Search results for "e learning"

showing 10 items of 2703 documents

Introducción de metodologías de aprendizaje basado en problemas mediante tecnologías multimedia

2014

La propuesta de trabajar por competencias en lugar de hacerlo como se hacía tradicionalmente, por objetivos, ha hecho proliferar las propuestas y alternativas metodológicas para favorecer un cambio en la Educación Superior. Una de estas metodologías es el aprendizaje basado en problemas (ABP). El ABP es una metodología de aprendizaje en la cual el punto de partida es un problema construido por el profesor que permite al estudiante identificar necesidades para comprender mejor ese problema, identificar principios que sustentan el conocimiento y cumplir objetivos de aprendizaje relacionados con cada porción del contenido de la materia. En el caso de las tecnologías de la información y las com…

Aprendizaje basado en problemasTecnologías multimediaMultimedia teconologyProblem-based learningAprendizaje colaborativoCollaborative learning
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Incorporando dispositivos de radio definida por software en la materia de Comunicaciones Digitales: del grupo piloto a la gran clase

2020

La innovación educativa es un proceso que se extiende más allá de un curso académico. En su desarrollo se distinguen las etapas de planificación, implementación, evaluación y realimentación, para identificar aspectos susceptibles de mejora. En esta contribución presentamos el trabajo desarrollado en los dos últimos cursos en la asignatura Teoría de la Comunicación (materia de Comunicaciones Digitales), Grado en Ingeniería Telemática, de la Universitat de València. Concretamente, se incorporan dispositivos de radio definida por software en los laboratorios como herramienta para conseguir unas prácticas más realistas. El artículo describe el proceso de adaptación de una sesión de laboratorio, qu…

Aprendizaje basado en proyectosActive learningUNESCO::CIENCIAS TECNOLÓGICAS::Tecnología de las telecomunicaciones ::Radiocomunicaciones:CIENCIAS TECNOLÓGICAS::Tecnología de las telecomunicaciones ::Radiocomunicaciones [UNESCO]Digital communicationsRadio definida por softwareInnovación docente
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El aprendizaje servicio como propuesta metodológica para una pedagogía crítica

2016

El presente artículo aborda la relación entre la pedagogía crítica y los pilaresfundamentales de la metodología del aprendizaje servicio. Su principal objetivo esdemostrar, de un modo concluyente, la idoneidad del aprendizaje servicio comometodología para alcanzar objetivos pedagógicos tales como la emancipación, latransformación y la justicia social. El trabajo parte de la clarificación de los pilaresfundamentales de la pedagogía crítica, entendida como paradigma filosófico-educativoque emerge de la Teoría Crítica de la Escuela de Frankfurt. Posteriormente, el artículoda cuenta de los fundamentos pedagógicos del aprendizaje servicio, aportandoargumentos que evidencian su capacidad para sat…

Aprendizaje-servicio; pedagogía crítica; metodología; educación; ciudadaníaAprendizaje-servicioService learning critical pedagogy methodology citizenship educationAprendizaje servicio; pedagogía crítica; metodología; educación; ciudadaníaEducaciónMethodologyGeneral Engineeringervice learning; critical pedagogy; methodology; citizenship; educationMetodologíaAprendizaje servicioEducationCiudadaníaAprendizaje servicio pedagogía crítica metodología educación ciudadaníaCiències socials MetodologiaService learningCitizenshipCritical pedagogyEducacióPedagogiaPedagogía críticaRIDAS
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Proyectos educativos multidisciplinares y ayuda a la comunidad

2019

This paper relates an experience carried out at a higher education setting, specifically involving 3rd-year students in the Early Childhood Education degree programme. In relation to this, the paper presents an educational model that takes into account the need to develop ethical and social competences and gives importance to interdisciplinary education in real contexts. To this aim, all the academic modules that form part of this degree programme devote 25% of their teaching time and evaluation to the development of an interdisciplinary project. This paper will describe one of these projects, entitled "Solve a real problem", the design of which is informed by service-learning and problem-b…

