Jisc learning analytics service oct 2016
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Transcript of Jisc learning analytics service oct 2016
Paul Bailey, Senior Codesign Manager, Research and DevelopmentJisc learning analytics service
http://www.slideshare.net/paul.bailey/
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Learning Analytics
What is learning analytics?
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“learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs”SoLAR – Society for Learning Analytics Research
Library Analytics ServiceLearning Analytics Sophistication Model
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Analytics categories by interventionImprove individual student performance - interventions aimed directly at learners Improve teaching and learning quality - interventions aimed at curriculum designImprove support systems and process - interventions aimed at support staff and the process around support staff and students. Develop strategy - interventions required to improve the performance of the institution
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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:
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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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DashboardsDashboards for different users of the analytics Administrators to see over all activity Course tutors to view and compare
students Student view to see engagement
activity
Based on either commercial tools from Tribal (Student Insight) or open source tools from Unicon/Marist or other providers of learning analytics products
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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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Discovery readinessTopic I
DQuestion Commentary Response Scor
eLeadership
1 The institutional senior management team is committed to using data to make decisions
Please provide a commentary on you response to each question where appropriate
0 - Hardly or not at all1 - To some extent2 - To a great extent
Leadership
2 Our vice-chancellor / principal has encouraged the institution to investigate the potential of learning analytics
0 - Hardly or not at all1 - To some extent2 - To a great extent
Leadership
3 There is a named institutional champion / lead for learning analytics
0 - No2 - Yes
Vision
4 We have identified the key performance indicators that we wish to improve with the use of data
0 - Hardly or not at all1 - To some extent2 - To a great extent
A supported review of institutional readiness
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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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