Laci Mary Manhaes

Laci Mary Manhaes
Universidade Federal Fluminense | UFF · PEB/INFES

PhD

About

29
Publications
6,451
Reads
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126
Citations
Citations since 2016
8 Research Items
84 Citations
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2016201720182019202020212022051015

Publications

Publications (29)
Chapter
In the originally published version of chapter 11 the Author’s name was spelled incorrectly. The Author’s name has been changed as “Renato Cerceau”.
Chapter
STEM (Science, Technology, Engineering, and Mathematics) has become a popular term in Education worldwide and has received increasing attention in recent years in Brazil. However, developing a reliable assessment of interdisciplinary learning in STEM courses has been challenging. This chapter performed an extended investigation on all the Brazilian...
Chapter
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This article presents a model to execute selective training using fuzzy theory, which consists of a process to obtain check out if the candidates fulfill the requirements for the admission. Specialists were in accordance with a certain number of fixed requirements to evaluate each candidate. The fuzzy logic can classify each candidate based on the...
Article
Full-text available
A base de dados pública disponível sobre os exames que avaliam a formação dos alunos de graduação das instituições públicas e privadas brasileira constitui um imenso repositório de informações. Neste artigo, foram realizadas diversas análises utilizando o ambiente R a partir da seleção de todos os alunos dos cursos de graduação em computação que re...
Conference Paper
Este trabalho apresenta os resultados obtidos na implementação computacional de um modelo de agregação e consolidação de dados distribuídos em apoio à gestão de saúde. Pretende-se que este modelo de agregação sirva de suporte e fonte de dados aos pesquisadores da área de saúde com vistas ao planejamento de ações de saúde, em especial em instâncias...
Conference Paper
Full-text available
Este trabalho apresenta os resultados obtidos na implementação computacional de um modelo de agregação e consolidação de dados distribuídos em apoio à gestão de saúde. Pretende-se que este modelo de agregação sirva de suporte e fonte de dados aos pesquisadores da área de saúde com vistas ao planejamento de ações de saúde, em especial em instâncias...
Conference Paper
Full-text available
Key-words: computer models, e­science ;education and neuroscience;children with reading and learning difficulties
Article
Full-text available
STEM is defined as learning in the fields of Science, Technology, Engineering, and Mathematics. In Brazil, many students leave the educational system before achieving a tertiary degree in these fields. Poor academic performance in STEM undergraduate courses is an issue faced by many universities both in developed and emerging countries. Although th...
Article
Full-text available
Understanding the core function of the brain is one the major challenges of our times. In the areas of neuroscience and education, several new studies try to correlate the learning difficulties faced by children and youth with behavioral and social problems. This work aims to present the challenges and opportunities of computational neuroscience re...
Conference Paper
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RESUMO A compreensão do funcionamento do cérebro se constitui em um dos grandes desafios do momento. Na área de educação, novos estudos buscam relacionar as dificuldades de aprendizagem enfrentadas por crianças e jovens com problemas comportamentais e sociais. Este trabalho tem por objetivo apresentar um ambiente computacional inteligente baseado e...
Article
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Scientific Workflows are abstractions used to model in silico scientific experiments. Cloud environments are still incipient in collecting and recording prospective and retrospective provenance. This paper presents an approach to support collecting metadata provenance of in silico scientific experiments executed in public clouds. The strategy was i...
Article
Full-text available
Predicting the academic progress of student is an issue faced by many public universities in emerging countries. Although, those institutions stores large amounts of educational data, they fail to recognize the students that are in danger to leave the system. This paper presents a novel architecture that uses EDM techniques to predict and to identi...
Article
This paper uses educational data mining techniques to identify the variables that can help educational managers to detect students that present low performance or are in risk to dropout their undergraduate education. We investigated real world academic data of students of the largest Public Federal Brazilian University. We established three categor...
Conference Paper
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This paper aims to present a computational tool based on neural networks to detect people with possible learning disabilities (dyslexia). Participants were aged from nine to 18 years old with or without the diagnosis of dyslexia. Neural networks technique showed consistency in dealing with the problems of pattern recognition in the screening of dys...
Article
Full-text available
Nowadays, business applications span across loosely coupled systems generating increasing amounts of business provenance. Capturing, monitoring, analyzing business provenance has received insignificant attention despite its relevance. Business provenance gives the flexibility to capture the information required to address compliance or Quality of S...
Article
The problem of systematically capturing and managing business provenance across loosely coupled systems has received insignificant attention despite of its relevance. Business provenance gives the flexibility to selectively capture information required to address specific compliance, security or QoS goals. This paper presents a native cloud-based a...
Conference Paper
Este artigo utiliza técnicas de mineração de dados para identificar problemas relacionados com alunos que não conseguem completar os seus cursos de graduação. Nessa abordagem, a classificação manipula informações acadêmicas de alunos oriundos de uma grande Universidade Federal Brasileira. Muitas técnicas de mineração de dados foram avaliadas em fun...
Conference Paper
Full-text available
Scientific workflows have been established as a ordinary approach adopted by researchers to create simplified views of complex scientific processes. Science portals are a way to simplify the management of large in silico scientific experiments, they aggregate data from different sources and by providing a set of pre-designed analyses. However, such...
Conference Paper
The main goal of this work is to study the reliability of fuzzy logic based systems. Three different configurations were compared to support this research. The context used was to guide a simulated robot through a virtual world populated with obstacles. In the first configuration, the system controls only the rotation angle of the robot. In the sec...
Conference Paper
This work presents a fuzzy system designed to guide a simple simulated robot through a virtual world populated with randomly placed obstacles. The environment simulates a situation where the robot has to move in a complex world and has to calculate not only its direction but also its speed. The main goal was to investigate the performance of a fuzz...
Conference Paper
The main goal of this work is to compare two different configurations defined for a fuzzy controller that is used to guide a simulated robot through a virtual world populated with randomly placed obstacles. In the first configuration the system controls a single output, the rotation angle of the robot. In the second configuration there is an additi...
Article
Full-text available
This paper aims to present a modular tool based on computational intelligence techniques that can support specialists in the detection, evaluation, intervention in the diagnosis of dyslexia. The evaluation module is based on unsupervised neural networks to detect and to classify dyslexia patterns and validated using a sample of 52 students of 09-18...
Article
Full-text available
This paper uses data mining techniques to indentify key variables related with students failures in completing their undergraduate studies. In our approach, classification analysis is used to manipulate academic data of students of the largest Brazilian Federal University. Differently from other works, our research shows that even analyzing three d...

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Projects (4)
Project
O projeto tem como objetivo a criação de um modelo fuzzy capaz de auxiliar a detecção da dislexia nos anos iniciais da educação infantil, permitindo a identificação dos primeiros sinais deste distúrbio cognitivo.