Trends in intelligent campus development
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The intelligent campus community
The community of practice gives people an opportunity to network, share practice, hear what various institutions are doing and what Jisc is doing in the intelligent campus space. The community will understand how the intelligent campus project is developing and progressing. This ten minute lightning talk will provide an overview of the intelligent campus project. Why we are building a community and what they will gain and benefit from by being part of the community. They will also find out how to get involved.
The challenge of the intelligent library
The document discusses the intelligent library and campus projects. It describes how data from physical spaces, systems, and student activities can be captured and analyzed to improve the student experience and campus operations. The goals are to enable more effective use of spaces, personalized navigation of campus, and optimizing comfort and learning. Challenges include implementing necessary technologies, addressing privacy and ethics, and determining what data to capture and how to analyze it.
Towards the Intelligent Campus: First Steps with AI
Slides from talk delivered by Professor Brian Murphy of Ulster University at the second Intelligent Campus Community Event held at the University of Glasgow on the 10th April 2018.
Augmenting Formal and Semi-formal Learning Spaces by Creating 'Learning Zones...
Dr. Ian Glover implemented Bluetooth beacons at the Graphic Design studio at Sheffield Hallam University to create "learning zones" and foster the development of learning communities. The beacons were used to curate and share resources between peers, provide guidance from tutors, and connect students to professional design communities. Students reported an increased sense of community and understanding of design processes. Staff were interested in further integrating technology into the physical learning space. The project blog provides more details on using beacon technology in educational settings.
Smart Campus: Some Pilots
Presentation from Professor Matthew Chalmers from the School of Computing Science at the University of Glasgow who gave a presentation on beacons at the Intelligent Campus Community Event on the 10th April 2018.
Intelligent Campus update April 2018
These are the slides from the Community Events run in Sheffield on the 23rd March and in Glasgow on the 10th April and provide an update on progress of the project and where we plan to go.
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.
Information Points
Presentation from the Jisc Intelligent Campus Community Event on the 23rd March 2018 at Sheffield Hallam University.
Recommended
The intelligent campus community
The community of practice gives people an opportunity to network, share practice, hear what various institutions are doing and what Jisc is doing in the intelligent campus space. The community will understand how the intelligent campus project is developing and progressing. This ten minute lightning talk will provide an overview of the intelligent campus project. Why we are building a community and what they will gain and benefit from by being part of the community. They will also find out how to get involved.
The challenge of the intelligent library
The document discusses the intelligent library and campus projects. It describes how data from physical spaces, systems, and student activities can be captured and analyzed to improve the student experience and campus operations. The goals are to enable more effective use of spaces, personalized navigation of campus, and optimizing comfort and learning. Challenges include implementing necessary technologies, addressing privacy and ethics, and determining what data to capture and how to analyze it.
Towards the Intelligent Campus: First Steps with AI
Slides from talk delivered by Professor Brian Murphy of Ulster University at the second Intelligent Campus Community Event held at the University of Glasgow on the 10th April 2018.
Augmenting Formal and Semi-formal Learning Spaces by Creating 'Learning Zones...
Dr. Ian Glover implemented Bluetooth beacons at the Graphic Design studio at Sheffield Hallam University to create "learning zones" and foster the development of learning communities. The beacons were used to curate and share resources between peers, provide guidance from tutors, and connect students to professional design communities. Students reported an increased sense of community and understanding of design processes. Staff were interested in further integrating technology into the physical learning space. The project blog provides more details on using beacon technology in educational settings.
Smart Campus: Some Pilots
Presentation from Professor Matthew Chalmers from the School of Computing Science at the University of Glasgow who gave a presentation on beacons at the Intelligent Campus Community Event on the 10th April 2018.
Intelligent Campus update April 2018
These are the slides from the Community Events run in Sheffield on the 23rd March and in Glasgow on the 10th April and provide an update on progress of the project and where we plan to go.
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.
Information Points
Presentation from the Jisc Intelligent Campus Community Event on the 23rd March 2018 at Sheffield Hallam University.
Legal and Ethics - Intelligent Campus Community Event - 17th January 2019
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.
Digital horizon: The intelligent campus
From a session at the Jisc CNI Library Consultation - Libraries at the heart of the institution. This event aims to explore the role of libraries in UK education over the next 10 years and beyond. With a focus on the changing digital landscape we want to promote a discussion about what this means for UK higher education libraries, how we will meet the challenges of tomorrow, and work together to place libraries at the heart of our institutions to enhance the experience of our staff and students. An overview of Jisc’s intelligent campus project, our direction of travel and why.
