Browsing by Issue Date, starting with "2024-12-17"
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- Continuing Teacher Education: Informal Collaborative Teacher Network as a Response to the Emergency Context Created by COVID-19Publication . Mota, Miguel Ângelo Sousa Dias Ferreira da; Cabo, Isabel; Valéria, Cátia; Guedes, Damiana; Lopes, PedroThe COVID-19 pandemic posed unprecedented challenges to the education sector, necessitating a rapid transition to emergency distance learning and highlighting the need to train teachers to maintain educational continuity under lockdown restrictions. In response, initiatives such as “Online Pedagogical Sharing” emerged, comprising short-term training activities aimed at educators and teachers at all levels of education in Portugal. This case study, conducted within a qualitative paradigm, explores how training organised by this informal collaborative network contributed to the continuous professional development and adaptation of teaching practices during the pandemic. It utilised digital technologies to meet the demands of distance learning and improve the pedagogical use of new technologies. The sessions, which took place between June and July 2020, were widely accessible, facilitating a meaningful collaborative approach in the teaching environment. By analysing data collected during these sessions, the study highlights the network’s effectiveness in facilitating collaborative learning and the impact of educational technologies during a time of significant pedagogical change. This work not only documents the immediate response to the crisis but also suggests avenues for future use of similar practices in post-pandemic contexts, emphasising the need for further analysis of the resilience and effectiveness of these adapted pedagogical strategies.
- Business intelligence and sustainable development goals: data-driven strategiesPublication . Mota, Miguel Ângelo Sousa Dias Ferreira da; Sequeira, Romeu; Pinto, Agostinho Sousa; Costa, Eusébio; Costa, RuiThis exploratory study, based on a preliminary literature review, examined the role of Business Intelligence (BI) in advancing the Sustainable Development Goals (SDGs). A qualitative approach was adopted, involving a detailed analysis of existing publications to identify how BI can transform large amounts of data into strategic information, influence critical decisions across different sectors, and contribute to the achievement of the SDGs. The integration of BI into SDG strategies and implementation was assessed as an important step forward in addressing global challenges and providing more effective solutions to complex problems. The study suggests that BI can be a driver of sustainable development, improving decision-making based on concrete data to support the SDGs. However, due to the exploratory and preliminary nature of the literature review conducted, the conclusions presented should be considered indicative and subject to confirmation through further research. The work highlights that the effective application of BI, using data to generate strategic intelligence, can lead to significant progress towards a more sustainable and innovative future. It emphasises the importance of overcoming technical constraints and developing analytical skills to maximise the potential of BI to drive sustainable and innovative development on a global scale.