Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Jisc learning analytics update-feb 2016

163 views

Published on

Update on Jisc learning analytics network meeting 22 Feb at the University of Exeter

Published in: Data & Analytics
  • Be the first to comment

  • Be the first to like this

Jisc learning analytics update-feb 2016

  1. 1. University of Exeter, 22 February 2017 9th UK Learning Analytics Network Meeting
  2. 2. Programme Jisc Learning Analytics 2017 10:15 – 10:25 Arrangements for the day & welcome to the University of Exeter 10:25 – 11:25 Learning analytics at Exeter, Professor Wendy Robinson, Academic Dean for Students 11:25 – 11:40 Tea/Coffee break 11:40 – 12:30 Update on Jisc’s learning analytics programme 12:30 – 13:30 Lunch 13:30 – 14:15 Measuring Learning Gain: Big Data, Learning Analytics, Tests and Surveys Dr Camille B. Kandiko Howson, Senior Lecturer in Higher Education & Academic Head of Student Engagement, King’s College London 14:15 – 15:00 Learning analytics and learning gain: the experience at Oxford Brookes Dr Ian Scott, Assoc Dean Student Experience 15:00 – 15:15 Tea/Coffee break 15:15 – 15:55 Blackboard research into learning analytics John Whitmer, Director of Analytics, Blackboard 15:55 – 16:00 Farewell
  3. 3. Paul Bailey, Senior Codesign Manager, Research and Development Jisc learning analytics service http://www.slideshare.net/paul.bailey/
  4. 4. Effective Learning Analytics Challenge Jisc Learning Analytics 2017 Rationale »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 experience Timescale »2015-16—test and develop the tools and metrics »2016-17—transition to service »Sep 2017—launch, measure impact: retention and achievement
  5. 5. Jisc’s Learning Analytics Project Three core strands: Learning Analytics Service Toolkit Community Jisc Learning Analytics Jisc Learning Analytics 2017
  6. 6. Community: Project Blog, mailing list and network events Blog: http://analytics.jiscinvolve.org ~ 40 blog posts Mailing: analytics@jiscmail.ac.uk – 500+ members (190+ organisations) 9th Network Meeting ~600+ participants Jisc Learning Analytics 2017
  7. 7. Code of Practice Jisc Learning Analytics 2017  Code of Practice http://www.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/2017/02/16/consent-for- learning-analytics-some-practical-guidance-for- institutions/
  8. 8. Accessibility and Learning Analytics Blog Post Accessibility considerations for learning analytics https://analytics.jiscinvolve.org/wp/2016/12/14/accessibility-considerations-for-learning- analytics/ Webinar: Data and disadvantaged students - using learning analytics for inclusion Monday 27 February 2017, 12:00-13:00 Register: https://www.jisc.ac.uk/events/ Jisc Learning Analytics 2017
  9. 9. Analytics Labs Invitation to join April – July analytics lab teams http://bit.ly/jisc_bi_team_application Jisc Learning Analytics 2017
  10. 10. Learning Analytics Service Architecture Jisc Learning Analytics 2017
  11. 11. Descriptive Analytics Predictive Analytics Prescriptive Analytics AutomatedDiagnostic Analytics Standardised Data Learning Records Warehouse xAPI Plugins Data transformation tools Data and API Standards Jisc Services Other Provider Services Basic dashboards Student App Analytics Labs Benchmarking services College Analytics Basic predictive modelling and intervention management Procurement frameworks Integration tools Services for researchers Pilot projects Services for researchers Pilot projects Institutional Dashboards Data visualisation tools Data exploration tools Advanced predictive modelling Integrated intervention management ??? ???
  12. 12. working with… Jisc Learning Analytics 2017 Look out for further announcements soon…. Dynamic purchasing agreement to make it easier for institutions…
  13. 13. Where are we now…
  14. 14. Learning analytics products and tools Learning records warehouse – active Data Explorer – basic visualisations Student Unified Data Definition – version 1.3.0 and examples major SRS and validation too VLE – xAPI recipe and plugins for Blackboard and Moodle Attendance tracking – xAPI recipe (being piloted) Study Goal – version 1.0 on IoS and Android pilots - (3) Jisc Learning Analytics 2017 Tribal Student Insights (14) Open Learning Analytics Processor (4) Further learning analytics product pilots (tbc)
  15. 15. UDDValidatorTool • UDD data preparation tool for institutions • Will prepare all institutions for UDD historical/ live data loads into LA LRW • Links directly to UDDGitHub site (dynamic updates) • Covers current & future UDD - 1.2.7, 1.2.x, 1.3.0 etc • Basic validation (UDD structure, optional/ mandatory fields, field contents) • Relational entities – integrity checks between entities/ joins • Data quality and concentration/ coverage checks (working withTribal/ Unicon Marist) • Full Excel-based report pack provided to institutions, with backing audit/ tracking data for errors/ warnings • Built-in field-level (AES) encryption, with output to JSON files (LRW load ready) • Agile approach to software functionality/ release • Internal version allows rapid validation for institutions – taking in JSON, XML &TSV formats • Customer-side UDD validation (web-based, secure access) – due Q1/2 2017 • Gives control & flexibility to our members – rapidly quick data validation (Azure Cloud) Jisc Learning Analytics 2017
  16. 16. Learning from experience…
  17. 17. Jisc Learning Analytics 2017 Initial Implementation Approach Historic Data Model Live Data Analyse Results Analysis and Pilot Choose full product Suppliers Institution Team End Users Deploy Study Goal
  18. 18. Jisc Learning Analytics 2017 Current Implementation Approach Analyse and Pilot Choose full Product Historic Data Analyse Results Live Data Deploy dashboards/other tools Suppliers Institution Team End Users Model Build Deploy Study Goal Deploy DataX Analyse and Pilot
  19. 19. Data Explorer  Basic visualisation tool  Purpose: to enable 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 Jisc Learning Analytics 2017
  20. 20. Jisc Learning Analytics 2017
  21. 21. Jisc Learning Analytics 2017
  22. 22. Jisc Learning Analytics 2017
  23. 23. Jisc Learning Analytics 2017
  24. 24. Getting on-board… https://analytics.jiscinvolve.org/wp/on-boarding/
  25. 25. On-boarding Process Stage 1: Orientation Stage 2: Discovery Stage 3: Culture and Organisation Setup Stage 4: Data Integration Stage 5: Implementation Planning Jisc Learning Analytics 2017 https://analytics.jiscinvolve.org/wp/on-boarding/
  26. 26. Contacts Paul Bailey paul.bailey@jisc.ac.uk Further Information: http://www.analytics.jiscinvolve.org Join: analytics@jiscmail.ac.uk Jisc Learning Analytics 2017

×