Title: Assessing Contributions to Group Assignments
1Assessing Contributions to Group Assignments
- Lucy Johnston and Lynden Miles
- University of Canterbury, New Zealand
Amy Maiden, Rachael Ramsbottom, Abbi Raine,
Samuel Pugh and Adam Pudvine
2Introduction
- Our group looked at the subject of
- self and peer assessment
- Group learning with Individual reports
- The marks for the report were moderated by self
and peer assessment
3Group Benefits
- Other peoples points of view
- Develop teamwork skills
- Communication
- Leadership
- Planning and organization
- All are useful in the job world
- What University is all about.Supposedly
4Group Problems
- Grading contribution
- Awarded for contribution
- Good grade less work
- A Very Happy Student
- Input Vs Output
5Why use peer assessment?
- Monitoring group contributions
-
- This is where Peer Assessment is useful.
- Group members
- Peer Assessment grade
- Addition or
- Moderator
- To report grade
6Aims of the study
- One aim looked at the
- Effects Peer Assessment has on
- Group Learning with individual reports
- Individual reports dont always expose free
riders - Take, Take, Take!
- A second aim was
- Self assessment
- Inclusion or Omission
7Aims of the study
- Some researchers argue for inclusion and some
against inclusion. - The study included self evaluation but considered
consequences of omitting the self evaluation. - (Goldfinch, 1994) argued
- Nice Guys finish last!
- Self assessment allows balance.
- (Krause Popovich, 1996) Proves this is
incorrect. - The study we looked at aims to shed more light on
this matter.
8Method
- Participants
- 61 undergraduate students
- 48 females and 13 males
- 12 groups were self-selected by the students
- 3 groups (n 2) 4 groups (n 10) 5 groups (n
3) - 7 groups comprised of males and females.
- 5 groups comprised of females only.
9Method
- Aim
- To give the students experience in designing and
conducting a piece of social psychological
research. - 3 topic areas
- Investigating the relationship between empathy
and personal behaviour. - Testing the Ideal Standards Model (Fletcher et
al., 1999 Simpson et al., 2001) in mate
selection. - Investigating the nature of impression formation.
10Method
- Contributions Questionnaire
- Each student rated the contribution of each
member of their work group, including themselves
on task functions and group management. - Generation of research ideas
- Contribution to background literature searches
and reviews - Contribution to research design and methodology
- Contribution to data collection
- Contribution to data analysis and interpretation
- Contribution to feedback presentations
- Contribution to project management
11Method
- A score between 3 and -1 was given for each of
these tasks. - 3 major contribution, 2 some contribution, 1
minor contribution, 0 no contribution, -1 a
hindrance to the group. - The average rating out of 21 was calculated for
each group member and the average rating for each
group was calculated. - More than an average contribution exceeds the
1.0 ratio increase in mark - Less than average contribution less than 1.0
ratio decease in mark.
12Results Contributions Ratings
- A repeated measures ANOVA (rating of self others
rating of self and rating of others in a group)
showed a significant effect F(2,120)3.49,Plt0.05
. - Ratings of the self were significantly higher
(Fisher LSH, Plt0.05) than others rating of the
self and rating of others in-group, the latter
two not differing from one and another (Means
18.47 versus 17.09 and 17.00). - Individuals believed they contributed more.
13Results Contributions Ratings
- No difference between own contribution and the
mean group contribution. Suggesting little
difference in the scores of the group members
within a given workgroup. - Reflected in mean and median values for the
contribution index being close to 1.0 (mean
1.002 and median 1.008) - Few significant effects were shown on impact of
the sex of the student, size of group and type of
group (mixed sex or all female)
14Results Contributions Ratings
- No significant effects of sex of student.
- There was an effect of the size of the group on
ratings of self, participants rating own
contribution lower if in a larger group. - No difference between the mean scores of those in
mixed sex work groups and female only work
groups. - Pearson correlation coefficients were calculated
between ratings of the individual by themselves
and by other group members. - No significant correlations in the perceptions of
an individual by themselves and by other group
members.
15Results Contributions Ratings
- No correlation between the ratings of ones own
contribution and other group members r(61)
0.155, ns, suggesting a differentiation of own
contribution from that of other group members. - Individuals rate their contribution higher than
that of other members of their work group. - Suggests individuals are distorted in the their
view of their own contribution.
16Results Contributions Ratings
- Kendalls measure of concordance was calculated
in each work group, a measure of agreement in the
ranking of items across judges and ranges (0, no
agreement 1, perfect agreement). - No effect of sex of the group on Kendalls
coefficient of concordance. There was however,
an effect of group size within higher concordance
for smaller groups.
17Results Contribution ratings and Performance
- The marks awarded for the written assignment,
before and after the adjustment by the
contribution index are shown in Table 2.
18Results Contribution ratings and Performance
- No effect of group type or group size on
assignment marks. There was however a
significant effect of sex on the assignment
marks. - Female students received higher marks before
adjustment and was enhanced after adjustment for
group contribution.
