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BDC_CoP_271119 - Digital transformation university of edinburgh circulation


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The keynote presentation from the University of Edinburgh at the Jisc Building digital capability community of practice event, 27th November 2019.

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BDC_CoP_271119 - Digital transformation university of edinburgh circulation

  1. 1. Digital transformation: Becoming a digitally capable organisation Jisc Building Digital Capability Community of Practice 27 November 2019 Gavin McLachlan Vice Principal and Chief Information Officer, and Librarian to the University
  2. 2. What is digital transformation? “Digital transformation is the changes associated with the complete application of digital technology in all aspects of a modern university”
  3. 3. The three steps to digital maturity Maturity Digital Competence Digital Literacy Digital Transformation • We use some digital technology universally (e.g. email or office tools)Digital competence • We use digital to enhance and support our traditional methods of research and educationDigital literacy • We use digital to inherently enable new types of innovation and creativity Digital transformation
  4. 4. Key things you need to have • Digital culture and vision • Digital strategy and alignment to university strategy • Digital community of best practice and champions • Digital infrastructure • Digital transformation programme • Digital maturity model • Digital education ecosystem and digital pedagogy • Digital principles • Digital education programme Data Warehouse Enterprise Architecture and APIs
  5. 5. A DIGITAL CULTURE Every educatoris a digital educator Every student is a digital student Every university service is a digital service Every decision considers the available evidence Everyone plans and updates theirdigital skills We stop wondering about the future and start predicting and proactively acting Hyper connected digital economy and digital community
  6. 6. The University of Edinburgh digital education ecosystem – how it works The ecosystem is self supporting and mutually enhancing. 1. Surplus portions of the ecosystem, such as Masters, Exec Ed, Distance Learning at Scale, fund and support an increase in quality and activity in other areas such as blended learning and digital skills. 2. All areas of the ecosystem create and reuse digital education material and leverage central platforms, skills, capabilities, new pedagogy and evolving best practice. 3. Engagement with key market segments: employers, partners, alumni and new students is key. Digital Education Blended Learning Online Traditional Masters Distance Learning at Scale Ex Ed, CPD and short courses MOOCs Digital Skills Employers New Students Alumni Partners City Deal
  7. 7. Key Principals in the Digital Transformation of Core Services Digital principles “Digital is simply better” • We aim to create digital services so good that customers prefer to use them • We will use digital first and mobile first design • We will map out customer journeys as our first priority in collaboration with our partners • We will aim to optimise quality and efficiency with fast and simple processes • We will not be distracted by what came before • We will serve as a key underpinning enabler of all university programmes • We will enable evidence based, quantitative, quality decision making throughout the workforce • We will have a full 10 year plan
  8. 8. Digital Transformation: Digital Maturity Stephen Roy Digital Transformation Portfolio Manager
  9. 9. Conclusions and Recommendati ons • Language • Complexity • Commitment to conclusions • Co-design Conclusions and recommendations
  10. 10. Digital Transformation: Developing Your Data Skills Programme Jenni Houston Head of Digital Skills and Training, Information Services Group
  11. 11. Why? • Support and enable digital transformation • Reduce the skills gap in data skills for Professional Services staff • City Deal
  12. 12. Programme development • Tracy joined in February 2018 • Came via Equate Scotland • 10 years as a Marketing Research Programmer • Programme development • Design: February – August 2018 • Launch: September 2018 Tracy Steinberg Programme Manager
  13. 13.
  14. 14. Programme structure • Six-month blended programme • Online self-study • Workshops • Project • Three levels of difficulty (pathways) • Three topics • Introduction to data skills and programming • Statistics and data analysis • Presenting your data
  15. 15. Example topics: Beginner level Topic 1: Introduction to Data Skills and Programming Workshop (2h) Online learning (6h) 1. Introduction: Learning Data Science – Understanding the Basics (LinkedIn Learning) 2. Programming and Excel i. Learning Excel Desktop (LinkedIn Learning) ii. What’s an Algorithm? (YouTube) iii. Learning to Code Choose resources on R, SQL or Python (LinkedIn Learning, DataCamp, EdX) Topic 2: Statistics and Data Analysis Workshop (2h) Online learning (17h) 3. Introduction to Statistics (Udacity) 4. Data Analytics for Business Professionals (LinkedIn Learning) Topic 3: Presenting Your Data Workshop (2h) Online learning (17h) 5. Presentation Skills i. Picking the Right Chart for Your Data (LinkedIn Learning) ii. Charts (from Excel 2019 Essential Training) (LinkedIn Learning) iii. Learning Data Science: Tell Stories with Data (LinkedIn Learning) Data Project Workshop and presentations
  16. 16. Projects Can Data Help Us to Pick the Winner of the Grand National? Looks at the optimum age of the horse (based on past winners), the optimum weight to carry and how many previous races the horse has completed. - Librarian (Level 1) Exploring Strava Segments Compares bike practice timings in biking trails in Holyrood Park. - Student in Electronics (Level 1) Internet of Things Sensor Network Takes readings from a sensor placed outside the School of Biological Sciences from an SQL database and uses Python to graph the findings. - IT Services Manager (Level 2) Squirrelpox Outbreak Uses R to produce a beautiful Squirrel Pox Outbreak poster. - Student at The Royal Dick School of Veterinary Science (Level 3)
  17. 17. Programme stats: uptake and completions 98 270 42 0 50 100 150 200 250 300 2018-2019 2019-2020 Participants Completed
  18. 18. Programme stats: participant type 40 24 76 123 31 116 0 50 100 150 200 250 Professional Services Staff Academic Staff Student 2018-2019 participants 2019-2020 participants
  19. 19. Programme stats: participant gender Female Male Inside: 2018-2019 Outside: 2019-2020
  20. 20. Celebrating success
  21. 21. Feedback “There are many data courses out there. Having a course which is specifically designed and at the correct level was timesaving and encouraged me to finish. I loved doing the course and I'm keen to get started on the next level. I would not have been able to do this without the course format, nor the tutor with her helpful, caring approach. Many thanks for this innovation.”
  22. 22. Feedback “I like the concept – have a course with the teaching covered by a MOOC, but with a local tutor with a guidance plan and workshop to help keep on track.”
  23. 23. What next? • Programme continuously evolving and improving • Six cohorts starting Dec and Jan • First cohort finishes in March • Completion target: • Minimum 80 completions (30%) • Ideally 100 completions (37%) • Deeper evaluation of impact of programme • Offer the programme to another 15 cohorts next year
  24. 24. Thank you Gavin McLachlan - Vice Principal and Chief Information Officer, and Librarian to the University Stephen Roy - Digital Transformation Portfolio Manager Jenni Houston - Head of Digital Skills and Training