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Research and Innovation at the service of digital pedagogy

Sector: Education • Location: France

Source: Keep.EU

Project
Closed

There are several obstacles to cross-border mobility and labour market integration for job-seekers and employed workers in the area targeted by the project. Indeed, the language barrier, the specificities linked to certain skilled jobs and the lack of knowledge of job opportunities impact mobility between the different sides of the cooperation area. Online training is, therefore, one of the keys t

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The project “Research and Innovation at the service of digital pedagogy” is an infrastructure initiative in the Education sector, located in France. Taiyo aggregates data on it from Keep.EU.

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Participants

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Closed

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Description

Description

There are several obstacles to cross-border mobility and labour market integration for job-seekers and employed workers in the area targeted by the project. Indeed, the language barrier, the specificities linked to certain skilled jobs and the lack of knowledge of job opportunities impact mobility between the different sides of the cooperation area. Online training is, therefore, one of the keys to improving this cross-border mobility and facilitating the integration of labour markets. However, it is clear that many digital training projects are not known to the general public, and are sometimes even rejected by their users. Indeed, the educational contents are not yet sufficiently efficient. For example, in the MOOCs, only 10% of students, on average, complete their courses. The Dig-e-Lab project aims to create a process of excellence around online training initiatives using video media for the cross-border context. This project will not only analyse the existing initiatives and improve some of them from a technological/educational perspective to initiate an emulation process, but will also centralise and structure, on its online platform, the different existing training or refresher schemes with the aim of working in a cross-border context.

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Source reliability

Medium

Data quality score

100%

Source

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URL

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