This document discusses big data and learning analytics in education. It notes a shift from simply collecting data to connecting data from multiple sources, both structured and unstructured. It also discusses developing data-informed mindsets and the management and use of real-time data. Finally, it references resources from JISC Cetis on the landscape of analytics in education and practical guidance on using analytics, including addressing topics like whole institutional issues, research, teaching and learning, and skills and literacies.

1. Confronting Big Data and
Learning Analytics
ALT-C 2012
Sheila MacNeill
Assistant Director

2. Big data and analytics in education
 Shift from data collecting to data connecting
 Develop data informed mind–sets
 Integration of multiple (structured and unstructured) data
sources
 Management and use of real-time data
 ((http://blogs.cetis.ac.uk/cetisli/2011/12/14/big-data-and-
analytics-in-education-and-learning/)

3. JISC Cetis view of the landscape

5. Analytics Reconnoitre
 Practical guidance of/for uses of analytics
 Who, why, what, where, when and how
 Audience: first movers and early adopters
 Topics: whole institutional issues, research, teaching and
learning, legal and ethical issues, skills & literacies, professional
development, technology and infrastructure
 http://jisc.cetis.ac.uk/topic/analytics