jisc learning analytics service oct 2016

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

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

Library Analytics Service

Learning Analytics

What is learning analytics?


“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


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


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


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)


Jisc’s Learning Analytics ProjectThree core strands:

Learning Analytics Service

Toolkit Community

Jisc Learning Analytics


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

Mailing: [email protected]


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






Learning Analytics Service Architecture


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


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

Bespoke development by Therapy Box

Student App


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


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)


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/


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


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


A supported review of institutional readiness


Data collection

About the student Activity data

TinCan (xAPI)ETL


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]


mailto:[email protected]

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

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

http://elevator.jisc.ac.uk/

jisc learning analytics service oct 2016

Education