Programa de Pós-Graduação em Computação Aplicada - PPCA/NDAE/Tucuruí

URI Permanente desta comunidadehttps://repositorio.ufpa.br/handle/2011/9398

Navegar

Agora exibindo 1 - 5 de 5

Acesso aberto (Open Access)
Aplicação de estratégias de gamificação personalizadas no ensino de algoritmos e programação em curso introdutório de computação
(Universidade Federal do Pará, 2025-04-16) DINIZ, Patrícia Pinto; PORTELA, Carlos dos Santos; http://lattes.cnpq.br/7707594869367480; MERLIN, Bruno; http://lattes.cnpq.br/7336467549495208; https://orcid.org/0000-0001-7327-9960
This dissertation, structured as a collection of academic articles, investigates the use of personalized gamification strategies in programming education, focusing on pedagogical alignment with students’ motivational profiles and learning styles. The work comprises three interdependent articles that complement each other in addressing how to personalize the teaching of algorithms and programming to foster greater engagement, motivation, and academic performance The first article, titled “Personalized Gamification Strategies in Programming Education: A Systematic Literature Review”, published in the proceedings of SBIE 2024, presents a systematic review of 45 studies published between 2019 and 2023. Its aim was to identify the effects of competitive, cooperative, and hybrid gamification elements in programming education. The results revealed important patterns regarding the impact of these strategies on student engagement and highlighted gaps related to personalization and the use of adaptive feedback, providing a theoretical foundation for the subsequent applied studies. The second article, “Personalized Gamification in Programming Education: An Experience Report with Adaptive Feedback”, awarded at EDUCOMP 2025, reports on the application of a pedagogical methodology based on the HEXAD model (motivational profiles) and the GRSLSS model (learning styles). The approach was implemented in a technical computing class, where students were categorized into specific profiles and received gamified activities tailored to their characteristics. The experience revealed increased engagement, greater autonomy, and more active participation in the proposed tasks. The third article, “Applying Personalized Gamification Strategies in Teaching Algorithms and Programming in an Introductory Computing Course”, represents the final stage of the project and was presented to the dissertation committee. It describes the application of two main activities: the first focused on programming logic (Animal Duel), and the second on Object-Oriented Programming (OOP), developed based on the adaptive feedback collected in the previous phase. The personalization of tasks and the use of individualized feedback led to significant improvements in academic performance, content comprehension, and student motivation Overall, the three articles demonstrate that personalized gamification, combined with adaptive feedback, is an effective and replicable strategy to make programming education more inclusive and student-centered. This dissertation contributes to the field of Computer Science Education by providing empirical evidence and pedagogical practices that can be applied in diverse educational contexts.
Acesso aberto (Open Access)
Clusterização de padrões espaço-temporais de precipitação na Amazônia via deep convolutional autoencoder
(Universidade Federal do Pará, 2023-07-07) SILVA, Vander Augusto Oliveira da; TEIXEIRA, Raphael Barros; http://lattes.cnpq.br/4902824086591521; https://orcid.org/0000-0003-2993-802X
Studies using different machine learning methods for knowledge discovery and pattern recognition in precipitation time series are increasingly frequent in the literature. Identify and analyze patterns in precipitation time series in a particular region is fundamental for its socioeconomic development. Therefore, it can be stated that knowledge and understanding of the rainfall characteristics of the regions are important to enable the planning of the use, management and conservation of water resources. The natural phenomenon of precipitation is a fundamental process with a direct impact on watersheds and on human and environmental development. The variability of this phenomenon has important implications for the navigability of rivers, individual abundance and species richness. In recent years, many studies with this approach have been carried out in Brazil, mainly in the Amazon region. This research aimed to develop a computational method for analyzing time series of precipitation using machine learning techniques with unsupervised learning, in order to propose an method capable of extracting complex features from the data, obtaining a map of attributes at low dimensionality for pattern recognition, discovery of homogeneous regions with respect to precipitation and approximate reconstruction of precipitation time series in the Legal Amazon. The proposed deep learning neural network model is trained to learn the main and most complex features of the original data and present them in low dimensionality in latent space. After the training, the results are promising, the observations of the