ESE - Artigos em Proceedings Não Indexados à WoS/Scopus
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Percorrer ESE - Artigos em Proceedings Não Indexados à WoS/Scopus por Domínios Científicos e Tecnológicos (FOS) "Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática"
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- An analysis of the free software PSPP from a researcher’s perspectivePublication . Costa, Juliana; Gonçalves, VítorStatistical software is present in the daily lives of companies/organizations and higher education institutions in contemporary times, making it necessary to train higher education students in its use. One of the biggest constraints on using statistical software in the teaching context is the high cost of proprietary software licenses, so it is necessary to look for alternatives that allow statistical analysis to be worked on in the classroom. This case study aims to present the free software PSPP as an alternative to be explored in teaching. Through the use experience of a student in the master’s program in ICT in Education and Training at the Bragança School of Education in 2024, the study presents the main features of PSPP and the student’s considerations about its use compared to SPSS. The study addresses the user’s vision, demonstrating that PSPP is a good alternative, mainly for use within the classroom context.
- Artificial intelligence in teacher training: benefits, challenges and toolsPublication . Gonçalves, Bruno F.The use of artificial intelligence has emerged as an important tool for teacher training, providing new approaches to the development of pedagogical skills, classroom management, and the personalization of teaching. This research aims to identify the most relevant AI tools for teacher training and to examine the benefits and challenges of integrating AI into teacher training, with a focus on the advantages of personalizing teaching and the difficulties associated with adopting new technologies in the educational context. The methodology used is a literature review, in which studies, scientific articles, and reports on the application of AI in teacher training are analyzed to identify the technological tools available for teaching. The results suggest that AI has enormous potential to transform teacher training, offering tools that make it possible to personalize the training process, adapting it to teachers' needs and learning styles. However, the implementation of these tools faces challenges such as the need for ongoing teacher training, resistance to adopting new technologies, and the lack of technological infrastructure in some educational institutions.