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The Challenge of the Intelligent Library - UKeiG Presentation

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There has been plenty of hype over artificial intelligence and the internet of things. Is it time to put aside the cynicism that this kind of hype generates and look seriously at how we can take advantage of these emerging technologies to improve the student experience and build an intelligent library?

The internet of things makes it possible for us to gather real-time data about the environment and usage of our library spaces. It is easy to imagine using this data to ensure the library is managed effectively, but could we go further and monitor environmental conditions in the library, or even, using facial recognition software, student reactions as they use the library so that we can continually refine the learning experience?

Most smartphones now make use of artificial intelligence to make contextual recommendations based on an individual’s location and interests. Could libraries take advantage of this technology to push information and learning resources to students? If we could, it offers some interesting possibilities. On-campus notifications could nudge students to make best use of the available services such as the library. Off-campus notifications could encourage them to take advantage of the learning opportunities all around them. Could we use approaches like this to turn student’s smartphones into educational coaches, nudging students towards the choices that lead to higher grades and prompting them to expand their learning horizons.

As we start to use a range of tracking technologies, smart cards, beacons, sensors we are facing a deluge of data in the use of buildings, spaces and equipment across a college or university campus. We are faced with a breadth and depth of data which can be challenging to use effectively and have greatest impact. These tracking technologies are already widespread in environments such as airports and retail. Often using wifi tracking to track users via their wifi enabled devices and smartphones. In addition sensors are used to track space utilisation and occupancy. Interpreting the data is fraught with challenges and difficulties, as well as potential ethical and legal issues. However this wealth of data does offer the potential to deliver more satisfying experiences for students and staff as well as ensuring the library is used as effectively as possible.

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The Challenge of the Intelligent Library - UKeiG Presentation

