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Intelligent Campus
Using data to make smarter use of your university or college estate
The intelligent campus
What is the
Intelligent Campus?
The intelligent campus
Where did it come from?
The intelligent campus
»The intelligent campus project was one of five new ideas
to emerge from our co-design consultations with
members and other stakeholders.
It came from you
5
The intelligent campus
The intelligent campus
project
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.
»This research is developing alongside our effective
learning analytics service.
Using data to make smarter use of your estate
7
What are we doing?
»At the core of the learning analytics service is the
Learning Data Hub where academic and engagement
data is collected, stored and processed.
»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.
8
What are we doing?
»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.
»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.
9
The intelligent campus
What does it look like?
The intelligent campus
The intelligent campus
Presentation and action
The intelligent campus
The
intelligent
estate
The intelligent campus
Enhanced
student
experience
The intelligent campus
Intelligent
learning
spaces
The intelligent campus
Smart city
The intelligent campus
Intelligent
library
The intelligent campus
Ethics
The intelligent campus
GDPR
The intelligent campus
Technical
The intelligent campus
Validity
The intelligent campus
Project phases
Phase 1 – July 2018-December 2018
»Success criteria
› We can extract the data from at least two institutional systems
into a standardised data hub
› We produce at least one useful analysis of that dataset
› We generate at least one novel insight that institutional managers
can act on
› The pilot institution is willing to continue working with us on
developing the service
25
Phase 2 – January 2019 - July 2019
»Success criteria
› We are able to replicate the generation of the insights from
release 1 in at least 2 other institutions
› Our mailing list and events attract people from at least 100
different institutions and we are able to evidence demand for the
service from a significant portion of them
› At least two more vendors can be signed up to use the data hub to
deliver services to institutions
› We are able to generate at least one more novel insight that
institutional managers can act on to address one of the intelligent
campus use cases
26
Phase 3 – August 2019 - July 2020
»Success criteria
› Existing institutions we are working with are willing to continue to
work with us
› The project moves to a service
› That we have a realistic pipeline of members wanting to sign up to
the service
› We have identified an achievable product roadmap that enables
us to continue to produce tools or visualisations that generate
novel insights that can help with the use cases we have identified
27
The intelligent campus
Pilots
Pilot institutions
»Phase 1
› City University London
»Phase 2
› University of Birmingham
› Ulster University
»We are also piloting intelligent campus technologies in
the Jisc offices in Bristol and London
29
The intelligent campus
Intelligent campus
hackathon
The intelligent campus
Co-design Labs
The intelligent campus
»The project has been influential with informing the new
model of co-design because of the way it was working
closely with members in a responsive way and therefore it
led to the development of co-design labs.
Co-design
33
The intelligent campus
34
The intelligent campus
Get involved
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 list
› https://www.jiscmail.ac.uk/cgi-
bin/webadmin?SUBED1=INTELLIGENTCAMPUS&A=1
»Join theTwitter conversation: #intelligentcampus
36
The intelligent campus
Any questions?
Jisc Digital Futures Learning Call Intelligent Campus

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Jisc Digital Futures Learning Call Intelligent Campus

  • 1. Intelligent Campus Using data to make smarter use of your university or college estate
  • 2. The intelligent campus What is the Intelligent Campus?
  • 3.
  • 4. The intelligent campus Where did it come from?
  • 5. The intelligent campus »The intelligent campus project was one of five new ideas to emerge from our co-design consultations with members and other stakeholders. It came from you 5
  • 6. The intelligent campus The intelligent campus project
  • 7. 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. »This research is developing alongside our effective learning analytics service. Using data to make smarter use of your estate 7
  • 8. What are we doing? »At the core of the learning analytics service is the Learning Data Hub where academic and engagement data is collected, stored and processed. »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. 8
  • 9. What are we doing? »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. »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. 9
  • 10. The intelligent campus What does it look like?
  • 18.
  • 23.
  • 25. Phase 1 – July 2018-December 2018 »Success criteria › We can extract the data from at least two institutional systems into a standardised data hub › We produce at least one useful analysis of that dataset › We generate at least one novel insight that institutional managers can act on › The pilot institution is willing to continue working with us on developing the service 25
  • 26. Phase 2 – January 2019 - July 2019 »Success criteria › We are able to replicate the generation of the insights from release 1 in at least 2 other institutions › Our mailing list and events attract people from at least 100 different institutions and we are able to evidence demand for the service from a significant portion of them › At least two more vendors can be signed up to use the data hub to deliver services to institutions › We are able to generate at least one more novel insight that institutional managers can act on to address one of the intelligent campus use cases 26
  • 27. Phase 3 – August 2019 - July 2020 »Success criteria › Existing institutions we are working with are willing to continue to work with us › The project moves to a service › That we have a realistic pipeline of members wanting to sign up to the service › We have identified an achievable product roadmap that enables us to continue to produce tools or visualisations that generate novel insights that can help with the use cases we have identified 27
  • 29. Pilot institutions »Phase 1 › City University London »Phase 2 › University of Birmingham › Ulster University »We are also piloting intelligent campus technologies in the Jisc offices in Bristol and London 29
  • 31.
  • 33. The intelligent campus »The project has been influential with informing the new model of co-design because of the way it was working closely with members in a responsive way and therefore it led to the development of co-design labs. Co-design 33
  • 36. 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 list › https://www.jiscmail.ac.uk/cgi- bin/webadmin?SUBED1=INTELLIGENTCAMPUS&A=1 »Join theTwitter conversation: #intelligentcampus 36

Editor's Notes

  1. Can we create an intelligent estate that increases space utilisation, increased room efficiency, allows for intelligent timetabling, reduces energy costs. Universities and colleges have large numbers of buildings of varying ages and conditions, spread over a wide geographic area, sometimes multiple campuses. Managing energy, waste and resources efficiently is important for a number of reasons, including financial pressures, environmental principles and regulations, and improved working conditions for campus users.
  2. Most universities and colleges provide good quality traditional campus maps on paper and electronically, however, these could be hugely enhanced using the technology and data that is increasingly available. Combining this data with smartphone apps and electronic signage will improve the experience of campus users. Could we make the campus easier and smarter for students?
  3. If the spaces we use for teaching and learning could speak to us, what would they say? The spaces across colleges and universities are core to teaching and learning. Are we using them effectively to enhance and enrich the learning journey? 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.
  4. »Can we take the physical campus and make it porous and extend it into the wider city. Connect with city wide services such as transportation, health, wellbeing. Universities and colleges will increasingly offer tailored, and personalised, student apps for smartphones that are informed by the intelligent campus. These could communicate with the smart city and the data it provides.
  5. 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? 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.  Having a deeper understanding of the utilisation of the library, will allow for more effective and efficient use of space.
  6. We will be extending the existing code of practice and ensure that universities and colleges are aware of the ethical issues when using intelligent campus sensors and technologies.
  7. We will also provide advice on the GDPR implications of using intelligent campus sensors and technologies.
  8. We recognize there are many issues about the technical aspects of the project.
  9. Likewise on the validity of the analysis of data.
  10. The five-day challenge at Conference Aston brought together 12 teams to explore digital solutions to problems on campus. The team behind the winning hackathon pitch, Seat Seeker, started without an idea and used the programmable computer Raspberry Pi to create an app to help students find free seats in the library.
  11. Image Source: https://flic.kr/p/6KDtm Marcello Maria Perongini .: Any question??? :. CC BY-NC-ND 2.0