Dropout in vocational education and training

Expanding the implementation of guidance strategies in vocational education and training (VET), as well as improving its visibility and attractiveness, is essential to establish VET as a viable pathway for students and to avoid dropout, which remains a major problem in education. This study presents...

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Detalhes bibliográficos
Autores: Galdames Calderón, Marisol|||0000-0003-3864-1180, Harberts, Vivian, Cadima, Rita|||0000-0001-6156-0691, Milhano, Sandrina|||0000-0001-6747-9472
Tipo de documento: capítulo de livro
Data de publicação:2026
País:España
Recursos:Universitat Autònoma de Barcelona
Repositório:Dipòsit Digital de Documents de la UAB
Idioma:inglês
OAI Identifier:oai:ddd.uab.cat:326150
Acesso em linha:https://ddd.uab.cat/record/326150
https://dx.doi.org/urn:doi:10.1007/978-3-032-03284-3_6
Access Level:Acesso embargado
Palavra-chave:Dropout Risk factors
Vocational Education and Training
Vocational guidance
Dropout
Descrição
Resumo:Expanding the implementation of guidance strategies in vocational education and training (VET), as well as improving its visibility and attractiveness, is essential to establish VET as a viable pathway for students and to avoid dropout, which remains a major problem in education. This study presents a qualitative and comprehensive methodology using thematic content analysis within the Orienta4VET project in Germany, Portugal and Spain, exploring the perspectives of school principals and teachers working as guidance counsellors in vocational education and training (VET) centres. Semi-structured interviews and group discussions were conducted to gather contextual information using an open-ended question guide focusing on key dimensions. A Microsoft Word matrix was used for data collection to facilitate collaboration between partners. Thematic analysis using MAXQDA revealed complex coding patterns. The findings led to the development of an interactive guide addressing risk factors and highlighting innovative dropout prevention strategies drawn from best practice and previous projects.