The Challenge of the Intelligent Library - UKeiG Presentation
There has been plenty of hype over artificial intelligence and the internet of things. Is it time to put aside the cynicism that this kind of hype generates and look seriously at how we can take advantage of these emerging technologies to improve the student experience and build an intelligent library?
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?
Most smartphones now make use of artificial intelligence to make contextual recommendations based on an individual’s location and interests. Could libraries take advantage of this technology to push information and learning resources to students? If we could, it offers some interesting possibilities. On-campus notifications could nudge students to make best use of the available services such as the library. Off-campus notifications could encourage them to take advantage of the learning opportunities all around them. Could we use approaches like this to turn student’s smartphones into educational coaches, nudging students towards the choices that lead to higher grades and prompting them to expand their learning horizons.
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. These tracking technologies are already widespread in environments such as airports and retail. Often using wifi tracking to track users via their wifi enabled devices and smartphones. In addition sensors are used to track space utilisation and occupancy. 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 library is used as effectively as possible.
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?
ILRI Research Methods Group (RMG): Unified research computing platform
The document discusses the ILRI Research Methods Group's creation of a unified research computing platform to support ILRI's data, computation, and research needs in a centralized manner. This platform aims to create a center of excellence, reduce overhead costs, and allow for more accurate projections and faster results through better tools, analysis, and avoided duplication of efforts. The platform is being built using open-source cloud technologies and incorporates aspects of legacy systems to provide institute-wide support for computation, data, and research needs.
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This document discusses big data and learning analytics in education. It notes a shift from simply collecting data to connecting data from multiple sources, both structured and unstructured. It also discusses developing data-informed mindsets and the management and use of real-time data. Finally, it references resources from JISC Cetis on the landscape of analytics in education and practical guidance on using analytics, including addressing topics like whole institutional issues, research, teaching and learning, and skills and literacies.
Big Data and the pursuit of African "indigenuity"
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This document provides an overview of analytics for learning and discusses implementation at GRCC. It begins with definitions of analytics, business intelligence, academic analytics, and learning analytics. It then discusses GRCC's strategic needs in areas like access to data, early alert systems, and measuring outcomes. The document outlines GRCC's analytics implementation, including hiring a data warehouse architect and campus training. It shows sample student and instructor reports in Blackboard Analytics and discusses next steps like dedicating time, building capacity, and engaging culture. It provides additional analytics resources.
Resume
Akhilesh Reddy Narapareddy is seeking a role in business analytics. He has a Master's in Business Analytics from UT Austin and a Bachelor's in Electronics and Communication from Pondicherry University. He has over 3 years of experience as a Decision Scientist at Mu Sigma, where he led a team, created predictive models, and performed data analysis to help large retailers and media companies. He is proficient in R, SQL, Python, Tableau and has certifications in decision science.
2019 04-01 data forum final
This presentation was made at the Public Sector Data Management Forum held in Melbourne in 2nd April 2019. In this presentation, Richard provided insights into the challenges he has observed regarding the theme of "scoping integrated data management" - taking an inter-disciplinary perspective where data management is conceived as a function that forms part of a wider broadly based knowledge ecology.
Gwi dm intro_20140605
The document discusses data management best practices and resources at the University of Tennessee. It explains that a data management plan should describe how research data will be handled, preserved, and shared. The document provides information on metadata, versioning, file organization, and backup strategies. It also lists resources at the Office of Information Technology and University Libraries, including data curation librarian Chris Eaker, who can assist with creating data management plans and guidance on best practices.
ICRISAT Global Planning Meeting 2019: Research Data Management by Abhishek Ra...
ICRISAT has developed various data management and sharing platforms for better pedigree management, breeding practice analysis, survey management, climate prediction activities and the like, for better data management and to maximize the benefits of these research data as long term assets of ICRISAT and the global scientific community.
An Overview of Plans for SEAD
SEAD is a collaboration between several universities that aims to create a virtual organization dedicated to supporting sustainability science. During an initial 18-month period, SEAD will develop a model for active and social curation that engages scientists in community data management. The project will develop a working prototype including an Active Content Repository to collect and integrate data from multiple projects, and a Virtual Long-Term Archive that functions as a thin layer presenting uniform access to distributed institutional storage. Early results from the Active Content Repository and Virtual Long-Term Archive components are expected to be available in late 2012.
