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Join the analytics party - exploring the full potential of using data to support learning

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Speakers:

Phil Richards, chief innovation officer, Jisc
Rob Wyn Jones, senior data and analytics integrator, Jisc
As learning analytics starts to move from a few early adopters to wide scale adoption many institutions want to know are they too late to the party or missed the boat already? What is the full potential of using data to support learning, teaching or an institutions strategic development?

This session will:

Outline the strategic importance of data and analytics
Outline the role the Jisc analytics services can play working with your institution, sector bodies and commercial suppliers
Enable you to discuss with early implementers of analytics services to learn from their experience

Published in: Education
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Join the analytics party - exploring the full potential of using data to support learning

  1. 1. Join the learning analytics party! Exploring the full potential of using data to support learning
  2. 2. > >Slide Introduction >Strategic importance of learning analytics >What problems could we solve? >Evidence that it works >Business case >Jisc national learning analytics >What Jisc is doing now >The future >Where it could lead 14/03/2017 Join the learning analytics party!2
  3. 3. > >Slide Strategic importance of learning analytics Dr. Phil Richards,Chief innovation officer, Jisc 14/03/2017 Join the learning analytics party!
  4. 4. > >Slide 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: >Eg: >Improve retention >Improve achievement >Improve employability >Reduce differential outcomes 14/03/2017 Join the learning analytics party!4
  5. 5. > >Slide Problems: Retention, attainment, differentials HESA non-continuation rates 2016-17 “headline increase from 6% to 6.2%” Director of Fair Access Les Ebdon “particularly concerned that the non-continuation rates for young people from the most disadvantaged backgrounds have risen faster than for other groups”, and expects the next round of access agreements to particularly focus on the issue of retention. (WonkHE) 14/03/2017 Join the learning analytics party!5
  6. 6. > >Slide Evidence >Columbus State University College (USA) retention rose by 4.2% (5.7% for low-income students) >Open University (UK) pilots have seen a 2.1% boost in retention >University of New England (Australia) saw drop-out rates fall from 18% to 12% 14/03/2017 Join the learning analytics party!6
  7. 7. > >Slide Business case outlines >Typical university 20,000 students, 6% first year non-completion improves to 4% >Annual benefit in reducing lost fees £7.2M-£10.8M >(Annual LA cost < £0.1M) >High retention university, 20,000 students 2% first year non-completion improves to 1.5% >Annual benefit £1.8M-£2.7M 14/03/2017 Join the learning analytics party! £7
  8. 8. > >Slide Evidence for LA in access agreements https://analytics.jiscinvolve.org/wp/2017/01/10/whats-the-evidence-for-learning-analytics/ 14/03/2017 Join the learning analytics party!8
  9. 9. > >Slide Jisc – Developing the UK’s national learning analytics service RobWyn Jones, Senior data and analytics integrator, Jisc 14/03/2017 Join the learning analytics party!
  10. 10. > >Slide Learning analytics – three strands 14/03/2017 Join the learning analytics party! Learning analytics service Toolkit Community Jisc learning analytics 10
  11. 11. > >Slide LA community >Blog (40+ blog posts) >http://analytics.jiscinvolve.org ~ 40 blog posts >Mailing: 500+ members (190+ organisations) >analytics@jiscmail.ac.uk >9th network meeting ~600+ participants 14/03/2017 Join the learning analytics party!11
  12. 12. > >Slide Legal and ethical > Code of Practice jisc.ac.uk/guides/code-of-practice-for- learning-analytics > Literature Review http://repository.jisc.ac.uk/5661/1/Learning_ Analytics_A-_Literature_Review.pdf > Template Learning Analytics Policy https://analytics.jiscinvolve.org/wp/2016/11/ 29/developing-an-institutional-learning- analytics-policy > Guidance on consent for learning analytics https://analytics.jiscinvolve.org/wp/2017/02/1 6/consent-for-learning-analytics-some- practical-guidance-for-institutions 14/03/2017 Join the learning analytics party!12
  13. 13. > >Slide Learning analytics – accessibility and analytics labs >Blog Post: accessibility and considerations for learning analytics https://analytics.jiscinvolve.org/wp/2016/12/14/accessibility- considerations-for-learning-analytics >Invitation to join Jisc/ HESA analytics labs: April – July 17 - - FOC Agile delivery, BITableau + knowledge transfer) http://bit.ly/jisc_bi_team_application 14/03/2017 Join the learning analytics party!13
  14. 14. > >Slide UK learning analytics service Jisc learning analytics open architecture: core 14/03/2017 Join the learning analytics party!14
  15. 15. > >Slide Our confirmed partners… >Look out for further announcements soon…. >Dynamic purchasing agreement to make it easier for institutions… 14/03/2017 Join the learning analytics party!15
  16. 16. > >Slide LA product/ service roadmap 14/03/2017 Join the learning analytics party!16
  17. 17. > >Slide Now and for the future – Jisc UK learning analytics 2017-2019 RobWyn Jones, Senior data and analytics integrator, Jisc 14/03/2017 Join the learning analytics party!
  18. 18. > >Slide Products and tools (as at March 2017) > Learning records warehouse (LRW) – active + APIs > Jisc Data Explorer – basic visualisations > Student Unified Data Definition – version 1.2.7, upcoming 1.3.0 and examples major SRS and automated validation > VLE – xAPI recipe and plugins for Blackboard and Moodle > Attendance tracking – xAPI recipe (2 pilots) > Study Goal – version 1.0 on iOS and Android pilots - (3) > Tribal Student Insights and LAP (14) > Open Learning Analytics Processor (4) > Student Success Planner – SSP (2) 14/03/2017 Join the learning analytics party!18
