Italy- Questionnaire about well-being- Teachers' responses
Similar a VII Jornadas eMadrid "Education in exponential times". Mikel Villamañe: "RaMon, a Rating Monitoring System for Educational Environments". 05/07/2017.
Similar a VII Jornadas eMadrid "Education in exponential times". Mikel Villamañe: "RaMon, a Rating Monitoring System for Educational Environments". 05/07/2017. (20)
VII Jornadas eMadrid "Education in exponential times". Mikel Villamañe: "RaMon, a Rating Monitoring System for Educational Environments". 05/07/2017.
1. LASI 2017 – 5th July 2017
LASI 2017 – 5th July 2017
RaMon, a Rating Monitoring System for
Educational Environments
Mikel Villamañe, Mikel Larrañaga, Ainhoa Álvarez,
University of the Basque Country UPV/EHU
2. LASI 2017 – 5th July 2017
• Introduction
• Rater effects
• Our proposal: RaMon
• Conclusions & future work
Agenda
2
3. LASI 2017 – 5th July 2017
• Evaluation should be equal for all students
– Objective
– Impartial
• But it is influenced by the rater’s :
– Thinking processes
– Knowledge level
– Personal preferences
Introduction
3
RATER
EFFECTS
4. LASI 2017 – 5th July 2017
• Rater effects can remarkably affect the
evaluation when multiple raters are involved
– Final Year Projects’ evaluation board
– Doctoral Thesis’ evaluation board
– Scientific papers’ reviewers
– Peer-review scenarios
• Rater effects should be detected in order to:
– Take remediation actions
– Help forming an evaluation board
Introduction
4
5. LASI 2017 – 5th July 2017
• Leniency / Severity
– Tendency to give significantly higher or lower scores
• Differential Leniency /Severity
– Biasing the scores of a particular group
• Central tendency
– Tendency to give only central scores
• Randomness
– Giving scores inconsistently with other raters
• Halo / Horn
– Rating the student based in previous knowledge
Rater effects
5
6. LASI 2017 – 5th July 2017
• Traditional approach
– Mean score
– Discriminability
Rater effects
6
More information is
needded
Lenient rater or good works?
7. LASI 2017 – 5th July 2017
• RaMon: Rating Monitoring system
– Using visual learning analytics to detect and
measure rater effects
– It also allows detecting controversial evaluations
– Tested in a real scenario
• Final Year Project course
• More than 100 projects
• 15 raters
Our proposal
7
8. LASI 2017 – 5th July 2017
• Leniency / Severity
Our proposal
8
• Incorporating
information to
the plot
Few evaluations
9. LASI 2017 – 5th July 2017
• Leniency / Severity
Our proposal
9
• Incorporating
information to
the plot
High agreement
score
Rater 4 is
not lenient
Problematic raters?
10. LASI 2017 – 5th July 2017
• Leniency / Severity
Our proposal
10
• Comparing different evaluable elements
Final Report Oral Defense
Raters 9, 10 and 15 are
lenient in the final report but
severe in the oral defense
11. LASI 2017 – 5th July 2017
• Differential Leniency /Severity
Our proposal
11
• Comparing
evaluations by
role
Rater 9 tends to score better
the students under his/her
supervision
12. LASI 2017 – 5th July 2017
• Differential Leniency /Severity
Our proposal
12
• Comparing
evaluations by
role in a
particular
evaluable
element
Final Report
Raters 3 and 9 are severe with
the final report made by students
not under their supervision
13. LASI 2017 – 5th July 2017
• Controversial evaluations
Our proposal
13
• Analyzing the
rater agreement
Very low
agreementProject 67 should be revised to
assure a fair evaluation
14. LASI 2017 – 5th July 2017
• RaMon provides enriched visualizations when
evaluation rubrics are used
Our proposal
14
15. LASI 2017 – 5th July 2017
Our proposal
15
Oral Defense
Rater 8 uses higher levels
evaluating his/her students
Rubric’s dimensions
Performance levels
Raters
16. LASI 2017 – 5th July 2017
• Detailed heatmap
Our proposal
16
Project 67’s
Final Report
D E BRubric’s dimensions
Performance levels
Rater 7 is being lenient
17. LASI 2017 – 5th July 2017
• Conclusions
– RaMon helps detecting rater effects and
controversial evaluations
– It has been applied in a real scenario
– It can be used to:
• Form evaluation boards in order to get fair evaluations
• Reflect about the evaluation process and take remediation
actions
Conclusions & future work
17
18. LASI 2017 – 5th July 2017
• Future work
– Apply RaMon in more courses
– Apply RaMon in peer-review scenarios
– Add new visualization options
Conclusions & future work
18
19. LASI 2017 – 5th July 2017
LASI 2017 – 5th July 2017
RaMon, a Rating Monitoring System for
Educational Environments
THANK YOU
Contact: mikel.v@ehu.eus
http://galan.ehu.eus