e-Books go Mobile!

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Through the use of a number of mobile devices James will give an overview of how the FE sector is promoting their e-book collections through mobile technologies and how this can enhance the learning experience and extend the access and use of e-books.

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How will teaching be transformed? What does personalised adaptive learning look like? Could we re-imagine assessment? Do we need to build a fluid digital campus? What needs to be in place to make that happen? What do you need to do, to make that happen? What about privacy, ethics and security? Digital is core to the UK’s higher education sector, enhancing and creating efficiencies across all aspects of the student experience and supporting staff in delivering excellence. Jisc is the UK digital body dedicated to the education and research communities. Jisc’s vision is for the UK to be the best research and education nation in its use of digital technologies. “New technologies and approaches are merging the physical, digital, and biological worlds in ways that will fundamentally transform humankind. The extent to which that transformation is positive will depend on how we navigate the risks and opportunities that arise along the way. The changes are so profound that, from the perspective of human history, there has never been a time of greater promise or potential peril.” – The Fourth Industrial Revolution by Klaus Schwab, founder of the World Economic Forum The UK education sector needs to transform to meet the requirements of industry 4.0 and student expectations. Artificial intelligence and mixed reality will play a critical role in successfully upskilling, retraining and assessing our workforce to ensure no one is left behind. The world of Industry 4.0 is one of high-level skills such as analysts, AI wranglers, problem solvers and creatives, but also a world of dexterity, such as artisans, carers and robot carers and maintainers.

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Intelligent Campus introduction

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Smart buildings and spaces are already here; the technology, sensors and data analysis capability are all available, but it isn’t all joined up and so has limited scope in terms of what we can learn and how we can use the knowledge. Could we build not just a smart science park, but start to build an intelligent science park, where data from the physical, digital and online environments can be combined and analysed, opening up vast possibilities for more effective use of spaces, buildings, energy, people, and then some…

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What is required of us as educators for the future

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The smart campus is already here; the technology, sensors and data analysis capability is all available, but it isn’t all joined up and so has limited scope in terms of what we can learn and how we can use the knowledge. In order to enhance the student experience, allow for more effective and efficient use of space, could we take the smart campus and make it intelligent? Universities and colleges spend billions on their campuses, yet they are frequently underutilised and are often a frustrating experience for students. In this session, I will describe the campus of the future. How does a traditional campus become a smart campus? What are the steps to make a smart campus, an intelligent campus? We have an opportunity to provide our members with a service that can help them address that problem. If we extend our learning analytics infrastructure to collect data from a wider range of institutional software and devices then we can deliver novel insights to institutional managers to help them make their campuses more efficient, improve student experience and deliver higher quality teaching. The future intelligent campus service aims to find effective ways to use data gathered from the physical estate and combine it with learning and student data from student records, library systems, the virtual learning environment (VLE) and other digital systems. This session will describe what data can be gathered, how it can be measured and explore the potential for enhancing the student experience. It will demonstrate and explain to the delegates what the exciting future of the intelligent campus. Importantly I will also ask delegates to consider the ethical issues when implementing an intelligent campus as well as the legal requirements.

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Siemens vision of the campus of the future. f you are working in the area of the intelligent campus and have an interest in the work being undertaken in this space, we would like to invite you to attend the third of our community events. This community of practice gives people a chance to network, share practice and hear what various institutions are doing. You will have the opportunity to discover more about our intelligent campus project and our work in this space.

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How Jisc is developing guidance on the legal and ethical aspects of the Intelligent Campus. If you are working in the area of the intelligent campus and have an interest in the work being undertaken in this space, we would like to invite you to attend the third of our community events. This community of practice gives people a chance to network, share practice and hear what various institutions are doing. You will have the opportunity to discover more about our intelligent campus project and our work in this space.

Legal and Ethics - Intelligent Campus Community Event - 17th January 2019

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If you are working in the area of the intelligent campus and have an interest in the work being undertaken in this space, we would like to invite you to attend the third of our community events. This community of practice gives people a chance to network, share practice and hear what various institutions are doing. You will have the opportunity to discover more about our intelligent campus project and our work in this space.

Richmond upon Thames College Presentation Intelligent Campus Community Event ...

Richmond upon Thames College Presentation Intelligent Campus Community Event ...

Richmond upon Thames College Presentation Intelligent Campus Community Event ...

If you are working in the area of the intelligent campus and have an interest in the work being undertaken in this space, we would like to invite you to attend the third of our community events. This community of practice gives people a chance to network, share practice and hear what various institutions are doing. You will have the opportunity to discover more about our intelligent campus project and our work in this space. In the technical update, we talked about the architecture, infrastructure behind the proposed service, how we are building a prototype in the Jisc offices and delivered a live demo.

Technical Update - Intelligent Campus Community Event - 17th January 2019

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If you are working in the area of the intelligent campus and have an interest in the work being undertaken in this space, we would like to invite you to attend the third of our community events. This community of practice gives people a chance to network, share practice and hear what various institutions are doing. You will have the opportunity to discover more about our intelligent campus project and our work in this space.

Intelligent Campus Community Event - 17th January 2019

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Jisc are 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. Jisc is the UK higher, further education and skills sectors’ not-for-profit organisation for digital services and solutions. James Clay from Jisc will explore the concept of learning analytics, what kinds of data we can gather about students and their activity, how we can analyse that data and what that data tells us. Can we use data and metrics to improve the student experience? At the core of the Jisc learning analytics service is the learning data hub where academic and engagement data is collected, stored and processed. In our Intelligent Campus project we want to extend that learning data hub to enable data to be gathered in from physical places (movement trackers, heat and CO2 sensors, smart buildings, 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. The internet of things, mobile devices, and wifi makes it possible for us to gather real-time data about the environment and usage of our campuses. It is easy to imagine using this data to ensure the campus is managed effectively, but could we go further and adjust environmental conditions to improve learning. Even using facial recognition software, student reactions as they use the campus so that we can continually refine the learning experience. We can already gather data from the digital environment , library usage, VLE activity, attendance, student records. 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. 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 campus is used as effectively as possible. What happens when we take the next step and integrate with local communities and start to interface and integrate with smart communities and smart cities? What are the potential solutions and challenges in this space?

Smart Communities

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In BC’s nearly-decade-old “new” curriculum, the curricular competencies describe the processes that students are expected to develop in areas of learning such as mathematics. They reflect the “Do” in the “Know-Do-Understand” model. Under the “Communicating” header falls the curricular competency “Explain and justify mathematical ideas and decisions.” Note that it contains two processes: “Explain mathematical ideas” and “Justify mathematical decisions.” I have broken it down into its separate parts in order to understand--or reveal--its meaning. The first part is commonplace in classrooms. By now, BC math teachers—and students—understand that “Explain mathematical ideas” means more than “Show your work.” Teachers consistently ask “What did you do?” and “How do you know?” This process is about retelling, not just of steps but of thinking. The second part happens less frequently. Think back to the last time that you observed a student make—a necessary precursor to justify—a mathematical decision. “Justify” is about defending. Like “explain,” it involves reasoning; unlike “explain,” it also involves opinion and debate. In order to reinterpret the curricular competency “Explain and justify mathematical ideas and decisions,” I will continue to take apart its constituent part “Justify mathematical decisions” and carefully examine the term “mathematical decisions.” What, exactly, is a “mathematical decision”? Below, I will categorize answers to this question. These categories, and the provided examples, may help to suggest new opportunities for students to justify.

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