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Data visualisation with predictive learning analyticsChris BallardInnovation Consultant (Analytics)
Background Predictive analytics Visualisation goals and issues Examples Guidelines
Agenda
R&D Partnership Objective
• Predictive models for student success
• Map to retention themes
• Visualisation
Data
• VLE Activity• Library
Activity• Student MIS• Open data
Background
• Retrospective
• What happened?
Historical
• Reactive• Why?
Present • Proactive• What next?
Predictive
Use of data in Learning Analytics
When used together enables improved insight into student learning
Understand student learning based on what we know now and what might happen
Adaptive Learning Platforms
Predicting student success and at risk students
Course recommendation
Using predictive analytics in education
Goals
Identify earlier students who are at risk of failure or dropping out
Understand the factors which influence student success
Simple data visualisations to help staff to support students
Actionable insights Interventions Monitoring
Predicting student success
Issues with predictive models
They tell us what might happen, not what will happen
They are not infallible Cannot always generate predictions Need careful interpretation
Predicting student success
Appropriate visualisation is critical to its successful interpretation
Predictions need to be combined with experience and knowledge of the student
Data visualisation examples
Analytics that adapts to the user
Monitoring courses and modules
Identifying students at risk for a course
Identifying students at risk for a module
Using “traffic lights” to highlight risk: Colours can be emotive Accessibility issues
Displaying probabilities More vs Less granular information Does this aid interpretation?
Design considerations
Understand the factors which influence success
Visualisations which are easy to interpret
Overlaying predictive and historical analytics
1. Visualisations should be simple to interpret
2. Adapt content to the user3. Indicate how prediction is built up4. Bridge the gap between predictive and
historic data5. Enable users to respond and take
action6. Allow users to monitor the
effectiveness of their actions
Design Guidelines
Cross browser Responsive user
interface Support for
different devices (mobile, tablet, PC)
Touch friendly
Technology Guidelines
Thank [email protected]@tribalgroup.comwww.triballabs.netwww.tribalgroup.com