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.

1. The challenge of the intelligent library
James Clay, Senior Co-Design Manager, Jisc

2. The intelligent library
What is the
intelligent library?
28/06/2018

3. Intelligent Campus
Using data to make smarter use of your university or college estate

4. The intelligent campus
What is the
Intelligent Campus?
28/06/2018

6. 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.

8. W I D E

9. Intelligent
Campus
Project

10. The intelligent campus
What is the project?
28/06/2018

11. 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

12. The intelligent campus
What are we doing?
28/06/2018

13. 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

14. 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

15. The intelligent campus
Why does this matter?
28/06/2018

16. 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

17. 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

18. 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

19. 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

20. The intelligent campus
How will we do it?
28/06/2018

21. 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

22. 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

23. The intelligent campus
What does it look like?
28/06/2018

24. The intelligent campus
28/06/2018 Title of presentation (Insert > Header & Footer > Slide > Footer > Apply to all) 24

25. The intelligent campus
Ideas

26. The intelligent campus
The
intelligent
estate

27. The intelligent campus
Enhanced
student
experience

28. The intelligent campus
Intelligent
learning
spaces

29. The intelligent campus
Intelligent
workspace

30. The intelligent campus
Smart
experiments

31. The intelligent campus
Smart city

33. The intelligent campus
Intelligent
library

34. The intelligent library
What is the
intelligent library?
28/06/2018

35. The intelligent library
Use Cases

36. 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

37. 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

38. 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?

39. 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?

40. 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?

41. 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?

42. 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?

43. 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…

45. The intelligent library
Why?

47. The intelligent campus
Issues
28/06/2018

48. The intelligent campus
Ethics
28/06/2018

49. The intelligent campus
28/06/2018

50. The intelligent campus
Consent
28/06/2018

51. The intelligent campus
GDPR
28/06/2018

52. The intelligent campus
Technical
28/06/2018

53. The intelligent campus
Validity
28/06/2018

54. The intelligent campus
Do we want to?

56. The intelligent campus
Should we?

58. The intelligent campus
28/06/2018 Title of presentation (Insert > Header & Footer > Slide > Footer > Apply to all) 58

59. The intelligent campus
Get involved
28/06/2018

60. 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

61. 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

62. The intelligent campus
Any questions?
28/06/2018