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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: [email protected]
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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 [email protected]
Further Information: http://www.analytics.jiscinvolve.org
Join: [email protected]
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