Search results for "Active Learning"

showing 10 items of 184 documents

On the Role of Perception: Understanding Stakeholders’ Collaboration in Natural Resources Management through the Evolutionary Theory of Innovation

2021

Natural resources management deals with highly complex socioecological systems. This complexity raises a conundrum, since wide-ranging knowledge from different sources and types is needed, but at the same time none of these types of knowledge is able by itself to provide the basis for a viable productive system, and mismatches between the two of them are common. Therefore, a growing body of literature has examined the integration of different types of knowledge in fisheries management. In this paper, we aim to contribute to this ongoing debate by integrating the evolutionary theory of innovation—and specifically the concept of proximity—and the theory of perception. We set up a theoretical …

0106 biological sciencesDescriptive knowledgeKnowledge managementevolutionary theory of innovationComputer sciencemedia_common.quotation_subjectGeography Planning and Developmentlcsh:TJ807-830lcsh:Renewable energy sourcesnatural resources managementManagement Monitoring Policy and Lawperception010603 evolutionary biology01 natural sciencesInteractive LearningPerceptionObligationCentro Oceanográfico de MurciaPesqueríasNatural resource managementSet (psychology)natural resourceslcsh:Environmental sciencesmedia_commonfishlcsh:GE1-350Renewable Energy Sustainability and the Environmentbusiness.industry010604 marine biology & hydrobiologylcsh:Environmental effects of industries and plantsfishers’ knowledgeproximityCognitionsustainabilitylcsh:TD194-195Fisheries managementbusinessresourcesmanagementSustainability
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Thompson Sampling Based Active Learning in Probabilistic Programs with Application to Travel Time Estimation

2019

The pertinent problem of Traveling Time Estimation (TTE) is to estimate the travel time, given a start location and a destination, solely based on the coordinates of the points under consideration. This is typically solved by fitting a function based on a sequence of observations. However, it can be expensive or slow to obtain labeled data or measurements to calibrate the estimation function. Active Learning tries to alleviate this problem by actively selecting samples that minimize the total number of samples needed to do accurate inference. Probabilistic Programming Languages (PPL) give us the opportunities to apply powerful Bayesian inference to model problems that involve uncertainties.…

0106 biological sciencesEstimation0303 health sciencesSequenceActive learning (machine learning)business.industryComputer scienceProbabilistic logicInferenceFunction (mathematics)Bayesian inferenceMachine learningcomputer.software_genre010603 evolutionary biology01 natural sciences03 medical and health sciencesArtificial intelligencebusinesscomputerThompson sampling030304 developmental biology
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Catalogue of Interactive Learning Objectives to improve an Integrated Medical and Dental Curriculum.

2016

ABSTRACT Introduction Online learning media are increasingly being incorporated into medical and dental education. However, the coordination between obligatory and facultative teaching domains still remains unsatisfying. The Catalogue of Interactive Learning Objectives of the University Clinic of Mainz (ILKUM), aims to offer knowledge transfer for students while being mindful of their individual qualifications. Its hierarchical structure is designed according to the Association for Dental Education in Europe (ADEE) levels of competence. Materials and methods The ILKUM was designed to establish a stronger interconnection between already existing and prospective learning strategies. All conte…

020205 medical informatics02 engineering and technologyDental educationInteractive LearningEducation Distance03 medical and health sciences0302 clinical medicineGermany0202 electrical engineering electronic engineering information engineeringMedicineGeneral DentistryCompetence (human resources)Education DentalSimulation TrainingDental curriculumMedical educationbusiness.industryOnline learning030206 dentistryMobile ApplicationsComputers HandheldThe InternetClinical caseCurriculumbusinessKnowledge transferEducation Medical UndergraduateThe journal of contemporary dental practice
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Adjusted bat algorithm for tuning of support vector machine parameters

2016

Support vector machines are powerful and often used technique of supervised learning applied to classification. Quality of the constructed classifier can be improved by appropriate selection of the learning parameters. These parameters are often tuned using grid search with relatively large step. This optimization process can be done computationally more efficiently and more precisely using stochastic search metaheuristics. In this paper we propose adjusted bat algorithm for support vector machines parameter optimization and show that compared to the grid search it leads to a better classifier. We tested our approach on standard set of benchmark data sets from UCI machine learning repositor…