JISC RSC SE update for AOSEC Libraries & ICT Learning centres network
presentation from Andy Kirk of JISC RSC South East to members of AOSEC's Libraries & ICT Learning Centres network. SEEDA, Guildford November 15th 2007. The focus of the day was on Federated Access Management
From Data to Visualization: Emerging Tools for Research / Jan Johansson
1. The document discusses tools and challenges for data visualization, including emerging tools like Swivel and Many Eyes, as well as risks like misleading visualizations.
2. It outlines goals of the Datasets Product to be a central repository of relevant statistical data and make data easy to analyze through ranking, trending, and mapping.
3. The document describes approaches taken to develop an interface for exploring data, challenges in working with large and complex datasets from various sources, and lessons learned around citing data sources and output formats.
From collecting archives to managing information: ICRC information management...
The International Committee of the Red Cross (ICRC) is expanding the role of its archives and information management services to encompass the full information lifecycle. This includes acquiring and preserving archives, records management, information governance, and providing support services across the organization. The ICRC's strategic plans emphasize improving information sharing and management. As a result, the archives and information management unit is developing an information management program and taking on new responsibilities like managing collaboration tools and digital workspaces. This positions information management as a strategic partner and changes its relationship with both business units and the IT department.
What is the Intelligent Campus
The document discusses the intelligent campus project, which aims to improve the student experience by capturing and analyzing various data collected on university campuses. This includes physical data from sensors as well as academic and engagement data. The goals are to enable students to learn more effectively, optimize their environment and experience, and help institutions make more efficient use of facilities and resources. It is a long-term project that involves developing tools and infrastructure to support data gathering and analysis over time.
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.
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The intelligent campus community
Speaker: James Clay, senior co-design manager, Jisc.
The community of practice gives people an opportunity to network, share practice, hear what various institutions are doing and what Jisc is doing in the intelligent campus space. The community will understand how the intelligent campus project is developing and progressing. This ten minute lightning talk will provide an overview of the intelligent campus project. Why we are building a community and what they will gain and benefit from by being part of the community. They will also find out how to get involved.
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Birgit Plietzsch “RDM within research computing support” SALCTG June 2013
An overview of Research Data Management: the research process from developing ideas to preservation of data; funder perspectives, the impact on the wider service, Data Asset Frameworks, preservation and access, and cost implications.
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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.
Digital horizon: The intelligent campus
From a session at the Jisc CNI Library Consultation - Libraries at the heart of the institution. This event aims to explore the role of libraries in UK education over the next 10 years and beyond. With a focus on the changing digital landscape we want to promote a discussion about what this means for UK higher education libraries, how we will meet the challenges of tomorrow, and work together to place libraries at the heart of our institutions to enhance the experience of our staff and students. An overview of Jisc’s intelligent campus project, our direction of travel and why.
The Challenge of the Intelligent Library - UKeiG Presentation
There has been plenty of hype over artificial intelligence and the internet of things. Is it time to put aside the cynicism that this kind of hype generates and look seriously at how we can take advantage of these emerging technologies to improve the student experience and build an intelligent library?
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?
Most smartphones now make use of artificial intelligence to make contextual recommendations based on an individual’s location and interests. Could libraries take advantage of this technology to push information and learning resources to students? If we could, it offers some interesting possibilities. On-campus notifications could nudge students to make best use of the available services such as the library. Off-campus notifications could encourage them to take advantage of the learning opportunities all around them. Could we use approaches like this to turn student’s smartphones into educational coaches, nudging students towards the choices that lead to higher grades and prompting them to expand their learning horizons.
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. These tracking technologies are already widespread in environments such as airports and retail. Often using wifi tracking to track users via their wifi enabled devices and smartphones. In addition sensors are used to track space utilisation and occupancy. 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 library is used as effectively as possible.
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?
ILRI Research Methods Group (RMG): Unified research computing platform
The document discusses the ILRI Research Methods Group's creation of a unified research computing platform to support ILRI's data, computation, and research needs in a centralized manner. This platform aims to create a center of excellence, reduce overhead costs, and allow for more accurate projections and faster results through better tools, analysis, and avoided duplication of efforts. The platform is being built using open-source cloud technologies and incorporates aspects of legacy systems to provide institute-wide support for computation, data, and research needs.
