1. Jisc Learning Analytics
Apri 2016
Go to ‘View’ menu > ‘Header and Footer…’ to edit the footers on this slide (click ‘Apply’ to change only the currently selected slide, or ‘Apply to All’ to change the footers on all slides).
To change the image on this slide:
Click once on the image to select it, and then delete it
Drag a replacement picture to the placeholder or click the icon in the centre of the placeholder to browse for & add another image
Once you have added your replacement image, you may need to put it into the background so that it doesn’t cover other items on the slide. Do this by right-clicking on the new image and choosing ‘Arrange’ > ‘Send to Back’ from the contextual menu
Jisc Learning Analytics
May 2017
Update

2. Data Sources - What Next? uXAPI LRW, Data Explorer and Study Goal
Update
Data Sources - What Next?
uXAPI
LRW, Data Explorer and Study Goal
Processes
Benchmarking
Aggregator

3. Data Sources

4. Data Sources - What Next
Next focus on:
Attendance
Library
Interventions

5. + xAPI Statement Templates + example dashboards = good xAPI Statements
Getting the data right!
Sample Data
+ xAPI Statement Templates
+ example dashboards
= good xAPI Statements

7. Attendance, Library, Interventions: UxAPI
1. Data provided to in simple tab separated format:
2. UxAPI converts to xAPI
3. Data can then used in Data Explorer, Study Goal, or any other analytics application

8. Study Goal Attendance Demo

9. Product Process
Study Goal, Data Explorer
LRW

10. Data Explorer, Study Goal and LRW Processes
Overall steering group
User groups being established
Each product has Jisc internal product owner
Monthly release schedule
Users submit bugs and feature requests
Scheduled in monthly releases
Transparent tracking via Product Plan.

11. Steering Group
Study Goal Group
DataX User Group
Study Goal Group
Study Goal Group
Feature Request
Product Owner
Prioritising
Prioritised List
Product Roadmap
Monthly Sprint Planning/Review
Monthly Release

12. Benchmarking

13. What anonymous benching marking is useful to you?
Benchmarking
What anonymous benching marking is useful to you?
Comparison to aggregated peer data?
Who does x compared to the average?
VLE Use? Attendance?
Does your data correlate in the same way?
How inclusive are you compared the average or peers?

14. Anonymous benching marking is hard! We think it’s doable!
Benchmarking
Anonymous benching marking is hard!
We think it’s doable!
We’ll be looking for people that want to work with us on this.