0209 industrial biotechnologyWake-sleep algorithmActive learning (machine learning)Computer scienceStability (learning theory)Linear classifier02 engineering and technologySemi-supervised learningcomputer.software_genreCross-validationRelevance vector machineKernel (linear algebra)020901 industrial engineering & automationLeast squares support vector machine0202 electrical engineering electronic engineering information engineeringMetaheuristicBat algorithmStructured support vector machinebusiness.industrySupervised learningOnline machine learningParticle swarm optimizationPattern recognitionPerceptronGeneralization errorSupport vector machineKernel methodComputational learning theoryMargin classifierHyperparameter optimization020201 artificial intelligence & image processingData miningArtificial intelligenceHyper-heuristicbusinesscomputer2016 IEEE Congress on Evolutionary Computation (CEC)
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Twitter as a tool for teaching and communicating microbiology: the #micromoocsem initiative

2016

López-Goñi, Ignacio et al.

0301 basic medicineComputer scienceHuman immunodeficiency virus (HIV)medicine.disease_causeMicrobiologíaSocial networksMultidisciplinary approachScience communicationDuration (project management)Biology (General)lcsh:QH301-705.5X300Centro Oceanográfico de Gijónmedia_commoneducation.field_of_studylcsh:LC8-66914. Education05 social sciences050301 educationC500Special aspects of educationsocial networkGeneral Agricultural and Biological SciencesP990AcuiculturaQH301-705.5media_common.quotation_subject030106 microbiologyPopulationTwitterAcademic practiceTips & Toolscollaborative teachingMOOCMicrobiologyGeneral Biochemistry Genetics and Molecular BiologyEducationMicrobiology03 medical and health sciencesactive learningmedicineInstitutioneducationGeneral Immunology and MicrobiologyLC8-6691lcsh:Special aspects of educationTeachingmicrobiologySocial learningsocial learningMicroMOOCSEMlcsh:Biology (General)0503 education
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Towards identifying drug side effects from social media using active learning and crowd sourcing.

2019

Motivation Social media is a largely untapped source of information on side effects of drugs. Twitter in particular is widely used to report on everyday events and personal ailments. However, labeling this noisy data is a difficult problem because labeled training data is sparse and automatic labeling is error-prone. Crowd sourcing can help in such a scenario to obtain more reliable labels, but is expensive in comparison because workers have to be paid. To remedy this, semi-supervised active learning may reduce the number of labeled data needed and focus the manual labeling process on important information. Results We extracted data from Twitter using the public API. We subsequently use Ama…

0303 health sciencesFocus (computing)Information retrievalDrug-Related Side Effects and Adverse ReactionsProcess (engineering)business.industryActive learning (machine learning)Computer scienceComputational BiologyCrowdsourcing03 medical and health sciences0302 clinical medicineProblem-based learningCode (cryptography)CrowdsourcingHumansSocial media030212 general & internal medicinebusinessBaseline (configuration management)Social Media030304 developmental biologyPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
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A Model of Positive and Negative Learning

2017

This chapter proposes a model of positive and negative learning (PNL model). We use the term negative learning when stress among students occurs, and when knowledge and abilities are not properly developed. We use the term positive learning if motivation is high and active learning occurs. The PNL model proposes that (a) learning-related demands and resources contribute to learning engagement and burnout, (b) that learning engagement improves critical thinking, which (c) should enhance students’ abilities to detect fake news. Two studies demonstrate the validity of the learning engagement and burnout constructs, and learning-related demands and resources as possible antecedents. Also, criti…

05 social sciences050301 educationBurnoutTerm (time)Learning engagementCritical thinking0502 economics and businessStress (linguistics)Active learningFake newsPsychology0503 education050203 business & managementCognitive psychology
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Online Intercultural Exchanges Through Digital Storytelling

