Search results for "learning"

showing 10 items of 6669 documents

An Alternative Paradigm to Evaluate the Acquisition of the van Hiele Levels

1991

This article presents an alternative way of analyzing the van Hiele level of students’ geometrical reasoning. We evaluate the students’ answers, taking into account the van Hiele level they reflect and their mathematical accuracy. This gives us a description of how accomplished the students are in applying the procedures associated with each of the van Hiele levels and allows us to determine the students’ degree of acquisition of the van Hiele levels. In this way we obtain a clearer picture of the students’ geometrical reasoning than with the traditional assignment of one van Hiele level to the learners. An example of the application of this method is provided: We describe a test that evalu…

Alternative methodsHigher educationbusiness.industryEducationTest (assessment)School teachersMathematics (miscellaneous)Concept learningPedagogyCognitive developmentMathematics educationVan Hiele modelbusinessPsychologyJournal for Research in Mathematics Education
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Multi-sensor Fusion through Adaptive Bayesian Networks

2011

Common sensory devices for measuring environmental data are typically heterogeneous, and present strict energy constraints; moreover, they are likely affected by noise, and their behavior may vary across time. Bayesian Networks constitute a suitable tool for pre-processing such data before performing more refined artificial reasoning; the approach proposed here aims at obtaining the best trade-off between performance and cost, by adapting the operating mode of the underlying sensory devices. Moreover, self-configuration of the nodes providing the evidence to the Bayesian network is carried out by means of an on-line multi-objective optimization.

Ambient intelligenceComputer sciencebusiness.industryMode (statistics)Ambient Intelligence Bayesian Networks Multi-objective optimization.Bayesian networkMachine learningcomputer.software_genreMulti-objective optimizationVariable-order Bayesian networkNoise (video)Artificial intelligenceData miningbusinesscomputerEnergy (signal processing)
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El móvil en las universidades como instrumento de respuesta de audiencias

2019

Internet y la introducción de la multimedia en el aula permiten al alumnado experimentar situaciones que complementan su formación. En los últimos años, el término aprendizaje móvil (m-Learning) ha llegado a popularizarse en los contextos educativos. Una de sus aplicaciones es el uso conjunto de la ludificación y las TIC en la enseñanza universitaria mediante los Instrumentos de Respuesta de Audiencias relacionados con la utilización de dispositivos móviles en el aula. Este estudio examina el efecto de utilizar dos plataformas online (Kahoot! y Socrative) en cuatro asignaturas impartidas en una universidad pública española durante el curso 2016-2017. Los objetivos de esta investigación son …

Ambiente de la claseMobile learningUniversitatsEducación universitariaaprendizaje con móvil; educación universitaria; Sistemas de respuesta de audiencias; Kahoot!; Socrative; ambiente de la claseClassroom climateEducació ExperiènciesKahoot!Aprendizaje con móvilAprenentatgeSocrativemobile learning; higher education; audience response systems; Kahoot!; Socrative; classroom climateAudience response systemsSistemas de respuesta de audienciasHigher educationDIM: Didáctica, Innovación y Multimedia
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Sign Languages Recognition Based on Neural Network Architecture

2017

In the last years, many steps forward have been made in speech and natural languages recognition and were developed many virtual assistants such as Apple’s Siri, Google Now and Microsoft Cortana. Unfortunately, not everyone can use voice to communicate to other people and digital devices. Our system is a first step for extending the possibility of using virtual assistants to speech impaired people by providing an artificial sign languages recognition based on neural network architecture.

American Sign LanguageComputer sciencebusiness.industryTime delay neural networkDeep learningSpeech recognition020207 software engineering02 engineering and technologylanguage.human_languageRecurrent neural network0202 electrical engineering electronic engineering information engineeringNeural network architecturelanguage020201 artificial intelligence & image processingArtificial intelligencebusinessNatural languageSign (mathematics)
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Dissociation between priming and recognition in the expression of sequential knowledge

2002

Exposure to a repeating sequence of target stimuli in a speeded localization task can support both priming of sequence-consistent responses and recognition of sequence components. Here, a task is introduced in which measures of priming and recognition are obtained concurrently, and it is demonstrated that priming of sequence-consistent responses occurs even when test stimuli are not recognized. The results show that sequence knowledge can be expressed in the absence of conscious recognition. However, we also show that this result is consistent with a simple model in which priming and recognition depend on exactly the same underlying memory strength variable.

AmnesiaExperimental and Cognitive PsychologySerial LearningArts and Humanities (miscellaneous)OrientationPsychophysicsReaction TimeDevelopmental and Educational PsychologymedicineExplicit memoryHumansAttentionRecognition memoryResponse primingCommunicationbusiness.industryImplicit learningPattern Recognition VisualMental RecallSequence learningImplicit memoryProbability Learningmedicine.symptombusinessPsychologyKnowledge of Results PsychologicalPriming (psychology)NeurosciencePsychonomic Bulletin & Review
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An odor timer in milk? Synchrony in the odor of milk effluvium and neonatal chemosensation in the mouse.

