Intelligent Campus introduction
•Download as PPTX, PDF•
0 likes•458 views
Short overview of Jisc's Intelligent Campus project and work.
Recommended
Recommended
More Related Content
More from James Clay
More from James Clay (20)
Recently uploaded
Recently uploaded (20)
Intelligent Campus introduction
- 1. Intelligent Campus James Clay Head of HE and student experience
- 2. Intelligent campus • Improved student experience • Smarter, more effective use of space • Increased efficiencies across the organisation • More effective interventions • Improved curriculum design and delivery Using data to make smarter use of your estate
- 3. Intelligent campus technology infrastructure
- 4. Intelligent campus • Over 120 universities and colleges engaged with project • Community events • Mailing list • Guides and use cases • Collaborating with small number of pilots What we’ve done…
Editor's Notes
- The intelligent campus project was one of five new ideas to emerge from our co-design consultations with members and other stakeholders.
- Using a wider range of data enables better intelligence and more intelligent decision making. 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. 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. 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.
- Decision making is often undertaken in silos. Using a wider range of data enables better intelligence and more intelligent decision making. Scenarios (presentation and action) 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. 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? 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. 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. 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.
- 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. 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. 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.