Boosting Student Retention and Achieving Strategic Goals Through Data and Analytics
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Tackling the student mental health challenge by utilising data to enhance student support mechanisms Transforming learning experience and helping students learn more through personalisation and analytics Utilising practical mechanisms for engaging with staff and students in order to make smarter procurements in tech
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Powering HE
Jisc aims to support UK universities through technology and digital transformation. It provides digital infrastructure and services to improve education and research. Jisc's vision is for UK institutions to be world leaders in applying technology. The COVID-19 pandemic accelerated the need for technology-enabled learning. Jisc's report recommends universities embed digital culture, invest in blended learning, and ensure inclusivity and accessibility in curriculum redesign. Going forward, Jisc will help universities in areas like leadership, learning and teaching, student experience, and research through solutions, advice and partnerships.
Dual Mode Teaching
This document discusses dual-mode or hybrid teaching, where students are taught both face-to-face in a classroom and online simultaneously. It notes that dual-mode teaching works best when it combines the in-person and online experience into a cohesive whole that keeps the class together and allows all students to be included. However, it cautions that dual-mode teaching should only be used if it is pedagogically appropriate for both in-person and remote students and there is adequate staffing to fully integrate remote students. The challenge is to provide an equitable experience for both groups using technologies not originally intended for this type of dual delivery.
How will the growth in online learning shape the future design of learning sp...
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.
Powering UK higher education
Presentation to the University Alliance Teaching and Learning Network Meeting by Jisc on Learning and teaching reimagined and Powering higher education
Education 4.0 – Key Trends in the Current Digital Landscape
Education is changing due to digital technologies. The current digital landscape includes trends like personalized learning, new forms of credentials, and the blending of online and offline education experiences. Universities must adapt to remain relevant by embracing new technologies and developing digital strategies.
Latest trends in intelligent campus design
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.
The iPad is the Future of Reading
Presentation from the ULCC Future of Technology in Education Conference 1st October 2010.
There is something very beautiful and sensual about a new book. As you open it for the first time you can feel the stiffness of the spine of a book that has never been read. Books are indeed wonderful things, but still, the iPad is the future of reading…
What do we understand by Education 4.0 and the potential impact on universities?
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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Jisc aims to support UK universities through technology and digital transformation. It provides digital infrastructure and services to improve education and research. Jisc's vision is for UK institutions to be world leaders in applying technology. The COVID-19 pandemic accelerated the need for technology-enabled learning. Jisc's report recommends universities embed digital culture, invest in blended learning, and ensure inclusivity and accessibility in curriculum redesign. Going forward, Jisc will help universities in areas like leadership, learning and teaching, student experience, and research through solutions, advice and partnerships.
Dual Mode Teaching
This document discusses dual-mode or hybrid teaching, where students are taught both face-to-face in a classroom and online simultaneously. It notes that dual-mode teaching works best when it combines the in-person and online experience into a cohesive whole that keeps the class together and allows all students to be included. However, it cautions that dual-mode teaching should only be used if it is pedagogically appropriate for both in-person and remote students and there is adequate staffing to fully integrate remote students. The challenge is to provide an equitable experience for both groups using technologies not originally intended for this type of dual delivery.
How will the growth in online learning shape the future design of learning sp...
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.
Powering UK higher education
Presentation to the University Alliance Teaching and Learning Network Meeting by Jisc on Learning and teaching reimagined and Powering higher education
Education 4.0 – Key Trends in the Current Digital Landscape
Education is changing due to digital technologies. The current digital landscape includes trends like personalized learning, new forms of credentials, and the blending of online and offline education experiences. Universities must adapt to remain relevant by embracing new technologies and developing digital strategies.
Latest trends in intelligent campus design
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.
The iPad is the Future of Reading
Presentation from the ULCC Future of Technology in Education Conference 1st October 2010.