2012

International audience; Mammalian newborns exhibit avid responsiveness to odor compounds emanating from conspecific milk. Milk is however developmentally heterogeneous in composition as a function of both evolved constraints and offspring demand. The present study aimed to verify whether milk odor attractivity for neonates is equally distributed along lactation in Mus musculus (Balb-c strain). Therefore, we exposed pups varying in age to milk samples collected from females in different lactational stages. The pups were assayed at postnatal days 2 (P2), 6 (P6) and 15 (P15) in a series of paired-choice tests opposing either murine milk and a blank (water), or two samples of milk collected in …

Anatomy and PhysiologyTime FactorsMouse[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionSensory Physiologylcsh:MedicineChoice BehaviorMicefluids and secretionsReproductive PhysiologyLactationFood sciencelcsh:ScienceMice Inbred BALB C0303 health sciencesMultidisciplinaryAnimal BehaviorBehavior Animal05 social sciencesfood and beveragesAnimal ModelsSensory SystemsMammalogyMilkmedicine.anatomical_structureAlimentation et NutritionSensory PerceptionFemaleResearch ArticleOffspringBiologyNeurological System03 medical and health sciencesModel OrganismsAnimal sciencemedicineAnimalsLearningFood and Nutrition0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyBiology030304 developmental biologyOlfactory Systemlcsh:RReproductive SystemAnimals NewbornOdorOdorantslcsh:QZoology[SDV.AEN]Life Sciences [q-bio]/Food and NutritionNeuroscience
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Machine Learning-Based Classification of Vector Vortex Beams.

2020

Structured light is attracting significant attention for its diverse applications in both classical and quantum optics. The so-called vector vortex beams display peculiar properties in both contexts due to the non-trivial correlations between optical polarization and orbital angular momentum. Here we demonstrate a new, flexible experimental approach to the classification of vortex vector beams. We first describe a platform for generating arbitrary complex vector vortex beams inspired to photonic quantum walks. We then exploit recent machine learning methods -- namely convolutional neural networks and principal component analysis -- to recognize and classify specific polarization patterns. O…

Angular momentumComputer sciencequantum opticquanutm informationphotonicsPrincipal component analysisGeneral Physics and AstronomyFOS: Physical sciencesMachine learningcomputer.software_genre01 natural sciencesConvolutional neural networkSettore FIS/03 - Fisica Della Materiaquant-phPolarization0103 physical sciencesQuantum walk010306 general physicsQuantum opticsorbital angular momentum; machine learning; vector vortex beamsQuantum PhysicsQuantum opticsbusiness.industryVortex flowOptical polarizationVectorsVortexmachine learningConvolutional neural networksArtificial intelligencePhotonicsbusinessQuantum Physics (quant-ph)computerStructured lightPhysical review letters
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LA CREAZIONE DI SCUOLE PER GENITORI NELLE ISTITUZIONI PUBBLICHE

2013

L’Unità di ricerca di Pedagogia generale e sociale del Dipartimento di psicologia e di scienze dell’educazione dell’Università di Palermo, d’intesa con le cattedre di Pedagogia della famiglia e di Educazione degli adulti della Facoltà di Scienze della formazione e col supporto logistico e organizzativo dell’Associazione Italiana Maestri Cattolici della Regione Sicilia, ha condotto negli anni scolastici 2010/2011 e 2011/2012, un percorso di formazione di insegnanti animatori di educazione familiare. Ci si è avvalsi della collaborazione del Centro studi pedagogici sulla vita matrimoniale e familiare, istituzione di eccellenza della sede bresciana dell’Università Cattolica del Sacro Cuore, dir…

Animatori familiari ricerca-azione Tranformative learning modelli e pratiche di educazione degli adulti teorie della Bildung.Settore M-PED/01 - Pedagogia Generale E Sociale
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Amnesia and the hippocampus

2006

PURPOSE OF REVIEW: Long-term memory impairments have great medical significance and a considerable health and economic burden. Understanding their cognitive and neuroanatomical underpinnings is of crucial importance. Severe amnesia is usually observed following bilateral hippocampal pathology. This review addresses the precise role of the hippocampus and related medial temporal lobe structures in amnesia. RECENT FINDINGS: Disagreements exist over whether, following selective hippocampal damage: retrograde amnesia for episodic memories is temporally limited or extensive and ungraded; anterograde amnesia involves both recollective and familiarity processes. It is accepted that material specif…

Anterograde amnesiaHippocampusAmnesiaHippocampusTemporal lobeMemoryNeural PathwaysmedicineAnimalsHumansLearningSelective amnesiaAnterograde amnesia Hippocampus Memory Recollection and familiarity Retrograde amnesia Topographical amnesiaEpisodic memoryNootropic AgentsSettore M-PSI/02 - Psicobiologia E Psicologia FisiologicaRetrograde amnesiaAmnesia Anterogrademedicine.diseaseNeurologyParahippocampal GyrusAmnesia RetrogradeMemory consolidationAmnesiaNeurology (clinical)medicine.symptomPsychologyNeuroscienceCognitive psychology
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Comparative study to predict toxic modes of action of phenols from molecular structures.

2013

Quantitative structure-activity relationship models for the prediction of mode of toxic action (MOA) of 221 phenols to the ciliated protozoan Tetrahymena pyriformis using atom-based quadratic indices are reported. The phenols represent a variety of MOAs including polar narcotics, weak acid respiratory uncouplers, pro-electrophiles and soft electrophiles. Linear discriminant analysis (LDA), and four machine learning techniques (ML), namely k-nearest neighbours (k-NN), support vector machine (SVM), classification trees (CTs) and artificial neural networks (ANNs), have been used to develop several models with higher accuracies and predictive capabilities for distinguishing between four MOAs. M…

Antiprotozoal AgentsQuantitative Structure-Activity RelationshipBioengineeringMachine learningcomputer.software_genreConstant false alarm ratePhenolsArtificial IntelligenceDrug DiscoveryTraining setModels StatisticalArtificial neural networkCiliated protozoanMolecular StructureChemistrybusiness.industryTetrahymena pyriformisGeneral MedicineLinear discriminant analysisSupport vector machineTest setTetrahymena pyriformisMolecular MedicineArtificial intelligenceNeural Networks ComputerBiological systembusinesscomputerSAR and QSAR in environmental research
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