Introduction
Gain deeper insights into student engagement and success with our enhanced analytics platform. Easily accessible through your LMS or tool picker, this dashboard provides comprehensive data on student activity and performance.
Key features include:
Overarching course analytics: Gain a comprehensive overview of your course's results.
Visualisations: Understand student behavior through charts and graphs.
Student table: Drill down into individual student data for targeted support.
Whether you focus on student engagement or success, this tool empowers you to make data-driven decisions and optimize your teaching strategies.
What Are Learning Analytics?
Learning analytics are designed to empower data-driven individuals in the education sector by providing comprehensive insights into student achievement and engagement.
Learning Analytics appear in a space within FeedbackFruits platform: Insights. Here, teachers and learning designers can inspect and showcase evidence in feedback and assessment with FeedbackFruits data to improve teaching quality and student experience.
Furthermore, Learning Analytics also promotes evidence-based learning design, and support data-informed teaching interventions for students at risk. These benefits ultimately lead to an enhancement in student outcomes and retention.
You can read more about our learning analytics offerings here: Platform: Learning Analytics
What are the Key Benefits?
Visualized data: in just a quick glance, checking cumulative course data within FeedbackFruits has never been easier. You can now see your students progress over time, as a course and individuals (in the All students table).
Improved understanding of student engagement: Track student activity, identify areas of high and low engagement, and tailor teaching strategies accordingly.
Enhanced student success measurement: Assess student performance based on multiple factors including activity completion, feedback received, and competency development.
How Do I Use Course Analytics?
Getting Started: Course Analytics
If you’re interested in using this functionality, please reach out to your account manager at FeedbackFruits to set it up for you. Once it’s been set up, you can access the analytics via our platform.
Please note: The course analytics will only show for courses with progress after the feature flags have been turned on. So once you have access to this functionality, the analytics will start to populate once you have progress in activities in that course.
First, navigate to the platform - you can see detailed instructions on how to do this here: How to: Access Libraries.
The insight panel can be accessed on the left sidebar - you need to click on courses to be taken to a list of the courses you are registered on as a teacher or learning designer/admin.
From the course list, select the course you would like to check analytics for.
When you click on the course, you’ll be taken to a page with 3 key elements:
Overarching course analytics
Visualizations of student engagement
Student overview table
Depending on your institutional access, you'll have analytics on student engagement, student success, or both. Again, please check with your account manager at FeedbackFruits if there’s an element you’d like to gain access to.
Student Engagement
Student Succes
Types of Analytics Available
There are two sets of dashboard breakdowns available along the top bar of the page:
Student Engagement: based on student interactions and activity within assignments. Find data such as completion rate, count and type of contributions.
Student Success: based on student competencies and skill progression over time. Ideal when using Competency-Based Learning and rubrics, within our Feedback & Assessment package.
For each page, the structure is similar with the overarching course analytics, a visualization and a student table.
Student Engagement
On the student success page, there are 3 key components:
Activity completion rate
Average contributions per student
Students’ engagement overview table
We will be adding further analytics in the future.
The benefits of using these analytics can’t be understated; by having a centralised data breakdown of completion rate and contributions per student, a teacher can easily look at under performers in these areas and address the issue with the student accordingly.
It’s also possible to filter via the student’s table to check analytics for grouped students, to ensure there’s no free riders.
Below you can see how each statistic is calculated and the components involved.
Activity Completion Rate
We use the following formula to calculate the activity completion rate:
Example:
Suppose a course has 3 activities, and the completion progress for these activities by all students is as follows:
Activity 1: Average student completion is 85%.
Activity 2: Average student completion is 75%.
Activity 3: Average student completion is 90%.
The Activity Completion Rate is calculated by averaging these completion rates:
Average Contributions per Student
We use the following formula to calculate the average contributions per student:
*Contribution types: review comments, ratings, answers, discussion posts, comments
The graph shown for average contributions per student is a stacked bar chart where data is aggregated per calendar month.
The student activity is broken down into types of contributions:
Review comments
Ratings
Answers
Discussion posts
Comments
Students’ Engagement Overview Table
The students table is designed to give a comprehensive, comparative overview of all students’ engagement.
It provides the following analytics:
Activity completion rate
Average word count of contributions per student
Number of answers given by student
Average word count of open ended answers
Number of discussion posts posted per student
Average Word count of discussion posts per student
Number of reviews posted per student
Average word count of reviews posted per student
Number of rating posted per student
Student Success
Under the student success tab, there are three key elements:
Average rating level received by students
Feedback giving completion
Students’ ratings table
By giving teachers a clear overview of the trends in student behaviour across multiple feedback assignments, a teacher can easily evaluate if a student lacks an understanding of the material across a course, or if they are engaging fairly with their peers by giving feedback.
It’s also possible to filter via the student’s table to check analytics for grouped students, to compare feedback given vs feedback received.
Below you can see how each statistic is calculated and the components involved.
Average Rating Level Received By Students
We use the following formula to calculate the average rating level received by students:
Components:
Original Rating: The feedback score a student received.
Maximum Rating of Original Scale: The highest possible score on the rating scale used for that feedback.
Standardized Rating for Student: The average of converted ratings for each student, scaled to 100.
Average Feedback Rating Across Students: The mean of all standardized ratings across students, providing a uniform view of performance and a measure of feedback quality and satisfaction.
Example:
Feedback Giving Completion
We use the following formula to calculate the feedback giving completion:
Components:
Total Review Tasks: The total number of review tasks designed for completion within the course.
Total Completed Review Tasks: The sum of all review tasks completed by all students.
Total Students: The number of students enrolled in the course.
Example:
Assuming a course with 30 students, each assigned 5 review tasks (totalling 150 review task instances):
Student A completes all 5 review tasks.
Student B completes 4 review tasks.
Student C completes 5 review tasks, etc.
If in total, 120 review tasks are completed by all students:
Students’ Ratings Table
The students table is designed to give a comprehensive overview of all students’ ratings.
Competency groups as defined in your institutional library rubric will show as columns in the table, split per competency group.
If a rubric is not defined in a shared or institutional library (e.g. stored only in My Library) they will show as other.
The criteria shown per competency group are:
Average rating received (shown as percentage)
Number of received ratings
In the table below, change agent and collaborator are competency groups as defined in the rubric.
Good to Know
Who can use course level analytics?
Course Level Analytics is released under feature flag and available upon request for Tool suite contracted users.
If you or your institution are interested, please reach out to your FeedbackFruits account manager or, if you are a prospective user who has not yet signed a contract, your main FeedbackFruits contact.