Big data and learning analytics altc2 2012 smn
This document discusses big data and learning analytics in education. It notes a shift from simply collecting data to connecting data from multiple sources, both structured and unstructured. It also discusses developing data-informed mindsets and the management and use of real-time data. Finally, it references resources from JISC Cetis on the landscape of analytics in education and practical guidance on using analytics, including addressing topics like whole institutional issues, research, teaching and learning, and skills and literacies.
Big Data and the pursuit of African "indigenuity"
The document discusses how big data and data analytics can be leveraged in research management. It provides examples of how tools like SciVal and the Elsevier Fingerprint Engine use massive amounts of research data from Scopus to generate insights like identifying areas of research strength, benchmarking institutions, exploring potential collaborations, and identifying overlapping research areas between countries that could indicate new partnership opportunities. These types of analyses can highlight properties of research systems that could inform strategies at institutional, national, or regional levels.
Mi bug grcc analytics presentation 2013
This document provides an overview of analytics for learning and discusses implementation at GRCC. It begins with definitions of analytics, business intelligence, academic analytics, and learning analytics. It then discusses GRCC's strategic needs in areas like access to data, early alert systems, and measuring outcomes. The document outlines GRCC's analytics implementation, including hiring a data warehouse architect and campus training. It shows sample student and instructor reports in Blackboard Analytics and discusses next steps like dedicating time, building capacity, and engaging culture. It provides additional analytics resources.
Resume
Akhilesh Reddy Narapareddy is seeking a role in business analytics. He has a Master's in Business Analytics from UT Austin and a Bachelor's in Electronics and Communication from Pondicherry University. He has over 3 years of experience as a Decision Scientist at Mu Sigma, where he led a team, created predictive models, and performed data analysis to help large retailers and media companies. He is proficient in R, SQL, Python, Tableau and has certifications in decision science.
2019 04-01 data forum final
This presentation was made at the Public Sector Data Management Forum held in Melbourne in 2nd April 2019. In this presentation, Richard provided insights into the challenges he has observed regarding the theme of "scoping integrated data management" - taking an inter-disciplinary perspective where data management is conceived as a function that forms part of a wider broadly based knowledge ecology.
Gwi dm intro_20140605
The document discusses data management best practices and resources at the University of Tennessee. It explains that a data management plan should describe how research data will be handled, preserved, and shared. The document provides information on metadata, versioning, file organization, and backup strategies. It also lists resources at the Office of Information Technology and University Libraries, including data curation librarian Chris Eaker, who can assist with creating data management plans and guidance on best practices.
ICRISAT Global Planning Meeting 2019: Research Data Management by Abhishek Ra...
ICRISAT has developed various data management and sharing platforms for better pedigree management, breeding practice analysis, survey management, climate prediction activities and the like, for better data management and to maximize the benefits of these research data as long term assets of ICRISAT and the global scientific community.
An Overview of Plans for SEAD
SEAD is a collaboration between several universities that aims to create a virtual organization dedicated to supporting sustainability science. During an initial 18-month period, SEAD will develop a model for active and social curation that engages scientists in community data management. The project will develop a working prototype including an Active Content Repository to collect and integrate data from multiple projects, and a Virtual Long-Term Archive that functions as a thin layer presenting uniform access to distributed institutional storage. Early results from the Active Content Repository and Virtual Long-Term Archive components are expected to be available in late 2012.
JISC RSC SE update for AOSEC Libraries & ICT Learning centres network
presentation from Andy Kirk of JISC RSC South East to members of AOSEC's Libraries & ICT Learning Centres network. SEEDA, Guildford November 15th 2007. The focus of the day was on Federated Access Management
From Data to Visualization: Emerging Tools for Research / Jan Johansson
1. The document discusses tools and challenges for data visualization, including emerging tools like Swivel and Many Eyes, as well as risks like misleading visualizations.
2. It outlines goals of the Datasets Product to be a central repository of relevant statistical data and make data easy to analyze through ranking, trending, and mapping.
3. The document describes approaches taken to develop an interface for exploring data, challenges in working with large and complex datasets from various sources, and lessons learned around citing data sources and output formats.
From collecting archives to managing information: ICRC information management...
