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Innovative Learning Scheme to Up-skilling and Re-skilling – Designing a Collaborative Training Program Between Industry and Academia Towards Digital Transformation

Ana Correia Simões; Filipe Ferreira; António Almeida; Ricardo Zimmermann; Hélio Castro; Américo Azevedo;

Innovative Learning Scheme to Up-skilling and Re-skilling – Designing a Collaborative Training Program Between Industry and Academia Towards Digital Transformation

Abstract

International audience; Small and medium-sized enterprises (SMEs) in Europe are conscious that their competitive position depends on their success to embrace digitalization challenges. However, some decision-makers in companies discard digital transformation because they do not understand how it can be incorporated into their businesses. Therefore, academia, research centres, and technological clusters are responsible for building the infrastructures and providing the support and the training that will progressively change this mindset. This paper aims to report an experience on designing a training program to train the trainers under the digital transformation topic. To define strategies to understand better the companies (and professionals) needs and motivations and the requisites to deliver the training course, the focus group methodology was applied. In this paper, we present a training program methodology and structure that intend to respond to industrial requests and, in this way to accelerate the digital transformation of companies, especially SMEs.

Country
France
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Subjects by Vocabulary

Microsoft Academic Graph classification: Business Digital transformation Training (civil) Structure (mathematical logic) Mindset Position (finance) Scheme (programming language) computer.programming_language computer Engineering management E-learning (theory) Focus group

Keywords

e-learning, up-skilling, re-skilling, digital transformation, education 4.0, manufacturing, [SPI]Engineering Sciences [physics]

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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