Introductory presentation used at the FE Learning Analytics workshop

1. Aston Conference Centre, Birmingham
Learning Analytics for FE and Skills» 14 April 2015

2. Objectives
2
The purpose of the day will be to:
• Prioritise the user stories for FE.We currently implement learning analytics
models to predict students at risk of failing or not achieving their potential.
We’d like to know what else you are interested in and agree a prioritised list
we can start to explore
• Identify and prioritise the data sources and systems we will need to
integrate to undertake the analytics user stories.We are currently focusing
on the student information,VLE data, attendance data and library
information. However we’d like to know what systems you are using that
need to be integrated e.g. BKSB and prioritise the work required
• Establish a reference group

3. Agenda
3

4. 4
“learning analytics is the measurement,
collection, analysis and reporting of data
about learners and their contexts, for
purposes of understanding and
optimising learning and the
environments in which it occurs”
SoLAR – Society for Learning Analytics Research

5. 5
Moodle Grade
Tracker

6. Related Jisc Projects
Destinations Data Project for FE Business Intelligence Project (HE)
6

7. 7
Data sets
Student
Demographic
Prior
Attainment
In-year
progress
Attendance VLE access …others
Labour
Market
Intelligence
BIS Outcomes
Based Success
Measures
Local
contextual
data
AoC
Dashboards
Ofsted
Dashboards
…others
Local
External

8. 8
Drivers
• Learners
demographic, age, ethnicity, needs, …
widening participation agenda
• Funding
success rates, positive destinations, …
• Local Job Market
labour market intelligence, …
• Growth Potential
capacity for developing specific areas of provision, apprenticeships, …

9. 9Learning Analytics Sophistication Model (FE)