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Presentation on on GPS and location based learning using mobile devices, it will cover some of the GPS devices out there and how location based learning can be used.
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What do we understand by Education 4.0 and the potential impact on universities?
How will teaching be transformed?
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Could we re-imagine assessment?
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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.
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- The document discusses priorities and initiatives for higher education learning and teaching, including:
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- Creating an "Intelligent Campus" using data to improve the student experience and institutional efficiencies.
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- Publishing reports on next generation digital learning environments and teaching practices.
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The document discusses an "Intelligent Campus" project that aims to improve the student experience, make smarter use of campus space, and increase organizational efficiencies through the use of data and technology. It notes the project has engaged over 120 universities and colleges and is collaborating with a small number of pilot programs to test uses of an intelligent campus technology infrastructure.
The Intelligent Science Park
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.
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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.
Siemens Presentation - Intelligent Campus Community Event - 17th January 2019
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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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.
Technical Update - Intelligent Campus Community Event - 17th January 2019
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.
Intelligent Campus Community Event - 17th January 2019
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.
Smart Communities
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?
Jisc Digital Futures Learning Call Intelligent Campus
The document discusses the Intelligent Campus project, which aims to improve the student experience by capturing and analyzing various data collected across university campuses. It does this by extending an existing Learning Data Hub to gather additional physical and usage data. Analyzing patterns in space and resource usage will allow smarter allocation of facilities and curriculum improvements. The project is currently in Phase 1, piloting data extraction and analysis at select institutions to generate insights that can help optimize operations. Future phases will expand partnerships and tools to develop the project into a broader service.
It’s a Web 2.0 World
James Clay, the ILT and Learning Resources Manager at Gloucestershire College, gave a presentation on Web 2.0 services. He demonstrated several services like blogs, social bookmarking, podcasts, social networks, photo sharing, and video sharing. Attendees then tried out the services in groups, discussed how they could be used for learning, and gave feedback on the presentation.
More from James Clay (20)
Education 4.0 – Key Trends in the Current Digital Landscape
Education 4.0 – Key Trends in the Current Digital Landscape
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Boosting Student Retention and Achieving Strategic Goals Through Data and Ana...
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What do we understand by Education 4.0 and the potential impact on universities?
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What is required of us as educators for the future
Siemens Presentation - Intelligent Campus Community Event - 17th January 2019
Siemens Presentation - Intelligent Campus Community Event - 17th January 2019
Legal and Ethics - Intelligent Campus Community Event - 17th January 2019
Legal and Ethics - Intelligent Campus Community Event - 17th January 2019
Richmond upon Thames College Presentation Intelligent Campus Community Event ...
Richmond upon Thames College Presentation Intelligent Campus Community Event ...
Technical Update - Intelligent Campus Community Event - 17th January 2019
Technical Update - Intelligent Campus Community Event - 17th January 2019
Intelligent Campus Community Event - 17th January 2019
Intelligent Campus Community Event - 17th January 2019
Jisc Digital Futures Learning Call Intelligent Campus
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Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
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His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
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