Project description
Predictive e-learning solution for deskless workers
We are on the cusp of the most significant workplace transformation in human history. Artificial intelligence and automation will have a profound impact on millions of jobs, resulting in an urgent need for upskilling and reskilling. Current solutions do not cater for deskless workers, who need theoretical and practical training. The EU-funded Vignita project offers a process for blended, adaptive and predictive learning. It connects professionals with experts who provide user-friendly, practical and theoretical training, accessible even for individuals with low computer literacy. The application collects extensive internal and external data, which serves as the foundation for a predictive and adaptive machine learning algorithm. Vignita’s solution empowers employers and employees to enhance their skill sets.
Objective
Team Vignita believes in empowering the human potential through groundbreaking education technology.
We're experiencing the biggest workplace change in history. Within the next ten years AI and automation will impact hundreds of millions of jobs. So, there will be a massive demand for upskilling and reskilling.
Therefore, we have invented a B2B learning network that allows for collaboration and seamless sharing of skills amongst colleagues, clients and partners. Having every training tool at your fingertips Vignita aims to power blended, adaptive and predictive learning through one data driven, intelligent and unified process so professionals can learn more. Faster.
Existing solutions are either distributed stand-alone learning management systems or platforms targeting highly-educated white collar professionals with elearning, which in reality means self-study. But, they do not serve the needs of deskless workers, because they require a combination of both theoretical and practical training.
We solve this by connecting professionals with experts that deliver both theoretical and practical training via a user friendly interface designed for users of low computer literacy.
Our application gathers a vast amount of internal and external data which will be the foundation for our machine learning algorithm for predictive and adaptive learning. This will allow both employers and employees to upskill and reskill in parallel with the green and technological transitions.
- Predictive learning means that Vignita will understand and predict what you and your team should learn today in order to stay competitive in the future.
- People are different. Adaptive learning is when Vignita learns when you get your best results, determine your unique learning profile and tailor the best training for you.
Fields of science (EuroSciVoc)
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- humanities history and archaeology history
- social sciences sociology industrial relations automation
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.3.2 - European innovation ecosystems
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-CSA - HORIZON Coordination and Support Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIE-2022-SCALEUP-02
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
2166 Oppaker
Norway
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.