Write a case study or two

working on a laptop

Case studies are a useful tool to describe how others across the sector are working on the concept of the intelligent campus. Though not always instantly transferable from one situation to another, they can be used to see what experiences, problems and issues others have faced and importantly how they overcame them.

We would like to invite you to write case studies, which may then be published here on the blog. In order to give you a starting point, we have created a template that asks a series of questions.

Overall the expected length of the case study would be 500-1500 words.

This template is designed to encourage you reflect on the projects or activities you have undertaken in the intelligent campus space and then to share the outcomes with other practitioners.

Case study title

Institution name

Background [Give brief details of institution, type of campus, buildings or learning spaces, in which the activity/ies or project took place]

Intended outcome(s) [Describe the objective(s) behind the the activity/ies or projec outlined here]

The challenge [Identify the issues that required attention or which prompted you to re-assess your previous experiences]

Established practice [Identify features of the experience previously in use – this may include any aspects which were subsequently amended]

The digital advantage [Describe the benefits of the the activity/ies or project, as experienced by the institution as a whole]

Key points for effective practice [Briefly identify the most important points in the case study for other organisations – these may include risks as well as benefits]

Conclusions and recommendations [A summary of how and why the the activity/ies or project outlined here has been effective]

Additional information [Use this optional section to add related materials or content e.g. a strategy, a plan or a set of data, or to supply your email address]

Please send completed case studies to james.clay@jisc.ac.uk

Get involved with our intelligent campus hackathon

under-2891888__340

As part of our edtech launchpad programme we are looking for student teams from universities and colleges across the UK to join us in building the campus of the future.

The aim of the hackathon is for student teams to design, develop and build “something” that would benefit students in the world that is the intelligent campus.  We are looking for some creative students to spend a week in August working to build and test tools that can enhance the student experience and make the campus more intelligent.

There’s up to £1,000 in prizes up for grabs, we’ll provide you with equipment and cover your accommodation and expenses.  .

Venue: Conference Aston, Birmingham

Timings: 12:00 Monday 6 August to 13:00 Friday 10 August

You’ll will need to bring laptops and the ideal team size is 2-4 people.

for more information contact paul.bailey@jisc.ac.uk

Entry form

Come along and join us – lets create something exciting.

Strategic approaches to the intelligent campus

Strategic approaches to learning analytics in UK higher educationThe opening paragraph in the Jisc publication Strategic approaches to learning analytics in UK higher education says:

Learning analytics cannot yet be considered a mature field in UK higher education. However, the use of data about learners and their learning to address areas such as attrition and curriculum enhancement is increasingly being investigated through projects at an institutional level. 

This will resonate with many individuals in UK higher education who are investigating the use of data in the intelligent campus space.

The document takes you through the many different approaches to learning analytics and this landscape is similar to the landscape of the intelligent campus.

There is no single driver behind the intelligent campus, for some it’s about improving and enhancing the student experiences, for others it’s about making effective use of the estate and learning spaces. There are demands for efficiencies in space utilisation, and reduction of costs of energy, water, maintenance and waste collection. There are a diverse range of reasons and strategies that results in interest in the intelligent campus space.

The document is an interesting read on the current learning analytics landscape and is a format we may look at late in the intelligent campus project.

Download the document from the Jisc repository.

Learning from intelligent tourism

Cinque Terre

In this news piece, Tourism pressures: Five places tackling too many visitors – BBC News,  there is an interested use of technology by empowering visitors with knowledge of how busy the paths in the cliffside towns of Cinque Terre.

Tourists cannot get enough of the five brightly painted cliffside towns in northern Italy known as Cinque Terre. The area, which has about 5,000 residents, became a national park in 1999 and now receives more than two million tourists per year. People come to hike the scenic paths that link the towns and the terrace vineyards. Over the years, the walkways have fallen into disrepair from erosion and overuse.

Faced with this problem, the park authorities came up with a technological solution for the tourists. 

Lately, park authorities have been trialling an app which tourists can download to see the number of people on the routes in real time. When a red warning sign shows, a path is overcrowded and visitors can then make up their minds if they want to join the throngs. In the future, they may trial virtual waiting lists.

One of the discussions that has come out of the recent Intelligent Campus community events has been about empowering students with knowledge through data, to enable them to make informed decisions that will enhance their experience.

It is easy to see how providing students with information on how busy parts of the campus is then they can (like the tourists) make up their minds if they want to join the throngs in the library, the catering facilities or the computer labs.

chat bot

You could do this three ways.

  • Use historical data to inform the students.
  • Use live data to inform the students.
  • Use predicted data, based on historical and live data to provide future information to students.

