Navegando por Assunto "Software educacional"

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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)
Desenvolvimento e avaliacao empirica de um simulador educacional para o apoio ao ensino de ECG, baseado na orientacão espacial do coração.
(Universidade Federal do Pará, 2018-09-21) PONTES, Paulo André Ignácio; SERUFFO, Marcos Cesar da Rocha; http://lattes.cnpq.br/3794198610723464; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
The electrocardiogram (ECG) is one of the most commonly used diagnostic procedures in medicine, so it is essential that undergraduate medical students learn to interpret it correctly while they are still in training. Of course, students go through classical learning (ex: lectures and lectures). However, they are generally not efficiently trained in ECG interpretation. In this regard, educational support methodologies and tools in medical practice, such as educational software, should be considered as a valuable approach for medical training purposes. This thesis deals with the development of a simulator (VETOECG) that allows experiential teaching, so that students can relate to projections of the cardiac electrical vectors, through the manipulation of the spatial orientation of the heart and the repercussions in their respective waves in the ECG. In addition, this thesis reports a formal experiment (pre / posttest with a randomized control group) to evaluate empirically the learning effetiveness of the tool and analyzes the subjective factors of students' perception regarding motivation, user experience and collected through questionnaires. The results indicated that the simulator has positive learning efficacy compared to traditional methodologies (statistically significant difference, p-value <0.0001 *, median of 38.5 points and interquartile range 23.1 to 46.2 points) used for learning in the proposed study. It can be verified that the simulator is adequate in the most diverse dimensions, since they were evaluated positively: in terms of motivation (88.15%), user experience (76%) and learning (96.5%).