1,720,991 research outputs found

    Education for Fashion-Tech. Design and technology for future fashion creatives

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    The present volume is a comprehensive reflection on the research conducted within the framework of the Erasmus+ Strategic Partnership Project “Education for Fashion-Tech (E4FT)” and offers trainers, practitioners, students, Higher Education Institutions (HEIs), stakeholders, opinion leaders and policymakers research data and reference points for developing an integrated Fashion-Tech approach into curricula, didactic and learning approaches, product development processes, and programmes for social and economic growth. The volume highlights the benefits of the adoption of such an integrated approach into higher education and the labour market, thanks to the development of better-qualified professionals. Additionally, it envisions an enriched cross-disciplinary European higher education system and a more competitive transnational labour market, where fashion and technology ware fused boosting knowledge and economic growth. Based on the data and results produced along with the E4FT project, the present volume defines the framework for the adoption of an integrated Fashion-Tech approach, identifying desirable steps of change and how these can support HEI practices

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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