Learning analytics measures and analyzes data about learners to understand and improve learning. It has applications like early alerts, retention, course recommendations, and adaptive learning. The document discusses learning analytics and the GDPR, noting key GDPR principles like purpose limitation and data minimization. It provides resources on JISC's learning analytics services and guidance on aligning learning analytics with student well-being.

1. LearningAnalyticsandGDPR
Samantha Ahern, UCL

2. Definition
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.
(Siemens & Gasevic, 2012)

3. Applications
 Early Alert and Student Success
 Retention and Progression
 Course Recommendation
 Adaptive Learning
 Curriculum Design

4. Data
https://analytics.jiscinvolve.org/wp/files/2017/02/2017-02-22-Jisc-LAN-Boulton-et-al.pdf

5. JISC
 JISC Data and Analytics Service went live 1st August
2018
 https://www.jisc.ac.uk/learning-analytics
 Learning Analytics Research Group launched
 Inaugural meeting was held on 26th October
 Key areas of interest:
 Student-facing learning analytics solutions
 Student well-being and mental health
 Learning analytics for curriculum enhancement
 Developing the evidence base to support better
understanding of the impact of learning analytics

6. Students as
Data
The data have landed
First they said they needed
data about the children to find out
what they’re learning.
Then they said they needed
data about the children to make sure
they are learning.
Then the children only learnt what
could be turned into data.
Then the children became data.
Michael Rosen

7. Bricks toClicks
https://www.policyconnect.org.uk/hec/research/report-bricks-clicks-potential-data-and-analytics-higher-education

8. GDPR
 Key principles:
 Lawfulness, fairness and transparency
 Purpose limitation
 Data minimisation
 Accuracy
 Storage limitation
 Integrity and confidentiality (security)
 Accountability

9. LA
Guidance
 https://www.jisc.ac.uk/blog/learning-analytics-and-gdpr-what-
you-need-to-know-20-sep-2018

10. And …
 Data visualisation
 Interventions
 Evidence
 Obligation to act?

11. SHEILA
MOOC
http://bit.ly/SHEILAMOOC

12. UKAT
Project
The UKAT Research Committee mentored project ‘What
synergies or conflicts exist between current HEI Learning
Analytics and student wellbeing polices?’ aims to
identify what synergies or conflicts exist between
current learning analytics and student wellbeing policies,
potentially produce some recommendations on how
these services could be better aligned.