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Esta dissertação de mestrado explora o impacto e o potencial da Inteligência Artificial (IA), em particular dos Large Language Models, e da Tradução Automática no contexto da aquisição e aprendizagem de línguas e da integração social. A investigação procura capacitar populações migrantes, num sentido amplo, através da análise de dois contextos distintos: estudantes em mobilidade no Japão e estudantes Erasmus em Portugal.
O primeiro estudo de caso centra-se nos estudantes de intercâmbio e a sua integração na sociedade japonesa, um ambiente cultural e linguisticamente distante. Os dados recolhidos junto desta população incluem perspetivas empíricas, uma vez que a investigação teve origem na minha própria experiência de mobilidade, com a duração de um ano, no Japão, onde o meu uso das ferramentas analisadas revelou-se essencial para ultrapassar barreiras linguísticas e promover a minha integração.
Após o regresso a Portugal, tive a oportunidade de observar e participar em aulas de Português Língua Estrangeira onde os conhecimentos adquiridos no primeiro estudo foram aplicados e dirigidos a estudantes Erasmus e migrantes num contexto culturalmente mais próximo. Nestas aulas, as ferramentas de IA e Tradução Automática foram integradas nas atividades pedagógicas, com o objetivo de investigar o seu potencial educativo, bem como as suas implicações éticas. Para complementar esta aplicação prática, foi realizado um workshop com estudantes Erasmus, de forma a recolher mais dados sobre as perceções destas ferramentas e o seu papel no apoio à integração e na promoção da literacia digital responsável.
Esta dissertação propõe, por fim, o desenho de um programa de Português Língua Estrangeira que integre a IA e a Tradução Automática como ferramentas pedagógicas e de inclusão. O curso visa combinar a aprendizagem linguística com o desenvolvimento de literacia digital, oferecendo à população migrante competências que lhes permitam comunicar, adaptar-se e participar de forma mais ativa na sociedade de acolhimento.
This Master’s dissertation explores the impact and potential of Artificial Intelligence (AI), particularly Large Language Models, and Machine Translation (MT) in the context of language acquisition, language learning, and social integration. The research aims to empower migrant populations, broadly defined, by examining two distinct settings: exchange students living in Japan and Erasmus students residing in Portugal. The first case study focuses on exchange students navigating Japanese society, a culturally and linguistically distant environment. The data gathered from this group includes both empirical and reflective perspectives, as the research originated from my own one-year mobility experience in Japan. During this period, my reliance on AI and MT-based tools proved essential for overcoming linguistic barriers and fostering integration. Upon my return to my home country, I had the opportunity to observe and engage in language classes. The insights acquired from the initial study were applied to Portuguese as a Foreign Language courses designed for Erasmus students and migrants in a culturally comparable context. Within these classes, Artificial Intelligence and Machine Translation tools were integrated into the instructional activities to investigate their educational potential as well as their ethical implications. To complement this practical application, a workshop was conducted with Erasmus students, gathering further data on perceptions of these tools and their role in supporting integration and responsible digital literacy. This dissertation ultimately proposes the design of a Portuguese as a Foreign Language programme that integrates AI and MT as pedagogical and inclusion tools. The course aims to combine language learning with digital literacy, offering migrants the skills to communicate, adapt, and participate more actively in their host society.
This Master’s dissertation explores the impact and potential of Artificial Intelligence (AI), particularly Large Language Models, and Machine Translation (MT) in the context of language acquisition, language learning, and social integration. The research aims to empower migrant populations, broadly defined, by examining two distinct settings: exchange students living in Japan and Erasmus students residing in Portugal. The first case study focuses on exchange students navigating Japanese society, a culturally and linguistically distant environment. The data gathered from this group includes both empirical and reflective perspectives, as the research originated from my own one-year mobility experience in Japan. During this period, my reliance on AI and MT-based tools proved essential for overcoming linguistic barriers and fostering integration. Upon my return to my home country, I had the opportunity to observe and engage in language classes. The insights acquired from the initial study were applied to Portuguese as a Foreign Language courses designed for Erasmus students and migrants in a culturally comparable context. Within these classes, Artificial Intelligence and Machine Translation tools were integrated into the instructional activities to investigate their educational potential as well as their ethical implications. To complement this practical application, a workshop was conducted with Erasmus students, gathering further data on perceptions of these tools and their role in supporting integration and responsible digital literacy. This dissertation ultimately proposes the design of a Portuguese as a Foreign Language programme that integrates AI and MT as pedagogical and inclusion tools. The course aims to combine language learning with digital literacy, offering migrants the skills to communicate, adapt, and participate more actively in their host society.
Descrição
Palavras-chave
Artificial intelligence Machine translation Language learning Language acquisition Social integration Large language models Migration Translators Foreign language learning Migração Inteligência artificial Tradução automática Aprendizagem de línguas Aquisição lingística Large language models Tradutores Ensino de língua estrangeira