Implementing analytics - Paul Bailey, Tessa Rogowski and Roy Currie
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Led by Paul Bailey, senior co-design manager, Jisc. With contributions from: Tessa Rogowski, Assistant director - IT services, University of Essex Roy Currie, director of information and learning technologies, Bedford College Connect more in Nottingham, Tuesday 12 July 2016.
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Implementing analytics - Paul Bailey, Tessa Rogowski and Roy Currie
- 2. Implementing analytics Learning analytics, the Jisc platform, organisational readiness
- 3. Overview of session »Overview of the Jisc learning analytics initiative »Tessa Rogowski, IT Services, University of Essex »Roy Currie, Director of Information and Learning Technologies, Bedford College »Questions 13/07/2016 Implementing analytics
- 4. Implementing analytics Overview of the Jisc learning analytics initiative 13/07/2016 Implementing analytics
- 5. Effective learning analytics challenge » Rationale › Organisations wanted help to get started and have access to standard tools and technologies to monitor and intervene » Priorities identified › Code of Practice on legal and ethical issues › Develop basic learning analytics service with app for students › Provide a network to share knowledge and experience » Timescale › 2015-16—test and develop the tools and metrics › 2016-17—transition to service (freemium) › Sep 2017—launch, measure impact: retention and achievement 13/07/2016 Implementing analytics
- 6. What do we mean by learning analytics » The application of big data techniques such as machine learning and data mining to help learners and institutions meet their goals » For our project › Improve retention (current project) › Improve attainment (current project) › Improve employability (future project) › Personalised learning (future project) 13/07/2016 Implementing analytics
- 7. Toolkit and community » Blog: http://analytics.jiscinvolve.org » Reports › Code of practice for learning analytics › The current state of play in UK higher and further education › Learning analytics in higher education: a review of UK and international practice » Mailing list: analytics@jiscmail.ac.uk » Network meetings 13/07/2016 Implementing analytics
- 8. Learning analytics architecture » Cloud based » Modular approach » Various best of breed suppliers » Organisations select options that suit them best » All data remains securely accessible to owner only » Scalable and expandable 13/07/2016 Implementing analytics
- 10. Current engagement » Expressions of interest: 85 » Engaged in activity: 35 » Discovery to Sep 2016: › Agreed: 28 › Completed: 18 › Reported: 17 » Learning analytics pre-implementation: 12 » Learning analytics implementation: 7 13/07/2016 Implementing analytics
- 11. Future engagement » From Sep 2016: › “Readiness toolkit” with a diagnostic set of questions and support materials leading to implementation › Start-up guidelines to get ready for learning analytics implementation » Further details will be announced via the email list: analytics@jiscmail.ac.uk 13/07/2016 Implementing analytics
- 12. Implementing analytics Tessa Rogowski, IT Services, University of Essex 13/07/2016 Implementing analytics
- 14. Learner Analytics - the Journey Why are we doing it? Discovery process – what it was - what we have got out of it, how did it help? Policies. What did I get from it. Project set up. Senior stakeholder buy in.
- 15. Why are we “doing” Learner Analytics? The data Technology Obligation Students!
- 17. The discovery process 26th March 2014 – a Gartner paper. JISC Expressions of interest 5th July 2015. Institutional buy in. 3 day workshop 16th November with Senior stakeholder representation. Report received and interpreted.
- 18. Subsequent activities. Ethical policy for Learner Analytics with SU and legal experts Investigation of the Market place, simultaneously with: Preparing a project mandate to seek funding
- 19. Where are we now? • Project proposal with funding outlined. • Ethics policy seeking final round of approval. [Education Committee] • Development team prepared
- 20. Implementing Analytics Roy Currie, Director of Information and LearningTechnologies, Bedford College 13/07/2016 Implementing analytics
- 21. jisc.ac.uk Except where otherwise noted, this work is licensed under CC-BY-NC-ND Information at analytics.jiscinvolve.org Paul Bailey paul.bailey@jisc.ac.uk Announcements on analytics@jiscmail.ac.uk Contacts 13/07/2016 Implementing analytics
Editor's Notes
- What do we mean by learning analytics. The service we are developing will collect data and undertake statistical analysis of historical and current data derived from the learning process to create models that allow for predictions that can be used to improve learning outcomes. Models are developed by “mining” large amounts of data to find hidden patterns that correlate to specific outcomes E.g. Mine VLE event data to find usage patterns that correlate to course grades The service will provide predictive models initially for retention (identify students at risk of failing) and attainment (identifying students at risk of not achieving a specified level of attainment). In the future we will look to offer predictive models to support employability and personal/adaptive learning.
- The project consists of the learning analytics architecture (next slide), a toolkit and community. These consist of a blog with reports and information to assist institutions with readiness to implement learning analytics and technical implementation of the Jisc service. There are three reports all linked from the blog a Code of Practice for Learning Analytics, A report from 18 months ago that reviewed current state of learning analytics in the UK and a more recent report on the evidence base for the effectiveness of learning analytics with 12 international case studies. If you want to be involved and keep informed about the development of the service then join the analytics jiscmail list We also hold quarterly network meetings which are promoted via the blog and jiscmail list
- Overview of learning analytics architecture. Red items are components that will include the tools in the project (Tribal student insight, Unicon/Apereo LAP and Student Success Plan, Student App) but also alternative third party or institutional tools.
- We have ~400 people on the Jiscmail list and a pipeline of interested institution's (50+ HE, 20+FE). We are actively engaging with 35 institutions, 28 in discovery institutional readiness and 12 in beta implementations.
- From Sept 16 we’ll be introducing a new institutional readiness process to help institutions get ready for implementing learning analytics. This will consist of an overview workshop to introduce the service and an diagnostic assessment tool, institutions will complete the assessment tool and then undertake appropriate actions to address recommendations. For institutions who are ready to start implementation there will be set of guidelines to get set-up with data collection and visualisations, ready to implement a predictive analytics solution and the student app. Details will be announced via the jiscmail list – so join it to participate.