Learning Analytics - An Overview of a Research Community
1. Learning Analytics
Presentation to IET SSST
Doug Clow, 12 November 2012
This work by Doug Clow is licensed under a Creative Commons Attribution 3.0 Unported License.
2. What is learning analytics?
• 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
– First International Conference on Learning Analytics And Knowledge (LAK11), Banff, Alberta,
Feb 27-Mar 1 2011 .
3. • Learning analytics
• Learner analytics
• Academic analytics
• Business Intelligence
• Educational Data Mining
• Web analytics
• Social network analysis
• Predictive modeling
• Latent semantic analysis
• … and more!
(cc) gareth1953 http://www.flickr.com/photos/gareth1953/5477477947/
4. • An abundance of data
• Qualitative and quantitative
• To improve learning
5. • Predictive modeling, datamining (Blackboard)
• Fit students in to one of three risk groups
=> traffic light
• Trigger for intervention emails
• Consistent grade performance improvement
8. SNAPP
• Social Networks Adapting Pedagogic Practice
• Network visualisations of forum activity data from VLE
• See patterns
• Spot central and
disconnected
• Identify at-risk
• Improve teaching
Data mining, academic analytics, learner analytics – focus here is on the learning, not the management and administration of learning International profile
Predict students at risk of non-completion OU data, mainly VLE Clickstream predictive – if your usage drops (absolute level not so good) Not submitting a TMA is predictive, low mark too Easier to predict non-completion earlier than later (not submitting the first TMA is a worse sign than not submitting the last)
Builds on Neil Mercer, content analysis
Speed and length of cycles: instant feedback as you learn, through to govt policy