Escola Superior de Tecnologia e Gestão
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Browsing Escola Superior de Tecnologia e Gestão by Sustainable Development Goals (SDG) "04:Educação de Qualidade"
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- A prototype to enhance academic attendance using BLE beaconsPublication . Simas, Sily; Oliveira, Pedro Filipe; Matos, PauloThis project addresses the prototyping and application of an attendance control solution in an academic context, using Beacons. The introduction highlights the importance of effectively managing student attendance to ensure active participation in educational activities and provide insights into student engagement. BLE Beacons technology is compared to other RF signaling technologies, highlighting its advantages in terms of range, power consumption, cost, frequency, and data rate. BLE Beacon is chosen as the preferred technology due to its combination of adequate range, low power consumption, affordable cost, compatibility, security, and flexibility. The results section presents Estimote Beacons as devices used, highlighting their advanced features and techniques used, such as proximity and triangulation, to determine student presence. A visual summary of the project is presented in a flowchart that illustrates the operating processes of each stage. This solution promises to significantly improve the efficiency, safety, and quality of the academic environment, while simplifying the attendance recording process and providing valuable insights into student behavior.
- Categorizing Students of the MathE Platform: A Fuzzy Clustering PerspectivePublication . Leite, Gabriel A.; Azevedo, Beatriz Flamia; Pacheco, Maria F.; Fernandes, Florbela P.; Pereira, Ana I.; PellegrinoActive learning and technology integration offer enhanced student engagement and adaptive learning, accommodating diverse preferences. This work uses fuzzy clustering method to analyze the data of students who answer questions on the MathE platform. To do this, the Fuzzy c-means algorithm was used, which allows flexibility and adaptability in the clustering partitioning, especially in situations where data elements may exhibit overlapping characteristics or belong to multiple categories. Thereby, two datasets are considered: the first is composed of 121 students who answered questions from the Vector Space subtopic, and the second dataset comprises the answers of 297 students who answered to any topic or subtopic of the platform. The results show that the fuzzy clustering method is appropriate for analyzing the student’s data since most students are highly associated with more than one cluster. Besides, the findings can support the formulation of intervention strategies to improve the student’s academic achievement.
- Data Engineering Roadmap for Implementing Business Intelligence in Higher EducationPublication . Sequeira, Romeu; Reis, Arsénio; Branco, Frederico; Alves, PauloThis article addresses the implementation of Business Intelligence (BI) systems in Higher Education Institutions (HEIs), focusing on developing an appropriate data architecture that meets the specificities and requirements of this sector. With the rapid advance of information technologies, HEIs face the growing challenge of managing a considerable volume of data, making it essential to implement BI systems that support informed and efficient decision-making. Using the Design Science Research methodology, this study proposes a BI architecture model that aligns technologies with HEIs' academic and administrative needs and facilitates their integration and ongoing maintenance. The model is designed to be flexible and scalable, allowing adaptations as institutional needs evolve. The article describes the architecture development process, from initial planning to implementation, and discusses how this framework can significantly improve data management and the quality of decision-making processes in educational institutions. The research offers practical and theoretical insights for academics and managers seeking to optimize the use of BI in educational contexts.
- IV International Conference on Optimization, Learning Algorithms and Applications: Book of AbstractsPublication . Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Lima, José; Oneto, Luca; Pacheco, Maria F.; Lopes, Rui PedroWelcome to OL2A 2025 - International Conference on Optimization, Learning Algorithms and Applications. OL2A offers a forum for the research community on optimization and learning to get together and share the latest developments and techniques, as well as to develop new paths and collaborations. OL2A provides a broad scope of presentations, covering many areas of optimization and learning and state-of the- art applications to multi-objective optimization, optimization for machine learning, machine learning for optimization, optimization and learning under uncertainty and the fourth industrial revolution. It is with great pleasure that the Organizing Committee welcomes you all to OL2A 2025!