How you collect data is a different question, you could use software such as Lone Rooftop to measure occupancy using wifi and the devices learners are carrying. Some universities are using infra-red technology to measure occupancy (with less impact on gathering data about individual users).

Removing frustrations, making timely and appropriate interventions are just some of the ways you can enhance the student experience. Providing them with accurate insight into where they want to go and what is happening there goes some way to do this.

Intelligent Campus Data Requirements

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 project and our work to build a learning analytics service.

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.

Our vision for the intelligent campus is that we will work with existing services rather than compete against them. We will establish a standardised data hub for the intelligent campus. This data hub will make it easier for institutions to collect data from their various software and devices and will allow vendors to build tools that analyse data from a range of software and devices to deliver tools and insights to students, teachers and institutional managers.

This is the same model we have used for learning analytics and after some initial scepticism learning analytics vendors have embraced the concept as it reduces their cost of sale to institutions and allows them to access richer data more easily. Similarly institutions see the value in the learning data hub approach since it takes the pain away from extracting data from institutional systems and helps them avoid vendor lock in as standardising the data means it is easy to switch all their existing data to a new provider. The diagram below illustrates our proposed approach.

Intelligent Campus Data Requirements

The Jisc learning data hub sits in the middle layer of the diagram and works with existing and new vendor products in the top and bottom layers. The top layer relates to the use cases we have identified in earlier blog posts.

The other significant differentiator is the link to our learning analytics data. Most existing products focus purely on the smart campus idea of making the estate more efficient and responsive to user needs. By using this data alongside our learning analytics data, we can explore how the use of the campus relates to learning progress and outcomes and use these insights to make improvements.  

Smart Campus: a route using 4G and 5G to serve the Smart City

phone-1458565_1920

Jisc in partnership with GSA have published a new report by Esmat Mirzamany (Jisc) and Joe Barrett (GSA) on how universities and cities could work together to build a smart city taking advantage of the connectivity and computing capacity unleashed by the next generation (5G) mobile networks.

“Smart City” has become a hot topic in recent years. While still in its infancy, the new and extreme broadband connectivity and computing capacity unleashed by the next generation (5G) mobile networks, is bringing the power of Smart City solutions to our cities. The success is driven by the fact that Smart City and its services have the power to support necessary utility functions in today’s cities, and also creating completely new business models and value propositions while enhancing safety and comfort of its users; both citizens and visitors. Based on Deloitte1, a city is smart when investments in (i) human and social capital, (ii) traditional infrastructure and (iii) disruptive technologies fuel sustainable economic growth and a high quality of life, through sustainable management of natural resources, as well as through participatory governance. They are other definitions for Smart City, however; one can say a smart city is a city with more contented and involved citizens, thanks to the digitalisation of different aspects of their life. During recent years there have been several smart city projects, with different business models and planning. Nevertheless, apart from a high cost of running such projects, one thing common to all of these activities is a “use-case driven” nature of such activities. That means use cases chosen for the smart city project make the foundation of its success and are the essence of a viable business model. So, the ability to choose the best use cases with the best technology solutions- given the circumstances- is the key to the success.

You can access the report from the Jisc repository.

Also related to 5G is a recent news article on the Jisc website, exploring the view of  Andy Sutton, visiting professor in the School of Computing, Science and Engineering at the University of Salford – who spoke at the “mobility” session at Networkshop46.

Reflections on the Intelligent Campus Community Event in Sheffield

Jisc Intelligent Campus Community Event

Sheffield was the setting for our first Intelligent Campus Community Event for our new community of practice. The community of practice gives people an opportunity to network, share practice, hear what various institutions are doing and what Jisc is doing in this space. The event proved popular with Jisc members and over 70 people had booked onto the event.

After providing an initial introduction on the Intelligent Campus realm, we moved onto a range of presentations from Sheffield Hallam University (SHU). Ian Glover gave an insightful introduction to Bluetooth Beacons and how SHU have been using them across learning spaces.

Jisc Intelligent Campus Community Event

You can find out more about this project on the project blog.

We had a presentation about how SHU were using Lone Rooftop to look at space utilisation using wireless technologies. Manual usage counts was expensive and didn’t provide a realistic picture, whereas a technological solution was more accurate and cost effective.

We also had a presentation about the use of information kiosks.

Finally a presentations about the use of beacons to support induction and a self guided library tour of the library.

I then provided a presentation about the Jisc project in the Intelligent Campus space.

As well as covering some of the background to the Intelligent Campus space, the presentation also shows what Jisc is doing in this space, how we are doing it, and why we are doing it. The Intelligent Campus space is quite vast and wide, the Jisc project though looking at the large space is quite focused on extending our analytics services into the physical world.

