University of Wolverhampton
University of Wolverhampton
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137 Projects, page 1 of 28
assignment_turned_in Project2017 - 2018Partners:University of Wolverhampton, UNIVERSITY OF WOLVERHAMPTONUniversity of Wolverhampton,UNIVERSITY OF WOLVERHAMPTONFunder: UK Research and Innovation Project Code: 509938Funder Contribution: 110,385 GBPTo develop an automatic navigation system used initially to control individual cleaning robots, and then further developed to control flocks of multi-surface cleaning equipment working collaboratively to clean specific areas.
more_vert assignment_turned_in ProjectPartners:MUG, University of Wolverhampton, UNIVERSITE RENNES II, EASPDMUG,University of Wolverhampton,UNIVERSITE RENNES II,EASPDFunder: European Commission Project Code: 2020-1-UK01-KA226-HE-094428Funder Contribution: 181,575 EUR"The focus of this project is students who require some level of support or consideration to be fully included in HE. While HE organisations have a stated mission to be inclusive and accessible places, anecdotal evidence from both students and teachers suggests that this is not always the case. Furthermore, awareness of accessibility and support strategies can tend to be in ""silos"" of knowledge such as equality and diversity units, student support centres, student enabling centres, faculty representatives for diversity and inclusion. HE lecturers , already under pressure to transfer their teaching materials and methodologies from classroom-based to online within a short timescale, have often had to focus on online teaching which suits the majority of their students. They may not consider or take into account additional accessibility options unless they are formally asked to do so by an organisational policy or a student's specific request for accommodation. It is accepted that when students have to request accommodations in advance, they are already being penalised or excluded to an extent, since students who do not require those same accommodations can simply turn up to any lecture without notice and be able to participate fully. To build a really inclusive higher education system, therefore, lecturers would need to incorporate as many accessibility features as possible, *without* waiting for student requests. InclUDE therefore has three objectives:•Provide an easy way to search and access free and open tools for online accessibility. •Create a practical, step-by-step resource that guides lecturers through setting up online teaching sessions that are accessible to a wide range of students. •Create guidelines of considerations that can help lecturers to make their teaching scheduling and practice more inclusive. These objectives will be reached through the production of 3 intellectual outputs: •IO1: Web repository of existing digital access tools (e.g. online transcription tools, website visibility checks for users with sight loss…);•IO2: Guidelines for accessible online teaching – how to make teaching via e.g. Zoom or Teams accessible to specific groups, for example:D/deaf students; students with sight loss; autistic students; students with mental health issues; economically disadvantaged students with limited access to technology/wifi (including Roma);•IO3: Guidelines for inclusive online teaching – looking at considerations for teaching practice that don't fall under the category of legally mandated accommodations, but can facilitate attendance and participation for students with a range of challenges. The outputs respond directly to this call in that they focus on activities to support learners, teachers and trainers in adapting to online/ distance learning, while facilitating quality and inclusive education. The direct target groups addressed by this project are:•HE lecturers - the main beneficiaries of the objectives and outputs mentioned above; •students - who will benefit from lecturers using best practice in online teaching. Indirect target groups include:•HE managers and administrators;•teachers from other fields (e.g. schools, adult education, VET);•learners from other fields;•local councils and ministries of education; •other policyholders in the field of education; •disability support and service organisations.The project will be managed using the Waterfall methodology, which works well with strategic partnerships that have the budget and outputs agreed from the very beginning. This project addresses the need to gather the best practice discovered under stress during the spring 2020 lockdown, as well as through ongoing online teaching. It further addresses the need for lecturers to have quick, practical and clear resources that they can use at their convenience, and without taking a lot of time away from everything else they are involved in. It aims to ensure that students in a range of circumstances do not get left behind as online and blended learning becomes more prevalent."
more_vert Open Access Mandate for Publications assignment_turned_in Project2015 - 2018Partners:TREDIT, AIT, UNINOVA, Birmingham City Council, IP +15 partnersTREDIT,AIT,UNINOVA,Birmingham City Council,IP,TISPT,ICCS,University of Wolverhampton,LUIS SIMOES,EP,KTC,INTRASOFT International (Belgium),INTRASOFT International,JSI,NISSATECH,REC,ADRIA MOBI,FLUIDTIME DATA SERVICES GMBH,University of the Aegean,LPPFunder: European Commission Project Code: 636160Overall Budget: 5,966,190 EURFunder Contribution: 5,966,190 EURTransportation sector undergoes a considerable transformation as it enters a new landscape where connectivity is seamless and mobility options and related business models are constantly increasing. Modern transportation systems and services have to mitigate problems emerging from complex mobility environments and intensive use of transport networks including excessive CO2 emissions, high congestion levels and reduced quality of life. Due to the saturation of most urban networks, innovative solutions to the above problems need to be underpinned by collecting, processing and broadcasting an abundance of data from various sensors, systems and service providers. Furthermore, such novel transport systems have to foresee situations in near real time and provide the means for proactive decisions, which in turn will deter problems before they even emerge. Our vision is to provide the required interoperability, adaptability and dynamicity in modern transport systems for a proactive and problem-free transportation system. OPTIMUM will establish a largely scalable, distributed architecture for the management and processing of multisource big-data, enabling continuous monitoring of transportation systems needs and proposing proactive decisions and actions in an (semi-) automatic way. OPTIMUM follows a cognitive approach based on the Observe, Orient, Decide, Act loop of the big data supply chain for continuous situational awareness. OPTIMUM's goals will be achieved by incorporating and advancing state of the art in transport and traffic modeling, travel behavior analysis, sentiment analysis, big data processing, predictive analysis and real-time event-based processing, persuasive technologies and proactive recommenders. The proposed solution will be deployed in real-life pilots in order to realise challenging use cases in the domains of proactive improvement of transport systems quality and efficiency, proactive charging for freight transport and Car2X communication integration.
more_vert assignment_turned_in Project2010 - 2013Partners:University of Wolverhampton, UNIVERSITY OF WOLVERHAMPTONUniversity of Wolverhampton,UNIVERSITY OF WOLVERHAMPTONFunder: UK Research and Innovation Project Code: 507340Funder Contribution: 108,900 GBPTo use sociology, psychology, healthcare and legal principles to develop a multi-dimensional outcome measurement model that is capable of bridging a sector-wide knowledge gap.
more_vert assignment_turned_in ProjectPartners:University of WolverhamptonUniversity of WolverhamptonFunder: European Commission Project Code: 330028more_vert
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