Navegando por Orientadores "FARIAS, Fabricio de Souza"

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Acesso aberto (Open Access)
Algoritmos para seleção de metodologias de avaliação de softwares educacionais
(Universidade Federal do Pará, 2023-09-26) CASTILHO, Janize Monteiro de; FARIAS, Fabricio de Souza; http://lattes.cnpq.br/1521079293982268; https://orcid.org/0000-0003-4344-6953
In order to assist the teaching-learning processes, many teachers have decided to use Educational Software (ES) in their classrooms. However, to choose a ES as a teaching resource it is essential to endorse the methodology used by the teacher, once it needs to be pedagogically and functionally appropriate to meet the needs and objectives present in the classroom. Also, it is necessary to use mechanisms that the ES endorses to verify its adequacy to the professor’s objectives. Currently, it is verified that there are various techniques and methodologies available in the literature for ES assessment, but there is still no solution for decision making and selection of a ES that fully addresses the profiles of users and their different needs to be met by certain methodological application, or that arises from demand originating from the development of solutions based on demand and with a low capacity for generalization in terms of practical application. In this way, solutions are available without standardization and that several times do not take into consideration criteria relating to quality, measurement scales and verification procedures of the ES. This heterogeneity makes the evaluation of an ES very difficult, since the subjectivity in the selection of ES evaluation methodology can produce inconclusive results. Given this context, this work created a quality model that considers 24 ES assessment methodologies available in the literature and aims to automate the selection of ES assessment methodology based on the application of artificial intelligence (AI) algorithms, reducing the possibility of subjectivity in the screening process. During the investigation we used Natural Language Processing (NLP), Random Forest, k-Nearest Neighbors and Artificiais Neurais Networks. In all research scenarios, the natural language algorithm was combined with other algorithms, offering a solution based on the application of hybrid and loosely coupled AI algorithms, with excellent results. In this way, simulations were carried out considering NLP+Random Forest, NLP+k-Nearest Neighbors and NLP+Artificial Neurais Networks. After the simulations, the results indicate that it is possible to determine the best ES assessment methodology using AI algorithms, with the best results obtained with the combination of NLP+Random Forest.
Acesso aberto (Open Access)
Proposição de um software para monitoramento do desempenho da sustentabilidade em municípios paraenses
(Universidade Federal do Pará, 2023-12-06) CAMACHO, Marcelo Santana; SOUZA, Marcela Alves de; http://lattes.cnpq.br/5948064802257396; HTTPS://ORCID.ORG/0000-0003-0241-1076; FARIAS, Fabricio de Souza; http://lattes.cnpq.br/1521079293982268; https://orcid.org/0000-0003-4344-6953
Brazil is being demanded and challenged to improve its control and efficiency over environmental and social projects. In 2023, the UN confirmed that COP-30, scheduled for 2025, will be hosted in Belém-PA, attracting the attention of several heads of state to the Amazon, a region entangled in geopolitical and ideological discourses. To meet global expectations, local authorities will need to show that biodiversity is a wealth of life and ways of life. To achieve this, it will be necessary to identify and mitigate the challenges highlighted in the goals of the 2030 Agenda, above all, harmonizing the interests present in meeting the goals with local reality and expectations, as currently even Public Policies (PP) implemented at national level still cannot have the effective adhesion of local agents, thus hindering its effectiveness. In this sense, we understand that indicators are important instruments for planning and evaluating PP, in the context of Sustainable Development, these indicators are more complex because they deal with issues that go beyond the notion of locality and temporality, as social and environmental events cannot be measured. and treated as economic or organizational metrics. Therefore, a good sustainability indicator needs to be easy to implement, understand and incorporate into PP projects. In this context, the Sustainability Barometer (BS) is a very useful and versatile holistic indicator of sustainability, also being an indicator already applied in several studies conducted in the State of Pará and predominating in studies applied to settlements, companies, municipalities, etc. Furthermore, the BS has a pedagogical advantage, as it easily communicates the situation, being easy to interpret and analyze. For these reasons, the BS was implemented in software to serve as a tool in the process of generating sustainability levels by municipality and region. Finally, in this work an investigation was conducted that allowed the BS method to be applied in an automated way to the 144 municipalities in Pará. In the application, several variables from the environmental, economic and social dimensions were used, allowing us to determine that the State and its regions present an Intermediate level of sustainability, with the economic dimension being the most vulnerable. We also identified that the municipalities of Belém and Parauapebas presented the best performances, while Viseu and Cachoeira do Piriá presented the worst. The panorama demonstrates that the State needs to invest in PP instruments to improve urban planning, as population growth and the emergence of new unplanned housing areas lead to various human and environmental losses. On the other hand, urban growth ordered and guided by public authorities minimizes the number of sub-housings and eradicates social problems by improving access for the most vulnerable populations to goods and services, guaranteeing human and ecosystem well-being.