of 68 studies from 1932 -1994
Do students over-rate themselves? ( 17 studies)
Good students better at rating themselves than
bad students? (11 studies)
 Advanced PG students better than “freshmen”
(7 studies found PG better at self assessment)
 More practice made self assessment better?
(7 studies found that it did not!)
 Gender differences? (6 studies – 3 showed
women more accurate than men; the rest no
evidence)
Literature Review
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Larres, Ballantine and Whittington (2003) Self
Assessment with Accounting Students
Computer Literacy in two UK universities with
sample of accounting students
“Vast majority” over-estimated their computer
knowledge
Conclusion:
“Self Assessment is not an appropriate means of
determining computer literacy”
But it did provide: “a useful adjunct into students’
attitudes to computing and stimulated reflection
on their abilities.”
Literature Review
 Self Assessment
 Fitzgerald
as an aid to learning
(1997) Found significant
improvements in learning amongst
medical students when self assessment
introduced
Literature Review
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Self Assessment as an aid to learning
Rust (2003)
Developed the use of grade related criteria with
a group of 290 second year undergraduate
students
140 attended a workshop in which they used the
criteria to assess work by students from previous
years; 150 did not attend: Experimental v
control;
Performance monitored and samples controlled
for ability
Results: significant gains both short run and
long-run
Methodology


Set three topics for students to choose
Set up iNET discussion forum using Salmons Five stage
model Salmon (2003)
 Gave out the criteria and ran a one hour workshop on
what was meant be each of the criteria
 Conducted an online Q & A session
 Students handed in coursework and completed a Self
assessment proforma using the same criteria as the
tutor.
 Students completed an evaluation of the work. Ways in
which it could be improved. Analysis of self evaluation
feedback + comments on iNET(the qualitative data)
 Proformas submitted but not read by tutor-assessor
 Coursework assessed internally, double marked
 Comparisons made student v tutors assessment
Criteria
 Presentation
 Research
 Knowledge
 Analysis
 Evaluation
 Overall
and Understanding
10%
10%
20%
30%
30%
Grade obtained by “averaging” +
profile of grade
Accuracy of Self Assessment
 Actual
Grades
 Degree of Match
 Combinations of both
 Tests
used
 Correlations
 Kruskall Wallis, Mann Whitney
 Pearson Chi Square
Results
Variable
Min
Max
Mean
Median
St Dev
Presentation
4
6
5.84
6
0.426
Research
2
6
5.31
6
1.045
Knowledge and Understanding
3
6
5.37
6
0.883
Analysis
3
6
4.96
5
0.841
Evaluation
2
6
4.10
4
0.984
Overall grade
3
6
4.94
5
0.827
Presentation
4
6
5.45
6
0.709
Research
3
6
5.04
5
0.865
Knowledge and Understanding
3
6
4.71
5
0.645
Analysis
3
6
4.41
4
0.674
Evaluation
3
6
4.37
4
0.636
Overall grade
3
6
4.61
5
0.571
TUTOR Grades
STUDENT Grades
Results
Dimension
Correlation between tutor grade and
student grade
Presentation
0.179 ns
Research
0.470 ***
Knowledge
0.444 ***
Analysis
0.471 ***
Evaluation
0.438 ***
OVERALL GRADE 0.611 ***
(Whole integer data)
Results
Element
Same
One Grade
Grade
Variance
Presentation
59.2
Research
Two Grade
Variance
Students
Grade
Exceeds
the Tutor
Grade
30.6
10.2
6.1
42.9
46.9
10.2
16.3
Knowledge and
Understanding
20.4
69.4
10.2
12.2
Analysis
38.8
51.0
10.2
8.2
Evaluation
36.7
55.1
8.2
42.8
Overall
53.1
44.9
2.0
8.2
Hypotheses

H1: There will be no statistically significant
differences in the degree of match in grade tutor v
student
 H2: There will be no statistically significant gender
differences in the degree of match between tutor and
students assessments.
 H3 There will be no statistically significant
differences in the degree of match made by good
and poor students and the tutor

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Three definitions of a good student
1. Grade 5 and above (Broad)
2. Grade 6 only (Narrow)
3. First (Honours Narrow)
4. First + 2:1 (Honours Broad)
Hypothesis 1
Element
Kruskall-Wallis
Mann-Whitney
Presentation
10.087***
3.176***
Research
3.859***
1.964***
Knowledge &
Understanding
20.528***
4.531***
Analysis
12.343***
3.513***
Evaluation
1.611
1.269
Overall
6.013***
2.452**
Hypothesis 2
Gender
(Pearson Chi Square )
Presentation
Research
1.584
6.756 ***
Knowledge and
Understanding
Analysis
1.197
Evaluation
Overall
0.023
0.000
0.063
Hypothesis 3
(1) Student
(2) Student
(3) Student
(4) Student
Ability
Ability
Ability
Ability
(Pearson Chi (Pearson Chi (Pearson Chi (Pearson Chi
Square)
Square)
Square)
Square)
Presentation
2.019
2.069
0.005
3.679 *
0.152
1.838
1.642
9.317***
Knowledge and
Understanding
0.206
1.426
0.057
0.611
Analysis
Evaluation
2.561
0.942
6.204 ***
0.166
0.348
0.330
0.987
0.234
Overall
1.181
12.765
***
0.016
0.023
Research
Conclusions on Quantitative Data

There were statistically significant differences
between the grades by the tutor and grades by
students. Students rated themselves significantly
below the tutor on all dimensions except
“Evaluation”
 There were no significant gender differences on
any of the dimensions with the exception of
“Research” where female students underscored
themselves on this in comparison to male
students
 No strong evidence that the “best” students
rated themselves better than weaker students
Qualitative Evidence
 Used
quotes from the self evaluation form
+ iNET discussion forums to ascertain
whether students were more aware of the
criteria against which they were assessed
 Did a content analysis of responses
Qualitative Evidence
“ I feel I have enhanced my ability to perform
research and critical analysis through this
assignment” Female student Grade 4
 “ I feel the strengths of this report was (sic) the
research conducted as well as the knowledge
and understanding I gained from this” Female student
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overall grade 5
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“As a result of this work I have learned that tax
can be interesting!. The strengths of this work is
(sic) in its presentation, application of knowledge
and analysis of the issues identified” Male student
overall grade 4
Feedback on the exercise
“ Thank you! I cant believe I got that mark ( I’m
still shaking!) I honestly did think this was one of
my poorer pieces of coursework, but I’m very
glad you didn’t agree! Thanks also for such a
detailed feedback, it’s not often we get this and I
found it very useful” Female student Grade 6
 Quote from Paper
 Biggest mismatches on Research and
Evaluation
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Conclusions

Using a university–wide grade related criteria
scheme improves the accuracy of self
assessment
 Self Assessment:


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helps students “unpack” the criteria by which they are
assessed
improves feedback that tutors can give to students
identifies criteria that need to be made clearer in the
future with more detailed briefings (or giving students
actual coursework from previous years to practice
assessing)
has the potential to change the role of tutor from
“front-line” assessor to “ moderator” of the
assessment process.
has the potential to improve both effectiveness and
efficiency in assessment
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