Trabalho de Conclusão de Curso - TCC

URI Permanente para esta coleçãohttps://repositorio.cesupa.br/handle/prefix/20

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Navegando Trabalho de Conclusão de Curso - TCC por Orientador "Nascimento, Polyana Santos Fonseca"

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    Mapeamento das dificuldades discentes no ensino de programação do CESUPA
    (Centro Universitário do Estado do Pará, 2022) Chaves, Marcelo Calandrini; Parente, Marcos Aguiar; Silva, Matheus Lopes da; Silva, Otávio Araújo; Nascimento, Polyana Santos Fonseca
    This research surveys the experiences of students of the Computer Science course at CESUPA in programming disciplines. This article aimed to analyze the way in which active teaching methodologies in these disciplines are taught from the students' perception and to verify possible barriers in their application. For this, a form was developed and distributed to students of all semesters with questions related to their experiences in the programming disciplines taught from the first to the third period of the course. After analyzing the respondents, the most used methodologies in the disciplines were identified, those that were better or worse accepted by the students, in addition to the students' experiences in the disciplines. With this, patterns of answers were observed that demonstrate some difficulties faced by the students as well as possibilities to improve the students' experience, as was the case of the use of gamification, which, according to the studies carried out, is believed to have been a differential for the software programming discipline had a good experience index, different from what happened with object programming that had a significant number of negative answers in this regard. The realization of this research could verify that, according to the students' experiences, there are obstacles in programming learning and active methodologies can either contribute positively to the student's experience in their academic development or make it difficult.
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    Um estudo sobre assistentes virtuais inteligentes na atualidade: tecnologia e aplicabilidades
    (Centro Universitário do Estado do Pará, 2022-12-05) Bol, Caroline Maria Nunes; Barreto, Isabela Sobral Porpino Paes; Nascimento, Polyana Santos Fonseca
    The usage of Intelligent Personal Assistants (IPAs), has rapidly grown in the past decade, represented by both large scale applications, developed by the biggest tech companies nowadays, and smaller applications developed by various businesses to interact with their clients, being dedicated to tasks related to the company’s necessities. The IPA’s notable influence gain in people’s everyday life and the continuous investment in this area contributes to a discussion regarding the assistants' use and evolution. In this context, this article aims to look into the current situation regarding intelligent assistants, considering its technology and fields of usage, as well as comparing Brazil’s contribution in this area in contrast to the rest of the world. The method chosen to achieve these objectives consists in a systematic review regarding IPAs, by investigating academic repositories in search of bibliographic materials. As a result, this article presents the many fields of application that are using IPAs technology, as well as showing the main elements that compose their structure and the most currently used architecture. Lastly, this work’s contribution is to show future perspectives in this area, like promising ways forward and parts that need attention, in a way as to guide future academic works.
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    Utilização da Inteligência Artificial para o desenvolvimento de próteses e órteses: análise dos avanços e desafios
    (Centro Universitário do Estado do Pará, 2023) Calvinho Bisneto, Hermínio; Castro, João Paulo da Silva; Vieira, Rannery Carlos Mota; Farinha, Reryson Augusto; Nascimento, Polyana Santos Fonseca; http://lattes.cnpq.br/6889523334917369; Elgrably, Isaac Souza; http://lattes.cnpq.br/7590598824563858; Gomes, Vitor Hugo Freitas; http://lattes.cnpq.br/5218954387107307
    Prosthetics are devices that replace body limbs to compensate for functional insufficiencies, while orthoses are temporary devices that contribute to the alignment, immobilization and movement of specific parts of the body, preventing deformities. Both aim to meet the specific needs of People with Disabilities (PWD). Currently, several types of prosthetics and orthoses are available. This work performs a diagnosis, adopting a meta-analysis approach to study information related to the use of technology and computing in prosthetics and orthoses. Furthermore, it highlights the evolutionary process of these technologies, emphasizing the contribution of AI to the advancement of accessibility and these specific technologies. The study proposes a systematic review on the use of AI in the development of these technologies, with the aim of evaluating results, highlighting techniques and categorizing information according to how each technology works. Finally, the article seeks to understand the crucial role of AI in the creation of prosthetics and orthoses, exploring its impact on accessibility and the daily lives of PWDs.