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June 2016 Learning Analytics – UDD & DPA Update Unified Data Definition v1.2.4 & our evolving data processing agreement.

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Presentation on theme: "June 2016 Learning Analytics – UDD & DPA Update Unified Data Definition v1.2.4 & our evolving data processing agreement."— Presentation transcript:

1 June 2016 Learning Analytics – UDD & DPA Update Unified Data Definition v1.2.4 & our evolving data processing agreement

2 Data refresher… Historical data (12-18 months minimum) for a Learning Analytics implementation Predictive Model Creation (12-36months – ideal!) & Pilot (Portable) Predictive Model Validation (12months minimum) & Pilot Engagement & activity (xAPI) data – VLE (Bb, Moodle), LMS, AMS and more… No (or not good enough!) historical data? › Confirm/ refine retention and data recycling measures › Guidance on data quality, reduce gaps etc. › Use other predictive models derived from the project – validate now, create later › Evaluate, influence and co-design other LA service offerings – SSP, Student App, dashboards… Individual assignment (coursework) and examination marks required per module – with dates! Data transformation: Tribal, in-house, using off-the-shelf software tool (Kettle, Alteryx…)

3 Tribal Student Insight - Overview Data collection and Data mining Create models Predict and understand Patterns Relationships Trends Behaviours

4 LA Data @ June 2016 Openly available: UDD v1.2.4 - https://github.com/jiscdev/analytics-uddhttps://github.com/jiscdev/analytics-udd UDD v1.3.x – in development - no release for a while! Evaluation & trials of updated VLE plugins: BlackBoard Learn – Bb xAPI (live) & Bb Historical plugins; Moodle – xAPI (live) plugin & historical log extraction (*new* ULCC) UDD data validation via LRW APIs (batch & incremental) Preparation of LRW for large data submissions for predictive modelling Student App – Beta v1.0 release imminent (iOS/ Android) Student App evaluations – currently planned for 3 HEIs (Q3 2016)

5 UDD ER Model Assessment Data Due Dates v Submission Dates Agreed vs Actual Marks Data in the SRS or elsewhere? Partial data only? Turnitin & others?

6 Data Processing Agreement (DPA) Model Creation/ Validation uses identifiable or non-identifiable data Solution dependent - and also HEI technical capability! Pilot Service (business as usual) = uses identifiable as-is student data Concerns around data protection, security, exposure, liability, vendors, storage, brexit…… Jisc & Pinsent Masons LLP – Make way for the DPA! Consultation with several HEIs – May and June 2016 Feedback varies – by region, size of HEI Jisc support & guidance provided per HEI Peace of mind – for all

7 Get involved! Do you foresee any issues or problems with near-LIVE student data capture or timely data extraction for Learning Analytics? Are there any resource implications for you, in making Learning Analytics happen at your institution? Can student assessment information be easily extracted from your system(s) per module/ student? Is the information time indexed? Need Turnitin integration? What other sources/ good indicators of student engagement or activity exist? Attendance monitoring systems, PC logins, any others key footprints?

8 Press Coverage – Times Higher (Feb 2016)

9 Press Coverage – The Independent (June 2016)

10 Press Coverage – Scottish Herald (May 2016)

11 Thank you Rob Wyn Jones – Consultant (Special Projects) Rob.Jones@jisc.ac.uk


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