There is something very beautiful and sensual about a new book. As you open it for the first time you can feel the stiffness of the spine of a book that has never been read. Books are indeed wonderful things, but still, the iPad is the future of reading…
What do we understand by Education 4.0 and the potential impact on universities?
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.
You've got mail...
What’s the first thing you do in the morning? What’s the first thing you do when you sit down at your desk at work? I suspect you are probably checking your e-mail? It wouldn’t surprise me that you leave your e-mail client (like Outlook) open all the time and respond as those little pop-ups appear on your screen. So how often do you check your e-mail?
Learning and teaching
- The document discusses priorities and initiatives for higher education learning and teaching, including:
- Developing learning analytics and personalization services, as well as digital skills and capabilities.
- Creating an "Intelligent Campus" using data to improve the student experience and institutional efficiencies.
- Launching a "Sticky Campus Roadshow" to demo a mobile digital classroom.
- Publishing reports on next generation digital learning environments and teaching practices.
- 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.
Intelligent Campus introduction
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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.
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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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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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.
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.
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.
Manchester Metropolitan University at the Digital Apprenticeship Community Event
Manchester Metropolitan University uses various digital tools to deliver its degree apprenticeship programs:
1. It uses a virtual learning environment, ePortfolio, and apprenticeship learner management system to deliver educational content and manage students.
2. It collects data from these systems and others like Moodle and attendance records to create dashboards that provide oversight of key metrics to staff like progression, satisfaction, and attendance.
3. Its Onefile system maps apprenticeship standards and skills assessments and is used to track attendance, off-the-job training, and initial skills scans.
University of Leeds at the Digital Apprenticeship Community Event
Blacquiere-Clarkson from the University of Leeds talk about how they have adapted the Jisc Digital Capability framework for the apprentices at their university.
QAA at the Digital Apprenticeship Community Event
1. The Quality Assurance Agency (QAA) oversees quality assurance for higher education in the UK, including degree apprenticeships. The QAA has developed the UK Quality Code, which outlines 19 high-level expectations that all higher education providers must meet.
2. The UK Quality Code covers academic standards, quality of learning opportunities, and information about higher education provision. It applies to all modes of study, locations, and students in UK higher education. Degree apprenticeships must also meet the expectations of the Quality Code.
3. In July 2018, the QAA published new guidance on assuring quality in higher education apprenticeships. It highlights key considerations around academic standards, learning and teaching, assessment
Digital Apprenticeships Project Update
The document discusses using learning analytics and data from apprenticeships to improve the apprentice experience. It describes an initiative to collect and analyze data from all aspects of the apprenticeship journey to enhance and improve the journey. The initiative is developing a learning analytics service including a learning data hub to gather this apprenticeship data and provide analytics dashboards for employers.
University of Sheffield at the Digital Apprenticeship Community Event
The team at Sheffield gave an overview of the AMRC and what it is and does. Then was then a Sutori presentation about the Learning Analytics Journey.
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You've got mail...
What’s the first thing you do in the morning? What’s the first thing you do when you sit down at your desk at work? I suspect you are probably checking your e-mail? It wouldn’t surprise me that you leave your e-mail client (like Outlook) open all the time and respond as those little pop-ups appear on your screen. So how often do you check your e-mail?
Learning and teaching
- The document discusses priorities and initiatives for higher education learning and teaching, including:
- Developing learning analytics and personalization services, as well as digital skills and capabilities.
- Creating an "Intelligent Campus" using data to improve the student experience and institutional efficiencies.
- Launching a "Sticky Campus Roadshow" to demo a mobile digital classroom.
- Publishing reports on next generation digital learning environments and teaching practices.
- 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.
Intelligent Campus introduction
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.
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…
What is required of us as educators for the future
Slides for presentation at AoC/ETF Data Science conference
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.
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.
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.
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.
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.
Manchester Metropolitan University at the Digital Apprenticeship Community Event
Manchester Metropolitan University uses various digital tools to deliver its degree apprenticeship programs:
1. It uses a virtual learning environment, ePortfolio, and apprenticeship learner management system to deliver educational content and manage students.
