7th UK Learning Analytics Network meeting, Newman University, Birmingham, 22nd June 2016

My notes from this meeting, comments, corrections and thoughts welcomed.

10:25 – 10:35 Update on Jisc’s learning analytics programme Paul Bailey, Jisc
10:35 – 11:00 Update on data transfer to the learning records warehouse, Uniform Data Definition and Data Processing Agreement Rob Wyn Jones, Jisc
11:00 – 11:15 Tea / coffee
11:15 – 12:00 Learning analytics: implementing an institution wide strategy Kevin Mayles, Open University
12:00 – 12:30 Student Success Plan (Intervention Management Tool) and Student App
Michael Webb, Jisc
12:30 – 13:30 Lunch and product demos from Blackboard, Civitas Learning, Hobsons, Tribal and Solutionpath
13:30 – 14:15 Vendor panel – with representatives from leading learning analytics vendors Richard Burrows, Blackboard
Deepak Colluru, Civitas Learning
Jamie O’Connell, Hobsons
Adam Cooper, Tribal
Richard Gascoigne, Solutionpath
Lindsay Pineda, Unicon
Chair: Niall Sclater, Jisc
14:15 – 15:00 Interventions Raj Chande, Behavioural Insights
14:45 – 15:15 Intervention strategies at your institution – discussion
15:15 – 15:30 Tea / coffee
15:30 – 15:55 Report from Jisc Learning Analytics Pilot Dale Davies, The City of Liverpool College

10:25 – 10:35 Update on Jisc’s learning analytics programme Paul Bailey, Jisc

85+ interested, 35 active, Discovery - agreed 28, completed 20, reported 12, Pre-implimentation 18, Implimentation 7,

New short readiness Questionnaire

Working on new Checklist for Initial Implimentation. This will become a webpage on the blog for anyone to work through.

New activities:

  • Library Analytics Labs (May-Oct 16)
  • College Analytics Labs (Sept 16)
Experimental spaces to explore data models.

Updated architecture map (link in slides to follow)


All development on GitHub and BBcollaborate

Data Explorer: To allow institutions to explore their data. Target: Learning Technologists, Data Analysts. Partner: Touchbox.

10:35 – 11:00 Update on data transfer to the learning records warehouse, Uniform Data Definition and Data Processing Agreement Rob Wyn Jones, Jisc

Historical data (12-18 months minimum) for implementation

  • Predictive model requires 12-36 months
JISC help with the data transformation.

UDD is now at v1.2.4, 1.3.x in development - no relese for a while.

Bb - not just a live plugin but working on a historical data plugin.

UDD data validation via LRW APIs (batch and incremental) pilot in Oct 16.

Student App iOS and Android Beta v1.0 release hopefully in July.

Data Processing Agreement (DPA)

Need more HEIs to back the demand for data to be available from Turnitin!

11:15 – 12:00 Learning analytics: implementing an institution wide strategy Kevin Mayles, Open University

Using historical data on current students to make perdications.

30 variables identified associated with predication:

  1. Demographic
  2. Student - module
  3. Student - previous study / motivation
  4. Qualification / mode of study
  5. Student in previous OU study
All indtegrated into the intervation tool.

Prediction starts with the start of study as some pre start data can identify those who may struggle.

Predictions will work on each assignment in the module not just on the final outcome.

Formative and summative data used.

Predictions generated weekly and each tutor will get acess to their tutees data.

This system has to be set up per module so is not ready to roll out to all of the modules in the OU.

Students want the university to notice them when they are struggling and not have to tell the university they are struggling.
OU found that Socio-constructive Learning design increased retention but decreased student satisfaction.

My thoughts: [Do students perceive hard unpleasant work as better education? - too nice / fun =? not educational worthy?] 

12:00 – 12:30 Student Success Plan (Intervention Management Tool) and Student App Michael Webb, Jisc




13:30 – 14:15 Vendor panel – with representatives from leading learning analytics vendors Richard Burrows, Blackboard; Deepak Colluru, Civitas Learning; Jamie O’Connell, Hobsons; Adam Cooper, Tribal; Richard Gascoigne, Solutionpath; Lindsay Pineda, Unicon; Chair: Niall Sclater, Jisc


14:15 – 15:15 Interventions Raj Chande, Behavioural Insights

Behavioural insights:
E- Easy
A- Attractive
S- Social
T- Timely

Letter - directing people to webpage which has a form on it, somewhere => Letter directing people directly to the form they're required to complete.

Some great examples how little changes to how you present the information can have a huge effect on outcomes.

Experiment! try a change and monitor effect.

15:30 – 15:55 Report from Jisc Learning Analytics Pilot Dale Davies, The City of Liverpool College

Wanted to find way to provide teachers with more insight
Engage teachers and students with the concept of LA.

SmartRoom
Incubator for future technology and pedagogy improvements eg Office 365
Linked to a JISC LA project
Timetabled for curriculum delivery since sept.
Interim report on progress now complete

Wanted to also use sensors (eg fitness bands) to monitor student engagement.
Shuffle Sensor on the seats.

Map this against video and audio of the class.


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