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Article
Publication date: 15 October 2008

Sylvie Rijkers‐Defrasne, Effie Amanatidou, Anette Braun and Agnes Pechmann

The purpose of this paper is to highlight the contribution of the EFMN Issue Analysis to the identification of key emerging science and technology issues of high relevance for

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Abstract

Purpose

The purpose of this paper is to highlight the contribution of the EFMN Issue Analysis to the identification of key emerging science and technology issues of high relevance for European policies, as well as to the development of future European science and technology policy priorities. As such, it describes the experience of the past three EFMN Issue Analyses (2005 to 2007), which focused on “Cognitive Science” (2005), “Healthy Ageing” (2006) and “Emerging Knowledge‐based Economy and Society” (2007).

Design/methodology/approach

The annual EFMN Issue Analysis aims at selecting and analysing one key emerging science and technology issue that is relevant for European Union policies. The selection is based on the screening and analysis of recent international foresights along a set of predefined criteria.

Findings

The paper highlights future socio‐economic perspectives and S&T developments coming along with the topics “Cognitive Science”, “Healthy Ageing” and “Emerging Knowledge‐based Economy and Society”, as well as policy recommendations as emerged from the respective expert workshop discussions. The paper also reflects on the methodology used, and experience of, and the lessons learned from the last three Issue Analyses.

Practical implications

This paper is of interest for foresight practitioners and policy‐makers at European level, as well as at national or regional level in European Member States.

Originality/value

The paper highlights the role of the EFMN Issue Analysis in providing the basis for well‐informed (science and technology) policy‐making.

Details

Foresight, vol. 10 no. 6
Type: Research Article
ISSN: 1463-6689

Keywords

Article
Publication date: 11 May 2022

Eduardo Baldo Moraes, Liane Mahlmann Kipper, Ana Clara Hackenhaar Kellermann, Leonardo Austria, Pedro Leivas, Jorge André Ribas Moraes and Marcus Witczak

The purpose of this study is to identify the uses of Industry 4.0 technologies in the area of education and how they contribute to learning in addition to highlighting at what…

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Abstract

Purpose

The purpose of this study is to identify the uses of Industry 4.0 technologies in the area of education and how they contribute to learning in addition to highlighting at what educational level they are used.

Design/methodology/approach

A systematic literature review was carried out in the Scopus (Elsevier), Web of Science and ScienceDirect (Elsevier) databases, starting in 2011. In total, 51 articles were selected for a quantitative analysis, and 23 of them were read to answer the questions of the research from a qualitative analysis.

Findings

The results show a greater use of augmented reality, simulation, Internet of Things and virtual reality. The level of education at which they are most present is higher education. They collaborate to increase immersion in content, student engagement, interpersonal interaction, reduce costs and risks, simulate real work scenarios, expand study possibilities, without limited time and space, develop soft skills and learn about technologies, their uses and modes of operation. It is concluded that the technologies of Industry 4.0 support the entire learning process, but they are not used as much as they should. They are still largely restricted to universities and courses related to manufacturing. It is hoped that this work can contribute to the development of Education 4.0 at all stages of teaching.

Originality/value

Reviews have already been carried out on the use of technologies in teaching. The originality of this work is in the fact that it focuses on Industry 4.0 technologies in the Education 4.0 scenario.

Details

Interactive Technology and Smart Education, vol. 20 no. 2
Type: Research Article
ISSN: 1741-5659

Keywords

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