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Foundation Fighting Blindness homepage. Search Donate Menu Close. Search Submit. Change color Theme A. Listen to This Page. Email Share on Facebook Tweet. Location Hyatt Regency Minneapolis. Twin Cities Chapter Minnesota. The research environment has the researcher at the centre though is now highly complemented by the power of advanced digital technologies which can help mine and process information, in quantities unthinkable before, but with a sophistication previously only thought possible by humans.
Underpinning this is a vast field of research data. Researchers use virtual machines across networks allowing access to and analysis of secure and very big data. Teams including researchers, data scientists and research technologists are now common place across disciplines from the arts to bio-science. Applying for funding is supported by tools and open systems.
Much of the information required is automatically gathered and submitted. Post-award reporting needs are met with minimum intervention. Open decentralised networks across the web enable researchers, the public and machines to collaborate at scale. A national portal that automatically discovers, harvests and aggregates data about institutional facilities and creation and collaboration equipment across the UK. Could a transformative skills online training offer empower an emerging population of world class researchers? Can we build the data infrastructure that underpins metrics and indicators so that UK research is at the cutting edge and supports open scholarship?
Could an intelligent digital research assistant become a must-have tool for academic research and open scholarship? Digital research assistants support the researcher through every stage of the research process, from suggesting potential collaborations — sometimes in diverse disciplines — to marking up outputs with metadata and suggesting reviewers, saving the researcher time, and opening new opportunities.
The needs of policy and processes have resulted in institutions recording standardised and open metadata about research, increasingly automatically generated. Identifiers are now commonly used for the actors, objects and organisations within the research environment.
The research environment is more sophisticated and complex than it has ever been. While tools can help unlock new research, they can come with a steep learning curve. Researchers need a sophisticated mix of skills and a variety of resources to meet these needs. Researchers and funders use a new generation of indicators and metrics to help them assess and review research. These indicators are built on an emerging new open infrastructure supporting a more transparent research environment. We're investigating new forms of research citation and measures that could offer more accurate and transparent methods of measuring research impact based on an open approach.
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Can we build the technical infrastructure so research systems automatically share information about research outputs, processes and data? By bringing together the underlying components of research, such as data, charts, formula and software, researchers and learners have access to richer information. Research and publication systems are inter-connected to share information in an open environment, saving the time of researchers and support staff, while ensuring services and reporting are accurate and current.
We're developing a service to enable researchers to easily deposit data for publication, discovery, safe storage and long term archiving. Could a next generation scholarly communications platform enable new forms of research outputs and new channels for dissemination? Could a service largely automate the steps of article publication, easing life for authors and reducing costs?
New forms of rewards and recognition have emerged for research and the activities around research, such as peer review. This has impact across the research lifecycle, from applying for grants to reviewing outputs and the weight given to their comments. Social machines and technology-enabled social systems have become business as usual, solving complex problems at a large scale. Researchers think nothing of quickly searching for specific data to aid their research. Making use of the data, and linking it to other data sets, becomes ever easier and more sophisticated.
Research outputs in some disciplines increasingly contain the underlying data, methods, and software used by the researcher. Tools are available to automatically process the output and re-create the process, either to confirm the result, or using different inputs. The outputs of research are increasingly disseminated beyond the academy. New services enable those in industry, government and the knowledge economy to easily discover and consume highly relevant research for their requirements, resulting in informed policy decisions and new partnerships and commercial opportunities.
We're working towards a UK research data discovery service that joins up with other international effort and the UK OA infrastructure. We're currently building a research data usage statistics reporting tool. Could new tools and methods for sharing research enable machines to replicate experiments with ease? Publicly available data is now disrupting our lives in ways we never expected, just as the web did before it. No longer just silos of data, now vast interconnected pools of information. Download full version of the research vision pdf.
We will work with relevant partners from all sectors to help to develop new services that help to realise this vision.
By Learner satisfaction has increased as: Educational and vocational digital skills are now firmly embedded within the learning process and they can study flexibly They can monitor their progress towards their goals and compare themselves to peers, making it easier for them to choose pathways to employment They can display achievements and interact with potential employers building relationships whilst studying, making it easier to find employers for apprenticeships and when applying for a job College provision is allied to the local labour market ensuring there are promising careers available to learners.