- Optimization, Learning Algorithms and Applications (OL2A 2024) Part IPublication . Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Lima, José; Pacheco, Maria F.; Lopes, Rui Pedro; Álvarez, Santiago T.This volume, CCIS 2280, contains the refereed proceedings of the 4th International Conference on Optimization, Learning Algorithms and Applications (OL2A 2024), a hybrid event held on July 24–26. OL2A provided a space for the research community on optimization and learning to get together and share the latest developments, trends and techniques as well as develop new paths and collaborations. OL2A had the participation of more than three hundred participants in an online and face-to-face environment throughout three days, discussing topics associated with areas such as optimization and learning and state-ofthe- art applications related to multi-objective optimization, optimization for machine learning, robotics, health informatics, data analysis, optimization and learning under uncertainty, and the 4th industrial revolution. Three special sessions were organized on the topics Learning Algorithms in Engineering Education, Optimization in the SDG context, and Optimization in Control Systems Design. The event accepted 41 papers. All papers were carefully reviewed and selected from 105 submissions. All the reviews were carefully carried out by a scientific committee of 115 researchers from twenty-six countries.
- Optimization, Learning Algorithms and Applications (OL2A 2024) Part IIPublication . Pereira, Ana I.; Coelho, João Paulo; Teixeira, João Paulo; Lima, José; Pacheco, Maria F.; Lopes, Rui Pedro; Álvarez, Santiago T.; Fernandes, Florbela P.This volume, CCIS 2280, contains the refereed proceedings of the 4th International Conference on Optimization, Learning Algorithms and Applications (OL2A 2024), a hybrid event held on July 24–26. OL2A provided a space for the research community on optimization and learning to get together and share the latest developments, trends and techniques as well as develop new paths and collaborations. OL2A had the participation of more than three hundred participants in an online and face-to-face environment throughout three days, discussing topics associated with areas such as optimization and learning and state-of-the- art applications related to multi-objective optimization, optimization for machine learning, robotics, health informatics, data analysis, optimization and learning under uncertainty, and the 4th industrial revolution. Three special sessions were organized on the topics Learning Algorithms in Engineering Education, Optimization in the SDG context, and Optimization in Control Systems Design. The event accepted 41 papers. All papers were carefully reviewed and selected from 105 submissions. All the reviews were carefully carried out by a scientific committee of 115 researchers from twenty-six countries.
- The Sustainability Consciousness Questionnaire: Validation Among Portuguese PopulationPublication . Arantes, Luzia; Sousa, BrunoThe primary objective of this study is to validate the Sustainability Consciousness Questionnaire (SCQ) for the Portuguese population, ensuring its reliability and applicability across the dimensions of knowledge, attitudes, and behaviours related to sustainability. This validation is crucial for ensuring the SCQ captures local cultural nuances and provides reliable data to inform educational and policy strategies for promoting sustainability. To achieve this goal, a quantitative methodology was adopted, involving the translation and cultural adaptation of the SCQ into Portuguese. Data were collected from a convenience sample of 630 participants, aged 17 to 83, using an online platform. Ethical procedures were rigorously followed, including obtaining informed consent from all participants and ensuring data confidentiality. The factor structure of the SCQ was analysed using structural equation modelling (SEM). The analysis confirmed a three-dimensional factor structure aligned with the environmental, social, and economic pillars of sustainability, as well as significant correlations between these dimensions and real-world sustainable practices such as recycling and energy conservation. The results confirmed the construct validity of the SCQ, demonstrating robust reliability indicators across its scales and acceptable model fit indices (CFI = 0.860; TLI = 0.851; RMSEA = 0.045). These findings highlight the questionnaire’s utility as a measurement tool for sustainable consciousness in the Portuguese context. The SCQ provides a valuable resource for educators, policymakers, and researchers. For instance, educators can use the SCQ to identify gaps in students’ sustainability knowledge, policymakers can prioritise areas for intervention based on public attitudes, and researchers can explore relationships between awareness and sustainable behaviours to design effective programs. Furthermore, this study contributes to Sustainable Development Goal 4 (Quality Education) by enabling data-driven strategies to integrate sustainability education into curricula, fostering a deeper understanding of sustainable practices and behaviours essential for achieving global education goals.