1. A Griffith Story In God we trust, all others must bring data” Demming Informing Academic Development via Analytics

2. The Griffith Journey in layers… Enterprise level (LMS Adoption - Tools & Activity) Course level (Markers for Student engagement &Success) Teaching level (Adaptive Learning, Teaching & design)

3. Siemens set the scene in 2010 Siemens, George, What are Learning Analytics? eLearnspace, 25 August 2010. downloaded 15 May 2012 http://www.elearnspace.org/blog/2010/08/25/what-are-learning- analytics/ http://www.elearnspace.org/blog/2010/08/25/what-are-learning- analytics/

4. Griffith started a little earlier… LMS Adoption, Student Engagement & Academic Capability Building LMS Adoption, Student Engagement & Academic Capability Building 2008 2010

5. The iterative road…and who is involved 2008 Blended Learning Strategy LMS Evaluation Framework 2009 LMS Query Development Activity Report Generation 2010 Jpoll: Real time in-class analytics WHO: Blended Learning Advisors | LMS Teams | Innovation Projects Team

6. 2011 Revised LMS Evaluation Framework Pilot JPoll 2012 Enterprise JPoll 2013 Eesysoft Evaluation (Academic Activity Monitors) WHO: Academic Groups| IT & Library Help | Vendors | Learning Futures

7. 2014 Smart Sparrow Innovations 2015 Blackboard Analytics Project 2016 Blackboard Analytics Roll Out WHO: Individual Academics| Project Management Office| Learning Futures

8. Analytics in Practice LMS Adoption (Tools & Activity) Report Generation (Eesysoft and/or LMS query reports) each Semester – indicative data BLA / LF /Teaching Team Analysis Target Programs and Courses Provide targeted Academic Development activities

10. Analytics in Practice Teaching level (Adaptive Learning & design) Jpoll – in class adaptive teaching LMS Statistics – content/tool/curriculum adaption Innovation pods – Smart Sparrow Adaptive Learning Modules TEL Initiative 2016: Adaptive Design (in progress) Smart Sparrow enterprise evaluation Blackboard Analytics Roll out

11. Things we’ve learned on the journey… Analytics is an evolving field, iteration is crucial Analytics for L&T are layered and feed into multiple outcomes Roll out strategies should be staged & focused (groups/tools/use) Analytic Implementations involve multiple roles across the University

12. Resources Student Response Systems (TEL Site) https://www.griffith.edu.au/learning-teaching/teaching-and-learning/technology-engaged-learning/tools-resources/student-response-systems NMC Horizon Report 2013 Higher Education Edition. Retrieved October 26, 2013, from http://net.educause.edu/ir/library/pdf/HR2013.pdf “Let’s Talk Analytics” OLT Framework http://www.letstalklearninganalytics.edu.au/wp-content/uploads/2015/06/Lets-Talk-Learning-Analytics-Framework-Final-26-May-2015.pdf