reconstructed data showed a good performance as evaluated by the RMSE and NRMSE metric with resulting values equal to 0.06610 and 0.3355 respectively. The analysis of the representation of the data in low dimension was applied and analyzed by a clustering structure using hierarchical agglomerative with Ward’s method. This methodology also showed good results, as it carried out consistent groupings characterizing ho- mogeneous regions in relation to precipitation data. Thus, demonstrating that the representation in low dimensionality carried the main characteristics of the time series of the analyzed data. It is noteworthy that the method developed in this study can be applied not only in the Amazon region, but also in other areas with similar challenges related to time series analysis.
Acesso aberto (Open Access)
A comunicabilidade da interação do usuário idoso com o aplicativo WhatsApp
(Universidade Federal do Pará, 2021-10-25) OLIVEIRA, Regina Mares de Souza; FÜLBER, Heleno; http://lattes.cnpq.br/5018616409948511; MERLIN, Bruno; http://lattes.cnpq.br/7336467549495208; https://orcid.org/0000-0001-7327-9960
The advances in digital technologies and the widespread use of smartphones have greatly changed the way people communicate, mainly through social platforms. At the same time, the sharp growth of the elderly population raises the question of the relationship of the elderly and the new digital media, especially with the Covid-19 pandemic that has conditioned social isolation. This research aims to investigate the communicability of the interaction of elderly users with the WhatsApp application. Methodologically, it began with a systematic review of the literature, later, a case study was conducted with a group of 10 elderly, applied the Communicability Evaluation Method of Semiotic Engineering with the objective of knowing and explaining the communicative problems of use and relating them to the characteristics of the elderly. The results indicated interaction problems related to the attribution of meaning, perception, recognition of icons; indicated the most frequent communicability ruptures; indicated low vision as the most common change of aging; presented reports of the experiences of use of the elderly and also regarding the satisfaction and classification of the service.
Acesso aberto (Open Access)
Software educacional como ferramenta para o desenvolvimento motor fino em crianças com síndrome de Down
(Universidade Federal do Pará, 2021-12-17) FERRAZ, Daniel de Oliveira; MERLIN, Bruno; http://lattes.cnpq.br/7336467549495208; HTTPS://ORCID.ORG/0000-0001-7327-9960; FÜLBER, Heleno; http://lattes.cnpq.br/5018616409948511
Observing the social and educational context, and considering that children with down syndrome are being included in regular education in public and private schools, this work sought to identify and apply a tool that helps the teacher to work on improving fine motor movement of the student, aiming at a gain in the motor writing learning process. Thus, a tool was selected and a case study was applied to assess the possibilities of this gain. During the research, the considerations made by a psychopedagogue who followed the intervention process and evaluated the changes observed at the end of the process were used as an evaluation parameter. Thus, it was observed that the use of educational software as a teaching tool, enabled a gain in the development of motor coordination and a sense of laterality, leading to the conclusion that it can help in the literacy process of children with down syndrome.
Acesso aberto (Open Access)
Trabalho remoto no pós-pandemia: benefícios e desafios no setor de TI do estado do Pará
(Universidade Federal do Pará, 2025-04-11) COELHO, Eliezer Miranda; PEREIRA, Rodrigo Lisbôa; http://lattes.cnpq.br/0961152700140103; https://orcid.org/0000-0001-5217-908X; PORTELA, Carlos dos Santos; http://lattes.cnpq.br/7707594869367480
The adoption of remote work has enabled companies and employees to adapt to the demands of social distancing, while also bringing benefits such as saving time, reducing commuting costs and improving quality of life. However, this transition has also posed significant challenges, such as difficulties in communication, collaboration between teams and maintaining employee well-being. This master’s thesis investigates the benefits and challenges in the post-pandemic period of Covid-19 through a Systematic Literature Review (SLR) and an empirical study in the Information Technology (IT) sector in the state of Pará. The SLR analyzed 13 studies from four databases, indicating increased productivity and challenges such as balancing professional and personal life. The empirical study, conducted with managers and employees, revealed that flexibility and time savings were the main benefits, while social isolation and adaptation to new management approaches were the most cited challenges. The findings provide insights for future research on hybrid work models and organizational policies in the IT sector.

Navegar

Navegando Programa de Pós-Graduação em Computação Aplicada - PPCA/NDAE/Tucuruí por Afiliação "IFPA - Instituto Federal de Educação, Ciência e Tecnologia do Pará"