Learning Analytics

Understanding then optimizing learning

Learning analytics includes: educational theory and practice, SNA, data mining, machine learning, semantic, data visualisations, sense-making, psychology (social, cognitive, organisational) and learning science. By collecting data from multiple points we can ask, what patterns exist and what do they indicate? Then, if changes are applied, what happens?

In our case we want to target at-risk students, prevent attrition and understand what affects learning and teaching. Yes it's complex; but we are working to distil the information we obtain into a dashboard, and so turn information in to knowledge.

Read more about Learning analytics at UniSA (PDF 521Kb)

Want to know more? Or perhaps you're interested in joining the Learning Analytics User Group. Send us your request

In the meantime, here's a great site to get you started LASI: Learning Analytics Summer Institute on Google+

‘Developing insights into learning – What can learning analytics offer?’

Inaugural Lecture by Professor Shane Dawson

The high growth in adoption of education technologies such as learning management systems (LMS) across the education sector has resulted in alternate and more accessible data on learning and teaching practice. As with most online systems, student interactions via the LMS are routinely captured and stored. These digital footprints can be ‘mined’ and analysed to reveal insights into the student learning process. As teachers and students engage more with digital resources and tools we are seeing a parallel rise in research associated with learning analytics, data mining, and learning sciences more broadly. Learning analytics in particular has had strong resonance across the education sector. This presentation will introduce the field of learning analytics and discuss a set of case studies to illustrate the diversity of research ranging from the provision of early alert systems towards more flexible and personalized learning opportunities.


learnonline dashboard for learning analytics

When you logon to myUniSA Teaching you'll see the learnonline dashboard, designed to give you an immediate "picture" of how students are performing in your course. A lot of the data is self-evident; but, if you want to know how to really drill down in to the information we have an excellent help resource to guide you.

learnonline dashboard


Learning analytics overview: Building evidence based practice

Professor Shane Dawson, HERDSA Workshops 2013

View more on slideshare


Benchmarking Learning Analytics in Australia

Professor Shane Dawson, OLT Project 2015

View project website

Papers & presentations

Useful websites

Snodgrass Rangel, V., Bell, E., Monroy, C. and Whitaker, J. (2015). Toward a New Approach to the Evaluation of a Digital Curriculum Using Learning Analytics.Journal of Research on Technology in Education, 47(2), pp.89-104.

Society for Learning Analytics Research SoLAR

Daniel, B. (2014). Big Data and analytics in higher education: Opportunities and challenges.
Br J Educ Technol, p.n/a-n/a.

Learning Analytics Summer Institutes LASI

Atkinson, S. (2015). Adaptive Learning and Learning Analytics: a new learning design paradigm.
(BPP University Working Papers)

Learning Analytics and Student Retention (Australian)
Let's talk LA

Beattie, S., Woodley, C., & Souter, K. (2014) Creepy Analytics and Learner Data Rights.
In B. Hegarty, J. McDonald, & S.-K. Loke (Eds.), Rhetoric and Reality: Critical perspectives on educational technology. Proceedings ascilite Dunedin 2014 (pp. 421-425).

Official website of the Higher Ed Online Analytics Revolution
 HigherEd Analytics

Pardo, A. (2015) Using data to support active learning experiences.
UniSA Learning Breakfast presentation August 2015

Learning Analytics Community Exchange (Europe)