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Repositório de Publicações Científicas
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DA UNIVERSIDADE PORTUCALENSE
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Enhancing Higher Education in Portugal: Leveraging generative Artificial Intelligence for learning-teaching process
2024-10-23 - Santos-Pereira, Carla; Ferreira, Maria João; Sobral, Sónia Rolland; Durão, Natércia; Moreira, Fernando
Recent advancements in Generative Artificial Intelligence (GAI) have revolutionized numerous fields, including higher education. This study focuses on the integration of GAI in Portuguese higher education institutions and explores its multifaceted implications and potential. Our research, conducted through a comprehensive survey between April and June 2023, engages with higher education faculty to understand their perceptions and utilization of GAI tools in teaching and learning processes. The potential of GAI to enhance personalized learning and interactive teaching methodologies is significant. It enables the creation of customized educational content, interactive simulations, and real-time feedback mechanisms, thus reducing the educators' workload and enhancing the learning experience. However, this integration is not without challenges. The study identifies critical ethical concerns around the use of GAI, including data privacy, intellectual property, and the potential for bias in AI-generated content. Additionally, our findings indicate varying acceptance and readiness among educators to adopt these technologies. While some express enthusiasm for the potential of GAI to transform educational practices, others remain cautious, highlighting the need for comprehensive training and support to leverage GAI capabilities fully. This paper captures the essence of the study's findings, illustrating both the promising opportunities and the complex challenges associated with using Generative AI in higher education. Higher education institutions can significantly enhance teaching and learning landscapes by addressing these challenges and fostering an informed and ethical approach to GAI integration.
Exploring the impact of Artificial Intelligence generative tools on research in Higher Education Institutions: A perspective from Portugal
2024-10-23 - Sobral, Sónia Rolland; Ferreira, Maria João; Santos-Pereira, Carla; Durão, Natércia; Moreira, Fernando
Artificial Intelligence (AI) generative tools have emerged as transformative instruments in various domains, including research and academia. It is important to see what is positive and what is not. This study focuses on the integration of GAI in Portuguese higher education institutions and explores its multifaceted implications and potential. Our research was conducted through a comprehensive survey between April and June 2023, garnering 77 responses. To this purpose, the analysis will have several insights into the research process, namely, to assess the frequency of use and objectives of using generative AI for higher education research and to explore possible trends and future directions in the adoption and application of generative AI in this field.
Introdução à Programação usando Python: Exercícios resolvidos
2024-09-06 - Sobral, Sónia Rolland
Introdução à Programação usando Python – Exercícios Resolvidos, é um complemento ao livro teórico, contendo, resolvidos, todos os seus exercícios propostos. Poderá, contudo, ser utilizado autonomamente por todos os leitores que pretendam exercitar-se na linguagem de programação Python proporcionando-lhes a oportunidade de aplicar os conceitos de maneira prática e objetiva.
A prática é uma parte fundamental do processo de aprendizagem em programação. Resolver desafios, cometer erros e encontrar soluções são etapas cruciais para desenvolver as suas competências. Com este pressuposto em mente, os exercícios deste livro foram projetados para reforçar e consolidar o corpo teórico a quem dá os primeiros passos em Python, cobrindo um vasto conjunto de dificuldades e contextos práticos. O pensamento computacional e a escrita de programas numa linguagem de programação são desenvolvidos com muito trabalho individual, sendo essencial que se façam muitos exercícios. Esta tarefa nem sempre é fácil, mas necessita de ser desenvolvida e exercitada, por isso, este livro, concebido para quem parte do zero, será um excelente auxiliar na resolução de exercícios e, sobretudo, para que consiga verificar se está a seguir pelo caminho correto no percurso que o levará a tornar-se num programador eficaz e eficiente em Python.