Jisc learning analytics service sept2016

Paul Bailey, Senior Codesign Manager, Research and DevelopmentJisc learning analytics service

http://www.slideshare.net/paul.bailey/

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Effective Learning Analytics ChallengeRationale»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 experienceTimescale»2015-16—test and develop the tools and metrics»2016-17—transition to service (freemium)»Sep 2017—launch, measure impact: retention and achievement

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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:

For our project: » Improve retention (current project)» Improve attainment (current project)» Improve employability (future project)»Personalised learning (future project)

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Jisc’s Learning Analytics ProjectThree core strands:

Learning Analytics Service

Toolkit Community

Jisc Learning Analytics

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Community: Project Blog, mailing list and network eventsBlog: http://analytics.jiscinvolve.org

Mailing: analytics@jiscmail.ac.uk

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http://www.jisc.ac.uk/guides/code-of-practice-for-learning-analytics

Toolkit: Code of Practice

http://repository.jisc.ac.uk/5661/1/Learning_Analytics_A-_Literature_Review.pdf

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Learning Analytics Service Architecture

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DashboardsVisual tools to allow lecturers, module leaders, senior staff and support staff to view: » Student engagement» Cohort comparisons» etc…

Based on either commercial tools from Tribal (Student Insight) or open source tools from Unicon/Marist (OpenDashBoard)

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First version will include: »Overall engagement»Comparisons»Self declared data»Consent management

Bespoke development by Therapy Box

Student App

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Stats – Provides an engagement and attainment overview and drilling down to gives comparative activity graphs.

Log – Allows you to log time spent on specified activities e.g. reading for an assignment

Target – Allows you set personal targets to improve your engagement e.g. study for 10 hours this week

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Alert and Intervention SystemTools to allow management of interactions with students once risk has been identified:

» Case management» Intervention management» Data fed back into model» etc…

Based on open source tools from Unicon/Marist (Student Success Plan)

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On-boarding Process

Stage 1: OrientationStage 2: DiscoveryStage 3: Culture and Organisation SetupStage 4: Data IntegrationStage 5: Implementation Planning

https://analytics.jiscinvolve.org/wp/on-boarding/

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Data collection

About the student Activity data

TinCan (xAPI)ETL

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On-boarding Process

Data Visualisation Dashboards

Ready to implementReady to

implement

Contacts

Paul Bailey paul.bailey@jisc.ac.uk

Further Information: http://www.analytics.jiscinvolve.org

Join: analytics@jiscmail.ac.uk

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