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.

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.

One useful link posted to the Twitter was about the guidance on using Wifi Location Analytics and Data Protection:

After lunch we had na activity looking at use cases in the intelligent campus space.

We then had Ian and Sally taking about learning spaces at the University of Nottingham.

Jisc Intelligent Campus Community Event

We also heard details about their Microsoft Surface Hub pilot.

Jisc Intelligent Campus Community Event

The final session of the day was a round table with delegates in the room discussing what was happening in their organisations.

Jisc Intelligent Campus Community Event

The second of these events took place a few weeks later in Glasgow.

The third of these events is being hosted and  taking place at Plymouth Marjon University on the 21st June 2018 from 10:00 to 4:00, and lunch will be provided.

You will have the opportunity to discover more about the Jisc project that is being undertaken in the Intelligent Campus space as well as hear from others about their work in this exciting topic. There will be plenty of opportunities for discussion and networking.

Book now.

Reflections on the Intelligent Campus Community Event in Glasgow

Intelligent Campus Community Event 10th April 2018 – Glasgow

Travelling up to Glasgow I was reminded how airports are using a range of technologies to track and cater for passengers as they travel by air. We know big airports are using technologies such as wayfinding to help travellers quickly access the right gate when boarding their plane for example. These technologies are easily transferable to the education setting, but we do need to consider not only if we can do this, but should we, how does this enhance the student experience and what are the benefits to the institution?

Glasgow was the setting for our second Intelligent Campus Community Event for our growing community of practice. The community of practice gives people an opportunity to network, share practice, hear what various institutions are doing and what Jisc is doing in this space. We had delegates from across Scottish HE and FE, in addition to numerous English and Northern Irish colleagues from as far away as Kent, Weston-super-Mare and Belfast.

Since our last community event not a huge amount has happened in the two or so weeks since then, and it was a very different audience, so I repeated the session I did in Sheffield on the project and where we were.

As well as covering some of the background to the Intelligent Campus space, the presentation also shows what Jisc is doing in this space, how we are doing it, and why we are doing it. The Intelligent Campus space is quite vast and wide, the Jisc project though looking at the large space is quite focused on extending our analytics services into the physical world.

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.

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.

After my introduction and overview of the project, we had Michael Burns from the University of Glasgow talk about the background and history of their Smart City initiative as part of their new £800m campus extension.

Intelligent Campus Community Event 10th April 2018 – Glasgow

After lunch we had na activity looking at use cases in the intelligent campus space.

Then Professor Matthew Chalmers from the School of Computing Science at the University of Glasgow gave a presentation on his work on Bluetooth beacons and sensors acorns the Glasgow campus and the impact it had on the student experience.

Following Matthew, Ben Fairburn from Cisco talked about their experiences in creating an intelligent campus at Cisco. This has a lot implications for HE and FE institutions where 50% of staff are in management, professional, service and administrative roles.

Intelligent Campus Community Event 10th April 2018 – Glasgow

At the end of the day Professor Brian Murphy from Ulster University talked about their plans of using AI within their new campus.

Intelligent Campus Community Event 10th April 2018 – Glasgow

The third of these events is being hosted and  taking place at Plymouth Marjon University on the 21st June 2018 from 10:00 to 4:00, and lunch will be provided.

You will have the opportunity to discover more about the Jisc project that is being undertaken in the Intelligent Campus space as well as hear from others about their work in this exciting topic. There will be plenty of opportunities for discussion and networking.

Book now.

CANCELLED – Intelligent Campus Community Event 21st June 2018 – Plymouth Marjon University

CANCELLED

We are sorry to notify you that we’ve had a limited number of bookings for the Intelligent Campus Community Event at Plymouth on 21st June and we have therefore decided to cancel the event.

We will be running a future community event later on in the year so please do look for any updates on our website.

Our apologies for any inconvenience caused.

vine-1010002_1920

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 one of our community events.

The community of practice gives people an opportunity to network, share practice, hear what various institutions are doing and what Jisc is doing in this space.

  • Smart City
  • Smart Campus
  • Wayfinding
  • Wi-Fi Heat Mapping
  • Mapping
  • Space Utilisation
  • Smart Buildings
  • RFID tracking
  • Wi-Fi tracking
  • Facial recognition
  • Chatbots
  • Robots
  • Artificial Intelligence

The third of these events is being hosted and  taking place at Plymouth Marjon University on the 21st June 2018 from 10:00 to 4:00, and lunch will be provided.

You will have the opportunity to discover more about the Jisc project that is being undertaken in the Intelligent Campus space as well as hear from others about their work in this exciting topic. There will be plenty of opportunities for discussion and networking.

Book now.