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

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Presentation transcript:

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

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

Siemens set the scene in 2010 Siemens, George, What are Learning Analytics? eLearnspace, 25 August downloaded 15 May analytics/ analytics/

Griffith started a little earlier… LMS Adoption, Student Engagement & Academic Capability Building LMS Adoption, Student Engagement & Academic Capability Building

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

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

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

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

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

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

Resources Student Response Systems (TEL Site) NMC Horizon Report 2013 Higher Education Edition. Retrieved October 26, 2013, from “Let’s Talk Analytics” OLT Framework