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Data Futures Independent Higher Education conference

Paul Clark

29 November 2016

Data is more important than ever for higher education

We are moving from a funding-driven to a data-driven system of regulation

Advances in technology and changes in policy are

leading to increased demand for data

• The sector is more diverse

• Students have more choice

• Economic return is higher priority

The Government has a positive agenda for data

and digital services

• Open data

• Open source tools

• Registers

• APIs

• ‘Government as a platform’

Higher Education Providers need to respond to this challenge

• Improved data capability

• Better data integration

• Better, faster decision-making

• Improved targeting of resources

The UK HE data infrastructure needs to be upgraded to meet future demand

Data Futures

• Improving the collection platform

• Standardising the data model

• Increasing efficiency and speed of operation

Data Futures – overall approach

Detailed Design Phase

Detailed Design

Phase Implementation/Build Finalise Procurement

Alpha Pilot Beta Pilot

Feb

2017

July

2017

HESA Board

Data Futures Programme Board

Data Futures Delivery Group (SMT & DF-PMO)

Data Futures Delivery Team • Data Policy

• Data Management

• Development and

Technical

• Supplier

Programme

Leadership and

Sponsors

Programme

Steering every 4

weeks

Delivery

Team

Data Futures Management Structure

Roadmap for the changes ahead

• Improved collection platform

• Better data linking

• Advanced analytical tools

Advanced analytical tools

HEIDI Labs

Contact details

Paul Clark

[email protected]

@pclarkhesa

Apri 2016 Jisc Learning Analytics

Sarah Davies, Head of higher education and student experience, Jisc

November 2016 Learning from your students and their data

The digital experience matters to students

» Often students' first experiences

» Many courses now hybrid/blended

» Students expect university to prepare them for digital workplaces

» Affects students' sense of wellbeing and belonging

» Students see the digital experience as an opportunity to contribute and get involved

» Need experience of different groups represented

Image by Alejandro Escamilla from https://unsplash.com/@alejandroescamilla

CC-0

Tracker findings – learning and teaching

•72% of students believe

that when technology is used by teaching staff it helps their learning experience

Tracker findings – learning and teaching

In a 6-week period:

• 9 in 10 students found information online

• 8 in 10 students produced work in a digital format

• 5 in 10 students worked online with others

• 3 in 10 students created a personal record of their learning

Students leave behind digital footprints

2/03/

2016

More prosaically

2/03/

2016

What do we mean by Learning Analytics?

• The application of big data techniques such as machine based learning and data mining to help learners and institutions meet their goals.

• Used to:

• improve retention

• improve achievement

• improve employability

2/03/

2016

The case for Learning Analytics

Which behaviours tend to lead to the desired outcome?

2/03/

2016

Stages of learning analytics development

Basic Analytics

What has

happened

Automated

Analytics

What is

happening

Predictive

Analytics

What might

happen

Analytics can identify risk and shine a light

• It can flag at risk students

• Encourage students to seek help

• Help you analyse causes of differential outcomes

• Analyse which interventions work

• But only systematic interventions will make a difference

2/03/

2016

The case for Learning Analytics

Jisc’s learning analytics project

Architecture and service

Toolkit Community

28/1

1/20

16

Jisc learning analytics architecture

Service: Student app

• First version will include:

• overall engagement

• comparisons

• self declared data

• consent management

Bespoke development by Therapy Box

2/03/

2016

The case for Learning Analytics

Toolkit: Code of practice

2/03/

2016

The case for Learning Analytics

Summary and further information

• Learning analytics is not a silver bullet and an ethical approach is essential, but: • It is immediately useful to many HE providers

• Jisc is making it easier to adopt

• There is rich potential for the future

• For more information, see https://analytics.jiscinvolve.org

• Or email [email protected]

2/03/

2016