The International Committee of the Red Cross (ICRC) is expanding the role of its archives and information management services to encompass the full information lifecycle. This includes acquiring and preserving archives, records management, information governance, and providing support services across the organization. The ICRC's strategic plans emphasize improving information sharing and management. As a result, the archives and information management unit is developing an information management program and taking on new responsibilities like managing collaboration tools and digital workspaces. This positions information management as a strategic partner and changes its relationship with both business units and the IT department.
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ILRI Research Methods Group (RMG): Unified research computing platform
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What is the Intelligent Campus
The document discusses the intelligent campus project, which aims to improve the student experience by capturing and analyzing various data collected on university campuses. This includes physical data from sensors as well as academic and engagement data. The goals are to enable students to learn more effectively, optimize their environment and experience, and help institutions make more efficient use of facilities and resources. It is a long-term project that involves developing tools and infrastructure to support data gathering and analysis over time.
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.
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Speaker: James Clay, senior co-design manager, Jisc.
The community of practice gives people an opportunity to network, share practice, hear what various institutions are doing and what Jisc is doing in the intelligent campus space. The community will understand how the intelligent campus project is developing and progressing. This ten minute lightning talk will provide an overview of the intelligent campus project. Why we are building a community and what they will gain and benefit from by being part of the community. They will also find out how to get involved.
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The physicality of online learning is an issue that will impact on university campuses as more institutions move to a blended programmes containing elements of online and digital learning and physical in-person learning. In this session James Clay from Jisc will explore the challenges that growth in online learning will bring to learning spaces and the university campus. He will explore what is required for, in terms of space for online learning, but will also consider the space and design implications of delivering online teaching as well. He will discuss what some universities are doing today to meet these challenges and requirements. He will reflect on a possible future where we are able to maximise the use of our space as students have the flexibility to learn online, in-person and across a spectrum of blended possibilities.
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The document discusses latest trends in intelligent campus design, including the development of smart buildings and data hubs that collect and analyze building data. These systems aim to enhance the student experience through intelligent learning and research spaces. Data is collected from various sources like student records, estate information, calendars, and library/energy usage, and stored and analyzed through a central data aggregator and analytics processor. The goal is to create an intelligent estate that facilitates an optimized experience through smart workspaces and collaboration, supported by data-driven insights.
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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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Learning and teaching
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- Working with universities to prototype new digital learning services and approaches.
NGLE Introduction
Jisc has published reports on next generation learning environments and teaching practices in higher education and further education. It is working with universities and colleges to understand changing behaviors and needs of staff and students. Jisc aims to develop an understanding of next generation digital learning, explore and create prototype new services, and trial new approaches by partnering with innovative individuals.
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Building the Intelligent Campus
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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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.
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Trends in intelligent campus development
- 1. Intelligent Campus Using data to make smarter use of your university or college estate
- 2. Intelligent Campus What is the Intelligent Campus? 27/02/2018
- 4. Intelligent Campus What is the project? 27/02/2018
- 5. The Intelligent Campus »The core aim of the Intelligent Campus project is to improve the student experience by capturing and analysing the many kinds of data that can be collected across university and college campuses. »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. Using data to make smarter use of your estate 27/02/2018 Intelligent Campus 5
- 6. The Intelligent Campus »An intelligent campus could also enable organisations to reduce their environmental impact by monitoring and managing energy use in real time, to streamline waste management, to move supplies around site more efficiently… »The list of potential benefits is only constrained by your imagination. Using data to make smarter use of your estate 27/02/2018 Intelligent Campus 6
- 7. What are we doing? »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 (formerly called the Learning Records Warehouse) where academic and engagement data is collected, stored and processed. Using data to make smarter use of your estate 7
- 8. What are we doing? »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. Using data to make smarter use of your estate 8
- 9. Intelligent Campus – Institutional Analytics 27/02/2018 Data collection Data storage and analysis Presentation and action UDD Transformation Toolkit Plugins and/or Universal xAPI Translator Student Records VLELibrary ExternalEstate Data TimetablingMapping AttendanceTracking ParkingEnergyUtilisationCalendar Learning Analytics Processor Data AggregatorLearning Data Hub The Intelligent Estate Enhanced Student Experience Intelligent WorkspacesIntelligent Learning Spaces Smart City
- 12. 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 theTwitter conversation: #intelligentcampus 12
- 13. Come to our community events »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 our community events for HE and FE. › Intelligent Campus Community Event 23rd March 2018 – Sheffield › Intelligent CampusCommunity Event 10th April 2018 – Glasgow »Book now - https://jisc.ac.uk/events 13