19Results Contribution ratings and Performance
- There was no significant difference between the
assignment marks before and after adjustment by
the contribution index. - Consistent with a mean contribution index close
to 1.0 there was very little mean change in the
marks awarded. - However, there was a wide range of changes to
marks from a decrease of 22.12 to an increase of
20.18.
20Results Contribution ratings and Performance
- Table 3 shows the correlations between the
contribution ratings and assignment marks.
21Results Contributions Ratings
- A significant relationship between others rating
individuals marks and between the contribution
index and marks was found. - Lejk and Wyvill, (2001) suggested self-assessment
varies as a function of ability level. - High ability individual under rates self
- Low ability individual over rates self
- Investigated using a quartile spilt on the
unadjusted marks to categorise the individuals on
their level of ability. A discrepancy score
wtaken for each individual between
self-assessment and peer assessment. - Positive scores higher self- then peer ratings
and negative scores the opposite.
22Results - Strategies
- Surprisingly there was no instance of group
collaboration. - Only 16 (26) students gave the same rating for
all members including themselves. - A further 2 (3) rated themselves differently to
the others who they rated as the same. - This follows Kendalls concordance measure,
indicating that the students took the task
seriously.
23Results - Strategies
- Self bias could be the explanation for the lack
of group strategies developing. - Confidentiality allowed students to ignore group
decided strategies if they chose to do so. - A member may mark themselves highly and give the
other group members low scores in order to
increase the rating gap, indicating their higher
contribution. - However, the same pattern may be adopted by a
more under contributing member to mask their
inadequacy.
24Results - Strategies
- The three top and three bottom scoring students
scores were looked at in more detail. - It is evident that students preferred to inflate
their own contribution rather than devalue
another members. - Interestingly two of the groups included both a
top scoring student and a bottom scoring student,
this could be a result of one member of the group
compensating for anothers inadequacy.
25Results Alternative Approaches
- Removing the self-assessments and using
contribution index to allocate additional marks. - There was no correlation between self and peer
assessment, also no correlation between self
assessment and actual marks awarded. - So does self-assessment hinder validity of marks
more than just peer-assessment? - Revised contribution index mean
peer-assessment/mean group contribution (omitting
influence of self-assessment).
26Alternative Calculations of the Impact of the
Contribution Index
27Results Alternative Approaches
- In the revised version there was a very strong
correlation between the two contribution index
measures r(61) 0.945, Plt0.05 - In both versions of the contribution index the
correlations between each of the indices and the
assignment scores are very similar. - The impact on the assignment scores using the two
measures of contribution index correlated highly,
as did the two final assignment scores.
28Results Alternative Approaches
- In the assessment ratings and actual marks were
integrated, another approach however would be to
determine a percentage of the final grade by each
aspect. - For example, written assignment 15,
contributions rating 5. But how many marks to
allocate for contribution out of five for an
average student? - If 65 was the mean for marked assignments prior
to adjustment an average score would be 3.25/5
for an average student in the new measure.
(impact of these different measures is seen in
table 4)
29Discussion
- Discussed the nature and consequences of
employing a self- and peer assessment as a method
to mark a group-based project. - Contribution index showed a 0.7 mean increase.
- Although this is not a substantial increase the
researchers feel it still fulfilled its aim of
engaging the students to work effectively in
groups. - This makes life hard for free riders.
- Usually a contribution index of close to 1.0 will
show these aims achieved.
30Discussion
- A high agreement was noted between different
students individual rankings, showing that the
students found it possible to rate there fellow
students. - This then helps to ensure that free riders are
penalised. - Those who contributed were rewarded.
- Results obtained were different to that of
previous research as in this case students rated
personal contribution higher that what the peers
did.
31Discussion
- Possible explanation as to why discrepancies
occurred between studies is due to the extra
piece of written work issued to each student. - It was thought that those who scored low on the
assignment did not contribute much to the group
work. - This would then mean that those who contributed
effectively to the group would be scoring double.
32Discussion
- Self assessment very controversial.
- Researchers against self-assessment (Lejk
Wyvill, 2001). - Researchers pro self-assessment (Goldfinch,
1994). - A peer- and self-assessment was used as well as a
sole self-assessment to test the measures
validity. - Self- and peer-assessments were found to have
little relationship. - Only peer-assessments correlated significantly
with the marks awarded. - Self-ratings worth is still unclear.
- It does promote self-reflection and the need for
critical thinking.
33Conclusion
- Peer-assessment promotes independent, reflective,
and critical learners (Somervell, 1993). - Helps to enhance motivation for participation
amongst students (Michaelsen, 1992). - Encourages students to take responsibility for
our own learning (Rafiq Fullerton, 1996). - Students get feedback on effectiveness within a
group. - Project supports the positive contribution of
peer-assessment within group-based work.
34Group Evaluation
- It is felt as a group that tutor evaluation is
more important than peer evaluation. - Peer evaluation still has its uses of engaging
students to work more productively as a group. - This is shown in this years discussion board
where the majority of students agree that the
tutor evaluation is more important. - Possible reasons for this due to a lack of trust
within the group as they were randomly selected.