benchmarking learning analytics in australia

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National project to benchmark LA status, policy and practices for Australian Universities Shane Dawson

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Page 1: Benchmarking Learning Analytics in Australia

National project to benchmark LA status, policy and practices for Australian Universities

Shane Dawson

Page 2: Benchmarking Learning Analytics in Australia

Thanks

◼ University of South Australia❯ Cassandra Colvin, Tim Rogers, Alex Wade

◼ University of Edinburgh❯ Dragan Gasevic

◼ Macquarie University❯ Lori Lockyer

◼ University of Technology Sydney❯ Shirley Alexander, Simon Buckingham Shum, Gabrielle Gardiner

◼ University Melbourne❯ Gregor Kennedy, Linda Corrin

◼ University of the Sunshine Coast❯ Karen Nelson

◼ University of New England❯ Josie Fisher

Page 3: Benchmarking Learning Analytics in Australia

Introduction

Massive interest and investment in data and analytics

• Academic performance• Student retention• Pastoral care• Academic literacies• Personalised and adaptive learning• Recommender systems

Page 4: Benchmarking Learning Analytics in Australia

Introduction

Yet in terms of wide-scale institutional adoption there are few examples

Why?

Page 5: Benchmarking Learning Analytics in Australia

Aims

◼ Understand current LA practice in Australia

◼ Unpack the challenges to institutional adoption

◼ Identify practices to facilitate LA implementations

Page 6: Benchmarking Learning Analytics in Australia

Approach

2 complementary but separate studies

◼ Study 1 – interviews with senior institutional leaders◼ Study 2 – concept mapping with LA expert panel

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Study 1

First studyInterviews with 32 Universities:

◼ Identify and document current practices, methods and approaches

◼ Understand how institutional leaders are defining and conceptualising LA

◼ Identify key drivers for institutions, stage of development, process for implementation, project leads

Page 8: Benchmarking Learning Analytics in Australia

Study 1

◼ Much interest in LA and a stated priority◼ LA projects in the early phases of implementation◼ Projects were small scale ◼ 2 distinct clusters across variables such as:

implementation, conceptualisation, readiness, leadership, stakeholder engagement❯Strategic capability

Cluster 1 (n=15) – Solutions focusedCluster 2 (n=17) – Process focused

Page 9: Benchmarking Learning Analytics in Australia

Strategic capability

Page 10: Benchmarking Learning Analytics in Australia

Strategic capability

1. Solutions focused❯LA to address a pressing need❯Time sensitive

2. Process focused❯Networked and integrated model❯Minimal time pressures❯ Innovation and experimentation

Page 11: Benchmarking Learning Analytics in Australia

Study 2

What are the ideal dimensions for long term sustainable uptake of LA?

◼ Invite to Australian and international LA experts◼ 28 completed the entire concept mapping phases◼ 3 phases – brainstorming; sorting and ranking

of statements◼ Following the final ranking phase – a 7 cluster

solution emerged.

Page 12: Benchmarking Learning Analytics in Australia

Bringing it together

◼ Study 1 – 2 clusters ◼ Study 2 – 7 clusters

Essentially – how an organisation approaches its conceptualisation of LA underpins (2 clusters) the method for deployment and adoption (7 clusters)

Page 13: Benchmarking Learning Analytics in Australia

Systems Model

Page 14: Benchmarking Learning Analytics in Australia

Systems Model

Page 15: Benchmarking Learning Analytics in Australia

Systems Model

Page 16: Benchmarking Learning Analytics in Australia

Bringing it together

Challenges to be addressed:

◼ Leadership awareness and understanding◼ Teams are seldom multi-disciplinary◼ IT driven and system focused◼ Capabilities and skills deficit◼ Over reliance on current research – requires further

validation across different contexts to demonstrate transportability of models

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Complexity

Leveraging the outcomes of short term goals for long term gain

◼ How do we merge both models to gain both short and long term impact?

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Conclusion

◼ LA requires alternate models for implementation and leadership❯Enabling leadership❯Whole of organisation❯Models that are agile and research informed

◼ Working in complexity creates friction❯Embrace the friction – generates innovation

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Conclusion

◼ A solutions based model can drive change – but need to be mindful of responding to changing organisational needs

◼ Process based model can drive innovation and interest – but need to be mindful of how to transition from small impact to institutional scale

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Conclusion

◼ Combined model framed in the organisational context❯Small, diffuse pockets of innovation to build

capacity and build interest❯View to scale adoption – demonstration of

impact (technical, pedagogical)❯Distributed enabling leadership (complexity

leadership)❯Organisations leading in LA implementations – are

actively researching LA

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Conclusion

Any “successful” adoption of LA will be dependent on an institution’s ability to rapidly recognise and respond to the organisational culture and the concerns of all stakeholders.

Page 22: Benchmarking Learning Analytics in Australia

Contact details:

[email protected]◼ Twitter: shaned07◼ http://he-analytics.com/