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Jisc learning analytics service sept2016

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Overview of Jisc learning analytics service

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Jisc learning analytics service sept2016

  1. 1. Paul Bailey, Senior Codesign Manager, Research and Development Jisc learning analytics service http://www.slideshare.net/paul.bailey/
  2. 2. Effective Learning Analytics Challenge 2Jisc learning analytics service 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 (freemium) »Sep 2017—launch, measure impact: retention and achievement
  3. 3. 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) 3Jisc learning analytics service
  4. 4. Jisc’s Learning Analytics Project 4 Three core strands: Learning Analytics Service Toolkit Community Jisc Learning Analytics Jisc learning analytics service
  5. 5. Community: Project Blog, mailing list and network events Blog: http://analytics.jiscinvolve.org Mailing: analytics@jiscmail.ac.uk 5Jisc learning analytics service
  6. 6. http://www.jisc.ac.uk/guides/code-of-practice-for-learning-analytics Toolkit: Code of Practice 6Jisc learning analytics service http://repository.jisc.ac.uk/5661/1/Learning_Analytics_A-_Literature_Review.pdf
  7. 7. Learning Analytics Service Architecture Jisc learning analytics service 7
  8. 8. Dashboards 8 Visual tools to allow lecturers, module leaders, senior staff and support staff to view: » Student engagement » Cohort comparisons » etc… Based on either commercial tools from Tribal (Student Insight) or open source tools from Unicon/Marist (OpenDashBoard) Jisc learning analytics service
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  12. 12. First version will include: » Overall engagement » Comparisons » Self declared data » Consent management Bespoke development by Therapy Box 12 Student App Jisc learning analytics service
  13. 13. Jisc learning analytics service 13 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
  14. 14. Alert and Intervention System Tools 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) 14Jisc learning analytics service
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  16. 16. 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 service 16 https://analytics.jiscinvolve.org/wp/on-boarding/
  17. 17. Jisc learning analytics service 17 Data collection About the student Activity data TinCan (xAPI)ETL
  18. 18. Jisc learning analytics service 18 On-boarding Process Data Visualisation Dashboards Ready to implement Ready to implement
  19. 19. Contacts Paul Bailey paul.bailey@jisc.ac.uk Further Information: http://www.analytics.jiscinvolve.org Join: analytics@jiscmail.ac.uk Jisc learning analytics service 19

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