http://repositorio.ufc.br/handle/riufc/21998 Mon, 14 Sep 2026 10:24:39 GMT 2026-09-14T10:24:39Z http://repositorio.ufc.br/handle/riufc/87127 Título: Uma plataforma gamificada para ensino de programação baseada em teoria Autor(es): Mourão, Lucas Cabral Amador Abstract: With the emergence of new technologies and study patterns, learning methodologies for learning programming in universities have been perceived as outdated and insufficiently personalized since they do not adequately address differences in students' prior knowledge, personal characteristics, and creativity. Given this context, gamification, a strategy that utilizes game elements in non-gaming environments, has gained significant popularity in recent years and arises as an opportunity to modernize programming education practices for novice students through interactive technologies. Moreover, online platforms in gamified environments have been increasingly adopted to support the modernization of the programming learning process. Nevertheless, established scientific, gaming and educational theories are not always considered for the development of those tools, just as standardized Software Engineering concepts are not entirely followed throughout the creation and validation of educational systems. In this context, this work proposes a scientifically and educationally grounded platform, called UFCGame, to support the teaching of Software Engineering, specifically introductory programming. First, a literature review was conducted to investigate the current landscape of existing platforms within the study domain. The analysis aimed to identify which platforms are based on theories, frameworks, and Software Engineering practices. In addition, the challenges, implementation methodologies, and impact assessment approaches adopted by these platforms were examined. Based on the identified gaps, the UFCGame platform was developed. It is a centralized system for supporting and monitoring gamification, using game elements based on the MDA framework (Mechanics, Dynamics, and Aesthetics) integrated with Self-Determination Theory and the ARCS motivational model. To evaluate the platform in an educational context, it was applied in three introductory Programming courses at the Federal University of Ceará during the 2025.1, 2025.2, and 2026.1 academic semesters. The platform was evaluated using two complementary approaches: the collection of nine metrics (e.g., user activity over time) related to the software quality characteristics defined by the ISO/IEC 25010 standard (e.g., Usability), three of which were proposed in this work, and the administration of two questionnaires to students who used the platform in the courses: the System Usability Scale (SUS) to assess perceived usability and MEEGA+, a model designed for evaluating educational games. The results indicate that the use of a gamification platform in introductory programming education contributes to student engagement and promotes innovation in the learning process. The UFCGame platform achieved satisfactory results across the evaluated quality criteria, with particular emphasis on Usability. Furthermore, the collected metrics provide valuable insights for future improvements and applications in other classes, contributing to the advancement of gamified educational tools. Tipo: TCC Thu, 01 Jan 2026 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/87127 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/84981 Título: Subdivisões de orientações do grafo bipartido completo K2,3 Autor(es): Serra, Philipe Medeiros Abstract: In this work, we explore the problem of finding a subdivision of a digraph F in a digraph D, with the goal of identifying polynomial-time and NP-complete instances of the problem. More specifically, we focus on the cases where F is an orientation of K2,3, in an attempt to gain a clearer understanding of a conjecture regarding the problem in planar graphs. We present all possible orientations of K2,3 and the cases where the problem can be solved in polynomial time, using flow techniques or the Directed Grid Theorem. The complexity of only one case remains open. Tipo: TCC Thu, 01 Jan 2026 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/84981 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/80335 Título: Avaliação da capacidade computacional e representação de consciência de uma Conscious Turing Machine Autor(es): Fernandes, Guilherme Sales Abstract: With the rapid evolution of generative text models and their conversational abilities, many questions arise regarding the possibility of simulating consciousness in such systems. Addressing this issue requires tackling the classic philosophical challenge of understanding the nature of consciousness. This study explores this problem from the perspective of theoretical computer science, a field dedicated to investigating the foundations of computation and complexity. The Conscious Turing Machine (CTM), proposed by Manuel and Lenore Blum, was implemented in Python, and experiments were conducted using question-based tests to assess logical inference capabilities with the bAbI toy tasks dataset and textual inference capabilities with the RocStories dataset. The CTM’s performance was compared with that of individual language models, which collectively form the CTM processors. The results indicate that while the CTM provides advantages in interpretability and information organization, its performance is comparable to that of smaller models and comes with significantly higher computational costs. Furthermore, it presents theoretical divergences from classical theories of consciousness. We conclude that the CTM serves more as a computational metaphor for studying consciousness rather than as a practical approach to Artificial Intelligence. Additionally, we discuss implementation challenges and propose directions for future research. Tipo: TCC Wed, 01 Jan 2025 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/80335 2025-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/80322 Título: Mapeamento sistemático sobre técnicas de monitoramento de faltas baseadas em mineração de dados Autor(es): Rodrigues, Paulo Ricardo Fernandes Abstract: The increasing complexity and interconnection of modern software systems makes fault detection a significant challenge, as traditional testing techniques have proven insufficient, particularly in dynamic and large-scale systems. To address this issue, various real-time monitoring approaches based on data mining have been proposed. These approaches, through continuous system analysis and the use of anomaly detection techniques, are capable of identifying faults in software systems. This study presents a systematic mapping of the literature on these monitoring techniques, aiming to identify implementation challenges and provide a comprehensive overview of the current state of the research. The mapping was conducted using the Scopus database, and 20 studies were selected to help answer the research questions defined in this work. The analysis enabled the identification of not only the main detection techniques but also the types of monitored systems, fault categories, and evaluation metrics used in the proposed approaches. Among the main challenges identified are the difficulty in labeling data for training supervised models, the complexity of interpreting the generated models, and the need for computationally efficient monitoring. Tipo: TCC Wed, 01 Jan 2025 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/80322 2025-01-01T00:00:00Z