How will the learning environment change to deliver this future? Colleges are physical spaces for learners to study and meet but there is an increasing move towards blended learning The drive to join up learning environments physically and virtually is encouraging innovative thinking and exploration of technology to facilitate more mobile and virtual learning. How we're helping Systems procurement We work with commercial suppliers to provide cost effective and integrated learning environment, finance, human resources and student management systems.
By The virtual learning resource centre, rather than relying on user initiated search, provides customised search and proactively delivers resources to the learner based on their need Blended and flipped learning allow learners to begin courses throughout the year and combine modules and content to personalise their learning to suit their skills and goals Learners can take courses in multiple institutions either to contribute to one qualification or to contribute to a portfolio that is externally validated.
How could we help members change their learning environment? Seamless enrolment What if one online application gave the college all the information it needs and applying to college was as easy and secure as shopping online? Learning resource centre What if there was a virtual learning resource experience to give all students seamless access to inclusive and accessible resources? How will further education providers manage the data required to deliver the experience learners demand? Now Effective use of data is essential to improve quality, performance and learning The availability of national data sets provides an opportunity for improved planning to meet labour market requirements and employer demand.
How we're helping Learning analytics service and learner app We're working in partnership with learning providers and commercial suppliers to provide an effective learning analytics solution. By Colleges routinely use business intelligence and analytics to meet planning, quality, performance and labour market requirements to maximise funding Early alerts and improved intervention strategies enable more learners to stay and complete courses Learners can view progress and achievement, track their performance and set targets to meet goals leading to employment and progression.
How could we help members manage their data? Adaptive learning system Can Jisc work with relevant partners to develop a new type of learning management system that adapts to student needs based on learning analytics and other data? Personalised education What if learners had an app that could make recommendations on assignment and module choices based on the job they want? College analytics Could Jisc work with partners to deliver a suite of tools and dashboards that colleges can use to make data driven decisions? What expertise will be required to deliver this future? Now Employers are looking for evidence of relevant digital skills from learners applying for jobs Providers need digitally skilled staff and are exploring ways to support them in enhancing their digital capabilities.
How we're helping Online CPD service We are developing a service to improve the digital technology skills of practitioners. By Learners have access to personalised training in digital skills that is tailored to their career goals Mobile digital portfolios allow learners to demonstrate their practical experiences and achievements to employers Staff have access to sophisticated online training and to tools that help them to plan and monitor the continuous improvement of their digital capability.
How could we help members develop this expertise? Digital skills Could a tool be developed to embed the necessary digital skills of future employees? Employability Could a tool be created to begin the recruitment process during the time when learners can best demonstrate their skills? Skills showcase What if learners could demonstrate to employers the practical skills they acquire while training in order to progress to apprenticeships?
What will the future look like for research? Students can control how data is used by the university. Learners have full control over how and where they study and how long for Universities are valued for building communities of learners, teachers and diverse experts, whether face-to-face or online Artificial intelligence is used extensively to aid teaching and assessment and manage the physical and virtual estate Every learner manages their learning analytics profile throughout their education and into employment.
How will the university estate change to deliver this future? Virtual assistants consume and act upon real time information about all aspects of university life Staff and students use the assistants to make the most of time spent on physical and virtual campuses and to locate the right people and spaces for academic and social activities Estate managers rely upon real time information to maximise efficiency and environmental sustainability, informing timetabling and integrated planning of the physical and virtual estate.
How could help members change their estate?
The intelligent campus Can relevant information about all aspects of university life be consumed and acted on by the virtual assistants that already exist on mobile devices? By Many estate decisions are made by the campus artificial intelligence AI The estates themselves are porous: students can access quality physical facilities wherever they go and benefit from constant connection to the virtual estate Students can interact with the AI to get answers to common questions.
How will universities manage the data required to deliver the experience students demand? By Learning analytics are vital for improving student performance. Learning analytics service and student app We're working with relevant partners to develop a national learning analytics service and app that will help staff and students ensure they meet retention and attainment goals. Adaptive learning system Could we work with relevant partners to develop a new type of learning management system that adapts to student needs based on learning analytics and other data?
By Each student curates their learning analytics profile. The ubiquity of this data has significant ethical implications that are carefully monitored. By Staff have high levels of digital capability and have access to tools, resources and networks to support further development.