2. It collects data from these systems and others like Moodle and attendance records to create dashboards that provide oversight of key metrics to staff like progression, satisfaction, and attendance.
3. Its Onefile system maps apprenticeship standards and skills assessments and is used to track attendance, off-the-job training, and initial skills scans.
University of Leeds at the Digital Apprenticeship Community Event
Blacquiere-Clarkson from the University of Leeds talk about how they have adapted the Jisc Digital Capability framework for the apprentices at their university.
QAA at the Digital Apprenticeship Community Event
1. The Quality Assurance Agency (QAA) oversees quality assurance for higher education in the UK, including degree apprenticeships. The QAA has developed the UK Quality Code, which outlines 19 high-level expectations that all higher education providers must meet.
2. The UK Quality Code covers academic standards, quality of learning opportunities, and information about higher education provision. It applies to all modes of study, locations, and students in UK higher education. Degree apprenticeships must also meet the expectations of the Quality Code.
3. In July 2018, the QAA published new guidance on assuring quality in higher education apprenticeships. It highlights key considerations around academic standards, learning and teaching, assessment
Digital Apprenticeships Project Update
The document discusses using learning analytics and data from apprenticeships to improve the apprentice experience. It describes an initiative to collect and analyze data from all aspects of the apprenticeship journey to enhance and improve the journey. The initiative is developing a learning analytics service including a learning data hub to gather this apprenticeship data and provide analytics dashboards for employers.
University of Sheffield at the Digital Apprenticeship Community Event
The team at Sheffield gave an overview of the AMRC and what it is and does. Then was then a Sutori presentation about the Learning Analytics Journey.
More from James Clay (20)
What is required of us as educators for the future
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
Jisc Digital Futures Learning Call Intelligent Campus
Manchester Metropolitan University at the Digital Apprenticeship Community Event
Manchester Metropolitan University at the Digital Apprenticeship Community Event
University of Leeds at the Digital Apprenticeship Community Event
University of Leeds at the Digital Apprenticeship Community Event
University of Sheffield at the Digital Apprenticeship Community Event
University of Sheffield at the Digital Apprenticeship Community Event
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Jemison, MacLaughlin, and Majumder "Broadening Pathways for Editors and Authors"
Jemison, MacLaughlin, and Majumder "Broadening Pathways for Editors and Authors"National Information Standards Organization (NISO)
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 9 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2024-2025 - ...
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https://app.box.com/s/tacvl9ekroe9hqupdnjruiypvm9rdaneChapter wise All Notes of First year Basic Civil Engineering.pptx
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
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Mule event processing models | MuleSoft Mysore Meetup #47
Mule event processing models | MuleSoft Mysore Meetup #47
Event Link:- https://meetups.mulesoft.com/events/details/mulesoft-mysore-presents-mule-event-processing-models/
Agenda
● What is event processing in MuleSoft?
● Types of event processing models in Mule 4
● Distinction between the reactive, parallel, blocking & non-blocking processing
For Upcoming Meetups Join Mysore Meetup Group - https://meetups.mulesoft.com/mysore/YouTube:- youtube.com/@mulesoftmysore
Mysore WhatsApp group:- https://chat.whatsapp.com/EhqtHtCC75vCAX7gaO842N
Speaker:-
Shivani Yasaswi - https://www.linkedin.com/in/shivaniyasaswi/
Organizers:-
Shubham Chaurasia - https://www.linkedin.com/in/shubhamchaurasia1/
Giridhar Meka - https://www.linkedin.com/in/giridharmeka
Priya Shaw - https://www.linkedin.com/in/priya-shaw
Stack Memory Organization of 8086 Microprocessor
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Temple of Asclepius in Thrace. Excavation results
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Educational Technology in the Health Sciences
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Wound healing PPT
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
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