AprenentatgeGeneral EngineeringComputingMilieux_COMPUTERSANDEDUCATIONService learning; problem based learning; project work; ethical and social competence; teacher training; community supportProfessors FormacióAprendizaje-servicio; aprendizaje basado en problemas; trabajo por proyectos; competencia ética y social; formación del profesorado; ayuda a la comunidad.
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Sequential Mining Classification

2017

Sequential pattern mining is a data mining technique that aims to extract and analyze frequent subsequences from sequences of events or items with time constraint. Sequence data mining was introduced in 1995 with the well-known Apriori algorithm. The algorithm studied the transactions through time, in order to extract frequent patterns from the sequences of products related to a customer. Later, this technique became useful in many applications: DNA researches, medical diagnosis and prevention, telecommunications, etc. GSP, SPAM, SPADE, PrefixSPan and other advanced algorithms followed. View the evolution of data mining techniques based on sequential data, this paper discusses the multiple …

Apriori algorithmComputer sciencebusiness.industryData stream miningConcept mining02 engineering and technologycomputer.software_genreMachine learningGSP AlgorithmTree (data structure)Statistical classificationComputingMethodologies_PATTERNRECOGNITION020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingData miningArtificial intelligencebusinessK-optimal pattern discoverycomputerFSA-Red Algorithm2017 International Conference on Computer and Applications (ICCA)
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Machine learning for rapid mapping of archaeological structures made of dry stones – Example of burial monuments from the Khirgisuur culture, Mongoli…

2020

11 pages; International audience; The present study proposes a workflow to extract from orthomosaics the enormous amount of dry stones used by past societies to construct funeral complexes in the Mongolian steppes. Several different machine learning algorithms for binary pixel classification (i.e. stone vs non-stone) were evaluated. Input features were extracted from high-resolution orthomosaics and digital elevation models (both derived from aerial imaging). Comparative analysis used two colour spaces (RGB and HSV), texture features (contrast, homogeneity and entropy raster maps), and the topographic position index, combined with nine supervised learning algorithms (nearest centroid, naive…

Archeology010504 meteorology & atmospheric sciences[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryComputer scienceMaterials Science (miscellaneous)Topographic position index[SDV]Life Sciences [q-bio]ConservationMachine learningcomputer.software_genre01 natural sciences[SHS]Humanities and Social SciencesNaive Bayes classifierVector graphicsPixel classification[SCCO]Cognitive sciencePixel classification Grey level co-occurrence matrix RGB colour space Texture Topographic position index Photogrammetry Burial complex planigraphy Mongolia Bronze age Iron age0601 history and archaeologyTextureSpectroscopyRGB colour space0105 earth and related environmental sciencesBronze age060102 archaeologyArtificial neural networkbusiness.industryIron ageCentroidGrey level co-occurrence matrix06 humanities and the artscomputer.file_formatMongoliaArchaeologyRandom forestSupport vector machinePhotogrammetryChemistry (miscellaneous)Photogrammetry[SDE]Environmental SciencesBurial complex planigraphyArtificial intelligenceRaster graphicsbusinessGeneral Economics Econometrics and Financecomputer
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Deep learning to detect built cultural heritage from satellite imagery. - Spatial distribution and size of vernacular houses in Sumba, Indonesia -

2021

Abstract In Sumba Island – Indonesia, the implantation of vernacular houses, inside and outside traditional villages, is considered to be an efficient proxy for the on-going complex cultural transformations resulting from globalization. This study presents an easily reproducible workflow allowing buildings to be automatically detected from satellite imagery, demonstrating how modern computer vision methods based on deep learning can help in this task, which would be far too time-consuming when undertaken by hand. Eight deep learning architectures based on convolutional neural networks were compared in terms of ability to identify and locate precisely traditional houses from satellite images…

Archeology[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryComputer scienceMaterials Science (miscellaneous)02 engineering and technologyConservationMachine learningcomputer.software_genreConvolutional neural network11. SustainabilityClassifier (linguistics)0202 electrical engineering electronic engineering information engineering0601 history and archaeologyArchitectureSpectroscopyComputingMilieux_MISCELLANEOUS060102 archaeologyPoint (typography)business.industryDeep learning06 humanities and the arts[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Support vector machineCultural heritageWorkflowChemistry (miscellaneous)[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processingArtificial intelligencebusinessGeneral Economics Econometrics and Financecomputer
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Computing methods for resilience: evaluating new building components in the frame of SECAPs

