Panel Session at Learning Analytics and Knowledge Conference 2013
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Panel Session at Learning Analytics and Knowledge Conference 2013

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  • 1. LAK 2013 Presenter or main title…Recent and Desired Future Trends in LA Session Title or subtitle…16.45 Myles Danson Programme Manager, Technology Enhanced Business Change
  • 2. Jisc Myles and Sheila. What, Who? Shared Service
  • 3. Early Characteristics New(ish) Field Beacons of excellence Narrow applications Promise of great things Little coordination of effort
  • 4. Early Characteristics Little evidence for business cases Reliance on the implicit More holes than net New terminology New roles Intra community excitement Extra community confusion
  • 5. Current Opportunities Early adopter opportunities and issues Grass roots interventions Nurturing Peer support Collaboration Shared problem identification & solving LAK 13, SOLAR, Educause, Jisc, SURF etc
  • 6. The Challenge A Cycle of innovation Through to embedding
  • 7. Business Intelligence (BI) comprises evidence-based decision-making and the processes that gather, present, and use thatevidence base. It can extend from providing evidence to support potential students’ decisions whether or not to apply for a course, through evidence to support individual faculty and staff members, teams and departments, to evidence to support strategic decisions for the whole organisation. Analytics is the highest level of BI maturity - the process of developing actionable insights through problem definition and the application of statistical models and analysis against existing and/or simulated future data
  • 8. Organisational Development Utilise readiness / maturity frameworks Organisations and Individuals Work through representative bodies? Shoot high (SMT, Policy, Governance) Feed in the innovation
  • 9. Project Reality (Austerity) Check Beneficiaries – will your project benefit a sufficiently wide range of people Reality of benefit delivery in the timescale Reality of sustaining the outputs Value to the sector Innovativeness and benefits
  • 10. Benefit Examples• Improved quality and reduced risk (anecdotal and quantitative) Improved decision-making (anecdotal) Better strategic planning (anecdotal) Better risk management (anecdotal) Competitive advantage (quantitative) Income generation (quantitative) Efficiency gains (quantitative) Performance benchmarking (anecdotal and quantitative) Student satisfaction (quantitative) Student retention (quantitative) League table ranking (quantitative) Cash savings (e.g. from retired software, hardware, redeployed staff) Income generation (quantitative) Improved speed and efficiency (anecdotal and quantitative)
  • 11. In Summary Coordinate an innovation – embedding cycle Focus on the benefits (which and to whom and how) Co Design and partnerships (include vendors, stakeholder bodies) Business case for investmen Policy and governance Organisational AND individual readiness issues Keep up the grass routes innovation