Identifying educational needs by rationalising TVET industry clusters in Brazil

Technical Vocational Educational and Training (TVET) institutions need to reinvent themselves to keep up with market trends, which is why they should assume a more proactive strategy instead of a reactive one towards their Catalogue of Courses. Assuming that TVET institutions are also revenue-maximising institutions, they must provide all of the information that employers and workers need in their materials in a common language and should avoid multiple marketing actions. Therefore, the aim of this research is to present an empirical study to group industrial segments with similar occupational structures and R&D investments to help TVET institutions identify their training needs and tailor their descriptive materials of their marketing and sales teams. Data mining and cluster analysis were used to identify how regular courses at the Brazilian National Service for Industrial Training (SENAI) could be offered within industrial segments in 2011.

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