Abstract
Additive manufacturing (AM), broadly known as 3D printing, is transforming how products are designed, produced, and serviced in public health. Recent advances on 3D printing in healthcare have led to lighter, stronger and safer products, reduced lead times and lower costs. However, literature refers that knowledge remains one of the greatest barriers to AM's wider adoption. So, how we leverage the potential of AM to drive innovation is a mandatory topic in science/technology curriculum. Our goal was to develop and implement an educational scenario regarding 3D printing that uses project-based learning to address these topics, strengthening the capacity of students in low secondary level and their schools to promote STEM learning with a focus on public health issues. The scenario supports 9th grade science and ICT teachers in exploring 3D printings and environments using updated scientific/technical evidence. Overall, three schools took part in the study and 202 students participated in the educational scenario. The learning experience supports youths in understanding and reaching high-level comprehension on how STEM may contribute to address these issues, contributing to evidence-based personal decision-making, and public policy. We believe it is relevant to understand if students and schools, when challenged, take a role in their community preparedness for major health problems. By implementing an educational scenario with a focus on 3D printing, and thus potentiate the use of this technology, we intend to help raise awareness on the public health theme.

Abstract

Abstract
The study of user logs plays a crucial role in understanding user behavior and preferences in various online environments. By analyzing user logs, researchers can gain valuable insights into how users interact with a system and make informed decisions on system improvements. They can also assess the effectiveness of different features and functionalities. In the field of game design, the exploration of user logs becomes even more important as it provides valuable information on player motivations, preferences, and gameplay patterns. This research explores the impact of Bartle Taxonomy on user behavior analysis through a Game with a Purpose (GWAP) named BartleZ. By analyzing user logs and decisions within the game, BartleZ aims to determine the dominant player type according to the Bartle Taxonomy classification. This research also investigates how different player types engage with the game and the implications for user experience design.

Abstract
The current surge in the deployment of web applications underscores the need to consider users' individual preferences in order to enhance their experience. In response to this, an innovative approach is emerging that focuses on the detailed analysis of interaction data captured by web browsers. This data, which includes metrics such as the number of mouse clicks, keystrokes, and navigation patterns, offers insights into user behaviour and preferences. By leveraging this information, developers can achieve a higher degree of personalization in web applications, particularly in the context of interactive elements such as online games. This paper presents the WebTraceSense project, which aims to pioneer this approach by developing a framework that encompasses a backend and frontend, advanced visualization modules, a DevOps cycle, and the integration of AI and statistical methods. The backend of this framework will be responsible for securely collecting, storing, and processing vast amounts of interaction data from various websites. The frontend will provide a user-friendly interface that allows developers to easily access and utilize the platform’s capabilities. One of the key components of this framework is the visualization modules, which will enable developers to monitor, analyse, and interpret user interactions in real-time, facilitating more informed decisions about user interface design and functionality. Furthermore, the WebTraceSense framework incorporates a DevOps cycle to ensure continuous integration and delivery, thereby promoting agile development practices and enhancing the overall efficiency of the development process. Moreover, the integration of AI methods and statistical techniques will be a cornerstone of this framework. By applying machine learning algorithms and statistical analysis, the platform will not only personalize user experiences based on historical interaction data but also infer new user behaviours and predict future preferences. In order to validate the proposed components, a case study was conducted which demonstrated the usefulness of the WebTraceSense framework in the creation of visualizations based on an existing dataset.

Abstract
Data management solutions became highly expensive and ineffective mainly due to the lack of transparent processes and procedures to measure and provide clear guidance on the steps needed to implement them. The organizations and specialists agree that the only manner solve the data management issues requires the implementation of data governance. Many of those attempts had failed previously because they were based only on IT, with rigid processes and activities frequently split by systems or the areas supported by systems and their data. It shows that Data governance has been acquiring significant relevance. However, a consensus or even a holist approach was not achieved so far. This paper that is part of an ongoing thesis research that aims to identify the main gaps and opportunities by summarizing and study the literature consistently and as result at the end of the research it will propose a standard framework for data governance measuring its impact on the Data Governance maturity level before and after its implementation and thus as contribute to the community by trying to mitigate the problems found.

Abstract
This systematic literature review investigates the factors influencing cloud computing adoption within both educational and organizational settings. By synthesizing a comprehensive body of research, this study finds and analyzes the determinants that shape the decision-making process about cloud technology adoption. Security, cost-effectiveness, scalability, interoperability, and regulatory compliance are examined across educational institutions and organizational contexts. Additionally, socio-economic, political, and technological factors specific to each context are explored to provide a nuanced understanding of the challenges and opportunities associated with cloud computing adoption. The review reveals commonalities and differences in adoption drivers and barriers between education and organizational environments, offering insights into tailored strategies for effective implementation. This research contributes to the existing literature by shedding light on the multifaceted nature of cloud adoption and offering valuable guidance for educators, organizational leaders, policymakers, and technology providers looking to use cloud computing to enhance operations and services.