  1. 1. The challenge of the intelligent library James Clay, Senior Co-Design Manager, Jisc
  2. 2. The intelligent library What is the intelligent library? 28/06/2018
  3. 3. Intelligent Campus Using data to make smarter use of your university or college estate
  4. 4. The intelligent campus What is the Intelligent Campus? 28/06/2018
  5. 5. What is the intelligent campus? »There has been plenty of hype over artificial intelligence and the internet of things. »We believe it may be time to put aside the cynicism that this kind of hype generates and look seriously at how we can take advantage of these emerging technologies to improve the student experience, research and the management of our campuses.
  6. 6. W I D E
  7. 7. Intelligent Campus Project
  8. 8. The intelligent campus What is the project? 28/06/2018
  9. 9. The intelligent campus »We’re working on ways to improve the student experience by capturing and analysing the many kinds of data that can be collected across university and college campuses. »The intelligent campus project is one of five new ideas to emerge from our co-design consultations with members and other stakeholders, who have asked us to kick off research into using data to inform future campus developments. Using data to make smarter use of your estate 28/06/2018 Intelligent Campus 11
  10. 10. The intelligent campus What are we doing? 28/06/2018
  11. 11. What are we doing? »This research is developing alongside our effective learning analytics project and our work to build a learning analytics service. »At the core of the learning analytics service is the Learning Data Hub (formerly called the Learning Records Warehouse) where academic and engagement data is collected, stored and processed. 13
  12. 12. What are we doing? »We’ll extend the Learning Data Hub to enable data to be gathered in from physical places (movement trackers, heat and CO2 sensors, for example) and from systems that record and monitor space and equipment usage, timetabling and other activities. »By analysing when and how rooms are used organisations will be able to make smarter, more effective use of learning spaces and other facilities across campus and to improve curriculum design and delivery. 14
  13. 13. The intelligent campus Why does this matter? 28/06/2018
  14. 14. Why does this matter? »Making timely interventions to ensure that the best available spaces are being used for each session will enable students to learn more effectively and ensure that the organisation is running efficiently – but this is only the start. »Longer term the possibilities for the intelligent campus project are practically limitless. 16
  15. 15. Why does this matter? »Our project aims to find effective ways to use data gathered from the physical estate and combine it with learning and student data from library systems, the virtual learning environment (VLE) and even on-site cafes and bars to: › Give students a richer experience of learning and teaching so they can achieve higher grades › Enable students to optimise the comfort and convenience of their physical environment 17
  16. 16. Why does this matter? »Further down the line data from an intelligent campus could help students to: › Navigate their way around the site › Find appropriate pastoral or other support › Share information about events › Meet up to socialise or work collaboratively »Supporting students in these practical ways will help them settle in more quickly and learn better. 18
  17. 17. Why does this matter? »An intelligent campus could also enable organisations to reduce their environmental impact by monitoring and managing energy use in real time, to streamline waste management, to move supplies around site more efficiently… »…the list of potential benefits goes on. 19
  18. 18. The intelligent campus How will we do it? 28/06/2018
  19. 19. How will we do it? »It’s a long-term project, not least because the necessary tools and infrastructure are often not in place within colleges and universities. Smart buildings are expensive and it takes time to build (or retrofit) them. »First, we need to agree with members on the priority areas that they want us to focus on, so we’re developing use cases. 21
  20. 20. How will we do it? »We are working on a toolkit to explain how and when members might implement the technologies and suggest how to procure the necessary equipment. »We’ll provide advice and guidance on implementing intelligent campuses and on how to structure data for the Learning Data Hub. »We will develop information on the ethical issues surrounding gathering, storing and using personal data, including our code of practice for learning analytics. »We’ll create analytics algorithms so the tools are available when members are ready to use them. 22
  21. 21. The intelligent campus What does it look like? 28/06/2018
  22. 22. The intelligent campus 28/06/2018 Title of presentation (Insert > Header & Footer > Slide > Footer > Apply to all) 24
  23. 23. The intelligent campus Ideas
  24. 24. The intelligent campus The intelligent estate
  25. 25. The intelligent campus Enhanced student experience
  26. 26. The intelligent campus Intelligent learning spaces
  27. 27. The intelligent campus Intelligent workspace
  28. 28. The intelligent campus Smart experiments
  29. 29. The intelligent campus Smart city
  30. 30. The intelligent campus Intelligent library
  31. 31. The intelligent library What is the intelligent library? 28/06/2018
  32. 32. The intelligent library Use Cases
  33. 33. Use cases »Annually the HE sector spends £3.04bn on maintaining their campuses, efficiency savings of just 0.1% would save the sector £3m. For example, there are 1440 minutes in a day. Reduce unnecessary lighting and heating by 15 minutes a day, the potential 0.1% saving on heating, lighting and associated costs. »For an average university this could be £19,000 per year. »Similar savings could be made in the FE Sector. Saving money
  34. 34. Use cases »Staffing efficiency:The number of Academic staff employed at UK universities is 201,380.The number of Non-academic staff employed at UK universities is 208,750. »UsingWayfinding to improve campus and city navigation saving on average one minute per week for each members of staff results in 31 years of time per year for the sector. Saving time through wayfinding
  35. 35. Use cases »Could we track our students as they move around the campus and the city? »Could we discover where they are studying and learning? »Could we then enhance those spaces to improve learning through the addition ofWiFi and access to resources? »Could we make appropriate interventions as students pass relevant services and retailers? Where are our students?
  36. 36. Use cases »We can imagine an intelligent library which not only knows what seats and PCs are free, but can learn from history and predict when the library will be busy and when it will be emptier. »The library then provides this information to students via an app, pushing the library when there is more availability of places and computers. »When the library is busy, the intelligent library “nudges” students to go “elsewhere”, for example with coffee discount vouchers. Are there any places to study available?
  37. 37. Use cases »Having a deeper understanding of the utilisation of the library, will allow for more effective and efficient use of space. »Could this also mean we have a flexible library that expands and contracts as demand for space in the library changes over the day or over the year? »Imagine a library where dual use space allows it to expand capacity based on actual and predicted usage. We need more space?
  38. 38. Use cases »Could we use wireless technologies, such as RFID, not just for issue and return, but also track those resources as they are used within the library itself? »Could we also use the same technologies to track resources across campus to identify areas where they are being used or stored (or even lost)? »Could we then enhance those spaces to improve learning? Where are our books?
  39. 39. Use cases »Could we use facial recognition to monitor regular users of the library and provide insight and data into learning analytics? »Could we go one step further and use emotional recognition technology to discover when students are “troubled” or “in need of help” and then make appropriate interventions to support them in their studies? Do you need help?
  40. 40. Use cases »If the library is getting full, could we identify those students who have been in there a long time, and push a notification, incentivising them to take a break with a free coffee from the library coffee shop? »Could we go one step further, and promote wellbeing, by doing the same, but with a free coffee on the other side of campus, so they have to go outside and get some air and exercise? You could do with a coffee…
  41. 41. The intelligent library Why?
  42. 42. The intelligent campus Issues 28/06/2018
  43. 43. The intelligent campus Ethics 28/06/2018
  44. 44. The intelligent campus 28/06/2018
  45. 45. The intelligent campus Consent 28/06/2018
  46. 46. The intelligent campus GDPR 28/06/2018
  47. 47. The intelligent campus Technical 28/06/2018
  48. 48. The intelligent campus Validity 28/06/2018
  49. 49. The intelligent campus Do we want to?
  50. 50. The intelligent campus Should we?
  51. 51. The intelligent campus 28/06/2018 Title of presentation (Insert > Header & Footer > Slide > Footer > Apply to all) 58
  52. 52. The intelligent campus Get involved 28/06/2018
  53. 53. Join in the discussion »Go to the Intelligent Campus webpage › https://jisc.ac.uk/rd/projects/intelligent-campus »Follow the Intelligent Campus blog › https://intelligentcampus.jiscinvolve.org »Join the mailing lisy › https://www.jiscmail.ac.uk/cgi- bin/webadmin?SUBED1=INTELLIGENTCAMPUS&A=1 »Join theTwitter conversation: #intelligentcampus 60
  54. 54. Come to our community events »If you are working in the area of the Intelligent Campus and are interested in work being undertaken in this space by others, then we would like to invite you to attend our community events for HE and FE. › Intelligent Campus Community Event November 2018 – Birmingham › IntelligentCampus Community Event January 2019 – London 61
  55. 55. The intelligent campus Any questions? 28/06/2018