2017

This article focuses on the affordances of a digital storytelling project in developing students' language, digital and other skills: learning and innovation, creativity, critical thinking, problem solving, team working, and life and career skills. The project was undertaken by university English for Specific Purposes students and was conducted within an Online Intercultural Exchange between the Cyprus University of Technology and the University of Valencia. Its design was based on a Project-Based Learning (PBL) methodology. It incorporated active learning and multimodal resources and capabilities. The need for transforming language teaching pedagogies was borne in mind, as it is necessary …

060201 languages & linguisticsLinguistics and LanguageDigital storytellingmedia_common.quotation_subject05 social sciences050301 education06 humanities and the artsEnglish for specific purposesCreativityTeam workingComputer Science ApplicationsEducationCritical thinking0602 languages and literatureActive learningComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationLanguage educationComputer Vision and Pattern RecognitionPsychologyAffordance0503 educationmedia_commonInternational Journal of Computer-Assisted Language Learning and Teaching
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Sociología, Derecho y desigualdades sociales. Una propuesta de docencia universitaria crítica

2019

Fil: Di Nella, Dino. Universidad Nacional de Río Negro. Río Negro, Argentina. Fil: Almeda, Elisabet. Universidad de Barcelona. Catalunya, España. Fil: Camps Calvet, Clara. Universidad de Barcelona. Catalunya, España. Fil: Giordana, Patricia. Universidad Nacional de Río Negro. Río Negro, Argentina. Fil: Loggiacco, Camila. Universidad Nacional de Río Negro. Río Negro, Argentina. Fil: D'Alfonso, Luis. Universidad Nacional de Río Negro. Río Negro, Argentina. Critic education in human rights and social inequalities must be able to capture holistic and mutidmiensional sphere that Human Rights requires. This study introduces the basis in which critic university teaching proposal is carectarized by…

1137-7038 8537 Arxius de sociologia 525290 2019 40 7038141 SociologíaUniversitiesAlmeda SamaranchCiencias SocialesUniversitatsDrets socials i econòmicsteam workUniversidadesD'Alfonsohuman rightsspecially relevant ones in this field: professional interdisciplinaryenseñanza de la sociología y el derechoGestió de la innovacióSociologyDerecho y desigualdades sociales. Una propuesta de docencia universitaria crítica Di NellaCamps CalvetCamillaUNESCO::SOCIOLOGÍATeaching innovationprofessional interdisciplinary [specially relevant ones in this field]DinoGestión de la innovaciónproblem solving and the utilization of ICTs. Innovación docentedesigualdades socialesteaching of sociology and lawLoggiacco:SOCIOLOGÍA [UNESCO]Derechos sociales y económicosGiordanaDerecho (general)ClaraSociologiasocial inequalities. 65 70ElisabetLuis Critic education in human rights and social inequalities must be able to capture holistic and mutidmiensional sphere that Human Rights requires. This study introduces the basis in which critic university teaching proposal is carectarized by different active learning mechanismes with the students for the achivement of four transversal competencesSocial and economic rightsPensamiento críticoderechos humanosSociologíaPensament críticCritical thinkingInnovation managementPatricia
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Mapping landscape canopy nitrogen content from space using PRISMA data

2021

Abstract Satellite imaging spectroscopy for terrestrial applications is reaching maturity with recently launched and upcoming science-driven missions, e.g. PRecursore IperSpettrale della Missione Applicativa (PRISMA) and Environmental Mapping and Analysis Program (EnMAP), respectively. Moreover, the high-priority mission candidate Copernicus Hyperspectral Imaging Mission for the Environment (CHIME) is expected to globally provide routine hyperspectral observations to support new and enhanced services for, among others, sustainable agricultural and biodiversity management. Thanks to the provision of contiguous visible-to-shortwave infrared spectral data, hyperspectral missions open enhanced …

Active learningActive learning (machine learning)Computer scienceDimensionality reductionHyperspectral imagingPRISMAContext (language use)CollinearityHybrid retrievalDimensionality reductionImaging spectroscopyAtomic and Molecular Physics and OpticsComputer Science ApplicationsImaging spectroscopyCHIMEKrigingEnMAPCanopy nitrogen contentComputers in Earth SciencesEngineering (miscellaneous)Gaussian process regressionRemote sensingISPRS Journal of Photogrammetry and Remote Sensing
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