  19. 19. > >Slide Current implementation approach 14/03/2017 Join the learning analytics party! Analyse and pilot Choose full product Historic data Analyse results Live data Deploy dashboards/ other tools SuppliersInstitution team End users Model build Deploy Study Goal Deploy DataX Analyse and pilot 19
  20. 20. > >Slide Study Goal (formely ‘Student App’) >First version includes: >Overall engagement >Comparisons >Self declared data >Consent management Bespoke development by Therapy Box 14/03/2017 Join the learning analytics party!20
  21. 21. > >Slide Jisc - Data Explorer >Basic dashboard/ vis tool >Enables initial data exploration and assist institutions to chose suitable commercial solutions and set a basic expectation >Being used by several pilot institutions >Demo uses dummy data from University of Jisc 14/03/2017 Join the learning analytics party!21
  22. 22. > >Slide Join us – getting started Learning analytics – onboarding process https://analytics.jiscinvolve.org/wp/on-boarding >Stage 1: Orientation >Stage 2: Discovery >Stage 3: Culture and organisation setup >Stage 4: Data integration (crucial too, and can take time!) >Stage 5: Implementation planning 14/03/2017 Join the learning analytics party!22
  23. 23. > >Slide Learning analytics, and the unfolding education landscape Dr. Phil Richards,Chief innovation officer, Jisc 14/03/2017 Join the learning analytics party!
  24. 24. > >Slide HESA data futures/ HEDIIP alignment for UDD jisc.ac.uk/rd/projects/information-hub-prototype 14/03/2017 Join the learning analytics party!24
  25. 25. > >Slide HEFCE learning gain call – May 2015 >Standardised tests >Grades >Self-reporting surveys >Mixed methods >Other qualitative methods 14/03/2017 Join the learning analytics party!25
  26. 26. > >Slide Teaching excellence framework and quality assessment 14/03/2017 Join the learning analytics party!26
  27. 27. > >Slide LA warehouse: our DNA bank for higher e-learning? 14/03/2017 Join the learning analytics party! Reference data » Demographics » Entry qualifications » Learning and employment – Longitudinal Educational Outcomes (LEO) data Outcomes » Deep understanding of e-learning » Metricsforengagement, learning gain » Personalised next generation e-learning and learner pathway guidance Analytics number crunching UK learning data warehouse 27
  28. 28. > >Slide Blended curriculum design 14/03/2017 Join the learning analytics party!28
  29. 29. > >Slide AI and the analytics (r)evolution… 14/03/2017 Join the learning analytics party!29
  30. 30. > >Slide jisc.ac.uk Except where otherwise noted, this work is licensed under CC-BY-NC-ND > > Contact details Join the learning analytics journey 14/03/2017 Join the learning analytics party!Slide Dr. Phil Richards Chief innovation officer, Jisc Phil.Richards@jisc.ac.uk RobWyn Jones Senior data and analytics integrator (Learning analytics) Rob.Jones@jisc.ac.uk 30
  31. 31. > >Slide Exploring learning analytics Paul Bailey, Senior co-design manager 14/03/2017 Join the learning analytics party!
  32. 32. > >Slide Find out more at Digifest >Day 1:Tues >16:15Attendance monitoring (demo) >Day 2:Weds >9:15 Debate: Human vs machine interventions >10:15 Business intelligence in HE (demo) >11:15 Learning design and leaner analytics (Patrick Lynch) >13:30 Study Goal and Data Explorer (demo) >14:45 Learning analytics for FE Colleges 14/03/2017 Exploring learning analytics32
  33. 33. > >Slide Learning analytics explained 14/03/2017 Exploring learning analytics33
  34. 34. > >Slide Join us – getting started Learning analytics – onboarding process https://analytics.jiscinvolve.org/wp/on-boarding >Stage 1: Orientation >Stage 2: Discovery >Stage 3: Culture and organisation setup >Stage 4: Data integration (crucial too, and can take time!) >Stage 5: Implementation planning 14/03/2017 Exploring learning analytics34
  35. 35. > >Slide Learning analytics online modules The following videos are extracts from some learning analytics online modules available soon >Module 1 - Introduction to learning analytics >Module 2 - Student and staff perceptions >Module 3 - Institutional readiness >Module 4 -The Jisc architecture 14/03/2017 Exploring learning analytics35
  36. 36. > >Slide Vision and goals for data analytics >Video Clip: A shared vision for learning analytics (00:16 - 01:25) >Discussion:What are your short-term (6-12 month) goals for learning analytics at your institution, and how are they aligned with your institutional goals? 14/03/2017 Exploring learning analytics Lindsay Pineda, Unicon 36
  37. 37. > >Slide The need for governance >Governance structures – The role of governance in learning analytics (1:11 - 4:03) >Discussion:Where do you believe the governance structures for learning analytics should fit into the rest of the institution? 14/03/2017 Exploring learning analytics Patrick Lynch, University of Hull 37
  38. 38. > >Slide A code of practice >Legal and ethical issues - The need for a code of ethics (00:00 - 01:51) >Discussion:What are some of the other ethical issues that arise in storing and combining learning data as we do in learning analytics? How can institutions ensure that they handle student data in a responsible manner? 14/03/2017 Exploring learning analytics Martin Hall 38
  39. 39. > >Slide Data literacy >Digital literacy - Data literacy - towards a data-informed culture (02:25 - 03:51) >Discussion: How can technical staff and educators work together to ensure that learning analytics systems are optimised - both technically and pedagogically? 14/03/2017 Exploring learning analytics Martin Hall 39
  40. 40. > >Slide jisc.ac.uk Except where otherwise noted, this work is licensed under CC-BY-NC-ND > > Contact details Learning analytics 14/03/2017 Exploring learning analyticsSlide Paul Bailey Senior co-design manager Paul.bailey@jisc.ac.uk 40

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