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Paul Bailey, Senior Codesign Manager, Research and DevelopmentJisc learning analytics service
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About Jisc…
It operates shared digital infrastructure and services, negotiates sector-wide deals with IT vendors and commercial publishers, and provides trusted advice and practical assistance for universities and colleges.
Jisc is the UK higher and further education sectors’ not-for-profit organisation for digital service and solutions.
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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 – Jisc covering hosting,
licencing and support costs)»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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Toolkit: Learning analytics
http://repository.jisc.ac.uk/5657/1/Learning_analytics_report.pdf
The current state of play in UK higher and further education
UAL Jisc Learning Analytics Service 9Toolkit: Learning Analytics in Higher Education: A review of UK and international practice
Including case studies on Traffic Lights and Interventions: Signals at Purdue
University Analysing use of the VLE at the University of Maryland,
Baltimore County Identifying at-risk students at New York Institute of
Technology Fine-grained analysis of student data at California
State University Transferring predictive models to other institutions
from Marist College Enhancing retention at Edith Cowan University Early alert at the University of New England Developing an ‘analytics mind-set’ at the Open
University Predictive analytics at Nottingham Trent University Analysing social networks at the University of
Wollongong Personalised pathway planning at Open Universities
Australiahttps://www.jisc.ac.uk/reports/learning-analytics-in-higher-education
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Learning Analytics Service Architecture
Student Learning Analytics App 11
Data collection
About the student Activity data
TinCan (xAPI)ETL
Student Learning Analytics App 12
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Toolkit: Data structures and definitionsContains the Student Unified Data Definitions and the Jisc xAPI recipes (for learner activity data)The main branch contains the latest agreed versions»Other branches contain versions in developmentContributions and modifications are welcome!https://github.com/jiscdev/learning-analytics
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Getting involved…From Sep 2016:»“Readiness toolkit” with a diagnostic set of questions and
support materials leading to implementation»Start-up guidelines to get ready for learning analytics
implementationFurther details will be announced via the email list: [email protected]
Contacts
Paul Bailey [email protected]
Further Information: http://www.analytics.jiscinvolve.org
Join: [email protected]
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