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Monitor student progress

At a glance

Monitor student progress by viewing analytics. Export analytics data, and use the detect outliers feature to identify students who need closer review in teamwork assignments.

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Detect outliers
Course analytics (beta)

Once students have begun the FeedbackFruits activity, you can view analytics and monitor students' progress for each step of the activity. Click through the tabs and click on the hotspots to learn more. You can click the icon in the top right corner to view in fullscreen. Click esc at any time to exit full screen.

Overview of outliers

High performer	This occurs when a student received an average rating higher than 70% and their rating was more than 10% percentage points higher than the overall average of the team as a whole.
Low performer	This occurs when a student did not contribute to the team's success. This condition is triggered when their overall average rating is less than 50%.
Under confident	This occurs when the overall team rating for a student is greater than 60%, but the student rated themselves at least 20% percentage points lower than this. This could indicate that the student is "underconfident" or too critical of their own contributions.
Over confident	This occurs when the overall rating for a student is less than 60%, but the student rated themselves at least 20% percentage points higher than their average rating.
Manipulator	This occurs when a student appears to be trying to "skew the curve" by giving themselves high ratings while rating the other team members poorly. The student has given themselves an overall rating of 80% or higher, while rating all the other members on their team at least 40% percentage points below this rating (when rating more than 5 peers, we measure the difference using average)
Conflict	This student rated a team-member at 40% or less while the median rating from the rest of the team is 60% or more. This generally indicates that there is a conflict between 2 team members.
Co-conflict	This occurs when a student got rated at 40% or less by one of their team-mates, while the median rating from the rest of the team is 60% or more. This generally indicates that there is a conflict between 2 team members.
Clique	This occurs when it appears the team might have split into two non-cooperating groups, where there’s protective insider rating. This happens when there is significant disagreement between the ratings from various team members (evidenced by standard deviation of the 0-to-1 normalised ratings given by peers being above 0.23).

Detect outliers

The detect outliers feature flags outliers based on how students rated themselves and their peers so you can quickly identify and review students in teamwork assignments. You can enable this setting in the Given reviews section of the FeedbackFruits Group Member Evaluation activity.

To enable this feature, the following conditions must be met:

Self-assessment is enabled
Students work individually to review in groups
Students review at least 4 peers or 'all' their peers
Allocation method has not been set to ‘students choose who to review’

For more information on this feature, see Group Member Evaluation|Detect Outliers.

Course analytics

Course analytics displays a high level overview of student progress across all your FeedbackFruits activities in one place. You can see which activities are on track and which need attention without needing to navigate to each individual activity.

Access Course Analytics

Note: If you haven't been authenticated by accessing FeedbackFruits via Moodle first, you may be prompted to enter your Monash email address to log-in. Access course analytics via the link emailed to you.

From the course analytics page, you will see a list of all Moodle units you have access to that contain FeedbackFruits activities. You will see Completion, Engagement and Performance percentages averaged across all FeedbackFruits activities in your Moodle unit. Click on the name of the unit to for an overview for that specific Moodle unit.

Click on the plus icons below to learn more

Note

Course analytics is currently a beta feature. For more detailed information about how each metric is calculated, see FeedbackFruits: Course Analytics.

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