2019

Resilience represents a new important feature that the anthropic systems, and cities among them, are called to cope with. In fact, the increasing negative stresses to which urban contexts are exposed, and mainly the climatic pressures, call for the capability of adapting to these modifications and, possibly, to restore the ex-ante situations. The role of the buildings and their envelope components is of crucial importance to this aim. This paper analyses the features of resilience of the roofs of buildings by means of proper quantitative indexes. On purpose, the performances of green and cool roofs are compared. The possibility of adopting nonstructural solutions, like the windows shading d…

Architectural engineeringgreen roofComputer science020209 energycool roof0211 other engineering and technologies02 engineering and technologygreen roofsenergy consumption021105 building & constructionbuilding0202 electrical engineering electronic engineering information engineeringFeature (machine learning)shading devicesResilience (network)resilienceshading devices.Settore ING-IND/11 - Fisica Tecnica AmbientaleFrame (networking)Energy consumptionbuildingsbuildings energy consumption resilience green roofs cool roofs shading devicescool roofsbuildings; cool roofs; energy consumption; green roofs; resilience; shading devicesReflective surfacesEnvelope (motion)
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Argumentation Skills as Prerequisites for Collaborative Learning Among Finnish, French and English Secondary School Students.

2005

International audience; Argumentation skills of secondary school students were evaluated in Finland (n = 290), France (n = 54), and England (n = 41). The data were collected from 4 tasks comprising 7 variables. The results indicated that most of the students had correctly justified arguments and conclusions, and composed clear claims and relevant arguments. However, many students had difficulties in recognising the main claim and arguments for it in an expository text, and in commenting analytically on an argumentative text. Thus the students possessed the prerequisites for argumentative reasoning and writing but need further practice in analytical and critical reading.

Argumentativeargumentation skills[SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/Educationinternational comparisonCollaborative learning[SHS.LANGUE] Humanities and Social Sciences/LinguisticsEducationArgumentation theoryCritical readingPedagogyMathematics educationsecondary school[SHS.LANGUE]Humanities and Social Sciences/LinguisticsPsychology
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Methodological advances in brain connectivity

2012

Determining how distinct neurons or brain regions are connected and communicate with each other is a crucial point in neuroscience, as it allows to investigate how the functional integration of specialized neural populations enables the emergence of coherent cognitive and behavioral states. The general concept of brain connectivity encompasses different aspects: structural connectivity is related to the description of anatomical pathways and synaptic connections; functional connectivity investigates statistical dependencies between spatially separated brain regions; effective connectivity refers to models aimed at elucidating driver-response relationships. The study of these different modes…

Article SubjectImmunology and Microbiology (all)Computer scienceModels NeurologicalNeurophysiologyElectroencephalographylcsh:Computer applications to medicine. Medical informaticsMachine learningcomputer.software_genreModels BiologicalBrain mappingGeneral Biochemistry Genetics and Molecular BiologySynchronization (computer science)medicineHumansNeuronsConnectivityBrain MappingComputational modelBiochemistry Genetics and Molecular Biology (all)Quantitative Biology::Neurons and CognitionGeneral Immunology and MicrobiologyArtificial neural networkFunctional integration (neurobiology)medicine.diagnostic_testbusiness.industryModeling and Simulation; Biochemistry Genetics and Molecular Biology (all); Immunology and Microbiology (all); Applied MathematicsApplied MathematicsBrainComputational BiologyMagnetoencephalographyElectroencephalographyGeneral MedicineMagnetoencephalographyEditorialModeling and SimulationMultivariate AnalysisSettore ING-INF/06 - Bioingegneria Elettronica E Informaticalcsh:R858-859.7Transfer entropyArtificial intelligenceNetworksbusinesscomputerSoftware
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