Computational Learning
Mostrando 13-24 de 150 artigos, teses e dissertações.
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13. Una revisión de literatura sobre el uso de modelación y simulación computacional para la enseñanza de la física en la educación básica y media
This paper presents a literature review covering the central epistemological, psychopedagogical and didactical framework on researches about Computational Modeling and Simulation (CMS) activities in physics education (Middle and High School levels). The main search was performed in the following databases: Science Direct, Scopus, Web of Science and Google Sc
Rev. Bras. Ensino Fís.. Publicado em: 31/05/2016
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14. AVALIAÇÃO DO USO DE PLANILHAS COMPUTACIONAIS COMO UMA FERRAMENTA DIDÁTICA EM QUÍMICA ANALÍTICA QUALITATIVA
The use of spreadsheet softwares is not widespread in Chemical Education in Brazil as a computational education tool. By its turn the Qualitative Analytical Chemistry is considered a discipline with classical and non-flexible content. Thus in this work the spreadsheet software Excel® was evaluated as a teaching tool in a Qualitative Analytical Chemistry cou
Quím. Nova. Publicado em: 2016-04
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15. INTERACTIONS: DESIGN, IMPLEMENTATION AND EVALUATION OF A COMPUTATIONAL TOOL FOR TEACHING INTERMOLECULAR FORCES IN HIGHER EDUCATION
Intermolecular forces are a useful concept that can explain the attraction between particulate matter as well as numerous phenomena in our lives such as viscosity, solubility, drug interactions, and dyeing of fibers. However, studies show that students have difficulty understanding this important concept, which has led us to develop a free educational softwa
Quím. Nova. Publicado em: 2015-12
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16. La formulación de preguntas en el aula de clase: una evidencia de aprendizaje significativo crítico
This paper presents the main results of a study aimed to assess the implementation of a didactic proposal made up of computational modeling activities, using the AVM diagram - an adaptation of Gowin's V to computational modeling-, and its impact on empowering students to formulate questions in physics class. The investigation was carried out with a group of
Ciênc. educ. (Bauru). Publicado em: 2014-03
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17. A decision-tree-based model for evaluating the thermal comfort of horses
Thermal comfort is of great importance in preserving body temperature homeostasis during thermal stress conditions. Although the thermal comfort of horses has been widely studied, there is no report of its relationship with surface temperature (T S). This study aimed to assess the potential of data mining techniques as a tool to associate surface temperature
Sci. agric. (Piracicaba, Braz.). Publicado em: 2013-12
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18. Un método para enseñar el porqué suceden las reacciones químicas
A methodology is proposed for explaining one of the central questions in the teaching of general chemistry courses to freshman students: why do chemical transformations occur? The answer to this question is based on thermodynamics but we propose arriving at an answer in a more intuitive way by using computational tools in a bid to increase the motivation of
Quím. Nova. Publicado em: 2013
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19. Técnica de realidade virtual para manipulação e deformação de superfícies NURBS
The Virtual Reality (VR) mainly deals with the creation of three-dimensional environments generated in real time and made available for multisensory interaction with different devices. A high processing capacity and modeling environments is required for applications of this nature. These applications currently extend to various productive sectors such as ind
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/10/2012
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20. Evolving granular systems = : Sistemas granulares evolutivos / Sistemas granulares evolutivos
In recent years there has been increasing interest in computational modeling approaches to deal with real-world data streams. Methods and algorithms have been proposed to uncover meaningful knowledge from very large (often unbounded) data sets in principle with no apparent value. This thesis introduces a framework for evolving granular modeling of uncertain
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 19/07/2012
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21. Estimação e previsão da estrutura a termo das taxas de juros usando técnicas de inteligência computacional / Term structure of interest rate modeling and forecasting using computational intelligence techniques
This work proposes the term structure of interest rates modeling and forecasting using computational intelligence techniques, based on data from the US and Brazilian fixed income markets. The yield curve modeling includes the use of some evolutionary computation methods like Genetic Algorithms, Differential Evolution and Evolution Strategies in comparison wi
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/06/2012
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22. Rede Neural artificial aplicado ao manejo de irrigaÃÃo / Artificial neural network applied to irrigation management
A irrigaÃÃo à uma das prÃticas culturais que mais influencia o aumento da produÃÃo. No entanto, para o sucesso desta prÃtica necessita-se determinar o tempo certo da aplicaÃÃo de Ãgua para evitar desperdÃcios. Com isso, o emprego de sensores de umidade, como os sensores capacitivos, para nÃveis reais de umidade do solo aliados a redes neurais art
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 24/02/2012
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23. Leitura, tradução e medidas de complexidade textual em contos da literatura para leitores com letramento básico
This work analyzes textual complexity and readability patterns from a computational perspective, situating the problem through the description of original and translated texts, based on Translation Studies, Corpus Linguistics and Natural Language Processing theoretical postulates. We investigated the hypothesis that there are English literature translations
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 2012
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24. Abordagens para aprendizado semissupervisionado multirrótulo e hierárquico / Multi-label and hierarchical semi-supervised learning approaches
In machine learning, the task of classification consists on creating computational models that are able to automatically identify the class of objects belonging to a predefined domain from a set of examples whose class is known a priori. There are some classification scenarios in which each object can be associated to more than one class at the same time. Mo
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/10/2011