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Can predictive analytics be used to support students in HE? Kevin Mayles, Alison Gilmour, Avinash Boroowa The Open University www.pollev.com/kevinmayles233

Predictive Data Analytics https://www.polleverywhere.com/free_text_polls/GFXDCQyAYj6eMdI

Predictive Data Analytics https://www.polleverywhere.com/free_text_polls/GFXDCQyAYj6eMdI

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Group discussion What is predictive analytics?

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Predictive learning analytics Subhead

Creation of actionable insight Impact the student experience Data science, data analysis, visualisation and storytelling Data literacy and culture Data governance and compliance Productionised output and MI Strategic analysis Modelling Data collection Data storage and access Technology architecture Learning design and delivery Student lifecycle management Continuous improvement and innovation Creation of actionable insight Availability of data Impact the student experience

Predictive Modelling: A Pilot at The Open University in Scotland From previous retention initiatives there was: 1. Strong staff support for proactive student support 2. Interest in how we make decisions about targeting students and making best use of limited resource. This led to our objective: To improve the retention rate of ‘at risk’ students as defined by the Strategy and Information Office Predictive Model Explored in a collaboratively designed project involving various staff from different units [Parallel session 3.7.1]

Evaluating a predictive learning analytics intervention: OU Analyse

Group discussion Applications of predictive learning analytics Opportunities and challenges

What are the potential opportunities for predictive analytics to impact the student experience at your institution – what are the problems that predictive analytics could be applied to? What might be some of the challenges that you might face? Data availability – who might you need to talk to – does this represent an opportunity or a challenge? Creation of the predictive models – what opportunities might arise? What challenges might be faced?

In your group pick your top three opportunities and top three challenges

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