Sobral, Sónia Rolland

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Sobral

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Sónia Rolland

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Sónia Rolland Sobral

Biografia

Licenciada em Informática de Gestão, mestre em Engenharia Eletrotécnica e de Computadores, doutora em Tecnologias e Sistemas de Informação e possui o título de agregado em Ciências da Informação. Desde 1993 é docente da Universidade Portucalense (UPT), sendo atualmente professora associada com agregação. Lecionou em diversos cursos como Engenharia Informática e Engenharia e Gestão Industrial, em diversas instituições como Lodz University of Technology e a Universidade de Aveiro, e em diversos países como Angola e Cabo Verde. Participou em diferentes órgãos, tendo sido presidente do Conselho Pedagógico da UPT. Pertence à comissão de várias conferências internacionais e revistas científicas. É autora de uma centena de publicações, a sua maioria indexadas na SCOPUS e/ou WoS. É membro integrado no REMIT – Research on Economics, Management and Information Technologies, sendo atualmente coordenadora de um dos dois grupos de investigação (Transformação Digital e Inovação nas Organizações). Afiliação: REMIT – Research on Economics, Management and Information Technologies. DCT - Departamento de Ciência e Tecnologia.

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REMIT – Research on Economics, Management and Information Technologies
Centro de investigação que que tem como objetivo principal produzir e disseminar conhecimento teórico e aplicado que possibilite uma maior compreensão das dinâmicas e tendências económicas, empresariais, territoriais e tecnológicas do mundo contemporâneo e dos seus efeitos socioeconómicos. O REMIT adota uma perspetiva multidisciplinar que integra vários domínios científicos: Economia e Gestão; Ciências e Tecnologia; Turismo, Património e Cultura. Founded in 2017, REMIT – Research on Economics, Management and Information Technologies is a research unit of Portucalense University. Based on a multidisciplinary and interdisciplinary perspective it aims at responding to social challenges through a holistic approach involving a wide range of scientific fields such as Economics, Management, Science, Technology, Tourism, Heritage and Culture. Grounded on the production of advanced scientific knowledge, REMIT has a special focus on its application to the resolution of real issues and challenges, having as strategic orientations: - the understanding of local, national and international environment; - the development of activities oriented to professional practice, namely in the business world.

Resultados da pesquisa

A mostrar 1 - 3 de 3
  • PublicaçãoAcesso Restrito
    An assessment of the Informatics Engineering Degree's first three years of existence
    2024-06-25 - Santos-Pereira, Carla; Durão, Natércia; Sobral, Sónia Rolland; Moreira, Fernando
    Evaluating the progress of an Informatics Engineering degree is crucial for assessing its effectiveness, identifying areas that require improvement, and ensuring continuous program enhancement. Through systematic evaluation, it becomes possible to measure students' advancement, evaluate the quality of teaching methodologies, and align the curriculum with the evolving demands of the field. This paper presents the results from a performance evaluation of three core curricular units (1 st year, 1 st semester). The results obtained are aligned with the bibliography.
  • PublicaçãoAcesso Aberto
    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.
  • PublicaçãoAcesso Aberto
    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.